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Loet Leydesdorff

(deceased)

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Henriette Ruhrmann & Michael Fritsch & Loet Leydesdorff, 2020. "Smart Specialization Strategies at National, Regional, or Local Levels? Synergy and Policy-making in German Systems of Innovation," Jena Economics Research Papers 2020-007, Friedrich-Schiller-University Jena.

    Cited by:

    1. Shvets, Nataliia & Shevtsova, Hanna & Pidorycheva, Iryna & Prokopenko, Olha & Maslosh, Olha, 2023. "Sustainable development of agriculture based on the smart specialisation approach: cases of the Central and Eastern European countries," Agricultural and Resource Economics: International Scientific E-Journal, Agricultural and Resource Economics: International Scientific E-Journal, vol. 9(1), March.

  2. Loet Leydesdorff & Henry Etzkowitz & Inga Ivanova & Martin Meyer, 2017. "The Measurement of Synergy in Innovation Systems: Redundancy Generation in a Triple Helix of University-Industry-Government Relations," SPRU Working Paper Series 2017-08, SPRU - Science Policy Research Unit, University of Sussex Business School.

    Cited by:

    1. Danilo Boffa & Antonio Prencipe, 2021. "The Emerging Contextual Effect of University Spin-offs and its Role in Spurring Innovation in Regional Area," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 11(6), pages 1-3.
    2. Loet Leydesdorff & Igone Porto-Gomez, 2019. "Measuring the expected synergy in Spanish regional and national systems of innovation," The Journal of Technology Transfer, Springer, vol. 44(1), pages 189-209, February.
    3. Ghazinoory, Sepehr & Nasri, Shohreh & Afshari-Mofrad, Masoud & Taghizadeh Moghadam, Negin, 2023. "National Innovation Biome (NIB): A novel conceptualization for innovation development at the national level," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    4. Zhang, Yi & Chen, Kaihua & Fu, Xiaolan, 2019. "Scientific effects of Triple Helix interactions among research institutes, industries and universities," Technovation, Elsevier, vol. 86, pages 33-47.
    5. Balzhan Orazbayeva & Carolin Plewa & Todd Davey & Victoria Galán-Muros, 2019. "The future of University-Business Cooperation: research and practice priorities," Post-Print hal-02880384, HAL.

  3. Inga Ivanova & Oivind Strand & Duncan Kushnir & Loet Leydesdorff, 2016. "Economic and Technological Complexity: A Model Study of Indicators of Knowledge-based Innovation Systems," Papers 1602.02348, arXiv.org, revised Dec 2016.

    Cited by:

    1. Nguyen, Canh Phuc & Su, Thanh Dinh, 2021. "Economic integration and economic complexity: The role of basic resources in absorptive capability in 40 selected developing countries," Economic Analysis and Policy, Elsevier, vol. 71(C), pages 609-625.
    2. Gianluca Biggi & Elisa Giuliani & Arianna Martinelli, 2020. "Patent Toxicity," LEM Papers Series 2020/33, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    3. Sun, Lingyun & Hasi, Muqier, 2024. "Effects of mining sector FDI, environmental regulations, and economic complexity, on mineral resource dependency in selected OECD countries," Resources Policy, Elsevier, vol. 89(C).
    4. Behrooz Shahmoradi & Reza Hafezi & Payam Chiniforooshan, 2024. "Industrial Development Policies Based on Economic Complexity Under Plausible Scenarios: Case of Iran 2027," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(2), pages 6578-6603, June.
    5. Ul-Durar, Shajara & Arshed, Noman & Anwar, Awais & Sharif, Arshian & Liu, Wei, 2023. "How does economic complexity affect natural resource extraction in resource rich countries?," Resources Policy, Elsevier, vol. 86(PB).
    6. de Almeida, Liliane & Augusto de Jesus Pacheco, Diego & Caten, Carla Schwengber ten & Jung, Carlos Fernando, 2021. "A methodology for identifying results and impacts in technological innovation projects," Technology in Society, Elsevier, vol. 66(C).
    7. Maleki, Ali & Rosiello, Alessandro, 2019. "Does knowledge base complexity affect spatial patterns of innovation? An empirical analysis in the upstream petroleum industry," Technological Forecasting and Social Change, Elsevier, vol. 143(C), pages 273-288.
    8. Sehludi Molele & Thobeka Ncanywa, 2022. "Interrogating the association between current account and economic complexity: A selected Sub-Saharan Africa and BRICS comparative analysis," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 11(10), pages 160-170, December.
    9. Liang, Zhentao & Ba, Zhichao & Mao, Jin & Li, Gang, 2023. "Research complexity increases with scientists’ academic age: Evidence from library and information science," Journal of Informetrics, Elsevier, vol. 17(1).
    10. Nguyen Phuc Canh & Su Dinh Thanh, 2022. "The Dynamics of Export Diversification, Economic Complexity and Economic Growth Cycles: Global Evidence," Foreign Trade Review, , vol. 57(3), pages 234-260, August.
    11. Pintar, Nico & Scherngell, Thomas, 2022. "The complex nature of regional knowledge production: Evidence on European regions," Research Policy, Elsevier, vol. 51(8).
    12. Li, Zhiyuan & Doğan, Buhari & Ghosh, Sudeshna & Chen, Wei-Ming & Lorente, Daniel Balsalobre, 2024. "Economic complexity, natural resources and economic progress in the era of sustainable development: Findings in the context of resource deployment challenges," Resources Policy, Elsevier, vol. 88(C).
    13. Canh, Nguyen Phuc & Schinckus, Christophe & Thanh, Su Dinh, 2020. "The natural resources rents: Is economic complexity a solution for resource curse?," Resources Policy, Elsevier, vol. 69(C).
    14. Dogan Kesap & Ali Riza Sandalcilar, 2024. "Panel Causality Analysis of the Relationship among the Rule of Law, Technological Advances, Competitiveness, and Value-Added," Istanbul Journal of Economics-Istanbul Iktisat Dergisi, Istanbul University, Faculty of Economics, vol. 73(74-1), pages 159-191., June.
    15. Semanur SOYYİĞİT & Sevgi ELVERDİ, 2024. "The Participation Of G20 Countries In Global Value Chains And Their Effects On Economic Complexity," Studies in Business and Economics, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 19(1), pages 236-254, April.
    16. Ewodo-Amougou, Marcel Rodrigue & Sapnken, Flavian Emmanuel & Mfetoum, Inoussah Moungnutou & Tamba, Jean Gaston, 2023. "Analysis of the relationship between oil rent and crude oil production in Cameroon: Evidence from ARDL and NARDL models," Resources Policy, Elsevier, vol. 85(PB).
    17. Inga Ivanova & Øivind Strand & Loet Leydesdorff, 2019. "An Eco-Systems Approach To Constructing Economic Complexity Measures: Endogenization Of The Technological Dimension Using Lotka–Volterra Equations," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 22(01), pages 1-21, February.
    18. Nguyen, Canh Phuc & Nguyen, Bach & Duy Tung, Bui & Dinh Su, Thanh, 2021. "Economic complexity and entrepreneurship density: A non-linear effect study," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    19. Maurya, Garima & Sahu, Sohini, 2022. "Cross-country variations in economic complexity: The role of individualism," Economic Modelling, Elsevier, vol. 115(C).
    20. Ibrahim Alnafrah, 2021. "Efficiency evaluation of BRICS’s national innovation systems based on bias-corrected network data envelopment analysis," Journal of Innovation and Entrepreneurship, Springer, vol. 10(1), pages 1-28, December.
    21. Gnangnon, Sèna Kimm, 2022. "Effect of the duration of membership in the World Trade Organization on Trademark Applications," EconStor Preprints 253266, ZBW - Leibniz Information Centre for Economics.
    22. Nguyen, Canh Phuc, 2022. "Does economic complexity matter for the shadow economy?," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 210-227.
    23. Parcu, Pier Luigi & Innocenti, Niccolò & Carrozza, Chiara, 2022. "Ubiquitous technologies and 5G development. Who is leading the race?," Telecommunications Policy, Elsevier, vol. 46(4).
    24. Onea Ioana Alexandra, 2020. "Innovation Indicators and the Innovation Process - Evidence from the European Innovation Scoreboard," Management & Marketing, Sciendo, vol. 15(4), pages 605-620, December.
    25. Adedoyin, Festus Fatai & Erum, Naila & Ozturk, Ilhan, 2022. "Does higher innovation intensity matter for abating the climate crisis in the presence of economic complexities? Evidence from a Global Panel Data," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
    26. Travis J. Lybbert & Mingzhi Xu, 2022. "Innovation‐adjusted economic complexity and growth: Do patent flows reveal enhanced economic capabilities?," Review of Development Economics, Wiley Blackwell, vol. 26(1), pages 442-483, February.

  4. Lengyel, Balázs & Leydesdorff, Loet, 2015. "The Effects of FDI on Innovation Systems in Hungarian Regions: Where is the Synergy Generated?," MPRA Paper 73945, University Library of Munich, Germany.

    Cited by:

    1. Shah, Mumtaz Hussain, 2016. "The Effect of Macroeconomic Stability on Inward FDI in African Developing Countries," MPRA Paper 82014, University Library of Munich, Germany.
    2. Sebestyén, Tamás & Braun, Erik & Bilicz, Dávid & Iloskics, Zita, 2024. "Egyetemek és vállalatok kutatási együttműködése a helyi tudástermelésben [Research cooperation between universities and companies in local knowledge production]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(11), pages 1199-1221.
    3. Zoltán Elekes & Balázs Lengyel, 2016. "Related trade linkages, foreign firms, and employment growth in less developed regions," Papers in Evolutionary Economic Geography (PEEG) 1620, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Aug 2016.
    4. Izabella Szakálné Kanó & Zsófia Vas & Slávka Klasová, 2023. "Emerging Synergies in Innovation Systems: Creative Industries in Central Europe," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 14(1), pages 450-471, March.
    5. Zoltán Elekes & Ron Boschma & Balázs Lengyel, 2018. "Foreign-owned firms as agents of structural change in regions: the case of Hungary 2000-2009," Papers in Evolutionary Economic Geography (PEEG) 1812, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Mar 2018.
    6. Kunofiwa Tsaurai, 2018. "Foreign Direct Investment Dynamics in Hungary," Journal of Economics and Behavioral Studies, AMH International, vol. 9(6), pages 122-131.
    7. Henriette Ruhrmann & Michael Fritsch & Loet Leydesdorff, 2020. "Smart Specialization Strategies at National, Regional, or Local Levels? Synergy and Policy-making in German Systems of Innovation," Jena Economics Research Papers 2020-007, Friedrich-Schiller-University Jena.

  5. Loet Leydesdorff & Gaston Heimeriks & Daniele Rotolo, 2015. "Journal Portfolio Analysis for Countries, Cities, and Organizations: Maps and Comparisons?," SPRU Working Paper Series 2015-11, SPRU - Science Policy Research Unit, University of Sussex Business School.

    Cited by:

    1. Loet Leydesdorff & Dieter Franz Kogler & Bowen Yan, 2017. "Mapping patent classifications: portfolio and statistical analysis, and the comparison of strengths and weaknesses," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1573-1591, September.
    2. Javier López González & Valentina Meliciani & Maria Savona, 2019. "When Linder meets Hirschman: inter-industry linkages and global value chains in business services," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 28(6), pages 1555-1586.
    3. Janaina Pamplona da Costa, 2015. "Network (Mis)Alignment, Technology Policy and Innovation: The Tale of Two Brazilian Cities," SPRU Working Paper Series 2015-14, SPRU - Science Policy Research Unit, University of Sussex Business School.
    4. Muhammad Omar & Arif Mehmood & Gyu Sang Choi & Han Woo Park, 2017. "Global mapping of artificial intelligence in Google and Google Scholar," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(3), pages 1269-1305, December.
    5. Leydesdorff, Loet & Bornmann, Lutz & Zhou, Ping, 2016. "Construction of a pragmatic base line for journal classifications and maps based on aggregated journal-journal citation relations," Journal of Informetrics, Elsevier, vol. 10(4), pages 902-918.
    6. Roman Jurowetzki, 2015. "Unpacking Big Systems - Natural Language Processing meets Network Analysis. A Study of Smart Grid Development in Denmark," SPRU Working Paper Series 2015-15, SPRU - Science Policy Research Unit, University of Sussex Business School.
    7. A. I. M. Jakaria Rahman & Raf Guns & Loet Leydesdorff & Tim C. E. Engels, 2016. "Measuring the match between evaluators and evaluees: cognitive distances between panel members and research groups at the journal level," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 1639-1663, December.
    8. Phil Johnstone & Andy Stirling, 2015. "Comparing Nuclear Power Trajectories inGermany And the UK: From ‘Regimes’ to ‘Democracies’ in Sociotechnical Transitions and Discontinuities," SPRU Working Paper Series 2015-18, SPRU - Science Policy Research Unit, University of Sussex Business School.
    9. Jungjoon Kim & Sangpil Lee & We Shim & Jongseok Kang, 2016. "A Mapping of Marine Biodiversity Research Trends and Collaboration in the East Asia Region from 1996–2015," Sustainability, MDPI, vol. 8(10), pages 1-17, October.

  6. Daniele Rotolo & Ismael Rafols & Michael Hopkins & Loet Leydesdorff, 2014. "Scientometric Mapping as a Strategic Intelligence Tool for the Governance of Emerging Technologies," SPRU Working Paper Series 2014-10, SPRU - Science Policy Research Unit, University of Sussex Business School.

    Cited by:

    1. Daniele Rotolo & Loet Leydesdorff, 2014. "Matching MEDLINE/PubMed Data with Web of Science (WOS): A Routine in R language," SPRU Working Paper Series 2014-14, SPRU - Science Policy Research Unit, University of Sussex Business School.
    2. Rotolo, Daniele & Hicks, Diana & Martin, Ben R., 2015. "What is an emerging technology?," Research Policy, Elsevier, vol. 44(10), pages 1827-1843.
    3. Leonid Gokhberg & Ilya Kuzminov & Pavel Bakhtin & Elena Tochilina & Alexander Chulok & Anton Timofeev & Alina Lavrinenko, 2017. "Big-Data-Augmented Approach to Emerging Technologies Identification: Case of Agriculture and Food Sector," HSE Working papers WP BRP 76/STI/2017, National Research University Higher School of Economics.

  7. Inga Ivanova & Oivind Strand & Loet Leydesdorff, 2014. "Synergy cycles in the Norwegian innovation system: The relation between synergy and cycle values," Papers 1409.2760, arXiv.org.

    Cited by:

    1. Eustache Mêgnigbêto, 2018. "Correlation Between Transmission Power and Some Indicators Used to Measure the Knowledge-Based Economy: Case of Six OECD Countries," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 9(4), pages 1168-1183, December.
    2. Mêgnigbêto, Eustache, 2018. "Modelling the Triple Helix of university-industry-government relationships with game theory: Core, Shapley value and nucleolus as indicators of synergy within an innovation system," Journal of Informetrics, Elsevier, vol. 12(4), pages 1118-1132.

  8. Ismael Rafols & Loet Leydesdorff & Alice O'Hare & Paul Nightingale & Andy Stirling, 2011. "How Journal Rankings can suppress Interdisciplinary Research – A Comparison between Innovation Studies and Business & Management," DRUID Working Papers 11-05, DRUID, Copenhagen Business School, Department of Industrial Economics and Strategy/Aalborg University, Department of Business Studies.

    Cited by:

    1. Hussain, Simon & Liu, Lana Yan Jun & Miller, Anthony D., 2020. "Accounting as a dichotomised discipline: An analysis of the source materials used in the construction of accounting articles," CRITICAL PERSPECTIVES ON ACCOUNTING, Elsevier, vol. 66(C).
    2. Belkhouja, Mustapha & Fattoum, Senda & Yoon, Hyungseok (David), 2021. "Does greater diversification increase individual productivity? The moderating effect of attention allocation," Research Policy, Elsevier, vol. 50(6).
    3. Ronald Rousseau, 2018. "The repeat rate: from Hirschman to Stirling," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 645-653, July.
    4. Cottafava, Dario & Ascione, Grazia Sveva & Corazza, Laura & Dhir, Amandeep, 2022. "Sustainable development goals research in higher education institutions: An interdisciplinarity assessment through an entropy-based indicator," Journal of Business Research, Elsevier, vol. 151(C), pages 138-155.
    5. Francesco Giovanni Avallone & Alberto Quagli & Paola Ramassa, 2022. "Interdisciplinary research by accounting scholars: An exploratory study," FINANCIAL REPORTING, FrancoAngeli Editore, vol. 2022(2), pages 5-34.
    6. Patrick Röhm, 2018. "Exploring the landscape of corporate venture capital: a systematic review of the entrepreneurial and finance literature," Management Review Quarterly, Springer, vol. 68(3), pages 279-319, August.
    7. Seongkyoon Jeong & Jong-Chan Kim & Jae Young Choi, 2015. "Technology convergence: What developmental stage are we in?," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(3), pages 841-871, September.
    8. Rowlinson, Michael & Harvey, Charles & Kelly, Aidan & Morris, Huw & Todeva, Emanuela, 2015. "Accounting for research quality: Research audits and the journal rankings debate," MPRA Paper 67613, University Library of Munich, Germany.
    9. Seokbeom Kwon & Alan Porter & Jan Youtie, 2016. "Navigating the innovation trajectories of technology by combining specialization score analyses for publications and patents: graphene and nano-enabled drug delivery," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(3), pages 1057-1071, March.
    10. Kaltrina Nuredini, 2021. "Investigating Altmetric Information For The Top 1000 Journals From Handelsblatt Ranking In Economic And Business Studies," Journal of Economic Surveys, Wiley Blackwell, vol. 35(5), pages 1315-1343, December.
    11. Hackett, Edward J. & Leahey, Erin & Parker, John N. & Rafols, Ismael & Hampton, Stephanie E. & Corte, Ugo & Chavarro, Diego & Drake, John M. & Penders, Bart & Sheble, Laura & Vermeulen, Niki & Vision,, 2021. "Do synthesis centers synthesize? A semantic analysis of topical diversity in research," Research Policy, Elsevier, vol. 50(1).
    12. Davies, Andrew & Manning, Stephan & Söderlund, Jonas, 2018. "When neighboring disciplines fail to learn from each other: The case of innovation and project management research," Research Policy, Elsevier, vol. 47(5), pages 965-979.
    13. Frenken, Koen & Heimeriks, Gaston J. & Hoekman, Jarno, 2017. "What drives university research performance? An analysis using the CWTS Leiden Ranking data," Journal of Informetrics, Elsevier, vol. 11(3), pages 859-872.
    14. Jiban K. Pal, 2021. "Visualizing the knowledge outburst in global research on COVID-19," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(5), pages 4173-4193, May.
    15. Whalen, Ryan, 2018. "Boundary spanning innovation and the patent system: Interdisciplinary challenges for a specialized examination system," Research Policy, Elsevier, vol. 47(7), pages 1334-1343.
    16. Andrew Seltzer & Martin Shanahan & Claire Wright, 2022. "The Rise and Fall and Rise (?) of Economic History in Australia," CEH Discussion Papers 05, Centre for Economic History, Research School of Economics, Australian National University.
    17. Jan Youtie, 2014. "The use of citation speed to understand the effects of a multi-institutional science center," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(3), pages 613-621, September.
    18. Drivas, Kyriakos & Kremmydas, Dimitris, 2020. "The Matthew effect of a journal's ranking," Research Policy, Elsevier, vol. 49(4).
    19. Giovanni Abramo & Ciriaco Andrea D’Angelo & Myroslava Hladchenko, 2023. "Assessing the effects of publication requirements for professorship on research performance and publishing behaviour of Ukrainian academics," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(8), pages 4589-4609, August.
    20. Alfonso Ávila-Robinson & Cristian Mejia & Shintaro Sengoku, 2021. "Are bibliometric measures consistent with scientists’ perceptions? The case of interdisciplinarity in research," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(9), pages 7477-7502, September.
    21. Claire Wright & Simon Ville, 2017. "The Evolution of an Intellectual Community Through the Words of Its Founders: Recollections of Australia's Economic History Field," Australian Economic History Review, Economic History Society of Australia and New Zealand, vol. 57(3), pages 345-367, November.
    22. Giulio Giacomo Cantone, 2024. "How to measure interdisciplinary research? A systemic design for the model of measurement," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(8), pages 4937-4982, August.
    23. Hakyeon Lee, 2015. "Uncovering the multidisciplinary nature of technology management: journal citation network analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 51-75, January.
    24. Diana Hicks & Julia Melkers, 2013. "Bibliometrics as a tool for research evaluation," Chapters, in: Albert N. Link & Nicholas S. Vonortas (ed.), Handbook on the Theory and Practice of Program Evaluation, chapter 11, pages 323-349, Edward Elgar Publishing.
    25. María del Carmen Calatrava Moreno & Thomas Auzinger & Hannes Werthner, 2016. "On the uncertainty of interdisciplinarity measurements due to incomplete bibliographic data," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(1), pages 213-232, April.
    26. Fagerberg, Jan & Landström, Hans & Martin, Ben R., 2012. "Exploring the emerging knowledge base of ‘the knowledge society’," Research Policy, Elsevier, vol. 41(7), pages 1121-1131.
    27. Schuitema, Geertje & D. Sintov, Nicole, 2017. "Should we quit our jobs? Challenges, barriers and recommendations for interdisciplinary energy research," Energy Policy, Elsevier, vol. 101(C), pages 246-250.
    28. Sándor Soós & Zsófia Vida & András Schubert, 2018. "Long-term trends in the multidisciplinarity of some typical natural and social sciences, and its implications on the SSH versus STM distinction," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(3), pages 795-822, March.
    29. Bambang Winarko & A. Abrizah & Muzammil Tahira, 2016. "An assessment of quality, trustworthiness and usability of Indonesian agricultural science journals: stated preference versus revealed preference study," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(1), pages 289-304, July.
    30. Ran Xu & Navid Ghaffarzadegan, 2018. "Neuroscience bridging scientific disciplines in health: Who builds the bridge, who pays for it?," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(2), pages 1183-1204, November.
    31. Tomaz Bartol & Gordana Budimir & Primoz Juznic & Karmen Stopar, 2016. "Mapping and classification of agriculture in Web of Science: other subject categories and research fields may benefit," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 979-996, November.
    32. Buehling, Kilian, 2021. "Changing research topic trends as an effect of publication rankings – The case of German economists and the Handelsblatt Ranking," Journal of Informetrics, Elsevier, vol. 15(3).
    33. de Nooy, Wouter & Leydesdorff, Loet, 2015. "The dynamics of triads in aggregated journal–journal citation relations: Specialty developments at the above-journal level," Journal of Informetrics, Elsevier, vol. 9(3), pages 542-554.
    34. Chen, Shiji & Arsenault, Clément & Larivière, Vincent, 2015. "Are top-cited papers more interdisciplinary?," Journal of Informetrics, Elsevier, vol. 9(4), pages 1034-1046.
    35. Lina Xu & Steven Dellaportas & Zhiqiang Yang & Jin Wang, 2023. "More on the relationship between interdisciplinary accounting research and citation impact," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(4), pages 4779-4803, December.
    36. Jappelli, Tullio & Peracchi, Franco & Bertocchi, Graziella & Gambardella, Alfonso & Nappi, Carmela A, 2013. "Bibliometric Evaluation vs. Informed Peer Review: Evidence from Italy," CEPR Discussion Papers 9724, C.E.P.R. Discussion Papers.
    37. Sander Zwanenburg & Maryam Nakhoda & Peter Whigham, 2022. "Toward greater consistency and validity in measuring interdisciplinarity: a systematic and conceptual evaluation," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7769-7788, December.
    38. Anita Doraisami & Alex Millmow, 2016. "Funding Australian economics research: Local benefits?," The Economic and Labour Relations Review, , vol. 27(4), pages 511-524, December.
    39. Daimer, Stephanie & Havas, Attila & Cuhls, Kerstin & Yorulmaz, Merve & Vrgovic, Petar, 2021. "Multiple futures for society, research, and innovation in the European Union: Jumping to 2038," MPRA Paper 113098, University Library of Munich, Germany.
    40. Rebora, Gianfranco & Turri, Matteo, 2013. "The UK and Italian research assessment exercises face to face," Research Policy, Elsevier, vol. 42(9), pages 1657-1666.
    41. Péter Sasvári & Tamás Kaiser & Krisztián Várföldi & Csaba Fási, 2023. "Scientific Excellence and Publication Patterns: The Winning Applicants of the Bolyai János Research Scholarship in Hungary in 2021," Publications, MDPI, vol. 11(3), pages 1-18, September.
    42. Abramo, Giovanni & D’Angelo, Ciriaco Andrea & Di Costa, Flavia, 2019. "When research assessment exercises leave room for opportunistic behavior by the subjects under evaluation," Journal of Informetrics, Elsevier, vol. 13(3), pages 830-840.
    43. Charles Ayoubi & Michele Pezzoni & Fabiana Visentin, 2018. "The important thing is not to win, it is to take part: What if scientists benefit from participating in research grant competitions?," Post-Print halshs-03565971, HAL.
    44. Froese, Anna & Woiwode, Hendrik & Suckow, Silvio, 2019. "Mission Impossible? Neue Wege zu Interdisziplinarität: Empfehlungen für Wissenschaft, Wissenschaftspolitik und Praxis," Discussion Papers, Research Group Science Policy Studies SP III 2019-601, WZB Berlin Social Science Center.
    45. Dellaportas, Steven & Xu, Lina & Yang, Zhiqiang, 2022. "The level of cross-disciplinarity in cross-disciplinary accounting research: analysis and suggestions for improvement," CRITICAL PERSPECTIVES ON ACCOUNTING, Elsevier, vol. 85(C).
    46. Reddy, Kotapati Srinivasa, 2015. "Extant Reviews on Entry-mode/Internationalization, Mergers & Acquisitions, and Diversification: Understanding Theories and Establishing Interdisciplinary Research," MPRA Paper 63744, University Library of Munich, Germany, revised 2015.
    47. Loet Leydesdorff & Inga Ivanova, 2021. "The measurement of “interdisciplinarity” and “synergy” in scientific and extra‐scientific collaborations," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(4), pages 387-402, April.
    48. Loet Leydesdorff & Stephen Carley & Ismael Rafols, 2013. "Global maps of science based on the new Web-of-Science categories," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(2), pages 589-593, February.
    49. Mingers, John & Leydesdorff, Loet, 2015. "A review of theory and practice in scientometrics," European Journal of Operational Research, Elsevier, vol. 246(1), pages 1-19.
    50. Loet Leydesdorff & Duncan Kushnir & Ismael Rafols, 2014. "Interactive overlay maps for US patent (USPTO) data based on International Patent Classification (IPC)," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1583-1599, March.
    51. Lorenzo Cassi & Wilfriedo Mescheba & Elisabeth de Turckheim, 2014. "How to evaluate the degree of interdisciplinarity of an institution?," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-00987714, HAL.
    52. Xuefeng Wang & Zhinan Wang & Ying Huang & Yun Chen & Yi Zhang & Huichao Ren & Rongrong Li & Jinhui Pang, 2017. "Measuring interdisciplinarity of a research system: detecting distinction between publication categories and citation categories," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 2023-2039, June.
    53. Chen, Shiji & Qiu, Junping & Arsenault, Clément & Larivière, Vincent, 2021. "Exploring the interdisciplinarity patterns of highly cited papers," Journal of Informetrics, Elsevier, vol. 15(1).
    54. Yoon, Hyungseok & Belkhouja, Mustapha & Wei, Yingqi & Lee, Sangho, 2021. "Born to be similar? Global isomorphism and the emergence of latecomer business schools," International Business Review, Elsevier, vol. 30(5).
    55. Qing Ke, 2023. "Interdisciplinary research and technological impact: evidence from biomedicine," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(4), pages 2035-2077, April.
    56. Ben Martin, 2016. "What is Happening to our Universities?," SPRU Working Paper Series 2016-03, SPRU - Science Policy Research Unit, University of Sussex Business School.
    57. Ben Martin & Paul Nightingale & Alfredo Yegros-Yegros, 2011. "Science and Technology Studies: Exploring the Knowledge Base," Working Papers on Innovation Studies 20111004, Centre for Technology, Innovation and Culture, University of Oslo.
    58. Rafael Lata & Sidonia Proff & Thomas Brenner, 2018. "The influence of distance types on co-patenting and co-publishing in the USA and Europe over time," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 61(1), pages 49-71, July.
    59. Vogel, Rick & Hattke, Fabian & Petersen, Jessica, 2017. "Journal rankings in management and business studies: What rules do we play by?," Research Policy, Elsevier, vol. 46(10), pages 1707-1722.
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    61. Nicky Agate & Rebecca Kennison & Stacy Konkiel & Christopher P. Long & Jason Rhody & Simone Sacchi & Penelope Weber, 2020. "The transformative power of values-enacted scholarship," Palgrave Communications, Palgrave Macmillan, vol. 7(1), pages 1-12, December.
    62. Sandra Rousseau & Ronald Rousseau, 2021. "Bibliometric Techniques And Their Use In Business And Economics Research," Journal of Economic Surveys, Wiley Blackwell, vol. 35(5), pages 1428-1451, December.
    63. Shiji Chen & Yanhui Song & Fei Shu & Vincent Larivière, 2022. "Interdisciplinarity and impact: the effects of the citation time window," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(5), pages 2621-2642, May.
    64. Pim Vugteveen & Rob Lenders & Peter Van den Besselaar, 2014. "The dynamics of interdisciplinary research fields: the case of river research," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(1), pages 73-96, July.
    65. Kevin M. Kniffin & Andrew S. Hanks & Xuechao Qian & Bo Wang & Bruce A. Weinberg, 2020. "Dissertators with Distantly Related Foci Face Divergent Near-Term Outcomes," NBER Working Papers 27825, National Bureau of Economic Research, Inc.
    66. Jingwei Zheng & Ke Zhang & Boya Han & Jiayi Hou, 2023. "Research Interdisciplinarity and Citation Impact: A Network Analysis of Social Networking Sites Research," SAGE Open, , vol. 13(3), pages 21582440231, August.
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    69. Jakob Kapeller & Matthias Aistleitner & Stefan Steinerberger, 2017. "Citation Patterns in Economics and Beyond: Assessing the Peculiarities of Economics from Two Scientometric Perspectives," ICAE Working Papers 60, Johannes Kepler University, Institute for Comprehensive Analysis of the Economy.
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    80. Kapoor, Kawaljeet & Ziaee Bigdeli, Ali & Dwivedi, Yogesh K. & Schroeder, Andreas & Beltagui, Ahmad & Baines, Tim, 2021. "A socio-technical view of platform ecosystems: Systematic review and research agenda," Journal of Business Research, Elsevier, vol. 128(C), pages 94-108.
    81. Simon Hussain & Lana Liu & Yue Wang & Lingyan Zuo, 2015. "Journal Rankings, Collaborative Research and Publication Strategies: Evidence from China," Accounting Education, Taylor & Francis Journals, vol. 24(3), pages 233-255, June.
    82. Jorge Mañana Rodríguez, 2017. "Disciplinarity and interdisciplinarity in citation and reference dimensions: knowledge importation and exportation taxonomy of journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 617-642, February.
    83. Kevin M. Kniffin & Andrew S. Hanks, 2017. "Antecedents and near-term consequences for interdisciplinary dissertators," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1225-1250, June.
    84. Carlo D'Ippoliti, 2021. "“Many‐Citedness”: Citations Measure More Than Just Scientific Quality," Journal of Economic Surveys, Wiley Blackwell, vol. 35(5), pages 1271-1301, December.
    85. Ben Purvis & Hannah Keding & Ashley Lewis & Phil Northall, 2023. "Critical reflections of postgraduate researchers on a collaborative interdisciplinary research project," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-13, December.
    86. Rafols, Ismael & Ciarli, Tommaso & Chavarro, Diego, 2015. "Under-reporting research relevant to local needs in the global south. Database biases in the representation of knowledge on rice," SocArXiv 3kf9d, Center for Open Science.
    87. Jorge Mannana-Rodriguez & Elea Giménez-Toledo, 2018. "Specialization and multidisciplinarity of scholarly book publishers: differences between Spanish University Presses and other scholarly publishers," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(1), pages 19-30, January.
    88. Tommy Clausen & Jan Fagerberg & Magnus Gulbrandsen, 2012. "Mobilizing for Change: A Study of Research Units in Emerging Scientific Fields," Working Papers on Innovation Studies 20120319, Centre for Technology, Innovation and Culture, University of Oslo.
    89. Mingers, John & Yang, Liying, 2017. "Evaluating journal quality: A review of journal citation indicators and ranking in business and management," European Journal of Operational Research, Elsevier, vol. 257(1), pages 323-337.
    90. Rafols, Ismael & Stirling, Andy, 2020. "Designing indicators for opening up evaluation. Insights from research assessment," SocArXiv h2fxp, Center for Open Science.
    91. Diego Chavarro & Puay Tang & Ismael Rafols, 2016. "Why researchers publish in non-mainstream journals: Training, knowledge bridging, and gap filling," SPRU Working Paper Series 2016-22, SPRU - Science Policy Research Unit, University of Sussex Business School.
    92. Matías Ginieis & Xiaoni Li, 2020. "Ranking of Sustainability Journals Using the Author Affiliation Index and Comparison to Other Journal Metrics," Sustainability, MDPI, vol. 12(3), pages 1-18, February.
    93. Kragt, M.E. & Pannell, D.J. & McVittie, A. & Stott, A.W. & Vosough Ahmadi, B. & Wilson, P., 2016. "Improving interdisciplinary collaboration in bio-economic modelling for agricultural systems," Agricultural Systems, Elsevier, vol. 143(C), pages 217-224.
    94. Krammer, Sorin M.S. & Belkouja, Mustapha & Yoon, David, 2019. "Research performance of teams in Business and Management: The impact of team size, knowledge diversity and international diversity," MPRA Paper 104548, University Library of Munich, Germany, revised 06 Jun 2019.
    95. Leydesdorff, Loet & Wagner, Caroline S. & Bornmann, Lutz, 2019. "Interdisciplinarity as diversity in citation patterns among journals: Rao-Stirling diversity, relative variety, and the Gini coefficient," Journal of Informetrics, Elsevier, vol. 13(1), pages 255-269.
    96. Loet Leydesdorff & Caroline S. Wagner & Lutz Bornmann, 2018. "Betweenness and diversity in journal citation networks as measures of interdisciplinarity—A tribute to Eugene Garfield," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(2), pages 567-592, February.
    97. Pablo Jensen & Katsiaryna Lutkouskaya, 2014. "The many dimensions of laboratories’ interdisciplinarity," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(1), pages 619-631, January.
    98. Jian Wang & Bart Thijs & Wolfgang Glänzel, 2015. "Interdisciplinarity and Impact: Distinct Effects of Variety, Balance, and Disparity," PLOS ONE, Public Library of Science, vol. 10(5), pages 1-18, May.
    99. Joe Tidd & John Bessant, 2018. "Innovation Management Challenges: From Fads To Fundamentals," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 22(05), pages 1-13, June.
    100. Paolo Aversa & Cristina Bettinelli & Gabriella Levanti & Arabella Mocciaro Li Destri & Pasquale Massimo Picone, 2024. "Leveraging intersections in management," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 28(3), pages 687-705, September.
    101. Loet Leydesdorff & Paul Wouters & Lutz Bornmann, 2016. "Professional and citizen bibliometrics: complementarities and ambivalences in the development and use of indicators—a state-of-the-art report," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 2129-2150, December.
    102. Shahadat Uddin & Tasadduq Imam & Mohammad Mozumdar, 2021. "Research interdisciplinarity: STEM versus non-STEM," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 603-618, January.
    103. Garcia Martin, Patricia Carolina & Schroeder, Andreas & Ziaee Bigdeli, Ali, 2019. "The value architecture of servitization: Expanding the research scope," Journal of Business Research, Elsevier, vol. 104(C), pages 438-449.
    104. Juan María Hernández & Pablo Dorta-González, 2020. "Interdisciplinarity Metric Based on the Co-Citation Network," Mathematics, MDPI, vol. 8(4), pages 1-8, April.
    105. Tourish, Dennis & Willmott, Hugh, 2015. "In Defiance of Folly: Journal rankings, mindless measures and the ABS Guide," CRITICAL PERSPECTIVES ON ACCOUNTING, Elsevier, vol. 26(C), pages 37-46.
    106. Erin Leahey & Sondra N. Barringer & Misty Ring-Ramirez, 2019. "Universities’ structural commitment to interdisciplinary research," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 891-919, March.
    107. Gobinda Chowdhury & Kushwanth Koya & Pete Philipson, 2016. "Measuring the Impact of Research: Lessons from the UK’s Research Excellence Framework 2014," PLOS ONE, Public Library of Science, vol. 11(6), pages 1-15, June.
    108. Anita Milman & John M. Marston & Sarah E. Godsey & Jessica Bolson & Holly P. Jones & C. Susan Weiler, 2017. "Scholarly motivations to conduct interdisciplinary climate change research," Journal of Environmental Studies and Sciences, Springer;Association of Environmental Studies and Sciences, vol. 7(2), pages 239-250, June.
    109. Michael C. Calver & Maggie Lilith & Christopher R. Dickman, 2013. "A ‘perverse incentive’ from bibliometrics: could National Research Assessment Exercises (NRAEs) restrict literature availability for nature conservation?," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(1), pages 243-255, April.
    110. Marco Seeber & Jef Vlegels & Mattia Cattaneo, 2022. "Conditions that do or do not disadvantage interdisciplinary research proposals in project evaluation," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(8), pages 1106-1126, August.
    111. Ratinho, Tiago & Harms, Rainer & Walsh, Steven, 2015. "Structuring the Technology Entrepreneurship publication landscape: Making sense out of chaos," Technological Forecasting and Social Change, Elsevier, vol. 100(C), pages 168-175.
    112. Ian Coelho de Souza Almeida & Rafael Galvão de Almeida & Lucas Resende de Carvalho, 2017. "Academic rankings and pluralism : the case of Brazil and the new version of Qualis," Textos para Discussão Cedeplar-UFMG 569, Cedeplar, Universidade Federal de Minas Gerais.
    113. Adrián Kovács & Bart Looy & Bruno Cassiman, 2015. "Exploring the scope of open innovation: a bibliometric review of a decade of research," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(3), pages 951-983, September.
    114. Xu, Ran & Baghaei Lakeh, Arash & Ghaffarzadegan, Navid, 2021. "Examining the characteristics of impactful research topics: A case of three decades of HIV-AIDS research," Journal of Informetrics, Elsevier, vol. 15(1).
    115. Rakas, Marija & Hain, Daniel S., 2019. "The state of innovation system research: What happens beneath the surface?," Research Policy, Elsevier, vol. 48(9), pages 1-1.
    116. Wullum Nielsen, Mathias & Börjeson, Love, 2019. "Gender diversity in the management field: Does it matter for research outcomes?," Research Policy, Elsevier, vol. 48(7), pages 1617-1632.
    117. Syed Tariq Anwar, 2023. "The sharing economy and collaborative consumption: Strategic issues and global entrepreneurial opportunities," Journal of International Entrepreneurship, Springer, vol. 21(1), pages 60-88, March.
    118. Hannes W. Lampe & Jan Reerink, 2021. "Know your audience: how language complexity affects impact in entrepreneurship science," Journal of Business Economics, Springer, vol. 91(7), pages 1025-1061, September.
    119. Sampagnaro, Gabriele, 2024. "The disciplinarity of finance journals," International Review of Economics & Finance, Elsevier, vol. 93(PB), pages 374-388.
    120. Brooks, Chris & Schopohl, Lisa & Walker, James T., 2023. "Comparing perceptions of the impact of journal rankings between fields," CRITICAL PERSPECTIVES ON ACCOUNTING, Elsevier, vol. 90(C).
    121. Jenny-Ann Toribio & Richard Markham & Lucy Carter & Archie Law & Robyn Alders & Michael Dibley & Merrilyn Walton & Lucas Shuttleworth & David Guest, 2018. "Research for development to improve health outcomes from agriculture for rural communities: what is needed?," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 10(3), pages 661-675, June.
    122. Emanuel Kulczycki & Ying Huang & Alesia A. Zuccala & Tim C. E. Engels & Antonio Ferrara & Raf Guns & Janne Pölönen & Gunnar Sivertsen & Zehra Taşkın & Lin Zhang, 2022. "Uses of the Journal Impact Factor in national journal rankings in China and Europe," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(12), pages 1741-1754, December.
    123. Andrea Bonaccorsi & Nicola Melluso & Francesco Alessandro Massucci, 2022. "Exploring the antecedents of interdisciplinarity at the European Research Council: a topic modeling approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 6961-6991, December.
    124. Brooks, Chris & Schopohl, Lisa, 2018. "Topics and trends in finance research: What is published, who publishes it and what gets cited?," The British Accounting Review, Elsevier, vol. 50(6), pages 615-637.
    125. Holly Berman & Rachael Shwom & Cara Cuite, 2019. "Becoming FEW Conscious: A Conceptual Typology of Household Behavior Change Interventions Targeting the Food-Energy-Water (FEW) Nexus," Sustainability, MDPI, vol. 11(18), pages 1-24, September.
    126. Laurens K. Hessels & Stefan P.L. De Jong & Stijn Brouwer, 2018. "Collaboration between Heterogeneous Practitioners in Sustainability Research: A Comparative Analysis of Three Transdisciplinary Programmes," Sustainability, MDPI, vol. 10(12), pages 1-16, December.
    127. Lina Xu & Steven Dellaportas & Jin Wang, 2022. "A study of interdisciplinary accounting research: analysing the diversity of cited references," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 62(2), pages 2131-2162, June.
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  9. Ismael Rafols & Alan Porter & Loet Leydesdorff, 2009. "Overlay Maps of Science: a New Tool for Research Policy," SPRU Working Paper Series 179, SPRU - Science Policy Research Unit, University of Sussex Business School.

    Cited by:

    1. Diego Chavarro & Puay Tang & Ismael Rafols, 2014. "Interdisciplinarity and research on local issues: evidence from a developing country," Research Evaluation, Oxford University Press, vol. 23(3), pages 195-209.
    2. Rafols, Ismael & Leydesdorff, Loet & O’Hare, Alice & Nightingale, Paul & Stirling, Andy, 2012. "How journal rankings can suppress interdisciplinary research: A comparison between Innovation Studies and Business & Management," Research Policy, Elsevier, vol. 41(7), pages 1262-1282.
    3. Xiaozan Lyu & Ping Zhou & Loet Leydesdorff, 2020. "Eco-system mapping of techno-science linkages at the level of scholarly journals and fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2037-2055, September.
    4. Gibson, Elizabeth & Daim, Tugrul U. & Dabic, Marina, 2019. "Evaluating university industry collaborative research centers," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 181-202.
    5. Nieminen, Paavo & Pölönen, Ilkka & Sipola, Tuomo, 2013. "Research literature clustering using diffusion maps," Journal of Informetrics, Elsevier, vol. 7(4), pages 874-886.
    6. Daniele Rotolo & Ismael Rafols & Michael Hopkins & Loet Leydesdorff, 2014. "Scientometric Mapping as a Strategic Intelligence Tool for the Governance of Emerging Technologies," SPRU Working Paper Series 2014-10, SPRU - Science Policy Research Unit, University of Sussex Business School.
    7. Mary Walshok & Josh Shapiro & Nathan Owens, 2014. "Transnational innovation networks aren’t all created equal: towards a classification system," The Journal of Technology Transfer, Springer, vol. 39(3), pages 345-357, June.
    8. Sándor Soós & George Kampis, 2011. "Towards a typology of research performance diversity: the case of top Hungarian players," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(2), pages 357-371, May.
    9. Guangyuan Hu & Stephen Carley & Li Tang, 2012. "Visualizing nanotechnology research in Canada: evidence from publication activities, 1990–2009," The Journal of Technology Transfer, Springer, vol. 37(4), pages 550-562, August.
    10. Bruce Edmonds & Nigel Gilbert & Petra Ahrweiler & Andrea Scharnhorst, 2011. "Simulating the Social Processes of Science," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 14(4), pages 1-14.
    11. Fu, Zhongmeng & Cao, Yuan & Zhao, Yong, 2024. "Identifying knowledge evolution in computer science from the perspective of academic genealogy," Journal of Informetrics, Elsevier, vol. 18(2).
    12. Gómez-Núñez, Antonio J. & Batagelj, Vladimir & Vargas-Quesada, Benjamín & Moya-Anegón, Félix & Chinchilla-Rodríguez, Zaida, 2014. "Optimizing SCImago Journal & Country Rank classification by community detection," Journal of Informetrics, Elsevier, vol. 8(2), pages 369-383.

  10. Wilfred Dolfsma, 2008. "Innovation Systems as Patent Networks," Working Papers id:1651, eSocialSciences.

    Cited by:

    1. Jeff Alstott & Giorgio Triulzi & Bowen Yan & Jianxi Luo, 2017. "Mapping technology space by normalizing patent networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(1), pages 443-479, January.
    2. Loet Leydesdorff & Duncan Kushnir & Ismael Rafols, 2014. "Interactive overlay maps for US patent (USPTO) data based on International Patent Classification (IPC)," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1583-1599, March.
    3. Loet Leydesdorff & Martin Meyer, 2010. "The decline of university patenting and the end of the Bayh–Dole effect," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(2), pages 355-362, May.

  11. Leydesdorff, Loet & Fritsch, Michael, 2005. "Measuring the Knowledge Base of Regional Innovation Systems in Germany in terms of a Triple Helix Dynamics," Freiberg Working Papers 2005/10, TU Bergakademie Freiberg, Faculty of Economics and Business Administration.

    Cited by:

    1. Michael Fritsch & Viktor Slavtchev, 2007. "What determines the efficiency of regional innovation systems?," Jena Economics Research Papers 2007-006, Friedrich-Schiller-University Jena.
    2. Martin Kalthaus, 2020. "Knowledge recombination along the technology life cycle," Journal of Evolutionary Economics, Springer, vol. 30(3), pages 643-704, July.
    3. Hervás-Oliver, José-Luis & Parrilli, Mario Davide & Rodríguez-Pose, Andrés & Sempere-Ripoll, Francisca, 2021. "The drivers of SME innovation in the regions of the EU," Research Policy, Elsevier, vol. 50(9).
    4. Md. Dulal Hossain & Junghoon Moon & Hyoung Goo Kang & Sung Chul Lee & Young Chan Choe, 2012. "Mapping the dynamics of knowledge base of innovations of R&D in Bangladesh: triple helix perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 57-83, January.
    5. Strand, Øivind & Leydesdorff, Loet, 2013. "Where is synergy indicated in the Norwegian innovation system? Triple-Helix relations among technology, organization, and geography," Technological Forecasting and Social Change, Elsevier, vol. 80(3), pages 471-484.
    6. Rune Fitjar & Andrés Rodríguez-Pose, 2013. "The geographical dimension of innovation collaboration: Collaboration and innovation in Norway," ERSA conference papers ersa13p878, European Regional Science Association.
    7. Leydesdorff, Loet & Wagner, Caroline, 2009. "Macro-level indicators of the relations between research funding and research output," Journal of Informetrics, Elsevier, vol. 3(4), pages 353-362.
    8. Martina Kauffeld-Monz, 2005. "Knowledge spillovers within regional networks of innovation and the contribution made by public research," ERSA conference papers ersa05p440, European Regional Science Association.
    9. Park, Han Woo & Leydesdorff, Loet, 2010. "Longitudinal trends in networks of university-industry-government relations in South Korea: The role of programmatic incentives," Research Policy, Elsevier, vol. 39(5), pages 640-649, June.
    10. Li, Yin & Arora, Sanjay & Youtie, Jan & Shapira, Philip, 2018. "Using web mining to explore Triple Helix influences on growth in small and mid-size firms," Technovation, Elsevier, vol. 76, pages 3-14.
    11. Ivanova, Inga & Strand, Øivind & Kushnir, Duncan & Leydesdorff, Loet, 2017. "Economic and technological complexity: A model study of indicators of knowledge-based innovation systems," Technological Forecasting and Social Change, Elsevier, vol. 120(C), pages 77-89.
    12. Reza Naghizadeh & Shaban Elahi & Manoochehr Manteghi & Sepehr Ghazinoory & Marina Ranga, 2015. "Through the magnifying glass: an analysis of regional innovation models based on co-word and meta-synthesis methods," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(6), pages 2481-2505, November.
    13. Michael Fritsch & Viktor Slavtchev, 2008. "How Does Industry Specialization Affect the Efficiency of Regional Innovation Systems?," Jena Economics Research Papers 2008-058, Friedrich-Schiller-University Jena.
    14. Hernández-Trasobares, Alejandro & Murillo-Luna, Josefina L., 2020. "The effect of triple helix cooperation on business innovation: The case of Spain," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    15. Thai Thi Minh & Carsten Nico Hjotrsø, 2015. "Relational dynamics in the multi-helices knowledge production system: A new institutionalism perspective," Globelics Working Paper Series 2015-08, Globelics - Global Network for Economics of Learning, Innovation, and Competence Building Systems, Aalborg University, Department of Business and Management.
    16. Loet Leydesdorff, 2012. "The Triple Helix, Quadruple Helix, …, and an N-Tuple of Helices: Explanatory Models for Analyzing the Knowledge-Based Economy?," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 3(1), pages 25-35, March.
    17. Valentina Gambardella, 2014. "Incentivi alla ricerca e collaborazione tra attori dell?innovazione. Uno studio basato sulla sesta indagine Community Innovation Survey (2006-2008)," STUDI ECONOMICI, FrancoAngeli Editore, vol. 2014(113), pages 88-115.
    18. Dirk Czarnitzki & Georg Licht, 2006. "Additionality of public R&D grants in a transition economy," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 14(1), pages 101-131, March.
    19. Rafael Boix, 2012. "Facing globalization and increased trade: Catalonia's evolution from industrial region to knowledge and creative economy," Regional Science Policy & Practice, Wiley Blackwell, vol. 4(1), pages 97-112, March.
    20. Loet Leydesdorff & Han Woo Park & Balazs Lengyel, 2014. "A routine for measuring synergy in university–industry–government relations: mutual information as a Triple-Helix and Quadruple-Helix indicator," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 27-35, April.
    21. Subhan Tahrima & Don Jaegal, 2013. "Applicability of Knowledge-Based Innovation System in Bangladesh," International Review of Public Administration, Taylor & Francis Journals, vol. 18(3), pages 185-208, December.
    22. Philip Cooke & Dafna Schwartz, 2008. "Regional Knowledge Economies: An Eu‐Uk And Israel Perspective," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 99(2), pages 178-192, April.
    23. Martin Meyer & Kevin Grant & Piera Morlacchi & Dagmara Weckowska, 2014. "Triple Helix indicators as an emergent area of enquiry: a bibliometric perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 151-174, April.
    24. Cheng-Chung Cho & Ming-Wen Hu & Meng-Chun Liu, 2010. "Improvements in productivity based on co-authorship: a case study of published articles in China," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(2), pages 463-470, November.
    25. Abeda Muhammad Iqbal & Adnan Shahid Khan & Saima Iqbal & Aslan Amat Senin, 2011. "Design of Success Criteria Based Evaluation Model for Assessing the Research Collaboration Between University and Industry," International Journal of Business Research and Management (IJBRM), Computer Science Journals (CSC Journals), vol. 2(2), pages 59-73, May.
    26. Rafael Boix & Blanca De-Miguel-Molina & Jose-Luis Hervas-Oliver, 2013. "Creative service business and regional performance: evidence for the European regions," Service Business, Springer;Pan-Pacific Business Association, vol. 7(3), pages 381-398, September.
    27. Igor Grebenkin, 2018. "The Influence of Diversification on Innovative Activity in Regional Manufacturing Industry," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(2), pages 600-611.
    28. Lengyel, Balázs & Leydesdorff, Loet, 2008. "A magyar gazdaság tudásalapú szerveződésének mérése. Az innovációs rendszerek szinergiáinak térbelisége [Measuring the knowledge base of the Hungarian economy: spatial characteristics of innovation," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(6), pages 522-547.
    29. Iván De la Vega & José Manuel Puente & Magaly Sanchez R, 2019. "The Collapse of Venezuela vs. The Sustainable Development of Selected South American Countries," Sustainability, MDPI, vol. 11(12), pages 1-23, June.
    30. Meiqi Jiao & Debin Du & Wentian Shi & Chunguang Hou & Qinchang Gui, 2021. "Dynamic Absorptive Capability and Innovation Performance: Evidence from Chinese Cities," Sustainability, MDPI, vol. 13(20), pages 1-20, October.
    31. Inga Ivanova & Oivind Strand & Loet Leydesdorff, 2019. "The Synergy and Cycle Values in Regional Innovation Systems: The Case of Norway," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 13(1), pages 48-61.
    32. Beynon, Malcolm & Pickernell, David & Battisti, Martina & Jones, Paul, 2024. "A panel fsQCA investigation on European regional innovation," Technological Forecasting and Social Change, Elsevier, vol. 199(C).
    33. Noriko Yoda & Kenichi Kuwashima, 2020. "Triple Helix of University–Industry–Government Relations in Japan: Transitions of Collaborations and Interactions," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 11(3), pages 1120-1144, September.
    34. Paola Rucker Schaeffer & Bruno Fischer & Sergio Queiroz, 2018. "Beyond Education: The Role of Research Universities in Innovation Ecosystems," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 12(2), pages 50-61.
    35. Valbona Gjini & Lucian Koprencka, 2018. "Relationship Between Economic Factors and Non-Performing Loans- the Case of Albania," European Journal of Economics and Business Studies Articles, Revistia Research and Publishing, vol. 4, ejes_v4_i.
    36. Izabella Szakálné Kanó & Zsófia Vas & Slávka Klasová, 2023. "Emerging Synergies in Innovation Systems: Creative Industries in Central Europe," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 14(1), pages 450-471, March.
    37. Lengyel, Balázs & Leydesdorff, Loet, 2015. "The Effects of FDI on Innovation Systems in Hungarian Regions: Where is the Synergy Generated?," MPRA Paper 73945, University Library of Munich, Germany.
    38. Kadri Arrak & Anneli Kaasa & Urmas Varblane, 2020. "Regional Cultural Context as a Determinant of Entrepreneurial Behaviour: The Case of Germany," Journal of Entrepreneurship and Innovation in Emerging Economies, Entrepreneurship Development Institute of India, vol. 29(1), pages 88-118, March.
    39. Iwona Bąk & Katarzyna Wawrzyniak & Maciej Oesterreich, 2022. "Competitiveness of the Regions of the European Union in a Sustainable Knowledge-Based Economy," Sustainability, MDPI, vol. 14(7), pages 1-22, March.
    40. Rune Dahl Fitjar & Andrés Rodríguez-Pose, 2014. "The geographical dimension of innovation collaboration: Networking and innovation in Norway," Urban Studies, Urban Studies Journal Limited, vol. 51(12), pages 2572-2595, September.
    41. Pieter Stek & Marina Geenhuizen, 2015. "Measuring the dynamics of an innovation system using patent data: a case study of South Korea, 2001–2010," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(4), pages 1325-1343, July.
    42. Loet Leydesdorff & Wilfred Dolfsma & Gerben Van der Panne, 2010. "Measuring the Knowledge Base of an Economy in Terms of Triple-Helix Relations," Chapters, in: Riccardo Viale & Henry Etzkowitz (ed.), The Capitalization of Knowledge, chapter 11, Edward Elgar Publishing.
    43. Inga Ivanova & Øivind Strand & Loet Leydesdorff, 2019. "What Is the Effect of Synergy Provided by International Collaborations on Regional Economies?," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 10(1), pages 18-34, March.
    44. Elias Carayannis & Ruslan Rakhmatullin, 2014. "The Quadruple/Quintuple Innovation Helixes and Smart Specialisation Strategies for Sustainable and Inclusive Growth in Europe and Beyond," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 5(2), pages 212-239, June.
    45. Filippopoulos, Nikolaos & Fotopoulos, Georgios, 2022. "Innovation in economically developed and lagging European regions: A configurational analysis," Research Policy, Elsevier, vol. 51(2).
    46. Inga Ivanova & Oivind Strand & Loet Leydesdorff, 2014. "Synergy cycles in the Norwegian innovation system: The relation between synergy and cycle values," Papers 1409.2760, arXiv.org.
    47. Rodríguez-Gulías, María Jesús & Fernández-López, Sara & Rodeiro-Pazos, David, 2020. "Innovation in cultural and creative industries firms with an academic origin (CCI-USOs): The role of regional context," Technovation, Elsevier, vol. 92.
    48. Thanos Fragkandreas, 2023. "Case study research on innovation systems: paradox, dialectical analysis and resolution," Working Papers 65, Birkbeck Centre for Innovation Management Research, revised 15 May 2023.
    49. Loet Leydesdorff & Ping Zhou, 2014. "Measuring the knowledge-based economy of China in terms of synergy among technological, organizational, and geographic attributes of firms," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1703-1719, March.
    50. Weimin Kang & Shuliang Zhao & Wei Song & Tao Zhuang, 2019. "Triple helix in the science and technology innovation centers of China from the perspective of mutual information: a comparative study between Beijing and Shanghai," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 921-940, March.
    51. Gutiérrez Ortega, Armando & Mungaray Lagarda, Alejandro & Osorio Novela, Germán, 2022. "Midiendo la incertidumbre en sistemas de innovación de Triple Hélice [Measuring uncertainty in Triple Helix innovation systems]," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 33(1), pages 310-325, June.
    52. Gloria Aparicio & Txomin Iturralde & Ana Vilma Rodríguez, 2023. "Developments in the knowledge-based economy research field: a bibliometric literature review," Management Review Quarterly, Springer, vol. 73(1), pages 317-352, February.
    53. Wilfred Dolfsma, 2008. "Innovation Systems as Patent Networks," Working Papers id:1651, eSocialSciences.
    54. Porfírio, José & Jacquinet, Marc & Carrilho, Tiago, 2009. "The Concept of Agricultural District and the Question of Rural Development," Spatial and Organizational Dynamics Discussion Papers 2009-3, CIEO-Research Centre for Spatial and Organizational Dynamics, University of Algarve.
    55. Moutinho, Ricardo & Au-Yong-Oliveira, Manuel & Coelho, Arnaldo & Manso, José Pires, 2015. "Beyond the “Innovation's Black-Box”: Translating R&D outlays into employment and economic growth," Socio-Economic Planning Sciences, Elsevier, vol. 50(C), pages 45-58.
    56. Shuman Zhang & Changhong Yuan & Yuying Wang, 2019. "The Impact of Industry–University–Research Alliance Portfolio Diversity on Firm Innovation: Evidence from Chinese Manufacturing Firms," Sustainability, MDPI, vol. 11(8), pages 1-16, April.
    57. Igors Skute & Kasia Zalewska-Kurek & Isabella Hatak & Petra Weerd-Nederhof, 2019. "Mapping the field: a bibliometric analysis of the literature on university–industry collaborations," The Journal of Technology Transfer, Springer, vol. 44(3), pages 916-947, June.
    58. Milica Jovanović & Gordana Savić & Yuzhuo Cai & Maja Levi-Jakšić, 2022. "Towards a Triple Helix based efficiency index of innovation systems," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(5), pages 2577-2609, May.
    59. Porto-Gomez, Igone & Zabala-Iturriagagoitia, Jon Mikel & Leydesdorff, Loet, 2019. "Innovation systems in México: A matter of missing synergies," Technological Forecasting and Social Change, Elsevier, vol. 148(C).

  12. Dolfsma, W.A. & Leydesdorff, L. & van der Panne, G., 2004. "Measuring the Knowledge Base of an Economy in terms of Triple-Helix Relations among 'Technology, Organization, and Territory'," ERIM Report Series Research in Management ERS-2004-034-ORG, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.

    Cited by:

    1. Martin Kalthaus, 2020. "Knowledge recombination along the technology life cycle," Journal of Evolutionary Economics, Springer, vol. 30(3), pages 643-704, July.
    2. Fragoso, Rui Manuel de Sousa, 2015. "Habitat Features and Strategies for the Sustainable Development in the Alentejo Region," Brazilian Journal of Rural Economy and Sociology (Revista de Economia e Sociologia Rural-RESR), Sociedade Brasileira de Economia e Sociologia Rural, vol. 53(Supplemen), pages 1-12, March.
    3. Loet Leydesdorff & Igone Porto-Gomez, 2019. "Measuring the expected synergy in Spanish regional and national systems of innovation," The Journal of Technology Transfer, Springer, vol. 44(1), pages 189-209, February.
    4. Md. Dulal Hossain & Junghoon Moon & Hyoung Goo Kang & Sung Chul Lee & Young Chan Choe, 2012. "Mapping the dynamics of knowledge base of innovations of R&D in Bangladesh: triple helix perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 57-83, January.
    5. Tan Yigitcanlar & Ingi Runar Edvardsson & Hjalti Johannesson & Md Kamruzzaman & Giuseppe Ioppolo & Surabhi Pancholi, 2017. "Knowledge-based development dynamics in less favoured regions: insights from Australian and Icelandic university towns," European Planning Studies, Taylor & Francis Journals, vol. 25(12), pages 2272-2292, December.
    6. Basso, Fernanda Gisele & Pereira, Cristiano Gonçalves & Porto, Geciane Silveira, 2021. "Cooperation and technological areas in the state universities of São Paulo: An analysis from the perspective of the triple helix model," Technology in Society, Elsevier, vol. 65(C).
    7. Strand, Øivind & Leydesdorff, Loet, 2013. "Where is synergy indicated in the Norwegian innovation system? Triple-Helix relations among technology, organization, and geography," Technological Forecasting and Social Change, Elsevier, vol. 80(3), pages 471-484.
    8. Rune Fitjar & Andrés Rodríguez-Pose, 2013. "The geographical dimension of innovation collaboration: Collaboration and innovation in Norway," ERSA conference papers ersa13p878, European Regional Science Association.
    9. Leydesdorff, Loet & Fritsch, Michael, 2006. "Measuring the knowledge base of regional innovation systems in Germany in terms of a Triple Helix dynamics," Research Policy, Elsevier, vol. 35(10), pages 1538-1553, December.
    10. Dolfsma, W.A. & van der Panne, G., 2006. "Currents and Sub-currents in the River of Innovations - Explaining Innovativeness using New-Product Announcements," ERIM Report Series Research in Management ERS-2006-036-ORG, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    11. Rocco Frondizi & Chiara Fantauzzi & Nathalie Colasanti & Gloria Fiorani, 2019. "The Evaluation of Universities’ Third Mission and Intellectual Capital: Theoretical Analysis and Application to Italy," Sustainability, MDPI, vol. 11(12), pages 1-23, June.
    12. Lafuente, Esteban & Vaillant, Yancy & Vendrell-Herrero, Ferran, 2017. "Territorial servitization: Exploring the virtuous circle connecting knowledge-intensive services and new manufacturing businesses," International Journal of Production Economics, Elsevier, vol. 192(C), pages 19-28.
    13. Park, Han Woo & Leydesdorff, Loet, 2010. "Longitudinal trends in networks of university-industry-government relations in South Korea: The role of programmatic incentives," Research Policy, Elsevier, vol. 39(5), pages 640-649, June.
    14. Paul Jackson & Reza Kiani Mavi & Yuliani Suseno & Craig Standing, 2018. "University–industry collaboration within the triple helix of innovation: The importance of mutuality," Science and Public Policy, Oxford University Press, vol. 45(4), pages 553-564.
    15. Welch, P. & Dolfsma, W.A., 2004. "How To Be Better Prepared For A Paradigm Shift In Economic Theory, And Write Better Articles In The Meantime," ERIM Report Series Research in Management ERS-2004-101-ORG, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    16. Kim, Younghwan & Kim, Wonjoon & Yang, Taeyong, 2012. "The effect of the triple helix system and habitat on regional entrepreneurship: Empirical evidence from the U.S," Research Policy, Elsevier, vol. 41(1), pages 154-166.
    17. Lee, Young Hoon & Kim, YoungJun, 2016. "Analyzing interaction in R&D networks using the Triple Helix method: Evidence from industrial R&D programs in Korean government," Technological Forecasting and Social Change, Elsevier, vol. 110(C), pages 93-105.
    18. Loet Leydesdorff & Martin Meyer, 2007. "The scientometrics of a Triple Helix of university-industry-government relations (Introduction to the topical issue)," Scientometrics, Springer;Akadémiai Kiadó, vol. 70(2), pages 207-222, February.
    19. Blanca L. Delgado-Márquez & Marcos García-Velasco, 2018. "Geographical Distribution of the European Knowledge Base Through the Lens of a Synthetic Index," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 136(2), pages 477-496, April.
    20. Wilfred Dolfsma & Gerben Velde, 2014. "Industry innovativeness, firm size, and entrepreneurship: Schumpeter Mark III?," Journal of Evolutionary Economics, Springer, vol. 24(4), pages 713-736, September.
    21. Wilfred Dolfsma & Patrick J. Welch, 2009. "Paradigms and Novelty in Economics: The History of Economic Thought as a Source of Enlightenment," American Journal of Economics and Sociology, Wiley Blackwell, vol. 68(5), pages 1085-1106, November.
    22. Rafael Boix, 2012. "Facing globalization and increased trade: Catalonia's evolution from industrial region to knowledge and creative economy," Regional Science Policy & Practice, Wiley Blackwell, vol. 4(1), pages 97-112, March.
    23. Loet Leydesdorff & Han Woo Park & Balazs Lengyel, 2014. "A routine for measuring synergy in university–industry–government relations: mutual information as a Triple-Helix and Quadruple-Helix indicator," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 27-35, April.
    24. Dolfsma, Wilfred & van der Panne, Gerben, 2008. "Currents and sub-currents in innovation flows: Explaining innovativeness using new-product announcements," Research Policy, Elsevier, vol. 37(10), pages 1706-1716, December.
    25. Martin Meyer & Kevin Grant & Piera Morlacchi & Dagmara Weckowska, 2014. "Triple Helix indicators as an emergent area of enquiry: a bibliometric perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 151-174, April.
    26. Carlsson , Bo, 2016. "Industrial Dynamics: A Review of the Literature 1990-2009," Papers in Innovation Studies 2016/3, Lund University, CIRCLE - Centre for Innovation Research.
    27. Farshad Momeni & Ali Arab Mazar Yazdi & Seyed Mohammad Sajjad Najafi, 2019. "Changing economic systems and institutional dimensions of the Triple Helix model," Journal of Innovation and Entrepreneurship, Springer, vol. 8(1), pages 1-12, December.
    28. Rafael Boix & Blanca De-Miguel-Molina & Jose-Luis Hervas-Oliver, 2013. "Creative service business and regional performance: evidence for the European regions," Service Business, Springer;Pan-Pacific Business Association, vol. 7(3), pages 381-398, September.
    29. Lengyel, Balázs & Leydesdorff, Loet, 2008. "A magyar gazdaság tudásalapú szerveződésének mérése. Az innovációs rendszerek szinergiáinak térbelisége [Measuring the knowledge base of the Hungarian economy: spatial characteristics of innovation," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(6), pages 522-547.
    30. Iván De la Vega & José Manuel Puente & Magaly Sanchez R, 2019. "The Collapse of Venezuela vs. The Sustainable Development of Selected South American Countries," Sustainability, MDPI, vol. 11(12), pages 1-23, June.
    31. Inga Ivanova & Oivind Strand & Duncan Kushnir & Loet Leydesdorff, 2015. "The Efficiency of Triple-Helix Relations in Innovation Systems: Measuring the Connection between a Country’S Net Income and its Knowledge Base," HSE Working papers WP BRP 55/STI/2015, National Research University Higher School of Economics.
    32. Inga Ivanova & Oivind Strand & Loet Leydesdorff, 2019. "The Synergy and Cycle Values in Regional Innovation Systems: The Case of Norway," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 13(1), pages 48-61.
    33. Noriko Yoda & Kenichi Kuwashima, 2020. "Triple Helix of University–Industry–Government Relations in Japan: Transitions of Collaborations and Interactions," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 11(3), pages 1120-1144, September.
    34. Jiaofeng Pan & Jianxin Guo, 2022. "Innovative Collaboration and Acceleration: an Integrated Framework Based on Knowledge Transfer and Triple Helix," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(4), pages 3223-3247, December.
    35. Izabella Szakálné Kanó & Zsófia Vas & Slávka Klasová, 2023. "Emerging Synergies in Innovation Systems: Creative Industries in Central Europe," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 14(1), pages 450-471, March.
    36. Lengyel, Balázs & Leydesdorff, Loet, 2015. "The Effects of FDI on Innovation Systems in Hungarian Regions: Where is the Synergy Generated?," MPRA Paper 73945, University Library of Munich, Germany.
    37. Fellnhofer, Katharina, 2023. "Positivity and higher alertness levels facilitate discovery: Longitudinal sentiment analysis of emotions on Twitter," Technovation, Elsevier, vol. 122(C).
    38. Loet Leydesdorff & Lutz Bornmann, 2012. "Mapping (USPTO) patent data using overlays to Google Maps," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(7), pages 1442-1458, July.
    39. Rune Dahl Fitjar & Andrés Rodríguez-Pose, 2014. "The geographical dimension of innovation collaboration: Networking and innovation in Norway," Urban Studies, Urban Studies Journal Limited, vol. 51(12), pages 2572-2595, September.
    40. Inga Ivanova & Øivind Strand & Loet Leydesdorff, 2019. "An Eco-Systems Approach To Constructing Economic Complexity Measures: Endogenization Of The Technological Dimension Using Lotka–Volterra Equations," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 22(01), pages 1-21, February.
    41. Pieter Stek & Marina Geenhuizen, 2015. "Measuring the dynamics of an innovation system using patent data: a case study of South Korea, 2001–2010," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(4), pages 1325-1343, July.
    42. Loet Leydesdorff & Wilfred Dolfsma & Gerben Van der Panne, 2010. "Measuring the Knowledge Base of an Economy in Terms of Triple-Helix Relations," Chapters, in: Riccardo Viale & Henry Etzkowitz (ed.), The Capitalization of Knowledge, chapter 11, Edward Elgar Publishing.
    43. Beata Fehervolgyi & Zoltan Kovacs & Csilla Toth & Andras Hary, 2022. "Influence Of Founders On Innovation Ecosystems Types," Economy & Business Journal, International Scientific Publications, Bulgaria, vol. 16(1), pages 388-398.
    44. Inga Ivanova & Øivind Strand & Loet Leydesdorff, 2019. "What Is the Effect of Synergy Provided by International Collaborations on Regional Economies?," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 10(1), pages 18-34, March.
    45. Takao Furukawa & Nobuyuki Shirakawa & Kumi Okuwada, 2011. "Quantitative analysis of collaborative and mobility networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(3), pages 451-466, June.
    46. Elias Carayannis & Ruslan Rakhmatullin, 2014. "The Quadruple/Quintuple Innovation Helixes and Smart Specialisation Strategies for Sustainable and Inclusive Growth in Europe and Beyond," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 5(2), pages 212-239, June.
    47. Inga Ivanova & Oivind Strand & Loet Leydesdorff, 2014. "Synergy cycles in the Norwegian innovation system: The relation between synergy and cycle values," Papers 1409.2760, arXiv.org.
    48. W.A. Dolfsma & G. van der Panne, 2007. "Innovations from SMEs or Large Firms? Sector Structure and Dynamics," Working Papers 07-30, Utrecht School of Economics.
    49. Loet Leydesdorff & Ping Zhou, 2014. "Measuring the knowledge-based economy of China in terms of synergy among technological, organizational, and geographic attributes of firms," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1703-1719, March.
    50. Weimin Kang & Shuliang Zhao & Wei Song & Tao Zhuang, 2019. "Triple helix in the science and technology innovation centers of China from the perspective of mutual information: a comparative study between Beijing and Shanghai," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 921-940, March.
    51. Øivind Strand & Inga Ivanova & Loet Leydesdorff, 2017. "Decomposing the Triple-Helix synergy into the regional innovation systems of Norway: firm data and patent networks," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(3), pages 963-988, May.
    52. Mădălina Cristina Tocan, 2008. "Knowledge Based Economy In Romania," Annales Universitatis Apulensis Series Oeconomica, Faculty of Sciences, "1 Decembrie 1918" University, Alba Iulia, vol. 2(10), pages 1-28.
    53. Magdalena Abt & Dodo zu Knyphausen-Aufseß, 2017. "Chief human resources officers on top management teams: an empirical analysis of contingency, institutional, and homophily antecedents," Business Research, Springer;German Academic Association for Business Research, vol. 10(1), pages 49-77, June.
    54. Wilfred Dolfsma, 2008. "Innovation Systems as Patent Networks," Working Papers id:1651, eSocialSciences.
    55. Alina HAGIU & Marinela TANASCOVICI, 2013. "Competitive Intelligence In The Knowledge-Based Organisation," Network Intelligence Studies, Romanian Foundation for Business Intelligence, Editorial Department, issue 1, pages 44-53, July.
    56. Milica Jovanović & Gordana Savić & Yuzhuo Cai & Maja Levi-Jakšić, 2022. "Towards a Triple Helix based efficiency index of innovation systems," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(5), pages 2577-2609, May.
    57. Liming Liang & Lixin Chen & Yishan Wu & Junpeng Yuan, 2012. "The role of Chinese universities in enterprise–university research collaboration," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 253-269, January.
    58. Porto-Gomez, Igone & Zabala-Iturriagagoitia, Jon Mikel & Leydesdorff, Loet, 2019. "Innovation systems in México: A matter of missing synergies," Technological Forecasting and Social Change, Elsevier, vol. 148(C).

Articles

  1. Henriette Ruhrmann & Michael Fritsch & Loet Leydesdorff, 2022. "Synergy and policy-making in German innovation systems: Smart Specialisation Strategies at national, regional, local levels?," Regional Studies, Taylor & Francis Journals, vol. 56(9), pages 1468-1479, September.

    Cited by:

    1. Rammer, Christian & Es-Sadki, Nordine, 2023. "Using big data for generating firm-level innovation indicators - a literature review," Technological Forecasting and Social Change, Elsevier, vol. 197(C).

  2. Caroline S. Wagner & Lin Zhang & Loet Leydesdorff, 2022. "A discussion of measuring the top-1% most-highly cited publications: quality and impact of Chinese papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(4), pages 1825-1839, April.

    Cited by:

    1. Cinzia Daraio & Simone Di Leo & Loet Leydesdorff, 2023. "A heuristic approach based on Leiden rankings to identify outliers: evidence from Italian universities in the European landscape," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(1), pages 483-510, January.
    2. Péter Vinkler, 2023. "Impact of the number and rank of coauthors on h-index and π-index. The part-impact method," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(4), pages 2349-2369, April.

  3. Loet Leydesdorff & Inga Ivanova, 2021. "The measurement of “interdisciplinarity” and “synergy” in scientific and extra‐scientific collaborations," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(4), pages 387-402, April.

    Cited by:

    1. Xiaojun Hu & Xian Li & Ronald Rousseau, 2021. "Mathematical reflections on Triple Helix calculations," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(10), pages 8581-8587, October.
    2. Yi Bu & Mengyang Li & Weiye Gu & Win‐bin Huang, 2021. "Topic diversity: A discipline scheme‐free diversity measurement for journals," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(5), pages 523-539, May.

  4. Leydesdorff, Loet & Bornmann, Lutz, 2021. "Disruption indices and their calculation using web-of-science data: Indicators of historical developments or evolutionary dynamics?," Journal of Informetrics, Elsevier, vol. 15(4).

    Cited by:

    1. Tong, Tong & Wang, Wanru & Ye, Fred Y., 2024. "A complement to the novel disruption indicator based on knowledge entities," Journal of Informetrics, Elsevier, vol. 18(2).
    2. Yuyan Jiang & Xueli Liu, 2023. "A construction and empirical research of the journal disruption index based on open citation data," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(7), pages 3935-3958, July.
    3. Zhang, Ming-Ze & Wang, Tang-Rong & Lyu, Peng-Hui & Chen, Qi-Mei & Li, Ze-Xia & Ngai, Eric W.T., 2024. "Impact of gender composition of academic teams on disruptive output," Journal of Informetrics, Elsevier, vol. 18(2).
    4. Yiling Lin & Carl Benedikt Frey & Lingfei Wu, 2022. "Remote Collaboration Fuses Fewer Breakthrough Ideas," Papers 2206.01878, arXiv.org, revised Oct 2023.

  5. Iina Hellsten & Loet Leydesdorff, 2020. "Automated analysis of actor–topic networks on twitter: New approaches to the analysis of socio‐semantic networks," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 71(1), pages 3-15, January.

    Cited by:

    1. Chen, Hongshu & Jin, Qianqian & Wang, Ximeng & Xiong, Fei, 2022. "Profiling academic-industrial collaborations in bibliometric-enhanced topic networks: A case study on digitalization research," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    2. Zhichao Fang & Rodrigo Costas & Paul Wouters, 2022. "User engagement with scholarly tweets of scientific papers: a large-scale and cross-disciplinary analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(8), pages 4523-4546, August.
    3. Devendra Potnis & Iman Tahamtan, 2021. "Hashtags for gatekeeping of information on social media," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(10), pages 1234-1246, October.
    4. Zhichao Fang & Rodrigo Costas & Wencan Tian & Xianwen Wang & Paul Wouters, 2021. "How is science clicked on Twitter? Click metrics for Bitly short links to scientific publications," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(7), pages 918-932, July.
    5. Rodrigo Costas & Sarah de Rijcke & Noortje Marres, 2021. "“Heterogeneous couplings”: Operationalizing network perspectives to study science‐society interactions through social media metrics," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(5), pages 595-610, May.
    6. Yi Bu & Mengyang Li & Weiye Gu & Win‐bin Huang, 2021. "Topic diversity: A discipline scheme‐free diversity measurement for journals," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(5), pages 523-539, May.

  6. Inga Ivanova & Nataliya Smorodinskaya & Loet Leydesdorff, 2020. "On measuring complexity in a post-industrial economy: the ecosystem’s approach," Quality & Quantity: International Journal of Methodology, Springer, vol. 54(1), pages 197-212, February.

    Cited by:

    1. Sudeshna Ghosh & Buhari Doğan & Muhlis Can & Muhammad Ibrahim Shah & Nicholas Apergis, 2023. "Does economic structure matter for income inequality?," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(3), pages 2507-2527, June.
    2. Marina V. Evseeva, 2020. "Technological differentiation in the development of the Ural macroregion’s subjects," Journal of New Economy, Ural State University of Economics, vol. 21(3), pages 132-157, October.
    3. Li, Zhiyuan & Doğan, Buhari & Ghosh, Sudeshna & Chen, Wei-Ming & Lorente, Daniel Balsalobre, 2024. "Economic complexity, natural resources and economic progress in the era of sustainable development: Findings in the context of resource deployment challenges," Resources Policy, Elsevier, vol. 88(C).
    4. Mager, Elena & Iurato, Chiara & Schanz, Heiner, 2023. "Depicting wood-based sectors to inform policymaking: A structural modeling approach centering on networks of markets," Forest Policy and Economics, Elsevier, vol. 157(C).
    5. Travis J. Lybbert & Mingzhi Xu, 2022. "Innovation‐adjusted economic complexity and growth: Do patent flows reveal enhanced economic capabilities?," Review of Development Economics, Wiley Blackwell, vol. 26(1), pages 442-483, February.

  7. Xiaozan Lyu & Ping Zhou & Loet Leydesdorff, 2020. "Eco-system mapping of techno-science linkages at the level of scholarly journals and fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2037-2055, September.

    Cited by:

    1. Balland, Pierre-Alexandre & Broekel, Tom & Diodato, Dario & Giuliani, Elisa & Hausmann, Ricardo & O'Clery, Neave & Rigby, David, 2022. "Reprint of The new paradigm of economic complexity," Research Policy, Elsevier, vol. 51(8).
    2. Balland, Pierre-Alexandre & Broekel, Tom & Diodato, Dario & Giuliani, Elisa & Hausmann, Ricardo & O'Clery, Neave & Rigby, David, 2022. "The new paradigm of economic complexity," Research Policy, Elsevier, vol. 51(3).

  8. Lutz Bornmann & Loet Leydesdorff, 2020. "Historical roots of Judit Bar-Ilan’s research: a cited-references analysis using CRExplorer," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(3), pages 1193-1200, June.

    Cited by:

    1. Xin Li & Qiang Yao & Xuli Tang & Qian Li & Mengjia Wu, 2020. "How to investigate the historical roots and evolution of research fields in China? A case study on iMetrics using RootCite," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1253-1274, November.

  9. Inga Ivanova & Øivind Strand & Loet Leydesdorff, 2019. "What Is the Effect of Synergy Provided by International Collaborations on Regional Economies?," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 10(1), pages 18-34, March.

    Cited by:

    1. Sandra Rousseau & Ronald Rousseau, 2021. "Bibliometric Techniques And Their Use In Business And Economics Research," Journal of Economic Surveys, Wiley Blackwell, vol. 35(5), pages 1428-1451, December.
    2. Sanaa Zebakh & Ali Rhouma & Fabrice Dentressangle & Maurice Héral & Sadiki Mohammed & Florence Jacquet, 2024. "To What Extent the ARIMNet Transnational Programme Has Contributed to the Implementation of the Euro-Mediterranean Research and Innovation Area?," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(2), pages 7044-7068, June.
    3. Marek Csabay & Zuzana Vincúrová & Milan Stoch & Beáta Stehlíková, 2021. "Enterprise ownership patterns in the least developed districts of Slovakia," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 16(4), pages 807-838, December.

  10. Loet Leydesdorff & Igone Porto-Gomez, 2019. "Measuring the expected synergy in Spanish regional and national systems of innovation," The Journal of Technology Transfer, Springer, vol. 44(1), pages 189-209, February.

    Cited by:

    1. Maruccia, Ylenia & Solazzo, Gianluca & Del Vecchio, Pasquale & Passiante, Giuseppina, 2020. "Evidence from Network Analysis application to Innovation Systems and Quintuple Helix," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    2. Mohammad Esmailzadeh & Siamak Noori & Alireza Aliahmadi & Hamidreza Nouralizadeh & Marcel Bogers, 2020. "A Functional Analysis of Technological Innovation Systems in Developing Countries: An Evaluation of Iran’s Photovoltaic Innovation System," Sustainability, MDPI, vol. 12(5), pages 1-20, March.
    3. Hernández-Trasobares, Alejandro & Murillo-Luna, Josefina L., 2020. "The effect of triple helix cooperation on business innovation: The case of Spain," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    4. Petra Maresova & Ruzena Stemberkova & Oluwaseun Fadeyi, 2019. "Models, Processes, and Roles of Universities in Technology Transfer Management: A Systematic Review," Administrative Sciences, MDPI, vol. 9(3), pages 1-36, September.
    5. Arranz, Nieves & Arroyabe, Marta F. & Schumann, Martin, 2020. "The role of NPOs and international actors in the national innovation system: A network-based approach," Technological Forecasting and Social Change, Elsevier, vol. 159(C).
    6. Porto-Gomez, Igone & Zabala-Iturriagagoitia, Jon Mikel & Leydesdorff, Loet, 2019. "Innovation systems in México: A matter of missing synergies," Technological Forecasting and Social Change, Elsevier, vol. 148(C).

  11. Loet Leydesdorff & Lutz Bornmann & Jonathan Adams, 2019. "The integrated impact indicator revisited (I3*): a non-parametric alternative to the journal impact factor," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(3), pages 1669-1694, June.

    Cited by:

    1. Caroline S. Wagner & Lin Zhang & Loet Leydesdorff, 2022. "A discussion of measuring the top-1% most-highly cited publications: quality and impact of Chinese papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(4), pages 1825-1839, April.
    2. Gabriel-Alexandru Vȋiu & Mihai Păunescu, 2021. "The lack of meaningful boundary differences between journal impact factor quartiles undermines their independent use in research evaluation," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 1495-1525, February.
    3. Yves Fassin, 2020. "The HF-rating as a universal complement to the h-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 965-990, November.
    4. Gabriel-Alexandru Vîiu & Mihai Păunescu, 2021. "The citation impact of articles from which authors gained monetary rewards based on journal metrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(6), pages 4941-4974, June.
    5. Lutz Bornmann & Richard Williams, 2020. "An evaluation of percentile measures of citation impact, and a proposal for making them better," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1457-1478, August.
    6. Pech, Gerson & Delgado, Catarina, 2021. "Screening the most highly cited papers in longitudinal bibliometric studies and systematic literature reviews of a research field or journal: Widespread used metrics vs a percentile citation-based app," Journal of Informetrics, Elsevier, vol. 15(3).

  12. Lutz Bornmann & Alexander Tekles & Loet Leydesdorff, 2019. "How well does I3 perform for impact measurement compared to other bibliometric indicators? The convergent validity of several (field-normalized) indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 1187-1205, May.

    Cited by:

    1. Bornmann, Lutz & Tekles, Alexander & Zhang, Helena H. & Ye, Fred Y., 2019. "Do we measure novelty when we analyze unusual combinations of cited references? A validation study of bibliometric novelty indicators based on F1000Prime data," Journal of Informetrics, Elsevier, vol. 13(4).
    2. Pech, Gerson & Delgado, Catarina, 2021. "Screening the most highly cited papers in longitudinal bibliometric studies and systematic literature reviews of a research field or journal: Widespread used metrics vs a percentile citation-based app," Journal of Informetrics, Elsevier, vol. 15(3).
    3. Loet Leydesdorff & Lutz Bornmann & Jonathan Adams, 2019. "The integrated impact indicator revisited (I3*): a non-parametric alternative to the journal impact factor," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(3), pages 1669-1694, June.

  13. Porto-Gomez, Igone & Zabala-Iturriagagoitia, Jon Mikel & Leydesdorff, Loet, 2019. "Innovation systems in México: A matter of missing synergies," Technological Forecasting and Social Change, Elsevier, vol. 148(C).

    Cited by:

    1. Chen, Wei & Song, Hongti, 2024. "National innovation system: Measurement of overall effectiveness and analysis of influencing factors," Technology in Society, Elsevier, vol. 77(C).

  14. Loet Leydesdorff & Lutz Bornmann & Tobias Opthof, 2019. "hα: the scientist as chimpanzee or bonobo," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 1163-1166, March.

    Cited by:

    1. Simoes, Nadia & Crespo, Nuno, 2020. "Self-Citations and scientific evaluation: Leadership, influence, and performance," Journal of Informetrics, Elsevier, vol. 14(1).
    2. Lathabai, Hiran H., 2020. "ψ-index: A new overall productivity index for actors of science and technology," Journal of Informetrics, Elsevier, vol. 14(4).
    3. J. E. Hirsch, 2019. "Response to comment “hα: the scientist as chimpanzee or bonobo”, by Leydesdorff, Bornmann and Opthof," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 1167-1172, March.

  15. Haunschild, Robin & Leydesdorff, Loet & Bornmann, Lutz & Hellsten, Iina & Marx, Werner, 2019. "Does the public discuss other topics on climate change than researchers? A comparison of explorative networks based on author keywords and hashtags," Journal of Informetrics, Elsevier, vol. 13(2), pages 695-707.

    Cited by:

    1. Zhichao Fang & Rodrigo Costas & Wencan Tian & Xianwen Wang & Paul Wouters, 2020. "An extensive analysis of the presence of altmetric data for Web of Science publications across subject fields and research topics," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2519-2549, September.
    2. Zhichao Fang & Rodrigo Costas & Paul Wouters, 2022. "User engagement with scholarly tweets of scientific papers: a large-scale and cross-disciplinary analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(8), pages 4523-4546, August.
    3. Wen Shi & Haohuan Fu & Peinan Wang & Changfeng Chen & Jie Xiong, 2020. "#Climatechange vs. #Globalwarming: Characterizing Two Competing Climate Discourses on Twitter with Semantic Network and Temporal Analyses," IJERPH, MDPI, vol. 17(3), pages 1-22, February.
    4. Xiaozan Lyu & Rodrigo Costas, 2020. "How do academic topics shift across altmetric sources? A case study of the research area of Big Data," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(2), pages 909-943, May.
    5. Lu, Wei & Liu, Zhifeng & Huang, Yong & Bu, Yi & Li, Xin & Cheng, Qikai, 2020. "How do authors select keywords? A preliminary study of author keyword selection behavior," Journal of Informetrics, Elsevier, vol. 14(4).
    6. Carl A. Latkin & Lauren Dayton & Abigail Winiker & Kennedy Countess & Zoé Mistrale Hendrickson, 2024. "‘They Talk about the Weather, but No One Does Anything about It’: A Mixed-Methods Study of Everyday Climate Change Conversations," IJERPH, MDPI, vol. 21(3), pages 1-19, February.
    7. Lutz Bornmann & Rüdiger Mutz & Robin Haunschild & Felix Moya-Anegon & Mirko Almeida Madeira Clemente & Moritz Stefaner, 2021. "Mapping the impact of papers on various status groups in excellencemapping.net: a new release of the excellence mapping tool based on citation and reader scores," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(11), pages 9305-9331, November.
    8. Zhichao Fang & Rodrigo Costas & Wencan Tian & Xianwen Wang & Paul Wouters, 2021. "How is science clicked on Twitter? Click metrics for Bitly short links to scientific publications," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(7), pages 918-932, July.
    9. Smolinsky, Lawrence & Klingenberg, Bernhard & Marx, Brian D., 2022. "Interpretation and inference for altmetric indicators arising from sparse data statistics," Journal of Informetrics, Elsevier, vol. 16(1).
    10. Daniel Torres-Salinas & Domingo Docampo & Wenceslao Arroyo-Machado & Nicolas Robinson-Garcia, 2024. "The many publics of science: using altmetrics to identify common communication channels by scientific field," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(7), pages 3705-3723, July.
    11. Taemin Kim & Jeesun Kim, 2021. "How Spatial Distance and Message Strategy in Cause-Related Marketing Ads Influence Consumers’ Ad Believability and Attitudes," Sustainability, MDPI, vol. 13(12), pages 1-15, June.
    12. Qi Wang & Bentao Zou & Jialin Jin & Yuefen Wang, 2024. "Studying the linkage patterns and incremental evolution of domain knowledge structure: a perspective of structure deconstruction," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(7), pages 4249-4274, July.
    13. Wenceslao Arroyo-Machado & Daniel Torres-Salinas & Nicolas Robinson-Garcia, 2021. "Identifying and characterizing social media communities: a socio-semantic network approach to altmetrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(11), pages 9267-9289, November.
    14. Ba, Zhichao & Liang, Zhentao, 2021. "A novel approach to measuring science-technology linkage: From the perspective of knowledge network coupling," Journal of Informetrics, Elsevier, vol. 15(3).
    15. Jennifer Kunz & Stephanie May & Holger J. Schmidt, 2020. "Sustainable luxury: current status and perspectives for future research," Business Research, Springer;German Academic Association for Business Research, vol. 13(2), pages 541-601, July.
    16. Thomas Scheidsteger & Robin Haunschild, 2020. "Telling the story of solar energy meteorology into the satellite era by applying (co-citation) reference publication year spectroscopy," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1159-1177, November.
    17. Rodrigo Costas & Sarah de Rijcke & Noortje Marres, 2021. "“Heterogeneous couplings”: Operationalizing network perspectives to study science‐society interactions through social media metrics," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(5), pages 595-610, May.
    18. Renata Metastasio & Elena Bocci & Paola Passafaro & Francesco Carnovale & Valeria Zenone, 2024. "The Social Representation of Sustainable Mobility: An Exploratory Investigation on Social Media Networks," Sustainability, MDPI, vol. 16(7), pages 1-19, March.
    19. Xie, Qing & Zhang, Xinyuan & Song, Min, 2021. "A network embedding-based scholar assessment indicator considering four facets: Research topic, author credit allocation, field-normalized journal impact, and published time," Journal of Informetrics, Elsevier, vol. 15(4).

  16. Leydesdorff, Loet & Wagner, Caroline S. & Bornmann, Lutz, 2019. "Interdisciplinarity as diversity in citation patterns among journals: Rao-Stirling diversity, relative variety, and the Gini coefficient," Journal of Informetrics, Elsevier, vol. 13(1), pages 255-269.

    Cited by:

    1. Dengsheng Wu & Xiaoli Lu & Jianping Li & Jing Li, 2020. "Does the institutional diversity of editorial boards increase journal quality? The case economics field," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1579-1597, August.
    2. Brito, Ana C.M. & Silva, Filipi N. & Amancio, Diego R., 2021. "Associations between author-level metrics in subsequent time periods," Journal of Informetrics, Elsevier, vol. 15(4).
    3. Alfonso Ávila-Robinson & Cristian Mejia & Shintaro Sengoku, 2021. "Are bibliometric measures consistent with scientists’ perceptions? The case of interdisciplinarity in research," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(9), pages 7477-7502, September.
    4. Giulio Giacomo Cantone, 2024. "How to measure interdisciplinary research? A systemic design for the model of measurement," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(8), pages 4937-4982, August.
    5. Alexandre Truc & Olivier Santerre & Yves Gingras & François Claveau, 2023. "The interdisciplinarity of economics," Post-Print hal-04719259, HAL.
    6. Zhao, Yi & Liu, Lifan & Zhang, Chengzhi, 2022. "Is coronavirus-related research becoming more interdisciplinary? A perspective of co-occurrence analysis and diversity measure of scientific articles," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    7. Lina Xu & Steven Dellaportas & Zhiqiang Yang & Jin Wang, 2023. "More on the relationship between interdisciplinary accounting research and citation impact," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(4), pages 4779-4803, December.
    8. Sander Zwanenburg & Maryam Nakhoda & Peter Whigham, 2022. "Toward greater consistency and validity in measuring interdisciplinarity: a systematic and conceptual evaluation," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7769-7788, December.
    9. Dan Luo & Feifan Wang & Yue Gu & Jiamin Lv, 2024. "How Does Digital Finance Contribute to Sustainable Wealth Growth: Perspective from Residents’ Income," Sustainability, MDPI, vol. 16(18), pages 1-24, September.
    10. Jianhua Hou & Hao Li & Yang Zhang, 2023. "Altmetrics-based sleeping beauties: necessity or just a supplement?," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(10), pages 5477-5506, October.
    11. Jorge A. V. Tohalino & Laura V. C. Quispe & Diego R. Amancio, 2021. "Analyzing the relationship between text features and grants productivity," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(5), pages 4255-4275, May.
    12. Loet Leydesdorff & Inga Ivanova, 2021. "The measurement of “interdisciplinarity” and “synergy” in scientific and extra‐scientific collaborations," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(4), pages 387-402, April.
    13. Ascione, Grazia Sveva, 2023. "Technological diversity to address complex challenges: the contribution of American universities to sdgs," MPRA Paper 119452, University Library of Munich, Germany.
    14. Xiaojing Cai & Xiaozan Lyu & Ping Zhou, 2023. "The relationship between interdisciplinarity and citation impact—a novel perspective on citation accumulation," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-12, December.
    15. Hongyu Zhou & Raf Guns & Tim C. E. Engels, 2022. "Are social sciences becoming more interdisciplinary? Evidence from publications 1960–2014," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(9), pages 1201-1221, September.
    16. Chen, Shiji & Qiu, Junping & Arsenault, Clément & Larivière, Vincent, 2021. "Exploring the interdisciplinarity patterns of highly cited papers," Journal of Informetrics, Elsevier, vol. 15(1).
    17. Jielan Ding & Zhesi Shen & Per Ahlgren & Tobias Jeppsson & David Minguillo & Johan Lyhagen, 2021. "The link between ethnic diversity and scientific impact: the mediating effect of novelty and audience diversity," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(9), pages 7759-7810, September.
    18. Qing Ke, 2023. "Interdisciplinary research and technological impact: evidence from biomedicine," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(4), pages 2035-2077, April.
    19. Joshua Eykens & Raf Guns & Raf Vanderstraeten, 2022. "Subject specialties as interdisciplinary trading grounds: the case of the social sciences and humanities," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7193-7213, December.
    20. Zhang, Yang & Wang, Yang & Du, Haifeng & Havlin, Shlomo, 2024. "Delayed citation impact of interdisciplinary research," Journal of Informetrics, Elsevier, vol. 18(1).
    21. Ping Zhou & Xiaojing Cai & Xiaozan Lyu, 2020. "An in-depth analysis of government funding and international collaboration in scientific research," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1331-1347, November.
    22. Shiji Chen & Yanhui Song & Fei Shu & Vincent Larivière, 2022. "Interdisciplinarity and impact: the effects of the citation time window," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(5), pages 2621-2642, May.
    23. Mao, Jin & Liang, Zhentao & Cao, Yujie & Li, Gang, 2020. "Quantifying cross-disciplinary knowledge flow from the perspective of content: Introducing an approach based on knowledge memes," Journal of Informetrics, Elsevier, vol. 14(4).
    24. Keungoui Kim & Dieter F. Kogler & Sira Maliphol, 2024. "Identifying interdisciplinary emergence in the science of science: combination of network analysis and BERTopic," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-15, December.
    25. Marton Demeter, 2022. "Development Studies in the World System of Global Knowledge Production: A Critical Empirical Analysis," Progress in Development Studies, , vol. 22(3), pages 239-256, July.
    26. Manuel Goyanes & Márton Demeter & Aurea Grané & Irene Albarrán-Lozano & Homero Gil de Zúñiga, 2020. "A mathematical approach to assess research diversity: operationalization and applicability in communication sciences, political science, and beyond," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2299-2322, December.
    27. Jingjing Ren & Fang Wang & Minglu Li, 2023. "Dynamics and characteristics of interdisciplinary research in scientific breakthroughs: case studies of Nobel-winning research in the past 120 years," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(8), pages 4383-4419, August.
    28. Zhang, Lin & Sun, Mengting & Peng, Yujie & Zhao, Wenjing & Chen, Lixin & Huang, Ying, 2022. "How public investment fuels innovation: Clues from government-subsidized USPTO patents," Journal of Informetrics, Elsevier, vol. 16(3).
    29. Bei Zeng & Haihua Lyu & Zhenyue Zhao & Jiang Li, 2021. "Exploring the direction and diversity of interdisciplinary knowledge diffusion: A case study of professor Zeyuan Liu's scientific publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 6253-6272, July.
    30. Loet Leydesdorff & Lutz Bornmann, 2020. "“Interdisciplinarity” and “Synergy” in the Œuvre of Judit Bar-Ilan," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(3), pages 1247-1260, June.
    31. Haeussler, Carolin & Sauermann, Henry, 2020. "Division of labor in collaborative knowledge production: The role of team size and interdisciplinarity," Research Policy, Elsevier, vol. 49(6).
    32. Manuel Goyanes & Márton Demeter & Zicheng Cheng & Homero Gil Zúñiga, 2022. "Measuring publication diversity among the most productive scholars: how research trajectories differ in communication, psychology, and political science," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(6), pages 3661-3682, June.
    33. Alexandre Truc, 2022. "The Disciplinary Mobility of Core Behavioral Economists," GREDEG Working Papers 2022-27, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    34. Liang Hu & Win-bin Huang & Yi Bu, 2024. "Interdisciplinary research attracts greater attention from policy documents: evidence from COVID-19," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-10, December.
    35. Juan María Hernández & Pablo Dorta-González, 2020. "Interdisciplinarity Metric Based on the Co-Citation Network," Mathematics, MDPI, vol. 8(4), pages 1-8, April.
    36. Seolmin Yang & So Young Kim, 2023. "Knowledge-integrated research is more disruptive when supported by homogeneous funding sources: a case of US federally funded research in biomedical and life sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(6), pages 3257-3282, June.
    37. Marco Seeber & Jef Vlegels & Mattia Cattaneo, 2022. "Conditions that do or do not disadvantage interdisciplinary research proposals in project evaluation," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(8), pages 1106-1126, August.
    38. Kim, Hyeyoung & Park, Hyelin & Song, Min, 2022. "Developing a topic-driven method for interdisciplinarity analysis," Journal of Informetrics, Elsevier, vol. 16(2).
    39. Rüdiger Mutz, 2022. "Diversity and interdisciplinarity: Should variety, balance and disparity be combined as a product or better as a sum? An information-theoretical and statistical estimation approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7397-7414, December.
    40. Shuo Xu & Ling Li & Xin An, 2023. "Do academic inventors have diverse interests?," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(2), pages 1023-1053, February.
    41. Yi Bu & Mengyang Li & Weiye Gu & Win‐bin Huang, 2021. "Topic diversity: A discipline scheme‐free diversity measurement for journals," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(5), pages 523-539, May.
    42. Yang, Alex J., 2024. "Unveiling the impact and dual innovation of funded research," Journal of Informetrics, Elsevier, vol. 18(1).
    43. Shogo Katoh & Rick (H.L.) Aalbers & Shintaro Sengoku, 2021. "Effects and Interactions of Researcher’s Motivation and Personality in Promoting Interdisciplinary and Transdisciplinary Research," Sustainability, MDPI, vol. 13(22), pages 1-19, November.

  17. Loet Leydesdorff & Lutz Bornmann & John Mingers, 2019. "Statistical significance and effect sizes of differences among research universities at the level of nations and worldwide based on the leiden rankings," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 70(5), pages 509-525, May.

    Cited by:

    1. Cinzia Daraio & Simone Di Leo & Loet Leydesdorff, 2023. "A heuristic approach based on Leiden rankings to identify outliers: evidence from Italian universities in the European landscape," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(1), pages 483-510, January.
    2. Loet Leydesdorff & Lutz Bornmann & Jonathan Adams, 2019. "The integrated impact indicator revisited (I3*): a non-parametric alternative to the journal impact factor," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(3), pages 1669-1694, June.
    3. Barbara S. Lancho-Barrantes & Francisco J. Cantu-Ortiz, 2021. "Quantifying the publication preferences of leading research universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(3), pages 2269-2310, March.

  18. Loet Leydesdorff & Caroline S. Wagner & Igone Porto‐Gomez & Jordan A. Comins & Fred Phillips, 2019. "Synergy in the knowledge base of U.S. innovation systems at national, state, and regional levels: The contributions of high‐tech manufacturing and knowledge‐intensive services," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 70(10), pages 1108-1123, October.

    Cited by:

    1. Ghazinoory, Sepehr & Phillips, Fred & Afshari-Mofrad, Masoud & Bigdelou, Nasrin, 2021. "Innovation lives in ecotones, not ecosystems," Journal of Business Research, Elsevier, vol. 135(C), pages 572-580.
    2. Shi, Huihong & Mu, Congming & Yang, Jinqiang & Huang, Wenli, 2021. "A Sino-US comparative analysis of the hi-tech entrepreneurial model," Economic Modelling, Elsevier, vol. 94(C), pages 953-966.
    3. Leogrande, Angelo & Costantiello, Alberto & Laureti, Lucio, 2022. "The Exports of Knowledge Intensive Services. A Complex Metric Approach," MPRA Paper 113348, University Library of Munich, Germany.
    4. Porto-Gomez, Igone & Zabala-Iturriagagoitia, Jon Mikel & Leydesdorff, Loet, 2019. "Innovation systems in México: A matter of missing synergies," Technological Forecasting and Social Change, Elsevier, vol. 148(C).

  19. Inga Ivanova & Oivind Strand & Loet Leydesdorff, 2019. "The Synergy and Cycle Values in Regional Innovation Systems: The Case of Norway," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 13(1), pages 48-61.

    Cited by:

    1. Vladimir Byvshev & Kristina Parfenteva & Irina Panteleeva & Danil Uskov & Vadim Demin, 2022. "Methodology for assessing the effectiveness of regional infrastructure facilities to support scientific, technical and innovation activities in the context of the synergy effect: analysis, formation a," Journal of Innovation and Entrepreneurship, Springer, vol. 11(1), pages 1-17, December.

  20. Loet Leydesdorff & Lutz Bornmann & Caroline S. Wagner, 2019. "The Relative Influences of Government Funding and International Collaboration on Citation Impact," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 70(2), pages 198-201, February.

    Cited by:

    1. Yan Yan & Shanwu Tian & Jingjing Zhang, 2020. "The impact of a paper’s new combinations and new components on its citation," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(2), pages 895-913, February.
    2. Cesar H. Limaymanta & Rosalía Quiroz-de-García & Jesús A. Rivas-Villena & Andrea Rojas-Arroyo & Orlando Gregorio-Chaviano, 2022. "Relationship between collaboration and normalized scientific impact in South American public universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(11), pages 6391-6411, November.
    3. Heng Huang & Donghua Zhu & Xuefeng Wang, 2022. "Evaluating scientific impact of publications: combining citation polarity and purpose," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(9), pages 5257-5281, September.
    4. Jing Li & Qiushuang Long & Xiaoli Lu & Dengsheng Wu, 2023. "Citation beneficiaries of discipline-specific mega-journals: who and how much," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-10, December.
    5. Christine Meschede, 2020. "The Sustainable Development Goals in Scientific Literature: A Bibliometric Overview at the Meta-Level," Sustainability, MDPI, vol. 12(11), pages 1-14, June.
    6. Shanwu Tian & Xiurui Xu & Ping Li, 2021. "Acknowledgement network and citation count: the moderating role of collaboration network," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(9), pages 7837-7857, September.
    7. Zhang, Xinyuan & Xie, Qing & Song, Min, 2021. "Measuring the impact of novelty, bibliometric, and academic-network factors on citation count using a neural network," Journal of Informetrics, Elsevier, vol. 15(2).
    8. Ping Zhou & Xiaojing Cai & Xiaozan Lyu, 2020. "An in-depth analysis of government funding and international collaboration in scientific research," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1331-1347, November.
    9. Claudia N. Gonzalez Brambila & Renata Herrerias, 2024. "Assessing the impact of collaborative authorship in Business Economics in Latin America," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(7), pages 4623-4660, July.
    10. Luka Ursić & Godfrey Baldacchino & Željana Bašić & Ana Belén Sainz & Ivan Buljan & Miriam Hampel & Ivana Kružić & Mia Majić & Ana Marušić & Franck Thetiot & Ružica Tokalić & Leandra Vranješ Markić, 2022. "Factors Influencing Interdisciplinary Research and Industry-Academia Collaborations at Six European Universities: A Qualitative Study," Sustainability, MDPI, vol. 14(15), pages 1-24, July.
    11. A. Velez-Estevez & P. García-Sánchez & J. A. Moral-Munoz & M. J. Cobo, 2022. "Why do papers from international collaborations get more citations? A bibliometric analysis of Library and Information Science papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7517-7555, December.
    12. Kwon, Seokbeom, 2022. "Interdisciplinary knowledge integration as a unique knowledge source for technology development and the role of funding allocation," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
    13. Melika Mosleh & Saeed Roshani & Mario Coccia, 2022. "Scientific laws of research funding to support citations and diffusion of knowledge in life science," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(4), pages 1931-1951, April.
    14. Cheng Zhe & Xingfu Lu & Xiong Xiong, 2021. "Analysis of Influence Factors on the Quality of International Collaboration Research in the Field of Social Sciences and Humanities: The Case of Chinese World Class Universities (2015–2019)," SAGE Open, , vol. 11(4), pages 21582440211, October.
    15. Kaile Gong & Ying Cheng, 2022. "Patterns and impact of collaboration in China’s social sciences: cross-database comparisons between CSSCI and SSCI," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(10), pages 5947-5964, October.
    16. Luo, Zhuoran & Lu, Wei & He, Jiangen & Wang, Yuqi, 2022. "Combination of research questions and methods: A new measurement of scientific novelty," Journal of Informetrics, Elsevier, vol. 16(2).
    17. Elizabeth S. Vieira, 2023. "The influence of research collaboration on citation impact: the countries in the European Innovation Scoreboard," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(6), pages 3555-3579, June.
    18. Yang, Alex J., 2024. "Unveiling the impact and dual innovation of funded research," Journal of Informetrics, Elsevier, vol. 18(1).

  21. Inga Ivanova & Øivind Strand & Loet Leydesdorff, 2019. "An Eco-Systems Approach To Constructing Economic Complexity Measures: Endogenization Of The Technological Dimension Using Lotka–Volterra Equations," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 22(01), pages 1-21, February.

    Cited by:

    1. Travis J. Lybbert & Mingzhi Xu, 2022. "Innovation‐adjusted economic complexity and growth: Do patent flows reveal enhanced economic capabilities?," Review of Development Economics, Wiley Blackwell, vol. 26(1), pages 442-483, February.
    2. Milica Jovanović & Gordana Savić & Yuzhuo Cai & Maja Levi-Jakšić, 2022. "Towards a Triple Helix based efficiency index of innovation systems," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(5), pages 2577-2609, May.

  22. Lutz Bornmann & Robin Haunschild & Loet Leydesdorff, 2018. "Reference publication year spectroscopy (RPYS) of Eugene Garfield’s publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(2), pages 439-448, February.

    Cited by:

    1. Matthieu Ballandonne & Igor Cersosimo, 2021. "A note on reference publication year spectroscopy with incomplete information," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(6), pages 4927-4939, June.
    2. Wei Cheng & Dejun Zheng & Shaoxiong Fu & Jingfeng Cui, 2024. "Closer in time and higher correlation: disclosing the relationship between citation similarity and citation interval," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(7), pages 4495-4512, July.
    3. Thomas Scheidsteger & Robin Haunschild, 2020. "Telling the story of solar energy meteorology into the satellite era by applying (co-citation) reference publication year spectroscopy," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1159-1177, November.
    4. Arash Najmaei & Zahra Sadeghinejad, 2023. "Green and sustainable business models: historical roots, growth trajectory, conceptual architecture and an agenda for future research—A bibliometric review of green and sustainable business models," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(2), pages 957-999, February.
    5. Xin Li & Qiang Yao & Xuli Tang & Qian Li & Mengjia Wu, 2020. "How to investigate the historical roots and evolution of research fields in China? A case study on iMetrics using RootCite," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1253-1274, November.

  23. Comins, Jordan A. & Carmack, Stephanie A. & Leydesdorff, Loet, 2018. "Patent citation spectroscopy (PCS): Online retrieval of landmark patents based on an algorithmic approach," Journal of Informetrics, Elsevier, vol. 12(4), pages 1223-1231.

    Cited by:

    1. Jiang, Hongxun & Fan, Shaokun & Zhang, Nan & Zhu, Bin, 2023. "Deep learning for predicting patent application outcome: The fusion of text and network embeddings," Journal of Informetrics, Elsevier, vol. 17(2).
    2. Lai, Kuei-Kuei & Bhatt, Priyanka C. & Kumar, Vimal & Chen, Hsueh-Chen & Chang, Yu-Hsin & Su, Fang-Pei, 2021. "Identifying the impact of patent family on the patent trajectory: A case of thin film solar cells technological trajectories," Journal of Informetrics, Elsevier, vol. 15(2).
    3. Xin Li & Qiang Yao & Xuli Tang & Qian Li & Mengjia Wu, 2020. "How to investigate the historical roots and evolution of research fields in China? A case study on iMetrics using RootCite," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1253-1274, November.

  24. Loet Leydesdorff, 2018. "Diversity and interdisciplinarity: how can one distinguish and recombine disparity, variety, and balance?," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(3), pages 2113-2121, September.

    Cited by:

    1. Jian Xu & Yi Bu & Ying Ding & Sinan Yang & Hongli Zhang & Chen Yu & Lin Sun, 2018. "Understanding the formation of interdisciplinary research from the perspective of keyword evolution: a case study on joint attention," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(2), pages 973-995, November.
    2. Meijun Liu & Sijie Yang & Yi Bu & Ning Zhang, 2023. "Female early-career scientists have conducted less interdisciplinary research in the past six decades: evidence from doctoral theses," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-16, December.
    3. Giulio Giacomo Cantone, 2024. "How to measure interdisciplinary research? A systemic design for the model of measurement," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(8), pages 4937-4982, August.
    4. Gangan Prathap, 2019. "Balance: a thermodynamic perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(1), pages 247-255, April.
    5. Ascione, Grazia Sveva, 2023. "Technological diversity to address complex challenges: the contribution of American universities to sdgs," MPRA Paper 119452, University Library of Munich, Germany.
    6. Xiaojing Cai & Xiaozan Lyu & Ping Zhou, 2023. "The relationship between interdisciplinarity and citation impact—a novel perspective on citation accumulation," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-12, December.
    7. Fabio Zagonari, 2019. "Scientific Production and Productivity for Characterizing an Author’s Publication History: Simple and Nested Gini’s and Hirsch’s Indexes Combined," Publications, MDPI, vol. 7(2), pages 1-30, May.
    8. Chen, Shiji & Qiu, Junping & Arsenault, Clément & Larivière, Vincent, 2021. "Exploring the interdisciplinarity patterns of highly cited papers," Journal of Informetrics, Elsevier, vol. 15(1).
    9. Shiji Chen & Yanhui Song & Fei Shu & Vincent Larivière, 2022. "Interdisciplinarity and impact: the effects of the citation time window," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(5), pages 2621-2642, May.
    10. Keungoui Kim & Dieter F. Kogler & Sira Maliphol, 2024. "Identifying interdisciplinary emergence in the science of science: combination of network analysis and BERTopic," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-15, December.
    11. Reinhold Kosfeld & Timo Mitze, 2020. "The role of R&D-intensive clusters for regional competitiveness," MAGKS Papers on Economics 202001, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    12. Haeussler, Carolin & Sauermann, Henry, 2020. "Division of labor in collaborative knowledge production: The role of team size and interdisciplinarity," Research Policy, Elsevier, vol. 49(6).
    13. Leydesdorff, Loet & Wagner, Caroline S. & Bornmann, Lutz, 2019. "Interdisciplinarity as diversity in citation patterns among journals: Rao-Stirling diversity, relative variety, and the Gini coefficient," Journal of Informetrics, Elsevier, vol. 13(1), pages 255-269.
    14. Reinhold Kosfeld & Timo Mitze, 2023. "Research and development intensive clusters and regional competitiveness," Growth and Change, Wiley Blackwell, vol. 54(4), pages 885-911, December.
    15. Marco Seeber & Jef Vlegels & Mattia Cattaneo, 2022. "Conditions that do or do not disadvantage interdisciplinary research proposals in project evaluation," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(8), pages 1106-1126, August.
    16. SUN, Yu-tao & ZHANG, Chen & WANG, Jin-min, 2022. "How to Benefit from Balancing External Knowledge Acquisition? A Chinese EIT Industry Case," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
    17. Rakas, Marija & Hain, Daniel S., 2019. "The state of innovation system research: What happens beneath the surface?," Research Policy, Elsevier, vol. 48(9), pages 1-1.
    18. Rüdiger Mutz, 2022. "Diversity and interdisciplinarity: Should variety, balance and disparity be combined as a product or better as a sum? An information-theoretical and statistical estimation approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7397-7414, December.
    19. Yang, Alex J., 2024. "Unveiling the impact and dual innovation of funded research," Journal of Informetrics, Elsevier, vol. 18(1).
    20. Andrea Zielinski, 2022. "Impact of model settings on the text-based Rao diversity index," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7751-7768, December.

  25. Loet Leydesdorff & Caroline S. Wagner & Lutz Bornmann, 2018. "Betweenness and diversity in journal citation networks as measures of interdisciplinarity—A tribute to Eugene Garfield," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(2), pages 567-592, February.

    Cited by:

    1. Hamid R. Jamali & Ghasem Azadi-Ahmadabadi & Saeid Asadi, 2018. "Interdisciplinary relations of converging technologies: Nano–Bio–Info–Cogno (NBIC)," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(2), pages 1055-1073, August.
    2. Ronald Rousseau, 2018. "The repeat rate: from Hirschman to Stirling," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 645-653, July.
    3. Gao, Qiang & Liang, Zhentao & Wang, Ping & Hou, Jingrui & Chen, Xiuxiu & Liu, Manman, 2021. "Potential index: Revealing the future impact of research topics based on current knowledge networks," Journal of Informetrics, Elsevier, vol. 15(3).
    4. Yan Yan & Shanwu Tian & Jingjing Zhang, 2020. "The impact of a paper’s new combinations and new components on its citation," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(2), pages 895-913, February.
    5. Alfonso Ávila-Robinson & Cristian Mejia & Shintaro Sengoku, 2021. "Are bibliometric measures consistent with scientists’ perceptions? The case of interdisciplinarity in research," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(9), pages 7477-7502, September.
    6. Barbara McGillivray & Gard B. Jenset & Khalid Salama & Donna Schut, 2022. "Investigating patterns of change, stability, and interaction among scientific disciplines using embeddings," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-15, December.
    7. Giulio Giacomo Cantone, 2024. "How to measure interdisciplinary research? A systemic design for the model of measurement," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(8), pages 4937-4982, August.
    8. Komlósi, Éva & Sebestyén, Tamás & Tóth-Pajor, Ákos & Bedő, Zsolt, 2022. "Do specific entrepreneurial ecosystems favor high-level networking while others not? Lessons from the Hungarian IT sector," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    9. Li, Xin & Tang, Xuli & Cheng, Qikai, 2022. "Predicting the clinical citation count of biomedical papers using multilayer perceptron neural network," Journal of Informetrics, Elsevier, vol. 16(4).
    10. Loet Leydesdorff & Inga Ivanova, 2021. "The measurement of “interdisciplinarity” and “synergy” in scientific and extra‐scientific collaborations," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(4), pages 387-402, April.
    11. Fabio Zagonari, 2019. "Scientific Production and Productivity for Characterizing an Author’s Publication History: Simple and Nested Gini’s and Hirsch’s Indexes Combined," Publications, MDPI, vol. 7(2), pages 1-30, May.
    12. Loet Leydesdorff, 2018. "Diversity and interdisciplinarity: how can one distinguish and recombine disparity, variety, and balance?," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(3), pages 2113-2121, September.
    13. Fabio Zagonari, 2019. "(Moral) philosophy and (moral) theology can function as (behavioural) science: a methodological framework for interdisciplinary research," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(6), pages 3131-3158, November.
    14. Joshua Eykens & Raf Guns & Raf Vanderstraeten, 2022. "Subject specialties as interdisciplinary trading grounds: the case of the social sciences and humanities," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7193-7213, December.
    15. Fan, Yangliu & Lehmann, Sune & Blok, Anders, 2022. "Extracting the interdisciplinary specialty structures in social media data-based research: A clustering-based network approach," Journal of Informetrics, Elsevier, vol. 16(3).
    16. Keungoui Kim & Dieter F. Kogler & Sira Maliphol, 2024. "Identifying interdisciplinary emergence in the science of science: combination of network analysis and BERTopic," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-15, December.
    17. Jingjing Ren & Fang Wang & Minglu Li, 2023. "Dynamics and characteristics of interdisciplinary research in scientific breakthroughs: case studies of Nobel-winning research in the past 120 years," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(8), pages 4383-4419, August.
    18. Zhang, Lin & Sun, Mengting & Peng, Yujie & Zhao, Wenjing & Chen, Lixin & Huang, Ying, 2022. "How public investment fuels innovation: Clues from government-subsidized USPTO patents," Journal of Informetrics, Elsevier, vol. 16(3).
    19. Pan, Wenhui & Zhao, Pengwei & Qin, Chunxiu & Ding, Xianfeng, 2020. "How do new members affect the relationship between principal investigator’s network position and academic output of granted funds?," Evaluation and Program Planning, Elsevier, vol. 78(C).
    20. Lin Zhang & Beibei Sun & Zaida Chinchilla-Rodríguez & Lixin Chen & Ying Huang, 2018. "Interdisciplinarity and collaboration: on the relationship between disciplinary diversity in departmental affiliations and reference lists," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(1), pages 271-291, October.
    21. Leydesdorff, Loet & Wagner, Caroline S. & Bornmann, Lutz, 2019. "Interdisciplinarity as diversity in citation patterns among journals: Rao-Stirling diversity, relative variety, and the Gini coefficient," Journal of Informetrics, Elsevier, vol. 13(1), pages 255-269.
    22. Qian Yu & Rui Tao & Shan Jiang, 2023. "Exploring the evolution of interdisciplinary citation network by the colored network motifs: the case of Perovskite Materials," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(8), pages 4421-4446, August.
    23. Prathap, Gangan & Ujum, Ephrance Abu & Kumar, Sameer & Ratnavelu, Kuru, 2021. "Scoring the resourcefulness of researchers using bibliographic coupling patterns," Journal of Informetrics, Elsevier, vol. 15(3).
    24. Jin Suk Lee & Tae Ho Song, 2022. "Detection of the Perceptual Gap between Experts and Public for the Successful Implementation of New Policies: Evidence from the Educational Policy Development," Sustainability, MDPI, vol. 14(5), pages 1-11, March.
    25. Kim, Hyeyoung & Park, Hyelin & Song, Min, 2022. "Developing a topic-driven method for interdisciplinarity analysis," Journal of Informetrics, Elsevier, vol. 16(2).
    26. Katchanov, Yurij L. & Markova, Yulia V. & Shmatko, Natalia A., 2019. "The distinction machine: Physics journals from the perspective of the Kolmogorov–Smirnov statistic," Journal of Informetrics, Elsevier, vol. 13(4).
    27. Yi Bu & Mengyang Li & Weiye Gu & Win‐bin Huang, 2021. "Topic diversity: A discipline scheme‐free diversity measurement for journals," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(5), pages 523-539, May.
    28. Wooseok Jang & Heeyeul Kwon & Yongtae Park & Hakyeon Lee, 2018. "Predicting the degree of interdisciplinarity in academic fields: the case of nanotechnology," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 231-254, July.

  26. Loet Leydesdorff & Caroline S. Wagner & Lutz Bornmann, 2018. "Discontinuities in citation relations among journals: self-organized criticality as a model of scientific revolutions and change," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 623-644, July.

    Cited by:

    1. Burmaoglu, Serhat & Sartenaer, Olivier & Porter, Alan, 2019. "Conceptual definition of technology emergence: A long journey from philosophy of science to science policy," Technology in Society, Elsevier, vol. 59(C).
    2. Jielan Ding & Zhesi Shen & Per Ahlgren & Tobias Jeppsson & David Minguillo & Johan Lyhagen, 2021. "The link between ethnic diversity and scientific impact: the mediating effect of novelty and audience diversity," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(9), pages 7759-7810, September.
    3. Leydesdorff, Loet & Bornmann, Lutz, 2021. "Disruption indices and their calculation using web-of-science data: Indicators of historical developments or evolutionary dynamics?," Journal of Informetrics, Elsevier, vol. 15(4).
    4. Loet Leydesdorff & Lutz Bornmann & Jonathan Adams, 2019. "The integrated impact indicator revisited (I3*): a non-parametric alternative to the journal impact factor," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(3), pages 1669-1694, June.

  27. Lutz Bornmann & Loet Leydesdorff, 2018. "Count highly-cited papers instead of papers with h citations: use normalized citation counts and compare “like with like”!," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(2), pages 1119-1123, May.

    Cited by:

    1. Domingo Docampo & Lawrence Cram, 2019. "Highly cited researchers: a moving target," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 1011-1025, March.
    2. David A. Groneberg & Doris Klingelhöfer & Dörthe Brüggmann & Cristian Scutaru & Axel Fischer & David Quarcoo, 2019. "New quality and quantity indices in science (NewQIS): results of the first decade—project progress review," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(1), pages 451-478, October.
    3. Gangan Prathap, 2019. "Letter to the editor: Second-order h-type indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(3), pages 1825-1827, December.
    4. Gerson Pech & Catarina Delgado, 2020. "Percentile and stochastic-based approach to the comparison of the number of citations of articles indexed in different bibliographic databases," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(1), pages 223-252, April.
    5. Steffen Wendzel & Cédric Lévy-Bencheton & Luca Caviglione, 2020. "Not all areas are equal: analysis of citations in information security research," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 267-286, January.
    6. Alonso Rodríguez-Navarro & Ricardo Brito, 2019. "Probability and expected frequency of breakthroughs: basis and use of a robust method of research assessment," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(1), pages 213-235, April.
    7. Brito, Ricardo & Navarro, Alonso Rodríguez, 2021. "The inconsistency of h-index: A mathematical analysis," Journal of Informetrics, Elsevier, vol. 15(1).
    8. Lauranne Chaignon & Domingo Docampo & Daniel Egret, 2023. "In search of a scientific elite: highly cited researchers (HCR) in France," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(10), pages 5801-5827, October.
    9. Rachel Einecker & Andrew Kirby, 2020. "Climate Change: A Bibliometric Study of Adaptation, Mitigation and Resilience," Sustainability, MDPI, vol. 12(17), pages 1-16, August.
    10. Guangyuan Hu & Lei Wang & Rong Ni & Weishu Liu, 2020. "Which h-index? An exploration within the Web of Science," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(3), pages 1225-1233, June.
    11. Gangan Prathap, 2021. "Letter to the editor: Is the h-index a mock compromise between the p-index and the z-index?," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(5), pages 4537-4539, May.
    12. Alberto Martín-Martín & Enrique Orduna-Malea & Emilio Delgado López-Cózar, 2018. "Coverage of highly-cited documents in Google Scholar, Web of Science, and Scopus: a multidisciplinary comparison," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(3), pages 2175-2188, September.
    13. Yang, Alex Jie & Wu, Linwei & Zhang, Qi & Wang, Hao & Deng, Sanhong, 2023. "The k-step h-index in citation networks at the paper, author, and institution levels," Journal of Informetrics, Elsevier, vol. 17(4).
    14. Balázs Győrffy & Andrea Magda Nagy & Péter Herman & Ádám Török, 2018. "Factors influencing the scientific performance of Momentum grant holders: an evaluation of the first 117 research groups," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(1), pages 409-426, October.
    15. Yves Fassin, 2020. "The HF-rating as a universal complement to the h-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 965-990, November.
    16. Jaime A. Teixeira da Silva & Judit Dobránszki, 2018. "Rejoinder to “Multiple versions of the h-index: cautionary use for formal academic purposes”," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(2), pages 1131-1137, May.
    17. Antonoyiannakis, Manolis, 2018. "Impact Factors and the Central Limit Theorem: Why citation averages are scale dependent," Journal of Informetrics, Elsevier, vol. 12(4), pages 1072-1088.
    18. Gangan Prathap, 2018. "Letter to the editor: Dimensionless citation indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(3), pages 1433-1435, June.
    19. Jaime A. Teixeira da Silva, 2021. "The i100-index, i1000-index and i10,000-index: expansion and fortification of the Google Scholar h-index for finer-scale citation descriptions and researcher classification," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 3667-3672, April.

  28. Dieter Franz Kogler & Gaston Heimeriks & Loet Leydesdorff, 2018. "Patent portfolio analysis of cities: statistics and maps of technological inventiveness," European Planning Studies, Taylor & Francis Journals, vol. 26(11), pages 2256-2278, November.

    Cited by:

    1. Keung-Oui Kim & Alberto Nonnis & Altay Özaygen & Dieter Kogler, 2023. "Green-tech firm creation in Germany: the role of regional knowledge," Post-Print hal-03825271, HAL.
    2. Bernardo S. Buarque & Ronald B. Davies & Dieter Franz Kogler & Ryan M. Hynes, 2019. "OK Computer: The Creation and Integration of AI in Europe," Working Papers 201911, School of Economics, University College Dublin.
    3. Giambattista Albora & Matteo Straccamore & Andrea Zaccaria, 2024. "Machine learning-based similarity measure to forecast M&A from patent data," Papers 2404.07179, arXiv.org.
    4. Xiaodong Yuan & Xiaotao Li, 2022. "Pledging Patent Rights for Fighting Against the COVID-19: From the Ethical and Efficiency Perspective," Journal of Business Ethics, Springer, vol. 179(3), pages 683-696, September.
    5. Alina Irina Popescu, 2020. "Long-Term City Innovation Trajectories and Quality of Urban Life," Sustainability, MDPI, vol. 12(24), pages 1-19, December.
    6. Ekaterina Streltsova & Gleb Kuzmin, 2019. "Russian Technograds: The Technological Profiles of the Cities," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 13(3), pages 41-49.
    7. Hongjun Sun & Zuoxiang Zhao & Ding Han, 2024. "Growth Models and Influencing Mechanisms of Total Factor Productivity in China’s National High-Tech Zones," Sustainability, MDPI, vol. 16(8), pages 1-19, April.

  29. Bornmann, Lutz & Adams, Jonathan & Leydesdorff, Loet, 2018. "The negative effects of citing with a national orientation in terms of recognition: National and international citations in natural-sciences papers from Germany, the Netherlands, and the UK," Journal of Informetrics, Elsevier, vol. 12(3), pages 931-949.

    Cited by:

    1. Liyue Chen & Jielan Ding & Vincent Larivière, 2022. "Measuring the citation context of national self‐references," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(5), pages 671-686, May.
    2. Raminta Pranckutė, 2021. "Web of Science (WoS) and Scopus: The Titans of Bibliographic Information in Today’s Academic World," Publications, MDPI, vol. 9(1), pages 1-59, March.
    3. Mahdi Khelfaoui & Julien Larrègue & Vincent Larivière & Yves Gingras, 2020. "Measuring national self-referencing patterns of major science producers," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(2), pages 979-996, May.
    4. Saarela, Mirka & Kärkkäinen, Tommi, 2020. "Can we automate expert-based journal rankings? Analysis of the Finnish publication indicator," Journal of Informetrics, Elsevier, vol. 14(2).
    5. Martin Szomszor & David A. Pendlebury & Jonathan Adams, 2020. "How much is too much? The difference between research influence and self-citation excess," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(2), pages 1119-1147, May.
    6. Abramo, Giovanni & D’Angelo, Ciriaco Andrea & Di Costa, Flavia, 2021. "On the relation between the degree of internationalization of cited and citing publications: A field level analysis, including and excluding self-citations," Journal of Informetrics, Elsevier, vol. 15(1).

  30. Hu, Xiaojun & Leydesdorff, Loet & Rousseau, Ronald, 2017. "Heterogeneity in an undirected network: Definition and measurement," Journal of Informetrics, Elsevier, vol. 11(2), pages 669-682.

    Cited by:

    1. Loet Leydesdorff & Inga Ivanova, 2021. "The measurement of “interdisciplinarity” and “synergy” in scientific and extra‐scientific collaborations," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(4), pages 387-402, April.
    2. Zhang, Hui & Cui, Houdun & Wang, Wei & Song, Wenbo, 2020. "Properties of Chinese railway network: Multilayer structures based on timetable data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 560(C).
    3. Huang, Chuangxia & Zhao, Xian & Deng, Yunke & Yang, Xiaoguang & Yang, Xin, 2022. "Evaluating influential nodes for the Chinese energy stocks based on jump volatility spillover network," International Review of Economics & Finance, Elsevier, vol. 78(C), pages 81-94.

  31. Caroline S. Wagner & Travis A. Whetsell & Loet Leydesdorff, 2017. "Growth of international collaboration in science: revisiting six specialties," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(3), pages 1633-1652, March.

    Cited by:

    1. Uwe Cantner & Martin Kalthaus & Matthias Menter & Pierre Mohnen, 2023. "Global knowledge flows: characteristics, determinants, and impacts," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 32(5), pages 1063-1076.
    2. Elizabeth S. Vieira, 2022. "International research collaboration in Africa: a bibliometric and thematic analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(5), pages 2747-2772, May.
    3. Marian-Gabriel Hâncean & Matjaž Perc & Jürgen Lerner, 2021. "The coauthorship networks of the most productive European researchers," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 201-224, January.
    4. Nubia Yaneth Gómez Velasco & Orlando Gregorio Chaviano & Alba Lorena Ballesteros Alfonso, 2021. "Dynamics of Colombian Scientific Production in Economics: A Bibliometric Study in Scopus 2007-2019," Lecturas de Economía, Universidad de Antioquia, Departamento de Economía, issue 95, pages 277-309, July-Dece.
    5. Huimin Xu & Yi Bu & Meijun Liu & Chenwei Zhang & Mengyi Sun & Yi Zhang & Eric Meyer & Eduardo Salas & Ying Ding, 2022. "Team power dynamics and team impact: New perspectives on scientific collaboration using career age as a proxy for team power," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(10), pages 1489-1505, October.
    6. Aleksandra Zygmunt, 2020. "Do Human Resources and the Research System Affect Firms’ Innovation Activities? Results from Poland and the Czech Republic," Sustainability, MDPI, vol. 12(6), pages 1-14, March.
    7. Hans Pohl, 2020. "Collaboration with countries with rapidly growing research: supporting proactive development of international research collaboration," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 287-307, January.
    8. Hans Pohl, 2021. "Internationalisation, innovation, and academic–corporate co-publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 1329-1358, February.
    9. Hans Pohl, 2024. "Using citation-based indicators to compare bilateral research collaborations," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(8), pages 4751-4770, August.
    10. Wagner, Caroline S. & Whetsell, Travis A. & Mukherjee, Satyam, 2019. "International research collaboration: Novelty, conventionality, and atypicality in knowledge recombination," Research Policy, Elsevier, vol. 48(5), pages 1260-1270.
    11. Peter Sjögårde & Fereshteh Didegah, 2022. "The association between topic growth and citation impact of research publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(4), pages 1903-1921, April.
    12. Tu, Jing, 2024. "Openness to international collaboration and tie strength in enhancing knowledge creation," Journal of Informetrics, Elsevier, vol. 18(1).
    13. Guangchao Charles Feng, 2020. "Research Performance Evaluation in China: A Big Data Analysis," SAGE Open, , vol. 10(1), pages 21582440199, January.
    14. Xuli Tang & Xin Li & Feicheng Ma, 2022. "Internationalizing AI: evolution and impact of distance factors," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(1), pages 181-205, January.
    15. Yi Zhang & Xiaojing Cai & Caroline V. Fry & Mengjia Wu & Caroline S. Wagner, 2021. "Topic evolution, disruption and resilience in early COVID-19 research," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(5), pages 4225-4253, May.
    16. Zhai, Li & Yan, Xiangbin, 2022. "A directed collaboration network for exploring the order of scientific collaboration," Journal of Informetrics, Elsevier, vol. 16(4).
    17. Giulio Marini, 2021. "Joining the European Union as an advantage in science performativity. A quasi-experimental study," DoQSS Working Papers 21-09, Quantitative Social Science - UCL Social Research Institute, University College London.
    18. Christine Meschede, 2020. "The Sustainable Development Goals in Scientific Literature: A Bibliometric Overview at the Meta-Level," Sustainability, MDPI, vol. 12(11), pages 1-14, June.
    19. Qin Zhang & Juneman Abraham & Hui-Zhen Fu, 2020. "Collaboration and its influence on retraction based on retracted publications during 1978–2017," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 213-232, October.
    20. György Csomós & Zsófia Viktória Vida & Balázs Lengyel, 2020. "Exploring the changing geographical pattern of international scientific collaborations through the prism of cities," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-20, November.
    21. Enrique Rosales-Asensio & Carlos Sierra & Clara Pérez-Molina & Jesús Romero-Mayoral & Antonio Colmenar-Santos, 2021. "Teaching Using Collaborative Research Projects: Experiences with Adult Learners in Distance Education," Sustainability, MDPI, vol. 13(18), pages 1-12, September.
    22. Stanislav Avdeev, 2019. "International Collaboration In Higher Education Research: A Gravity Model Approach," HSE Working papers WP BRP 54/EDU/2019, National Research University Higher School of Economics.
    23. Claudia N. Gonzalez Brambila & Renata Herrerias, 2024. "Assessing the impact of collaborative authorship in Business Economics in Latin America," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(7), pages 4623-4660, July.
    24. Danielle Lee, 2023. "Bibliometric analysis of Asian ‘language and linguistics’ research: A case of 13 countries," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-23, December.
    25. Mary K. Feeney & Heyjie Jung & Timothy P. Johnson & Eric W. Welch, 2023. "U.S. Visa and Immigration Policy Challenges: Explanations for Faculty Perceptions and Intent to Leave," Research in Higher Education, Springer;Association for Institutional Research, vol. 64(7), pages 1031-1057, November.
    26. Yang Li & Huajiao Li & Nairong Liu & Xueyong Liu, 2018. "Important institutions of interinstitutional scientific collaboration networks in materials science," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(1), pages 85-103, October.
    27. Chaocheng He & Jiang Wu & Qingpeng Zhang, 2021. "Characterizing research leadership on geographically weighted collaboration network," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(5), pages 4005-4037, May.
    28. Wang, Jue & Zhang, Liwei, 2018. "Proximal advantage in knowledge diffusion: The time dimension," Journal of Informetrics, Elsevier, vol. 12(3), pages 858-867.
    29. Dag W. Aksnes & Fredrik Niclas Piro & Kristoffer Rørstad, 2019. "Gender gaps in international research collaboration: a bibliometric approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(2), pages 747-774, August.
    30. Abramo, Giovanni & D’Angelo, Ciriaco Andrea & Di Costa, Flavia, 2020. "Knowledge spillovers: Does the geographic proximity effect decay over time? A discipline-level analysis, accounting for cognitive proximity, with and without self-citations," Journal of Informetrics, Elsevier, vol. 14(4).
    31. Jing Tu, 2019. "What connections lead to good scientific performance?," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(2), pages 587-604, February.
    32. Holger Graf & Martin Kalthaus, 2016. "International Research Networks: Determinants of Country Embeddedness," Jena Economics Research Papers 2016-016, Friedrich-Schiller-University Jena.
    33. de Frutos-Belizón, Jesús & García-Carbonell, Natalia & Ruíz-Martínez, Marta & Sánchez-Gardey, Gonzalo, 2023. "Disentangling international research collaboration in the Spanish academic context: Is there a desirable researcher human capital profile?," Research Policy, Elsevier, vol. 52(6).
    34. Meira Levy & Irit Hadar & Itzhak Aviv, 2021. "Agile-Based Education for Teaching an Agile Requirements Engineering Methodology for Knowledge Management," Sustainability, MDPI, vol. 13(5), pages 1-21, March.
    35. Dongqing Lyu & Kaile Gong & Xuanmin Ruan & Ying Cheng & Jiang Li, 2021. "Does research collaboration influence the “disruption” of articles? Evidence from neurosciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 287-303, January.
    36. Concepta McManus & Abilio Afonso Baeta Neves & Andrea Queiroz Maranhão & Antonio Gomes Souza Filho & Jaime Martins Santana, 2020. "International collaboration in Brazilian science: financing and impact," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2745-2772, December.
    37. Candelaria Barrios & Esther Flores & M. Ángeles Martínez & Marta Ruiz-Martínez, 2019. "Is there convergence in international research collaboration? An exploration at the country level in the basic and applied science fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(2), pages 631-659, August.
    38. Cao Zhan & Derudder Ben & Dai Liang & Peng Zhenwei, 2023. "An analysis of the evolution of Chinese cities in global scientific collaboration networks: Manuscript prepared for special issue on “China’s internationalization and changing role in the world”," ZFW – Advances in Economic Geography, De Gruyter, vol. 67(1), pages 5-19, May.
    39. Vieira, Elizabeth S. & Cerdeira, Jorge & Teixeira, Aurora A.C., 2022. "Which distance dimensions matter in international research collaboration? A cross-country analysis by scientific domain," Journal of Informetrics, Elsevier, vol. 16(2).
    40. Ruimin Pei & Langqiu Li & Yiying Yang & Quan Zhou, 2024. "Co-evolution of international scientific mobility and international collaboration: a Scopus-based analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(7), pages 4353-4378, July.
    41. Tian, Yunpei & Li, Gang & Mao, Jin, 2023. "Predicting the evolution of scientific communities by interpretable machine learning approaches," Journal of Informetrics, Elsevier, vol. 17(2).
    42. Oliver Wieczorek & Markus Eckl & Madeleine Bausch & Erik Radisch & Christoph Barmeyer & Malte Rehbein, 2021. "Better, Faster, Stronger: The Evolution of Co-authorship in International Management Research Between 1990 and 2016," SAGE Open, , vol. 11(4), pages 21582440211, November.
    43. Hou, Lei & Pan, Yueling & Zhu, Jonathan J.H., 2021. "Impact of scientific, economic, geopolitical, and cultural factors on international research collaboration," Journal of Informetrics, Elsevier, vol. 15(3).
    44. Yusuf Ikbal Oldac, 2022. "Global science and the muslim world: overview of muslim-majority country contributions to global science," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(11), pages 6231-6255, November.
    45. Diane A. Isabelle & Mika Westerlund, 2022. "A Review and Categorization of Artificial Intelligence-Based Opportunities in Wildlife, Ocean and Land Conservation," Sustainability, MDPI, vol. 14(4), pages 1-22, February.
    46. Anna Małgorzata Kamińska & Łukasz Opaliński & Łukasz Wyciślik, 2022. "The Landscapes of Sustainability in the Library and Information Science: Collaboration Insights," Sustainability, MDPI, vol. 14(24), pages 1-23, December.
    47. Tatiana Kuznetsova & Stanislav Zaichenko, 2020. "Leadership Agenda In Strategic S&T Policy: A Cross-Country Comparison," HSE Working papers WP BRP 112/STI/2020, National Research University Higher School of Economics.
    48. Kristoffer Rørstad & Dag W Aksnes & Fredrik Niclas Piro, 2021. "Generational differences in international research collaboration: A bibliometric study of Norwegian University staff," PLOS ONE, Public Library of Science, vol. 16(11), pages 1-21, November.
    49. Magdalena Bemke-Świtilnik & Aneta Drabek & Anna Małgorzata Kamińska & Adam Smoliński, 2020. "Research Collaboration Patterns in Sustainable Mining—A Co-Authorship Analysis of Publications," Sustainability, MDPI, vol. 12(11), pages 1-16, June.
    50. Waleed Iqbal & Junaid Qadir & Gareth Tyson & Adnan Noor Mian & Saeed-ul Hassan & Jon Crowcroft, 2019. "A bibliometric analysis of publications in computer networking research," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 1121-1155, May.
    51. Zhigang Hu & Wencan Tian & Jiacheng Guo & Xianwen Wang, 2020. "Mapping research collaborations in different countries and regions: 1980–2019," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 729-745, July.

  32. Daniele Rotolo & Ismael Rafols & Michael M. Hopkins & Loet Leydesdorff, 2017. "Strategic intelligence on emerging technologies: Scientometric overlay mapping," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(1), pages 214-233, January.

    Cited by:

    1. Alexander Petersen & Daniele Rotolo & Loet Leydesdor, 2016. "A Triple Helix Model of Medical Innovation: Supply, Demand, and Technological Capabilities in terms of Medical Subject Headings," SPRU Working Paper Series 2016-01, SPRU - Science Policy Research Unit, University of Sussex Business School.
    2. Loet Leydesdorff & Dieter Franz Kogler & Bowen Yan, 2017. "Mapping patent classifications: portfolio and statistical analysis, and the comparison of strengths and weaknesses," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1573-1591, September.
    3. Tommaso Ciarli & Ismael Ràfols, 2018. "The Relation Between Research Priorities and Societal Demands: The Case of Rice," SPRU Working Paper Series 2018-12, SPRU - Science Policy Research Unit, University of Sussex Business School.
    4. Nicola Grassano & Daniele Rotolo & Joshua Hutton & Frédérique Lang & Michael M. Hopkins, 2017. "Funding Data from Publication Acknowledgments: Coverage, Uses, and Limitations," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(4), pages 999-1017, April.
    5. Burmaoglu, Serhat & Sartenaer, Olivier & Porter, Alan, 2019. "Conceptual definition of technology emergence: A long journey from philosophy of science to science policy," Technology in Society, Elsevier, vol. 59(C).
    6. Sepideh Kaffash & Marianna Marra, 2017. "Data envelopment analysis in financial services: a citations network analysis of banks, insurance companies and money market funds," Annals of Operations Research, Springer, vol. 253(1), pages 307-344, June.
    7. Douglas K. R. Robinson & Antoine Schoen & Philippe Larédo & Jordi Molas Gallart & Philine Warnke & Stefan Kuhlmann & Gonzalo Ordóñez-Matamoros, 2021. "Policy lensing of future-oriented strategic intelligence: An experiment connecting foresight with decision making contexts," Post-Print hal-03232913, HAL.
    8. Xiaozan Lyu & Ping Zhou & Loet Leydesdorff, 2020. "Eco-system mapping of techno-science linkages at the level of scholarly journals and fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2037-2055, September.
    9. Muhammad Omar & Arif Mehmood & Gyu Sang Choi & Han Woo Park, 2017. "Global mapping of artificial intelligence in Google and Google Scholar," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(3), pages 1269-1305, December.
    10. Ying Huang & Wolfgang Glänzel & Lin Zhang, 2021. "Tracing the development of mapping knowledge domains," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 6201-6224, July.
    11. Loet Leydesdorff & Inga Ivanova, 2021. "The measurement of “interdisciplinarity” and “synergy” in scientific and extra‐scientific collaborations," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(4), pages 387-402, April.
    12. Luqi Wang & Xiaolong Xue & Zebin Zhao & Zeyu Wang, 2018. "The Impacts of Transportation Infrastructure on Sustainable Development: Emerging Trends and Challenges," IJERPH, MDPI, vol. 15(6), pages 1-24, June.
    13. Alba Santa Soriano & Carolina Lorenzo Álvarez & Rosa María Torres Valdés, 2018. "Bibliometric analysis to identify an emerging research area: Public Relations Intelligence—a challenge to strengthen technological observatories in the network society," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(3), pages 1591-1614, June.
    14. Loet Leydesdorff & Jordan A. Comins & Aaron A. Sorensen & Lutz Bornmann & Iina Hellsten, 2016. "Cited references and Medical Subject Headings (MeSH) as two different knowledge representations: clustering and mappings at the paper level," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 2077-2091, December.
    15. Santiago Ruiz-Navas & Kumiko Miyazaki, 2018. "A complement to lexical query’s search-term selection for emerging technologies: the case of “big data”," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(1), pages 141-162, October.
    16. Comins, Jordan A. & Carmack, Stephanie A. & Leydesdorff, Loet, 2018. "Patent citation spectroscopy (PCS): Online retrieval of landmark patents based on an algorithmic approach," Journal of Informetrics, Elsevier, vol. 12(4), pages 1223-1231.
    17. Robinson, Douglas K.R. & Schoen, Antoine & Larédo, Philippe & Gallart, Jordi Molas & Warnke, Philine & Kuhlmann, Stefan & Ordóñez-Matamoros, Gonzalo, 2021. "Policy lensing of future-oriented strategic intelligence: An experiment connecting foresight with decision making contexts," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    18. Payam Hanafizadeh & Seyedali Marjaie, 2020. "Trends and turning points of banking: a timespan view," Review of Managerial Science, Springer, vol. 14(6), pages 1183-1219, December.
    19. Wang, Zhinan & Porter, Alan L. & Wang, Xuefeng & Carley, Stephen, 2019. "An approach to identify emergent topics of technological convergence: A case study for 3D printing," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 723-732.
    20. Wooseok Jang & Yongtae Park & Hyeonju Seol, 2021. "Identifying emerging technologies using expert opinions on the future: A topic modeling and fuzzy clustering approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(8), pages 6505-6532, August.
    21. Carè, R. & Fatima, R. & Boitan, I.A., 2024. "Central banks and climate risks: Where we are and where we are going?," International Review of Economics & Finance, Elsevier, vol. 92(C), pages 1200-1229.
    22. Alina Irina Popescu, 2020. "Long-Term City Innovation Trajectories and Quality of Urban Life," Sustainability, MDPI, vol. 12(24), pages 1-19, December.
    23. Ying Huang & Donghua Zhu & Qi Lv & Alan L. Porter & Douglas K. R. Robinson & Xuefeng Wang, 2017. "Early insights on the Emerging Sources Citation Index (ESCI): an overlay map-based bibliometric study," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 2041-2057, June.
    24. Block, Carolin & Wustmans, Michael & Laibach, Natalie & Bröring, Stefanie, 2021. "Semantic bridging of patents and scientific publications – The case of an emerging sustainability-oriented technology," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    25. Siriram, Rajenlall, 2022. "An innovative approach to overcoming technological challenges and improving firm performance in South Africa," Technology in Society, Elsevier, vol. 68(C).
    26. Huang, Ying & Porter, Alan L. & Zhang, Yi & Lian, Xiangpeng & Guo, Ying, 2019. "An assessment of technology forecasting: Revisiting earlier analyses on dye-sensitized solar cells (DSSCs)," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 831-843.

  33. Loet Leydesdorff & Adina Nerghes, 2017. "Co-word maps and topic modeling: A comparison using small and medium-sized corpora (N > 1,000)," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(4), pages 1024-1035, April.

    Cited by:

    1. Yan Zhihua & Tang Xijin, 2020. "Exploring Evolution of Public Opinions on Tianya Club Using Dynamic Topic Models," Journal of Systems Science and Information, De Gruyter, vol. 8(4), pages 309-324, August.
    2. Thelwall, Mike & Bailey, Carol & Tobin, Catherine & Bradshaw, Noel-Ann, 2019. "Gender differences in research areas, methods and topics: Can people and thing orientations explain the results?," Journal of Informetrics, Elsevier, vol. 13(1), pages 149-169.
    3. Lowe, David & Espinosa, Angela & Yearworth, Mike, 2020. "Constitutive rules for guiding the use of the viable system model: Reflections on practice," European Journal of Operational Research, Elsevier, vol. 287(3), pages 1014-1035.
    4. Torres-Salinas, Daniel & Romero-Frías, Esteban & Arroyo-Machado, Wenceslao, 2019. "Mapping the backbone of the Humanities through the eyes of Wikipedia," Journal of Informetrics, Elsevier, vol. 13(3), pages 793-803.
    5. Katchanov, Yurij L. & Markova, Yulia V., 2022. "Dynamics of senses of new physics discourse: Co-keywords analysis," Journal of Informetrics, Elsevier, vol. 16(1).
    6. Loet Leydesdorff & Caroline S. Wagner & Lutz Bornmann, 2018. "Betweenness and diversity in journal citation networks as measures of interdisciplinarity—A tribute to Eugene Garfield," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(2), pages 567-592, February.
    7. Wenceslao Arroyo-Machado & Daniel Torres-Salinas & Enrique Herrera-Viedma & Esteban Romero-Frías, 2020. "Science through Wikipedia: A novel representation of open knowledge through co-citation networks," PLOS ONE, Public Library of Science, vol. 15(2), pages 1-20, February.

  34. Ivanova, Inga & Strand, Øivind & Kushnir, Duncan & Leydesdorff, Loet, 2017. "Economic and technological complexity: A model study of indicators of knowledge-based innovation systems," Technological Forecasting and Social Change, Elsevier, vol. 120(C), pages 77-89.
    See citations under working paper version above.
  35. Loet Leydesdorff & Lutz Bornmann & Caroline S. Wagner, 2017. "Generating clustered journal maps: an automated system for hierarchical classification," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(3), pages 1601-1614, March.

    Cited by:

    1. Loet Leydesdorff & Dieter Franz Kogler & Bowen Yan, 2017. "Mapping patent classifications: portfolio and statistical analysis, and the comparison of strengths and weaknesses," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1573-1591, September.
    2. Xiaozan Lyu & Ping Zhou & Loet Leydesdorff, 2020. "Eco-system mapping of techno-science linkages at the level of scholarly journals and fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2037-2055, September.
    3. Shu-Chun Kuo & Tsair-Wei Chien & Willy Chou, 2023. "Questions to the article: Generating clustered journal maps: an automated system for hierarchical classification," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(4), pages 2615-2617, April.
    4. Sjögårde, Peter & Ahlgren, Per, 2018. "Granularity of algorithmically constructed publication-level classifications of research publications: Identification of topics," Journal of Informetrics, Elsevier, vol. 12(1), pages 133-152.
    5. Kumar, Satish & Rao, Sandeep & Goyal, Kirti & Goyal, Nisha, 2022. "Journal of Behavioral and Experimental Finance: A bibliometric overview," Journal of Behavioral and Experimental Finance, Elsevier, vol. 34(C).
    6. H. Kent Baker & Satish Kumar & Kirti Goyal & Prashant Gupta, 2023. "International journal of finance and economics: A bibliometric overview," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(1), pages 9-46, January.
    7. Zhang, Baolong & Wang, Hao & Deng, Sanhong & Su, Xinning, 2020. "Measurement and analysis of Chinese journal discriminative capacity," Journal of Informetrics, Elsevier, vol. 14(1).
    8. Carlos Olmeda-Gómez & Carlos Romá-Mateo & Maria-Antonia Ovalle-Perandones, 2019. "Overview of trends in global epigenetic research (2009–2017)," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(3), pages 1545-1574, June.
    9. Yurij L. Katchanov & Yulia V. Markova, 2017. "The “space of physics journals”: topological structure and the Journal Impact Factor," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(1), pages 313-333, October.
    10. Loet Leydesdorff & Caroline S. Wagner & Lutz Bornmann, 2018. "Betweenness and diversity in journal citation networks as measures of interdisciplinarity—A tribute to Eugene Garfield," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(2), pages 567-592, February.
    11. Katchanov, Yurij L. & Markova, Yulia V. & Shmatko, Natalia A., 2019. "The distinction machine: Physics journals from the perspective of the Kolmogorov–Smirnov statistic," Journal of Informetrics, Elsevier, vol. 13(4).

  36. Jordan A. Comins & Loet Leydesdorff, 2017. "Identification of long-term concept-symbols among citations: Do common intellectual histories structure citation behavior?," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(5), pages 1224-1233, May.

    Cited by:

    1. Chakraborty, Joyita & Pradhan, Dinesh K. & Nandi, Subrata, 2024. "A multiple k-means cluster ensemble framework for clustering citation trajectories," Journal of Informetrics, Elsevier, vol. 18(2).
    2. Robin Haunschild & Lutz Bornmann, 2022. "Reference publication year spectroscopy (RPYS) in practice: a software tutorial," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7253-7271, December.

  37. Loet Leydesdorff & Wouter Nooy, 2017. "Can “hot spots” in the sciences be mapped using the dynamics of aggregated journal–journal citation Relations?," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(1), pages 197-213, January.

    Cited by:

    1. Shu-Hao Chang, 2024. "International Technology Market Hotspots and Development Trends from the Perspective of Inventor Mobility," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(1), pages 2361-2382, March.
    2. Muhammad Omar & Arif Mehmood & Gyu Sang Choi & Han Woo Park, 2017. "Global mapping of artificial intelligence in Google and Google Scholar," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(3), pages 1269-1305, December.

  38. Jordan A. Comins & Loet Leydesdorff, 2017. "Citation algorithms for identifying research milestones driving biomedical innovation," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(3), pages 1495-1504, March.

    Cited by:

    1. Comins, Jordan A. & Carmack, Stephanie A. & Leydesdorff, Loet, 2018. "Patent citation spectroscopy (PCS): Online retrieval of landmark patents based on an algorithmic approach," Journal of Informetrics, Elsevier, vol. 12(4), pages 1223-1231.
    2. Mariani, Manuel Sebastian & Medo, Matúš & Lafond, François, 2019. "Early identification of important patents: Design and validation of citation network metrics," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 644-654.
    3. Xue Wang & Xuemei Yang & Jian Du & Xuwen Wang & Jiao Li & Xiaoli Tang, 2021. "A deep learning approach for identifying biomedical breakthrough discoveries using context analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 5531-5549, July.

  39. Bornmann, Lutz & Leydesdorff, Loet, 2017. "Skewness of citation impact data and covariates of citation distributions: A large-scale empirical analysis based on Web of Science data," Journal of Informetrics, Elsevier, vol. 11(1), pages 164-175.

    Cited by:

    1. Manuel Marques-Cruz & Daniel Martinho Dias & João A. Fonseca & Bernardo Sousa-Pinto, 2024. "Ten year citation prediction model for systematic reviews using early years citation data," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(8), pages 4847-4862, August.
    2. Lutz Bornmann & Adam Y. Ye & Fred Y. Ye, 2018. "Identifying “hot papers” and papers with “delayed recognition” in large-scale datasets by using dynamically normalized citation impact scores," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(2), pages 655-674, August.
    3. Zehra Taşkın, 2021. "Forecasting the future of library and information science and its sub-fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 1527-1551, February.
    4. Gerson Pech & Catarina Delgado, 2020. "Percentile and stochastic-based approach to the comparison of the number of citations of articles indexed in different bibliographic databases," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(1), pages 223-252, April.
    5. Raminta Pranckutė, 2021. "Web of Science (WoS) and Scopus: The Titans of Bibliographic Information in Today’s Academic World," Publications, MDPI, vol. 9(1), pages 1-59, March.
    6. Heng Huang & Donghua Zhu & Xuefeng Wang, 2022. "Evaluating scientific impact of publications: combining citation polarity and purpose," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(9), pages 5257-5281, September.
    7. Yaxue Ma & Zhichao Ba & Yuxiang Zhao & Jin Mao & Gang Li, 2021. "Understanding and predicting the dissemination of scientific papers on social media: a two-step simultaneous equation modeling–artificial neural network approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(8), pages 7051-7085, August.
    8. Lutz Bornmann & Klaus Wohlrabe, 2019. "Normalisation of citation impact in economics," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(2), pages 841-884, August.
    9. Giovanni Abramo & Ciriaco Andrea D’Angelo & Flavia Costa, 2023. "Correlating article citedness and journal impact: an empirical investigation by field on a large-scale dataset," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(3), pages 1877-1894, March.
    10. Giuseppe Pernagallo, 2023. "Science in the mist: A model of asymmetric information for the research market," Metroeconomica, Wiley Blackwell, vol. 74(2), pages 390-415, May.
    11. Abramo, Giovanni & D’Angelo, Ciriaco Andrea & Soldatenkova, Anastasiia, 2017. "An investigation on the skewness patterns and fractal nature of research productivity distributions at field and discipline level," Journal of Informetrics, Elsevier, vol. 11(1), pages 324-335.
    12. Sergio Jimenez & Youlin Avila & George Dueñas & Alexander Gelbukh, 2020. "Automatic prediction of citability of scientific articles by stylometry of their titles and abstracts," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 3187-3232, December.
    13. Yangping Zhou, 2021. "Self-citation and citation of top journal publishers and their interpretation in the journal-discipline context," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 6013-6040, July.
    14. Lanu Kim & Jason H. Portenoy & Jevin D. West & Katherine W. Stovel, 2020. "Scientific journals still matter in the era of academic search engines and preprint archives," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 71(10), pages 1218-1226, October.
    15. Wang, Jue & Zhang, Liwei, 2018. "Proximal advantage in knowledge diffusion: The time dimension," Journal of Informetrics, Elsevier, vol. 12(3), pages 858-867.
    16. Lutz Bornmann & Klaus Wohlrabe, 2019. "Die Normierung von Zitaten in der Volkswirtschaftslehre," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 72(20), pages 29-33, October.
    17. Katchanov, Yurij L. & Markova, Yulia V. & Shmatko, Natalia A., 2023. "Uncited papers in the structure of scientific communication," Journal of Informetrics, Elsevier, vol. 17(2).
    18. Juan Xie & Kaile Gong & Ying Cheng & Qing Ke, 2019. "The correlation between paper length and citations: a meta-analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 763-786, March.
    19. Antonoyiannakis, Manolis, 2018. "Impact Factors and the Central Limit Theorem: Why citation averages are scale dependent," Journal of Informetrics, Elsevier, vol. 12(4), pages 1072-1088.
    20. Hans-Dieter Daniel, 2019. "Lutz Bornmann: Recipient of the 2019 Derek John de Solla Price Medal," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(3), pages 1235-1238, December.
    21. Tobias Kiesslich & Marlena Beyreis & Georg Zimmermann & Andreas Traweger, 2021. "Citation inequality and the Journal Impact Factor: median, mean, (does it) matter?," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 1249-1269, February.

  40. Øivind Strand & Inga Ivanova & Loet Leydesdorff, 2017. "Decomposing the Triple-Helix synergy into the regional innovation systems of Norway: firm data and patent networks," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(3), pages 963-988, May.

    Cited by:

    1. Yee Yee Sein & Viktor Prokop, 2021. "Mediating Role of Firm R&D in Creating Product and Process Innovation: Empirical Evidence from Norway," Economies, MDPI, vol. 9(2), pages 1-16, April.
    2. Zhang, Yi & Chen, Kaihua & Fu, Xiaolan, 2019. "Scientific effects of Triple Helix interactions among research institutes, industries and universities," Technovation, Elsevier, vol. 86, pages 33-47.
    3. Maxim Kotsemir, 2019. "Unmanned aerial vehicles research in Scopus: an analysis and visualization of publication activity and research collaboration at the country level," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(4), pages 2143-2173, July.
    4. Tao Zhuang & Zhixia Zhou & Qingjun Li, 2021. "University‐industry‐government triple helix relationship and regional innovation efficiency in China," Growth and Change, Wiley Blackwell, vol. 52(1), pages 349-370, March.

  41. Loet Leydesdorff & Dieter Franz Kogler & Bowen Yan, 2017. "Mapping patent classifications: portfolio and statistical analysis, and the comparison of strengths and weaknesses," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1573-1591, September.

    Cited by:

    1. Dalziel, Margaret & Basir, Nada, 2024. "The technological imprinting of educational experiences on student startups," Research Policy, Elsevier, vol. 53(2).
    2. Stefano Basilico & Holger Graf, 2023. "Bridging technologies in the regional knowledge space: measurement and evolution," Journal of Evolutionary Economics, Springer, vol. 33(4), pages 1085-1124, September.
    3. Lee, Changjun & Shin, Hyunha & Kim, Keungoui & Kogler, Dieter F., 2022. "The effects of regional capacity in knowledge recombination on production efficiency," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    4. Choi, Seokkyu & Lee, Hyeonju & Park, Eunjeong & Choi, Sungchul, 2022. "Deep learning for patent landscaping using transformer and graph embedding," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    5. Nomaler, Önder & Verspagen, Bart, 2021. "Patent landscaping using 'green' technological trajectories," MERIT Working Papers 2021-005, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    6. Gerardo Tibaná-Herrera & María Teresa Fernández-Bajón & Félix Moya-Anegón, 2018. "Global analysis of the E-learning scientific domain: a declining category?," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(2), pages 675-685, February.
    7. Carolin Nast & Tom Broekel & Doris Entner, 2024. "Fueling the Fire? How Government Support Drives Technological Progress and Complexity," Papers in Evolutionary Economic Geography (PEEG) 2407, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Apr 2024.
    8. Gangan Prathap, 2019. "Balance: a thermodynamic perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(1), pages 247-255, April.
    9. Bernardo S. Buarque & Ronald B. Davies & Dieter Franz Kogler & Ryan M. Hynes, 2019. "OK Computer: The Creation and Integration of AI in Europe," Working Papers 201911, School of Economics, University College Dublin.
    10. Voss, Philipp S.R., 2022. "Innovation Performance in Healthcare M&A: An Empirical Analysis," Junior Management Science (JUMS), Junior Management Science e. V., vol. 7(4), pages 1164-1192.
    11. Loet Leydesdorff, 2018. "Diversity and interdisciplinarity: how can one distinguish and recombine disparity, variety, and balance?," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(3), pages 2113-2121, September.
    12. José Lobo & Deborah Strumsky, 2019. "Sources of inventive novelty: two patent classification schemas, same story," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(1), pages 19-37, July.
    13. Zhang, Lin & Sun, Mengting & Peng, Yujie & Zhao, Wenjing & Chen, Lixin & Huang, Ying, 2022. "How public investment fuels innovation: Clues from government-subsidized USPTO patents," Journal of Informetrics, Elsevier, vol. 16(3).
    14. Wang, Zhinan & Porter, Alan L. & Wang, Xuefeng & Carley, Stephen, 2019. "An approach to identify emergent topics of technological convergence: A case study for 3D printing," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 723-732.
    15. Konstantina Sdravopoulou & Juan Manuel Muñoz González & María Dolores Hidalgo-Ariza, 2021. "Educating Adults with a Location-Based Augmented Reality Game: A Content Analysis Approach," Mathematics, MDPI, vol. 9(17), pages 1-16, August.
    16. Shu-Hao Chang & Chin-Yuan Fan, 2020. "Using Patent Technology Networks to Observe Neurocomputing Technology Hotspots and Development Trends," Sustainability, MDPI, vol. 12(18), pages 1-15, September.
    17. Carlos Olmeda-Gómez & Carlos Romá-Mateo & Maria-Antonia Ovalle-Perandones, 2019. "Overview of trends in global epigenetic research (2009–2017)," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(3), pages 1545-1574, June.
    18. Leydesdorff, Loet & Wagner, Caroline S. & Bornmann, Lutz, 2019. "Interdisciplinarity as diversity in citation patterns among journals: Rao-Stirling diversity, relative variety, and the Gini coefficient," Journal of Informetrics, Elsevier, vol. 13(1), pages 255-269.
    19. Seunghyun Oh & Jaewoong Choi & Namuk Ko & Janghyeok Yoon, 2020. "Predicting product development directions for new product planning using patent classification-based link prediction," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 1833-1876, December.

  42. Johann Bauer & Loet Leydesdorff & Lutz Bornmann, 2016. "Highly cited papers in Library and Information Science (LIS): Authors, institutions, and network structures," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(12), pages 3095-3100, December.

    Cited by:

    1. Yu-Wei Chang, 2021. "Characteristics of high research performance authors in the field of library and information science and those of their articles," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 3373-3391, April.
    2. Xiaoguang Wang & Hongyu Wang & Han Huang, 2021. "Evolutionary exploration and comparative analysis of the research topic networks in information disciplines," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(6), pages 4991-5017, June.
    3. A. Velez-Estevez & P. García-Sánchez & J. A. Moral-Munoz & M. J. Cobo, 2022. "Why do papers from international collaborations get more citations? A bibliometric analysis of Library and Information Science papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7517-7555, December.
    4. Sepideh Fahimifar & Khadijeh Mousavi & Fatemeh Mozaffari & Marcel Ausloos, 2023. "Identification of the most important external features of highly cited scholarly papers through 3 (i.e., Ridge, Lasso, and Boruta) feature selection data mining methods," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(4), pages 3685-3712, August.

  43. A. I. M. Jakaria Rahman & Raf Guns & Loet Leydesdorff & Tim C. E. Engels, 2016. "Measuring the match between evaluators and evaluees: cognitive distances between panel members and research groups at the journal level," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 1639-1663, December.

    Cited by:

    1. Rousseau, Ronald & Guns, Raf & Rahman, A.I.M. Jakaria & Engels, Tim C.E., 2017. "Measuring cognitive distance between publication portfolios," Journal of Informetrics, Elsevier, vol. 11(2), pages 583-594.

  44. Loet Leydesdorff & Caroline Wagner & Lutz Bornmann, 2016. "Replicability and the public/private divide," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(7), pages 1777-1778, July.

    Cited by:

    1. Muhammad Omar & Arif Mehmood & Gyu Sang Choi & Han Woo Park, 2017. "Global mapping of artificial intelligence in Google and Google Scholar," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(3), pages 1269-1305, December.

  45. Loet Leydesdorff & Félix Moya-Anegón & Wouter Nooy, 2016. "Aggregated journal–journal citation relations in scopus and web of science matched and compared in terms of networks, maps, and interactive overlays," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(9), pages 2194-2211, September.

    Cited by:

    1. Raminta Pranckutė, 2021. "Web of Science (WoS) and Scopus: The Titans of Bibliographic Information in Today’s Academic World," Publications, MDPI, vol. 9(1), pages 1-59, March.
    2. Ying Huang & Wolfgang Glänzel & Lin Zhang, 2021. "Tracing the development of mapping knowledge domains," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 6201-6224, July.
    3. Geoff Woolcott & Dan Chamberlain & Zachary Hawes & Michelle Drefs & Catherine D. Bruce & Brent Davis & Krista Francis & David Hallowell & Lynn McGarvey & Joan Moss & Joanne Mulligan & Yukari Okamoto &, 2020. "The central position of education in knowledge mobilization: insights from network analyses of spatial reasoning research across disciplines," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2323-2347, December.
    4. Loet Leydesdorff & Caroline S. Wagner & Lutz Bornmann, 2018. "Discontinuities in citation relations among journals: self-organized criticality as a model of scientific revolutions and change," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 623-644, July.
    5. Philip Shapira & Seokbeom Kwon & Jan Youtie, 2017. "Tracking the emergence of synthetic biology," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1439-1469, September.
    6. Magnus Eriksson & Annika Billhult & Tommy Billhult & Elena Pallari & Grant Lewison, 2020. "A new database of the references on international clinical practice guidelines: a facility for the evaluation of clinical research," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(2), pages 1221-1235, February.
    7. Xinyuan Zhang & Qing Xie & Chaemin Song & Min Song, 2022. "Mining the evolutionary process of knowledge through multiple relationships between keywords," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(4), pages 2023-2053, April.
    8. Hernández-Escobedo, Quetzalcoatl & Perea-Moreno, Alberto-Jesús & Manzano-Agugliaro, Francisco, 2018. "Wind energy research in Mexico," Renewable Energy, Elsevier, vol. 123(C), pages 719-729.

  46. Loet Leydesdorff & Jordan A. Comins & Aaron A. Sorensen & Lutz Bornmann & Iina Hellsten, 2016. "Cited references and Medical Subject Headings (MeSH) as two different knowledge representations: clustering and mappings at the paper level," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 2077-2091, December.

    Cited by:

    1. Fei Shu & Jesse David Dinneen & Shiji Chen, 2022. "Measuring the disparity among scientific disciplines using Library of Congress Subject Headings," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(6), pages 3613-3628, June.
    2. Xu, Jianguo & Guo, Lixiang & Jiang, Jiang & Ge, Bingfeng & Li, Mengjun, 2019. "A deep learning methodology for automatic extraction and discovery of technical intelligence," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 339-351.
    3. Randelys Molina Castro & Maria Victoria Guzmán Sánchez & Yaidelyn Macías Rivero & Romel Calero Ramos & Ivet Álvarez Díaz, 2018. "Global and Latin American scientific production related to pneumococcal vaccines," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(3), pages 1549-1559, June.
    4. Hwang, Seonho & Shin, Juneseuk, 2019. "Extending technological trajectories to latest technological changes by overcoming time lags," Technological Forecasting and Social Change, Elsevier, vol. 143(C), pages 142-153.

  47. Loet Leydesdorff & Gaston Heimeriks & Daniele Rotolo, 2016. "Journal portfolio analysis for countries, cities, and organizations: Maps and comparisons," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(3), pages 741-748, March.
    See citations under working paper version above.
  48. Thor, Andreas & Marx, Werner & Leydesdorff, Loet & Bornmann, Lutz, 2016. "Introducing CitedReferencesExplorer (CRExplorer): A program for reference publication year spectroscopy with cited references standardization," Journal of Informetrics, Elsevier, vol. 10(2), pages 503-515.

    Cited by:

    1. Muriel Dal Pont Legrand & Martina Cioni & Eugenio Petrovich & Alberto Baccini, 2022. "Is There Cross-fertilization in Macroeconomics? A Quantitative Exploration of the Interactions between DSGE and Macro Agent-Based Models," GREDEG Working Papers 2022-25, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    2. Wang, Yajie & Hou, Haiyan & Hu, Zhigang, 2021. "‘To tweet or not to tweet?’ A study of the use of Twitter by scholarly book publishers in Social Sciences and Humanities," Journal of Informetrics, Elsevier, vol. 15(3).
    3. Andy Wai Kan Yeung & Ioana Mozos, 2020. "The Innovative and Sustainable Use of Dental Panoramic Radiographs for the Detection of Osteoporosis," IJERPH, MDPI, vol. 17(7), pages 1-11, April.
    4. Jianhua Hou, 2017. "Exploration into the evolution and historical roots of citation analysis by referenced publication year spectroscopy," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(3), pages 1437-1452, March.
    5. Werner Marx & Robin Haunschild & Andreas Thor & Lutz Bornmann, 2017. "Which early works are cited most frequently in climate change research literature? A bibliometric approach based on Reference Publication Year Spectroscopy," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(1), pages 335-353, January.
    6. Anton Gruber & Alexander Tekles & Lutz Bornmann, 2023. "John Mearsheimer’s academic roots: a reference publication year spectroscopy of a political scientist’s oeuvre," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(7), pages 3867-3877, July.
    7. Lutz Bornmann & Robin Haunschild & Loet Leydesdorff, 2018. "Reference publication year spectroscopy (RPYS) of Eugene Garfield’s publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(2), pages 439-448, February.
    8. Adil El Aichouchi & Philippe Gorry, 2018. "Delayed recognition of Judah Folkman’s hypothesis on tumor angiogenesis: when a Prince awakens a Sleeping Beauty by self-citation," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 385-399, July.
    9. Andreas Thor & Lutz Bornmann & Werner Marx & Rüdiger Mutz, 2018. "Identifying single influential publications in a research field: new analysis opportunities of the CRExplorer," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 591-608, July.
    10. K. Brad Wray & Søren R. Paludan & Lutz Bornmann & Robin Haunschild, 2024. "Using Reference Publication Year Spectroscopy (RPYS) to analyze the research and publication culture in immunology," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(6), pages 3271-3283, June.
    11. Loet Leydesdorff & Jordan A. Comins & Aaron A. Sorensen & Lutz Bornmann & Iina Hellsten, 2016. "Cited references and Medical Subject Headings (MeSH) as two different knowledge representations: clustering and mappings at the paper level," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 2077-2091, December.
    12. Werner Marx & Lutz Bornmann, 2016. "Change of perspective: bibliometrics from the point of view of cited references—a literature overview on approaches to the evaluation of cited references in bibliometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 1397-1415, November.
    13. Chembessi Chedrak & Gohoungodji Paulin & Juste Rajaonson, 2023. "“A fine wine, better with age”: Circular economy historical roots and influential publications: A bibliometric analysis using Reference Publication Year Spectroscopy (RPYS)," Journal of Industrial Ecology, Yale University, vol. 27(6), pages 1593-1612, December.
    14. Leydesdorff, Loet & Bornmann, Lutz, 2021. "Disruption indices and their calculation using web-of-science data: Indicators of historical developments or evolutionary dynamics?," Journal of Informetrics, Elsevier, vol. 15(4).
    15. Muriel Dal-Pont Legrand & Martina Cioni & Eugenio Petrovich & Alberto Baccini, 2022. "Is there cross-fertilization in macroeconomics? . Version 2," Working Papers halshs-03741035, HAL.
    16. Matthieu Ballandonne & Igor Cersosimo, 2021. "A note on reference publication year spectroscopy with incomplete information," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(6), pages 4927-4939, June.
    17. Liang, Guoqiang & Hou, Haiyan & Ding, Ying & Hu, Zhigang, 2020. "Knowledge recency to the birth of Nobel Prize-winning articles: Gender, career stage, and country," Journal of Informetrics, Elsevier, vol. 14(3).
    18. Alhoori, Hamed & Furuta, Richard, 2017. "Recommendation of scholarly venues based on dynamic user interests," Journal of Informetrics, Elsevier, vol. 11(2), pages 553-563.
    19. Andreas Thor & Werner Marx & Loet Leydesdorff & Lutz Bornmann, 2016. "New features of CitedReferencesExplorer (CRExplorer)," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 2049-2051, December.
    20. Comins, Jordan A. & Carmack, Stephanie A. & Leydesdorff, Loet, 2018. "Patent citation spectroscopy (PCS): Online retrieval of landmark patents based on an algorithmic approach," Journal of Informetrics, Elsevier, vol. 12(4), pages 1223-1231.
    21. Robin Haunschild & Werner Marx, 2022. "On Health Effects of Resveratrol in Wine," IJERPH, MDPI, vol. 19(5), pages 1-13, March.
    22. Massimo Franceschet & Giovanni Colavizza, 2020. "Quantifying the higher-order influence of scientific publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 951-963, November.
    23. Werner Marx & Robin Haunschild & Bernie French & Lutz Bornmann, 2017. "Slow reception and under-citedness in climate change research: A case study of Charles David Keeling, discoverer of the risk of global warming," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(2), pages 1079-1092, August.
    24. Wei Cheng & Dejun Zheng & Shaoxiong Fu & Jingfeng Cui, 2024. "Closer in time and higher correlation: disclosing the relationship between citation similarity and citation interval," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(7), pages 4495-4512, July.
    25. Robin Haunschild & Lutz Bornmann, 2022. "Reference publication year spectroscopy (RPYS) in practice: a software tutorial," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7253-7271, December.
    26. Lutz Bornmann & Loet Leydesdorff, 2020. "Historical roots of Judit Bar-Ilan’s research: a cited-references analysis using CRExplorer," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(3), pages 1193-1200, June.
    27. Wiarda, Martijn & van de Kaa, Geerten & Yaghmaei, Emad & Doorn, Neelke, 2021. "A comprehensive appraisal of responsible research and innovation: From roots to leaves," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
    28. Jordan A. Comins & Loet Leydesdorff, 2017. "Citation algorithms for identifying research milestones driving biomedical innovation," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(3), pages 1495-1504, March.
    29. Hans-Dieter Daniel, 2019. "Lutz Bornmann: Recipient of the 2019 Derek John de Solla Price Medal," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(3), pages 1235-1238, December.
    30. Mostafa, Mohamed M., 2022. "Five decades of catastrophe theory research: Geographical atlas, knowledge structure and historical roots," Chaos, Solitons & Fractals, Elsevier, vol. 159(C).
    31. McLevey, John & McIlroy-Young, Reid, 2017. "Introducing metaknowledge: Software for computational research in information science, network analysis, and science of science," Journal of Informetrics, Elsevier, vol. 11(1), pages 176-197.

  49. Loet Leydesdorff & Lutz Bornmann, 2016. "The operationalization of “fields” as WoS subject categories (WCs) in evaluative bibliometrics: The cases of “library and information science” and “science & technology studies”," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(3), pages 707-714, March.

    Cited by:

    1. Ricardo Arencibia-Jorge & Rosa Lidia Vega-Almeida & José Luis Jiménez-Andrade & Humberto Carrillo-Calvet, 2022. "Evolutionary stages and multidisciplinary nature of artificial intelligence research," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(9), pages 5139-5158, September.
    2. Juan Miguel Campanario, 2018. "Are leaders really leading? Journals that are first in Web of Science subject categories in the context of their groups," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(1), pages 111-130, April.
    3. Muhammad Omar & Arif Mehmood & Gyu Sang Choi & Han Woo Park, 2017. "Global mapping of artificial intelligence in Google and Google Scholar," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(3), pages 1269-1305, December.
    4. Raminta Pranckutė, 2021. "Web of Science (WoS) and Scopus: The Titans of Bibliographic Information in Today’s Academic World," Publications, MDPI, vol. 9(1), pages 1-59, March.
    5. Berndt Jesenko & Christian Schlögl, 2021. "The effect of web of science subject categories on clustering: the case of data-driven methods in business and economic sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(8), pages 6785-6801, August.
    6. Ole Ellegaard, 2018. "The application of bibliometric analysis: disciplinary and user aspects," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 181-202, July.
    7. Lutz Bornmann & Alexander Tekles & Loet Leydesdorff, 2019. "How well does I3 perform for impact measurement compared to other bibliometric indicators? The convergent validity of several (field-normalized) indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 1187-1205, May.
    8. Gerson Pech & Catarina Delgado & Silvio Paolo Sorella, 2022. "Classifying papers into subfields using Abstracts, Titles, Keywords and KeyWords Plus through pattern detection and optimization procedures: An application in Physics," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(11), pages 1513-1528, November.
    9. Caroline S. Wagner & Lin Zhang & Loet Leydesdorff, 2022. "A discussion of measuring the top-1% most-highly cited publications: quality and impact of Chinese papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(4), pages 1825-1839, April.
    10. Lin Zhang & Beibei Sun & Fei Shu & Ying Huang, 2022. "Comparing paper level classifications across different methods and systems: an investigation of Nature publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7633-7651, December.
    11. Hu, Zhigang & Tian, Wencan & Xu, Shenmeng & Zhang, Chunbo & Wang, Xianwen, 2018. "Four pitfalls in normalizing citation indicators: An investigation of ESI’s selection of highly cited papers," Journal of Informetrics, Elsevier, vol. 12(4), pages 1133-1145.
    12. Leydesdorff, Loet & Bornmann, Lutz & Zhou, Ping, 2016. "Construction of a pragmatic base line for journal classifications and maps based on aggregated journal-journal citation relations," Journal of Informetrics, Elsevier, vol. 10(4), pages 902-918.
    13. Loet Leydesdorff & Lutz Bornmann & Caroline S. Wagner, 2017. "Generating clustered journal maps: an automated system for hierarchical classification," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(3), pages 1601-1614, March.
    14. Werner Marx & Lutz Bornmann, 2016. "Change of perspective: bibliometrics from the point of view of cited references—a literature overview on approaches to the evaluation of cited references in bibliometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 1397-1415, November.
    15. Gabriel-Alexandru Vȋiu & Mihai Păunescu, 2021. "The lack of meaningful boundary differences between journal impact factor quartiles undermines their independent use in research evaluation," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 1495-1525, February.
    16. Fan, Yangliu & Lehmann, Sune & Blok, Anders, 2022. "Extracting the interdisciplinary specialty structures in social media data-based research: A clustering-based network approach," Journal of Informetrics, Elsevier, vol. 16(3).
    17. Rons, Nadine, 2018. "Bibliometric approximation of a scientific specialty by combining key sources, title words, authors and references," Journal of Informetrics, Elsevier, vol. 12(1), pages 113-132.
    18. Raf Guns & Linda Sīle & Joshua Eykens & Frederik T. Verleysen & Tim C. E. Engels, 2018. "A comparison of cognitive and organizational classification of publications in the social sciences and humanities," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(2), pages 1093-1111, August.
    19. Roberto Camerani & Daniele Rotolo & Nicola Grassano, 2018. "Do Firms Publish? A Multi-Sectoral Analysis," SPRU Working Paper Series 2018-21, SPRU - Science Policy Research Unit, University of Sussex Business School.
    20. Waltman, Ludo, 2016. "A review of the literature on citation impact indicators," Journal of Informetrics, Elsevier, vol. 10(2), pages 365-391.
    21. Lutz Bornmann & Loet Leydesdorff, 2018. "Count highly-cited papers instead of papers with h citations: use normalized citation counts and compare “like with like”!," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(2), pages 1119-1123, May.
    22. Shu, Fei & Julien, Charles-Antoine & Zhang, Lin & Qiu, Junping & Zhang, Jing & Larivière, Vincent, 2019. "Comparing journal and paper level classifications of science," Journal of Informetrics, Elsevier, vol. 13(1), pages 202-225.
    23. Araújo, Tanya & Fontainha, Elsa, 2017. "The specific shapes of gender imbalance in scientific authorships: A network approach," Journal of Informetrics, Elsevier, vol. 11(1), pages 88-102.
    24. Fei Shu & Yue Ma & Junping Qiu & Vincent Larivière, 2020. "Classifications of science and their effects on bibliometric evaluations," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2727-2744, December.
    25. Loet Leydesdorff & Caroline S. Wagner & Lutz Bornmann, 2018. "Betweenness and diversity in journal citation networks as measures of interdisciplinarity—A tribute to Eugene Garfield," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(2), pages 567-592, February.
    26. Loet Leydesdorff & Paul Wouters & Lutz Bornmann, 2016. "Professional and citizen bibliometrics: complementarities and ambivalences in the development and use of indicators—a state-of-the-art report," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 2129-2150, December.
    27. Tove Faber Frandsen & Jeppe Nicolaisen, 2017. "Rejoinder: Noble prize effects in citation networks," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(12), pages 2844-2845, December.
    28. Juan Miguel Campanario, 2018. "Journals that Rise from the Fourth Quartile to the First Quartile in Six Years or Less: Mechanisms of Change and the Role of Journal Self-Citations," Publications, MDPI, vol. 6(4), pages 1-15, November.
    29. Shir Aviv-Reuven & Ariel Rosenfeld, 2023. "A logical set theory approach to journal subject classification analysis: intra-system irregularities and inter-system discrepancies in Web of Science and Scopus," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(1), pages 157-175, January.
    30. Wooseok Jang & Heeyeul Kwon & Yongtae Park & Hakyeon Lee, 2018. "Predicting the degree of interdisciplinarity in academic fields: the case of nanotechnology," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 231-254, July.
    31. Arlette Jappe, 2020. "Professional standards in bibliometric research evaluation? A meta-evaluation of European assessment practice 2005–2019," PLOS ONE, Public Library of Science, vol. 15(4), pages 1-23, April.

  50. Leydesdorff, Loet & Bornmann, Lutz & Zhou, Ping, 2016. "Construction of a pragmatic base line for journal classifications and maps based on aggregated journal-journal citation relations," Journal of Informetrics, Elsevier, vol. 10(4), pages 902-918.

    Cited by:

    1. David Berlepsch & Fred Lemke & Matthew Gorton, 2024. "The Importance of Corporate Reputation for Sustainable Supply Chains: A Systematic Literature Review, Bibliometric Mapping, and Research Agenda," Journal of Business Ethics, Springer, vol. 189(1), pages 9-34, January.
    2. Zhao, Yi & Liu, Lifan & Zhang, Chengzhi, 2022. "Is coronavirus-related research becoming more interdisciplinary? A perspective of co-occurrence analysis and diversity measure of scientific articles," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    3. Raminta Pranckutė, 2021. "Web of Science (WoS) and Scopus: The Titans of Bibliographic Information in Today’s Academic World," Publications, MDPI, vol. 9(1), pages 1-59, March.
    4. Baccini, Federica & Barabesi, Lucio & Baccini, Alberto & Khelfaoui, Mahdi & Gingras, Yves, 2022. "Similarity network fusion for scholarly journals," Journal of Informetrics, Elsevier, vol. 16(1).
    5. Gerson Pech & Catarina Delgado & Silvio Paolo Sorella, 2022. "Classifying papers into subfields using Abstracts, Titles, Keywords and KeyWords Plus through pattern detection and optimization procedures: An application in Physics," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(11), pages 1513-1528, November.
    6. Xie, Yundong & Wu, Qiang & Zhang, Peng & Li, Xingchen, 2020. "Information Science and Library Science (IS-LS) journal subject categorisation and comparison based on editorship information," Journal of Informetrics, Elsevier, vol. 14(4).
    7. Loet Leydesdorff & Lutz Bornmann & Caroline S. Wagner, 2017. "Generating clustered journal maps: an automated system for hierarchical classification," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(3), pages 1601-1614, March.
    8. Zhang, Baolong & Wang, Hao & Deng, Sanhong & Su, Xinning, 2020. "Measurement and analysis of Chinese journal discriminative capacity," Journal of Informetrics, Elsevier, vol. 14(1).

  51. Petersen, Alexander M. & Rotolo, Daniele & Leydesdorff, Loet, 2016. "A triple helix model of medical innovation: Supply, demand, and technological capabilities in terms of Medical Subject Headings," Research Policy, Elsevier, vol. 45(3), pages 666-681.

    Cited by:

    1. Alexander Petersen & Daniele Rotolo & Loet Leydesdor, 2016. "A Triple Helix Model of Medical Innovation: Supply, Demand, and Technological Capabilities in terms of Medical Subject Headings," SPRU Working Paper Series 2016-01, SPRU - Science Policy Research Unit, University of Sussex Business School.
    2. Loet Leydesdorff & Igone Porto-Gomez, 2019. "Measuring the expected synergy in Spanish regional and national systems of innovation," The Journal of Technology Transfer, Springer, vol. 44(1), pages 189-209, February.
    3. Nicola Grassano & Daniele Rotolo & Joshua Hutton & Frédérique Lang & Michael M. Hopkins, 2017. "Funding Data from Publication Acknowledgments: Coverage, Uses, and Limitations," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(4), pages 999-1017, April.
    4. Wang, Xuefeng & Zhang, Shuo & Liu, Yuqin & Du, Jian & Huang, Heng, 2021. "How pharmaceutical innovation evolves: The path from science to technological development to marketable drugs," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    5. Ivanova, Inga & Strand, Øivind & Kushnir, Duncan & Leydesdorff, Loet, 2017. "Economic and technological complexity: A model study of indicators of knowledge-based innovation systems," Technological Forecasting and Social Change, Elsevier, vol. 120(C), pages 77-89.
    6. Inga Ivanova & Nataliya Smorodinskaya & Loet Leydesdorff, 2020. "On measuring complexity in a post-industrial economy: the ecosystem’s approach," Quality & Quantity: International Journal of Methodology, Springer, vol. 54(1), pages 197-212, February.
    7. Hoppmann, Joern, 2021. "Hand in hand to Nowhereland? How the resource dependence of research institutes influences their co-evolution with industry," Research Policy, Elsevier, vol. 50(2).
    8. Yuti Ariani Fatimah & Saurabh Arora, 2016. "Nonhumans in the Practice of Development: Material Agency and Friction in a Small-Scale Energy Program in Indonesia," SPRU Working Paper Series 2016-04, SPRU - Science Policy Research Unit, University of Sussex Business School.
    9. Ke, Qing, 2020. "An analysis of the evolution of science-technology linkage in biomedicine," Journal of Informetrics, Elsevier, vol. 14(4).
    10. Ávila-Robinson, Alfonso & Islam, Nazrul & Sengoku, Shintaro, 2019. "Co-evolutionary and systemic study on the evolution of emerging stem cell-based therapies," Technological Forecasting and Social Change, Elsevier, vol. 138(C), pages 324-339.
    11. Loet Leydesdorff & Jordan A. Comins & Aaron A. Sorensen & Lutz Bornmann & Iina Hellsten, 2016. "Cited references and Medical Subject Headings (MeSH) as two different knowledge representations: clustering and mappings at the paper level," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 2077-2091, December.
    12. Li, Xin & Tang, Xuli, 2021. "Characterizing interdisciplinarity in drug research: A translational science perspective," Journal of Informetrics, Elsevier, vol. 15(4).
    13. Ben Martin, 2016. "What is Happening to our Universities?," SPRU Working Paper Series 2016-03, SPRU - Science Policy Research Unit, University of Sussex Business School.
    14. Proksch, Dorian & Busch-Casler, Julia & Haberstroh, Marcus Max & Pinkwart, Andreas, 2019. "National health innovation systems: Clustering the OECD countries by innovative output in healthcare using a multi indicator approach," Research Policy, Elsevier, vol. 48(1), pages 169-179.
    15. Ryosuke L. Ohniwa & Kunio Takeyasu & Aiko Hibino, 2022. "Researcher dynamics in the generation of emerging topics in life sciences and medicine," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(2), pages 871-884, February.
    16. Yaqub, Ohid & Coburn, Josie & Moore, Duncan A.Q., 2023. "Knowledge spillovers from HIV research-funding," SocArXiv gcuhn, Center for Open Science.
    17. François Lafond & Daniel Kim, 2019. "Long-run dynamics of the U.S. patent classification system," Journal of Evolutionary Economics, Springer, vol. 29(2), pages 631-664, April.
    18. Altaf, Aqsa & Hassan, Ibn e & Batool, Sana, 2019. "The role of ORIC in the evolution of the triple helix culture of innovation: The case of Pakistan," Technology in Society, Elsevier, vol. 56(C), pages 157-166.
    19. Inga Ivanova & Øivind Strand & Loet Leydesdorff, 2019. "What Is the Effect of Synergy Provided by International Collaborations on Regional Economies?," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 10(1), pages 18-34, March.
    20. Ryosuke L. Ohniwa & Aiko Hibino, 2019. "Generating process of emerging topics in the life sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(3), pages 1549-1561, December.
    21. Jordan A. Comins & Loet Leydesdorff, 2017. "Citation algorithms for identifying research milestones driving biomedical innovation," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(3), pages 1495-1504, March.
    22. Matthew L. Wallace & Ismael Rafols, 2016. "Shaping the Agenda of a Grand Challenge: Institutional Mediation of Priorities in Avian Influenza Research," SPRU Working Paper Series 2016-02, SPRU - Science Policy Research Unit, University of Sussex Business School.
    23. Kevin W. Boyack, 2017. "Thesaurus-based methods for mapping contents of publication sets," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 1141-1155, May.
    24. Alexander M. Petersen & Mohammed E. Ahmed & Ioannis Pavlidis, 2021. "Grand challenges and emergent modes of convergence science," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-15, December.
    25. Porto-Gomez, Igone & Zabala-Iturriagagoitia, Jon Mikel & Leydesdorff, Loet, 2019. "Innovation systems in México: A matter of missing synergies," Technological Forecasting and Social Change, Elsevier, vol. 148(C).
    26. Alexander Michael & Felber Arroyave & Ioannis Pavlidis, 2023. "Methods for measuring social and conceptual dimensions of convergence science," Research Evaluation, Oxford University Press, vol. 32(2), pages 256-272.

  52. Andreas Thor & Werner Marx & Loet Leydesdorff & Lutz Bornmann, 2016. "New features of CitedReferencesExplorer (CRExplorer)," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 2049-2051, December.

    Cited by:

    1. Robin Haunschild & Werner Marx, 2022. "On Health Effects of Resveratrol in Wine," IJERPH, MDPI, vol. 19(5), pages 1-13, March.

  53. Qiuju Zhou & Loet Leydesdorff, 2016. "The normalization of occurrence and Co-occurrence matrices in bibliometrics using Cosine similarities and Ochiai coefficients," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(11), pages 2805-2814, November.

    Cited by:

    1. Hyejin Park & Han Woo Park, 2018. "Two-side face of knowledge building using scientometric analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(6), pages 2815-2836, November.
    2. Fengbao Liu & Xigang Zhu & Jianshu Li & Jie Sun & Qinshi Huang, 2019. "Progress of Gentrification Research in China: A Bibliometric Review," Sustainability, MDPI, vol. 11(2), pages 1-28, January.
    3. García-Lillo, Francisco & Seva-Larrosa, Pedro & Sánchez-García, Eduardo, 2024. "On the basis of research on ‘green’ in the disciplines of management and business," Journal of Business Research, Elsevier, vol. 172(C).
    4. García-Lillo, Francisco & Seva-Larrosa, Pedro & Sánchez-García, Eduardo, 2023. "What is going on in entrepreneurship research? A bibliometric and SNA analysis," Journal of Business Research, Elsevier, vol. 158(C).
    5. Zhang, Ronda J. & Ye, Fred Y., 2020. "Measuring similarity for clarifying layer difference in multiplex ad hoc duplex information networks," Journal of Informetrics, Elsevier, vol. 14(1).
    6. Shakibian, Hadi & Charkari, Nasrollah Moghadam, 2018. "Statistical similarity measures for link prediction in heterogeneous complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 501(C), pages 248-263.
    7. Zaida Chinchilla-Rodríguez & Yi Bu & Nicolás Robinson-García & Cassidy R. Sugimoto, 2021. "An empirical review of the different variants of the probabilistic affinity index as applied to scientific collaboration," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 1775-1795, February.
    8. Chabowski, Brian R. & Samiee, Saeed, 2023. "A bibliometric examination of the literature on emerging market MNEs as the basis for future research," Journal of Business Research, Elsevier, vol. 155(PB).

  54. Ping Zhou & Robert Tijssen & Loet Leydesdorff, 2016. "University-Industry Collaboration in China and the USA: A Bibliometric Comparison," PLOS ONE, Public Library of Science, vol. 11(11), pages 1-18, November.

    Cited by:

    1. Luigi Aldieri & Gennaro Guida & Maxim Kotsemir & Concetto Paolo Vinci, 2019. "An investigation of impact of research collaboration on academic performance in Italy," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(4), pages 2003-2040, July.
    2. Jyoti Paswan & Vivek Kumar Singh & Mousumi Karmakar & Prashasti Singh, 2022. "Does university–industry–government collaboration in research gets higher citation and altmetric impact? A case study from India," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(11), pages 6063-6082, November.
    3. Wenwen Shen & Yuankun Nie & Chao Long & Zibo Song & Qian Zhang & Decai Tang, 2022. "Research on the Mechanism of Collaborative Value Co-Creation of Enterprise–Science Community: A Case Study Based on the Green Brand Maoduoli," Sustainability, MDPI, vol. 14(22), pages 1-19, November.
    4. Borah, Dhruba & Massini, Silvia & Malik, Khaleel, 2023. "Teaching benefits of multi-helix university-industry research collaborations: Towards a holistic framework," Research Policy, Elsevier, vol. 52(8).
    5. Yongli Tang & Kazuyuki Motohashi & Xinyue Hu & Angeles Montoro-Sanchez, 2020. "University-industry interaction and product innovation performance of Guangdong manufacturing firms: the roles of regional proximity and research quality of universities," The Journal of Technology Transfer, Springer, vol. 45(2), pages 578-618, April.
    6. Frimpong J. Alex & Gangfeng Tan & Philip K. Agyeman & Prince O. Ansah & Isaac O. Olayode & Jamshid V. Fayzullayevich & Shuang Liang, 2022. "Bibliometric Network Analysis of Trends in Cyclone Separator Research: Research Gaps and Future Direction," Sustainability, MDPI, vol. 14(22), pages 1-22, November.
    7. Sergio Salles-Filho & Adriana Bin & Kleinsy Bonilla & Fernando Antonio Basile Colugnati, 2021. "Effectiveness by Design: Overcoming Orientation and Transaction Related Barriers in Research-Industry Linkages," RAC - Revista de Administração Contemporânea (Journal of Contemporary Administration), ANPAD - Associação Nacional de Pós-Graduação e Pesquisa em Administração, vol. 25(5), pages 190346-1903.

  55. Loet Leydesdorff & Paul Wouters & Lutz Bornmann, 2016. "Professional and citizen bibliometrics: complementarities and ambivalences in the development and use of indicators—a state-of-the-art report," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 2129-2150, December.

    Cited by:

    1. Manuel Marques-Cruz & Daniel Martinho Dias & João A. Fonseca & Bernardo Sousa-Pinto, 2024. "Ten year citation prediction model for systematic reviews using early years citation data," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(8), pages 4847-4862, August.
    2. Gregorio González-Alcaide, 2021. "Bibliometric studies outside the information science and library science field: uncontainable or uncontrollable?," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(8), pages 6837-6870, August.
    3. Hamdi A. Al-Jamimi & Galal M. BinMakhashen & Lutz Bornmann & Yousif Ahmed Al Wajih, 2023. "Saudi Arabia research: academic insights and trend analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(10), pages 5595-5627, October.
    4. Bornmann, Lutz & Leydesdorff, Loet, 2017. "Skewness of citation impact data and covariates of citation distributions: A large-scale empirical analysis based on Web of Science data," Journal of Informetrics, Elsevier, vol. 11(1), pages 164-175.
    5. Gerald Schweiger & Adrian Barnett & Peter van den Besselaar & Lutz Bornmann & Andreas De Block & John P. A. Ioannidis & Ulf Sandstrom & Stijn Conix, 2024. "The Costs of Competition in Distributing Scarce Research Funds," Papers 2403.16934, arXiv.org.
    6. Bornmann, Lutz & Tekles, Alexander, 2021. "Convergent validity of several indicators measuring disruptiveness with milestone assignments to physics papers by experts," Journal of Informetrics, Elsevier, vol. 15(3).
    7. Andersen, Jens Peter, 2017. "An empirical and theoretical critique of the Euclidean index," Journal of Informetrics, Elsevier, vol. 11(2), pages 455-465.
    8. Benedetto Lepori & Aldo Geuna & Antonietta Mira, 2019. "Scientific output scales with resources. A comparison of US and European universities," PLOS ONE, Public Library of Science, vol. 14(10), pages 1-18, October.
    9. Raminta Pranckutė, 2021. "Web of Science (WoS) and Scopus: The Titans of Bibliographic Information in Today’s Academic World," Publications, MDPI, vol. 9(1), pages 1-59, March.
    10. Alicia Moreno-Delgado & Juan Gorraiz & Rafael Repiso, 2021. "Assessing the publication output on country level in the research field communication using Garfield’s Impact Factor," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 5983-6000, July.
    11. Ole Ellegaard, 2018. "The application of bibliometric analysis: disciplinary and user aspects," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 181-202, July.
    12. Bornmann, Lutz & Marx, Werner, 2018. "Critical rationalism and the search for standard (field-normalized) indicators in bibliometrics," Journal of Informetrics, Elsevier, vol. 12(3), pages 598-604.
    13. Gordana Budimir & Sophia Rahimeh & Sameh Tamimi & Primož Južnič, 2021. "Comparison of self-citation patterns in WoS and Scopus databases based on national scientific production in Slovenia (1996–2020)," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(3), pages 2249-2267, March.
    14. Lutz Bornmann & Julian N. Marewski, 2019. "Heuristics as conceptual lens for understanding and studying the usage of bibliometrics in research evaluation," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(2), pages 419-459, August.
    15. Alonso Rodríguez-Navarro & Ricardo Brito, 2019. "Probability and expected frequency of breakthroughs: basis and use of a robust method of research assessment," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(1), pages 213-235, April.
    16. Lauranne Chaignon & Domingo Docampo & Daniel Egret, 2023. "In search of a scientific elite: highly cited researchers (HCR) in France," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(10), pages 5801-5827, October.
    17. Sven Helmer & David B. Blumenthal & Kathrin Paschen, 2020. "What is meaningful research and how should we measure it?," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 153-169, October.
    18. Eugenio Petrovich, 2022. "Bibliometrics in Press. Representations and uses of bibliometric indicators in the Italian daily newspapers," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(5), pages 2195-2233, May.
    19. Bornmann, Lutz & Williams, Richard, 2017. "Can the journal impact factor be used as a criterion for the selection of junior researchers? A large-scale empirical study based on ResearcherID data," Journal of Informetrics, Elsevier, vol. 11(3), pages 788-799.
    20. Sabrina Petersohn & Thomas Heinze, 2018. "Professionalization of bibliometric research assessment. Insights from the history of the Leiden Centre for Science and Technology Studies (CWTS)," Science and Public Policy, Oxford University Press, vol. 45(4), pages 565-578.
    21. Mike Thelwall & Kayvan Kousha, 2021. "Researchers’ attitudes towards the h-index on Twitter 2007–2020: criticism and acceptance," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(6), pages 5361-5368, June.
    22. Gabriel-Alexandru Vȋiu & Mihai Păunescu, 2021. "The lack of meaningful boundary differences between journal impact factor quartiles undermines their independent use in research evaluation," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 1495-1525, February.
    23. Jeppe Nicolaisen & Tove Faber Frandsen, 2022. "Epistemic community formation: a bibliometric study of recurring authors in medical journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(7), pages 4167-4189, July.
    24. Yves Fassin, 2020. "The HF-rating as a universal complement to the h-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 965-990, November.
    25. Tatiana Marina & Ivan Sterligov, 2021. "Prevalence of potentially predatory publishing in Scopus on the country level," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(6), pages 5019-5077, June.
    26. Bornmann, Lutz & Haunschild, Robin & Mutz, Rüdiger, 2020. "Should citations be field-normalized in evaluative bibliometrics? An empirical analysis based on propensity score matching," Journal of Informetrics, Elsevier, vol. 14(4).
    27. Katja Rost & Thorsten Teichert & Alan Pilkington, 2017. "Social network analytics for advanced bibliometrics: referring to actor roles of management journals instead of journal rankings," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1631-1657, September.
    28. Alessandro Margherita & Gianluca Elia & Claudio Petti, 2022. "What Is Quality in Research? Building a Framework of Design, Process and Impact Attributes and Evaluation Perspectives," Sustainability, MDPI, vol. 14(5), pages 1-18, March.
    29. Lutz Bornmann & Loet Leydesdorff, 2018. "Count highly-cited papers instead of papers with h citations: use normalized citation counts and compare “like with like”!," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(2), pages 1119-1123, May.
    30. Yurij L. Katchanov & Yulia V. Markova, 2017. "The “space of physics journals”: topological structure and the Journal Impact Factor," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(1), pages 313-333, October.
    31. Lutz Bornmann & Robin Haunschild, 2018. "Plots for visualizing paper impact and journal impact of single researchers in a single graph," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(1), pages 385-394, April.
    32. Jochen Gläser & Wolfgang Glänzel & Andrea Scharnhorst, 2017. "Same data—different results? Towards a comparative approach to the identification of thematic structures in science," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 981-998, May.
    33. Gabriel-Alexandru Vîiu & Mihai Păunescu, 2021. "The citation impact of articles from which authors gained monetary rewards based on journal metrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(6), pages 4941-4974, June.
    34. Dag W. Aksnes & Liv Langfeldt & Paul Wouters, 2019. "Citations, Citation Indicators, and Research Quality: An Overview of Basic Concepts and Theories," SAGE Open, , vol. 9(1), pages 21582440198, February.
    35. Anne K. Krüger, 2020. "Quantification 2.0? Bibliometric Infrastructures in Academic Evaluation," Politics and Governance, Cogitatio Press, vol. 8(2), pages 58-67.
    36. Loet Leydesdorff & Lutz Bornmann & Jonathan Adams, 2019. "The integrated impact indicator revisited (I3*): a non-parametric alternative to the journal impact factor," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(3), pages 1669-1694, June.
    37. Elías Sanz-Casado & Daniela Filippo & Rafael Aleixandre Benavent & Vidar Røeggen & Janne Pölönen, 2021. "Impact and visibility of Norwegian, Finnish and Spanish journals in the fields of humanities," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(11), pages 9031-9049, November.
    38. Brito, Ricardo & Rodríguez-Navarro, Alonso, 2019. "Evaluating research and researchers by the journal impact factor: Is it better than coin flipping?," Journal of Informetrics, Elsevier, vol. 13(1), pages 314-324.
    39. Katchanov, Yurij L. & Markova, Yulia V. & Shmatko, Natalia A., 2019. "The distinction machine: Physics journals from the perspective of the Kolmogorov–Smirnov statistic," Journal of Informetrics, Elsevier, vol. 13(4).

  56. Han Woo Park & Jungwon Yoon & Loet Leydesdorff, 2016. "The normalization of co-authorship networks in the bibliometric evaluation: the government stimulation programs of China and Korea," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 1017-1036, November.

    Cited by:

    1. Han Woo Park & Jungwon Yoon, 2019. "Structural characteristics of institutional collaboration in North Korea analyzed through domestic publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 771-787, May.
    2. Fatima Baji & Ismail Mostafavi & Parastoo Parsaei-Mohammadi & Zivar Sabaghinejad, 2021. "Partnership ability and co-authorship network of information literacy field," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(9), pages 8205-8216, September.
    3. Hyejin Park & Han Woo Park, 2018. "Two-side face of knowledge building using scientometric analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(6), pages 2815-2836, November.
    4. Christian Schneijderberg & Nicolai Götze & Lars Müller, 2022. "A study of 25 years of publication outputs in the German academic profession," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(1), pages 1-28, January.
    5. Srijana Acharya & Han Woo Park, 2017. "Open data in Nepal: a webometric network analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(3), pages 1027-1043, May.
    6. Wang, Qiang & Li, Rongrong, 2017. "Research status of shale gas: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 715-720.
    7. Joonha Jeon & So Young Kim, 2018. "Is the gap widening among universities? On research output inequality and its measurement in the Korean higher education system," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(2), pages 589-606, March.
    8. Jesus Palomo & Cristina Figueroa-Domecq & Pilar Laguna, 2017. "Women, peace and security state-of-art: a bibliometric analysis in social sciences based on SCOPUS database," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(1), pages 123-148, October.
    9. Kim Holmberg & Han Woo Park, 2018. "An altmetric investigation of the online visibility of South Korea-based scientific journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(1), pages 603-613, October.
    10. Ana León-Gómez & Jorge Alexander Mora Forero & Jose Manuel Santos-Jaén, 2023. "A Bibliometric Analysis of Sustainability Education in Tourism Universities," SAGE Open, , vol. 13(3), pages 21582440231, August.
    11. Sandra Miguel & Claudia M. González & Zaida Chinchilla-Rodríguez, 2024. "Towards a new approach to analyzing the geographical scope of national research. An exploratory analysis at the country level," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(7), pages 3659-3679, July.
    12. Perianes-Rodriguez, Antonio & Waltman, Ludo & van Eck, Nees Jan, 2016. "Constructing bibliometric networks: A comparison between full and fractional counting," Journal of Informetrics, Elsevier, vol. 10(4), pages 1178-1195.
    13. Lili Yuan & Yanni Hao & Minglu Li & Chunbing Bao & Jianping Li & Dengsheng Wu, 2018. "Who are the international research collaboration partners for China? A novel data perspective based on NSFC grants," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 401-422, July.
    14. Jungwon Yoon & Joshua SungWoo Yang & Han Woo Park, 2017. "Quintuple helix structure of Sino-Korean research collaboration in science," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(1), pages 61-81, October.
    15. Zaida Chinchilla-Rodríguez & Yi Bu & Nicolás Robinson-García & Cassidy R. Sugimoto, 2021. "An empirical review of the different variants of the probabilistic affinity index as applied to scientific collaboration," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 1775-1795, February.
    16. Ruimin Pei & Langqiu Li & Yiying Yang & Quan Zhou, 2024. "Co-evolution of international scientific mobility and international collaboration: a Scopus-based analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(7), pages 4353-4378, July.
    17. Weiai Wayne Xu & Han Woo Park, 2017. "Versatile networks in combining qualitative and quantitative data," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(3), pages 959-961, May.
    18. Muñoz-Écija, Teresa & Vargas-Quesada, Benjamín & Chinchilla Rodríguez, Zaida, 2019. "Coping with methods for delineating emerging fields: Nanoscience and nanotechnology as a case study," Journal of Informetrics, Elsevier, vol. 13(4).
    19. Minsoo Choi & Heejin Lee & Hanah Zoo, 2021. "Scientific knowledge production and research collaboration between Australia and South Korea: patterns and dynamics based on co-authorship," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 683-706, January.

  57. Daniele Rotolo & Loet Leydesdorff, 2015. "Matching Medline/PubMed data with Web of Science: A routine in R language," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(10), pages 2155-2159, October.

    Cited by:

    1. Daniele Rotolo & Michael Hopkins & Nicola Grassano, 2023. "Do funding sources complement or substitute? Examining the impact of cancer research publications," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 74(1), pages 50-66, January.
    2. Wallace, Matthew L. & Ràfols, Ismael, 2018. "Institutional shaping of research priorities: A case study on avian influenza," Research Policy, Elsevier, vol. 47(10), pages 1975-1989.
    3. Nicola Grassano & Daniele Rotolo & Joshua Hutton & Frédérique Lang & Michael M. Hopkins, 2017. "Funding Data from Publication Acknowledgments: Coverage, Uses, and Limitations," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(4), pages 999-1017, April.
    4. Loet Leydesdorff & Jordan A. Comins & Aaron A. Sorensen & Lutz Bornmann & Iina Hellsten, 2016. "Cited references and Medical Subject Headings (MeSH) as two different knowledge representations: clustering and mappings at the paper level," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 2077-2091, December.
    5. Loet Leydesdorff & Paul Wouters & Lutz Bornmann, 2016. "Professional and citizen bibliometrics: complementarities and ambivalences in the development and use of indicators—a state-of-the-art report," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 2129-2150, December.
    6. Matthew L. Wallace & Ismael Rafols, 2016. "Shaping the Agenda of a Grand Challenge: Institutional Mediation of Priorities in Avian Influenza Research," SPRU Working Paper Series 2016-02, SPRU - Science Policy Research Unit, University of Sussex Business School.

  58. Loet Leydesdorff, 2015. "Can technology life-cycles be indicated by diversity in patent classifications? The crucial role of variety," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1441-1451, December.

    Cited by:

    1. Ronald Rousseau, 2018. "The repeat rate: from Hirschman to Stirling," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 645-653, July.
    2. Zhao Qu & Shanshan Zhang & Chunbo Zhang, 2017. "Patent research in the field of library and information science: Less useful or difficult to explore?," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(1), pages 205-217, April.
    3. We Shim & Oh-jin Kwon & Yeong-ho Moon & Keun-hwan Kim, 2016. "Understanding the Dynamic Convergence Phenomenon from the Perspective of Diversity and Persistence: A Cross-Sector Comparative Analysis between the United States and South Korea," PLOS ONE, Public Library of Science, vol. 11(7), pages 1-29, July.
    4. Zhang, Lin & Sun, Mengting & Peng, Yujie & Zhao, Wenjing & Chen, Lixin & Huang, Ying, 2022. "How public investment fuels innovation: Clues from government-subsidized USPTO patents," Journal of Informetrics, Elsevier, vol. 16(3).
    5. Chang, Shu-Hao & Fan, Chin-Yuan, 2016. "Identification of the technology life cycle of telematics: A patent-based analytical perspective," Technological Forecasting and Social Change, Elsevier, vol. 105(C), pages 1-10.
    6. Deyu Li & Floor Alkemade & Koen Frenken & Gaston Heimeriks, 2023. "Catching up in clean energy technologies: a patent analysis," The Journal of Technology Transfer, Springer, vol. 48(2), pages 693-715, April.
    7. Loet Leydesdorff & Caroline S. Wagner & Lutz Bornmann, 2018. "Betweenness and diversity in journal citation networks as measures of interdisciplinarity—A tribute to Eugene Garfield," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(2), pages 567-592, February.
    8. Moro, Alberto & Boelman, Elisa & Joanny, Geraldine & Garcia, Juan Lopez, 2018. "A bibliometric-based technique to identify emerging photovoltaic technologies in a comparative assessment with expert review," Renewable Energy, Elsevier, vol. 123(C), pages 407-416.

  59. Mingers, John & Leydesdorff, Loet, 2015. "A review of theory and practice in scientometrics," European Journal of Operational Research, Elsevier, vol. 246(1), pages 1-19.

    Cited by:

    1. Lutz Bornmann & Robin Haunschild & Sven E. Hug, 2018. "Visualizing the context of citations referencing papers published by Eugene Garfield: a new type of keyword co-occurrence analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(2), pages 427-437, February.
    2. Gisleine Carmo & Luiz Flávio Felizardo & Valderí Castro Alcântara & Cristiane Aparecida Silva & José Willer Prado, 2023. "The impact of Jürgen Habermas’s scientific production: a scientometric review," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(3), pages 1853-1875, March.
    3. Deming Lin & Tianhui Gong & Wenbin Liu & Martin Meyer, 2020. "An entropy-based measure for the evolution of h index research," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2283-2298, December.
    4. Fargher, Neil & Wee, Marvin, 2019. "The impact of Ball and Brown (1968) on generations of research," Pacific-Basin Finance Journal, Elsevier, vol. 54(C), pages 55-72.
    5. Juan Ruiz-Rosero & Gustavo Ramirez-Gonzalez & Jesus Viveros-Delgado, 2019. "Software survey: ScientoPy, a scientometric tool for topics trend analysis in scientific publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(2), pages 1165-1188, November.
    6. Cosma, Simona & Rimo, Giuseppe & Torluccio, Giuseppe, 2023. "Knowledge mapping of model risk in banking," International Review of Financial Analysis, Elsevier, vol. 89(C).
    7. Blandy Pamplona Solis & Julio César Cruz Argüello & Leopoldo Gómez Barba & Mayra Polett Gurrola & Zakaryaa Zarhri & Danna Lizeth TrejoArroyo, 2019. "Bibliometric Analysis of the Mass Transport in a Gas Diffusion Layer in PEM Fuel Cells," Sustainability, MDPI, vol. 11(23), pages 1-18, November.
    8. Giovanni Abramo & Ciriaco Andrea D’Angelo, 2021. "A bibliometric methodology to unveil territorial inequities in the scientific wealth to combat COVID-19," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(8), pages 6601-6624, August.
    9. Wu, Hangyao & Xu, Zeshui & Skare, Marinko, 2022. "How do family businesses adapt to the rapid pace of globalization? a bibliometric analysis," Journal of Business Research, Elsevier, vol. 153(C), pages 59-74.
    10. Caitlin Drummond Otten & Baruch Fischhoff, 2022. "Assessing broader impacts of funded research: the US National Science Foundation v. Lamar Smith [What is Societal Impact of Research and How Can it Be Assessed? A Literature Survey]," Science and Public Policy, Oxford University Press, vol. 49(2), pages 313-323.
    11. Chen, Meiqian & Guo, Zhaoxia & Dong, Yucheng & Chiclana, Francisco & Herrera-Viedma, Enrique, 2021. "Citations optimal growth path: A tool to analyze sensitivity to citations of h-like indexes," Journal of Informetrics, Elsevier, vol. 15(4).
    12. Keeheon Lee, 2021. "A Systematic Review on Social Sustainability of Artificial Intelligence in Product Design," Sustainability, MDPI, vol. 13(5), pages 1-29, March.
    13. Laengle, Sigifredo & Merigó, José M. & Miranda, Jaime & Słowiński, Roman & Bomze, Immanuel & Borgonovo, Emanuele & Dyson, Robert G. & Oliveira, José Fernando & Teunter, Ruud, 2017. "Forty years of the European Journal of Operational Research: A bibliometric overview," European Journal of Operational Research, Elsevier, vol. 262(3), pages 803-816.
    14. Biró, Tamás S. & Telcs, András & Józsa, Máté & Néda, Zoltán, 2023. "Gintropic scaling of scientometric indexes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 618(C).
    15. Blanka Tundys & Tomasz Wiśniewski, 2023. "Renewable Energy Supply Chains—Text Mining and Co-Occurrence Analysis in the Context of the Sustainability," Energies, MDPI, vol. 16(12), pages 1-20, June.
    16. Juan Miguel Campanario, 2018. "Are leaders really leading? Journals that are first in Web of Science subject categories in the context of their groups," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(1), pages 111-130, April.
    17. Christopher Tirri & Hunter Swanson & Mahbubur Meenar, 2021. "Finding the “Heart” in the Green: Conducting a Bibliometric Analysis to Emphasize the Need for Connecting Emotions with Biophilic Urban Planning," IJERPH, MDPI, vol. 18(18), pages 1-19, September.
    18. Steve J. Bickley & Ho Fai Chan & Benno Torgler, 2022. "Artificial intelligence in the field of economics," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(4), pages 2055-2084, April.
    19. Wang, Xinxin & Xu, Zeshui & Qin, Yong & Skare, Marinko, 2021. "Service networks for sustainable business: A dynamic evolution analysis over half a century," Journal of Business Research, Elsevier, vol. 136(C), pages 543-557.
    20. Boczek, Michał & Hovana, Anton & Hutník, Ondrej & Kaluszka, Marek, 2021. "New monotone measure-based integrals inspired by scientific impact problem," European Journal of Operational Research, Elsevier, vol. 290(1), pages 346-357.
    21. Raminta Pranckutė, 2021. "Web of Science (WoS) and Scopus: The Titans of Bibliographic Information in Today’s Academic World," Publications, MDPI, vol. 9(1), pages 1-59, March.
    22. Anastasia Adamou & Yiannis Georgiou & Demetra Paraskeva-Hadjichambi & Andreas Ch. Hadjichambis, 2021. "Environmental Citizen Science Initiatives as a Springboard towards the Education for Environmental Citizenship: A Systematic Literature Review of Empirical Research," Sustainability, MDPI, vol. 13(24), pages 1-29, December.
    23. Juan Miguel Campanario, 2017. "JIF-Plots: using plots of citations versus citable items as a tool to study journals and subject categories and discover new scientometric relationships," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(2), pages 1141-1154, November.
    24. Bornmann, Lutz & Butz, Alexander & Wohlrabe, Klaus, 2017. "What are the Top Five Journals in Economics? A New Meta–ranking," MPRA Paper 79176, University Library of Munich, Germany.
    25. Ryo Takahashi & Kenji Kaibe & Kazuyuki Suzuki & Sayaka Takahashi & Kotaro Takeda & Marc Hansen & Michiaki Yumoto, 2023. "New concept of the affinity between research fields using academic journal data in Scopus," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(6), pages 3507-3534, June.
    26. Biresh K Sahoo & Ramadhar Singh & Bineet Mishra & Krithiga Sankaran, 2015. "Research Productivity in Management Schools of India: A Directional Benefit-of-Doubt Model Analysis," Working Papers id:7139, eSocialSciences.
    27. Lutz Bornmann & Alexander Tekles & Loet Leydesdorff, 2019. "How well does I3 perform for impact measurement compared to other bibliometric indicators? The convergent validity of several (field-normalized) indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 1187-1205, May.
    28. Floris Goerlandt & Jie Li & Genserik Reniers, 2021. "The Landscape of Risk Perception Research: A Scientometric Analysis," Sustainability, MDPI, vol. 13(23), pages 1-26, November.
    29. Yanbo Zhou & Xin-Li Xu & Xu-Hua Yang & Qu Li, 2022. "The influence of disruption on evaluating the scientific significance of papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(10), pages 5931-5945, October.
    30. Damien Besancenot & Kim Huynh & Francisco Serranito, 2016. "Co-Authorship And Research Productivity In Economics: Assessing The Assortative Matching Hypothesis," Working Papers DT/2016/02, DIAL (Développement, Institutions et Mondialisation).
    31. Tian-Yuan Huang & Liangping Ding & Yong-Qiang Yu & Lei Huang & Liying Yang, 2023. "From AR5 to AR6: exploring research advancement in climate change based on scientific evidence from IPCC WGI reports," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(9), pages 5227-5245, September.
    32. Marta Kuc-Czarnecka & Magdalena Olczyk, 2020. "How ethics combine with big data: a bibliometric analysis," Palgrave Communications, Palgrave Macmillan, vol. 7(1), pages 1-9, December.
    33. Nasrin Mohabbati-Kalejahi & Mohammad Ali Alamdar Yazdi & Fadel M. Megahed & Sydney Y. Schaefer & Lara A. Boyd & Catherine E. Lang & Keith R. Lohse, 2017. "Streamlining science with structured data archives: insights from stroke rehabilitation," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(2), pages 969-983, November.
    34. Sigifredo Laengle & José M. Merigó & Nikunja Mohan Modak & Jian-Bo Yang, 2020. "Bibliometrics in operations research and management science: a university analysis," Annals of Operations Research, Springer, vol. 294(1), pages 769-813, November.
    35. Рубинштейн Александр Яковлевич, "undated". "Ранжирование Российских Экономических Журналов: Научный Метод Или «Игра В Цыфирь»? [Ran Ranking of Russian Economic Journals: The Scientific Method or “Numbers Game”?]," Working papers a:pru175:ye:2016:1, Institute of Economics.
    36. Lutz Bornmann & Klaus Wohlrabe, 2019. "Normalisation of citation impact in economics," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(2), pages 841-884, August.
    37. Mohadab, Mohamed El & Bouikhalene, Belaid & Safi, Said, 2020. "Bibliometric method for mapping the state of the art of scientific production in Covid-19," Chaos, Solitons & Fractals, Elsevier, vol. 139(C).
    38. Matthias Aistleitner & Jakob Kapeller & Stefan Steinerberger, 2018. "Citation Patterns in Economics and Beyond," Working Papers Series 85, Institute for New Economic Thinking.
    39. Yu-Peng Zhu & Han-Woo Park, 2022. "Use of Triangulation in Comparing the Blockchain Knowledge Structure between China and South Korea: Scientometric Network, Topic Modeling, and Prediction Technique," Sustainability, MDPI, vol. 14(4), pages 1-16, February.
    40. Mingchun Cao & Ilan Alon, 2020. "Intellectual Structure of the Belt and Road Initiative Research: A Scientometric Analysis and Suggestions for a Future Research Agenda," Sustainability, MDPI, vol. 12(17), pages 1-40, August.
    41. J. Israel Martínez-López & Samantha Barrón-González & Alejandro Martínez López, 2019. "Which Are the Tools Available for Scholars? A Review of Assisting Software for Authors during Peer Reviewing Process," Publications, MDPI, vol. 7(3), pages 1-28, September.
    42. Zhesi Shen & Liying Yang & Zengru Di & Jinshan Wu, 2019. "Large enough sample size to rank two groups of data reliably according to their means," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(2), pages 653-671, February.
    43. Xu, Shuqi & Mariani, Manuel Sebastian & Lü, Linyuan & Medo, Matúš, 2020. "Unbiased evaluation of ranking metrics reveals consistent performance in science and technology citation data," Journal of Informetrics, Elsevier, vol. 14(1).
    44. Giovanni Abramo & Ciriaco Andrea D’Angelo & Flavia Costa, 2023. "Correlating article citedness and journal impact: an empirical investigation by field on a large-scale dataset," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(3), pages 1877-1894, March.
    45. Fabian Scheidegger & Andre Briviba & Bruno S. Frey, 2023. "Behind the curtains of academic publishing: strategic responses of economists and business scholars," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(8), pages 4765-4790, August.
    46. Muhammad N. Mahmood & Subas P. Dhakal, 2023. "Ageing population and society: a scientometric analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(4), pages 3133-3150, August.
    47. Monachary Kammari & Durga Bhavani S, 2023. "Time-stamp based network evolution model for citation networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(6), pages 3723-3741, June.
    48. Bornmann, Lutz & Haunschild, Robin, 2016. "Citation score normalized by cited references (CSNCR): The introduction of a new citation impact indicator," Journal of Informetrics, Elsevier, vol. 10(3), pages 875-887.
    49. Chun-Yu Lin & Gui-Lin Dai & Su Wang & Xiu-Mei Fu, 2022. "The Evolution of Green Port Research: A Knowledge Mapping Analysis," Sustainability, MDPI, vol. 14(19), pages 1-25, September.
    50. Andreas Ch. Hadjichambis & Demetra Paraskeva-Hadjichambi & Eleni Sinakou & Anastasia Adamou & Yiannis Georgiou, 2022. "Green Cities for Environmental Citizenship: A Systematic Literature Review of Empirical Research from 31 Green Cities of the World," Sustainability, MDPI, vol. 14(23), pages 1-30, December.
    51. Minnu F. Pynadath & T. M. Rofin & Sam Thomas, 2023. "Evolution of customer relationship management to data mining-based customer relationship management: a scientometric analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(4), pages 3241-3272, August.
    52. Floris Goerlandt & Jie Li & Genserik Reniers, 2020. "The Landscape of Risk Communication Research: A Scientometric Analysis," IJERPH, MDPI, vol. 17(9), pages 1-31, May.
    53. Magdalena Mucowska, 2021. "Trends of Environmentally Sustainable Solutions of Urban Last-Mile Deliveries on the E-Commerce Market—A Literature Review," Sustainability, MDPI, vol. 13(11), pages 1-26, May.
    54. Naser Rashidi & Hussein Meihami, 2018. "Informetrics of Scientometrics abstracts: a rhetorical move analysis of the research abstracts published in Scientometrics journal," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(3), pages 1975-1994, September.
    55. Hui Yang & Xuexin Shao & Ming Wu, 2019. "A Review on Ecosystem Health Research: A Visualization Based on CiteSpace," Sustainability, MDPI, vol. 11(18), pages 1-19, September.
    56. Rita Rodríguez‐Arrojo & Manuel Luna & Camilo J. Vázquez‐Ordás & Myriam García‐Olalla, 2024. "Mapping research on corporate misconduct in banking: Lessons from literature on preventive and punitive actions," Global Policy, London School of Economics and Political Science, vol. 15(S1), pages 62-75, March.
    57. Giovanni Abramo & Ciriaco Andrea D’Angelo & Emanuela Reale, 2019. "Peer review versus bibliometrics: Which method better predicts the scholarly impact of publications?," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(1), pages 537-554, October.
    58. Zharova, Alona & Härdle, Wolfgang Karl & Lessmann, Stefan, 2017. "Is scientific performance a function of funds?," SFB 649 Discussion Papers 2017-028, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    59. Katchanov, Yurij L. & Markova, Yulia V., 2022. "Dynamics of senses of new physics discourse: Co-keywords analysis," Journal of Informetrics, Elsevier, vol. 16(1).
    60. Sergio Copiello, 2019. "Research Interest: another undisclosed (and redundant) algorithm by ResearchGate," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(1), pages 351-360, July.
    61. Giovanni Colavizza, 2017. "The structural role of the core literature in history," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(3), pages 1787-1809, December.
    62. Danielle Lee, 2023. "Bibliometric analysis of Asian ‘language and linguistics’ research: A case of 13 countries," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-23, December.
    63. Štěpán Jurajda & Stanislav Kozubek & Daniel Münich & Samuel Škoda, 2017. "Scientific publication performance in post-communist countries: still lagging far behind," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(1), pages 315-328, July.
    64. Wang, Xinxin & Qin, Yong & Xu, Zeshui & Škare, Marinko, 2022. "A look at the focus shift in innovation literature due to Covid-19 pandemic," Journal of Business Research, Elsevier, vol. 145(C), pages 1-20.
    65. Yanbo Zhou & Hongbing Cheng & Qu Li & Weihong Wang, 2020. "Diversity of temporal influence in popularity prediction of scientific publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(1), pages 383-392, April.
    66. Zharova, Alona & Härdle, Wolfgang Karl & Lessmann, Stefan, 2023. "Data-driven support for policy and decision-making in university research management: A case study from Germany," European Journal of Operational Research, Elsevier, vol. 308(1), pages 353-368.
    67. Md Abu Helal & Nathaniel Anderson & Yu Wei & Matthew Thompson, 2023. "A Review of Biomass-to-Bioenergy Supply Chain Research Using Bibliometric Analysis and Visualization," Energies, MDPI, vol. 16(3), pages 1-32, January.
    68. Bornmann, Lutz & Haunschild, Robin & Mutz, Rüdiger, 2020. "Should citations be field-normalized in evaluative bibliometrics? An empirical analysis based on propensity score matching," Journal of Informetrics, Elsevier, vol. 14(4).
    69. Yili Chen & Congdong Li & Han Wang, 2022. "Big Data and Predictive Analytics for Business Intelligence: A Bibliographic Study (2000–2021)," Forecasting, MDPI, vol. 4(4), pages 1-20, September.
    70. Caputo, Andrea & Pizzi, Simone & Pellegrini, Massimiliano M. & Dabić, Marina, 2021. "Digitalization and business models: Where are we going? A science map of the field," Journal of Business Research, Elsevier, vol. 123(C), pages 489-501.
    71. Nasim Gholami & Mojtaba ANSARI & Mohammadjavad MAHDAVINEJAD, 2018. "A Scientometric Review Of Citizen Participation Research: World Trend," Theoretical and Empirical Researches in Urban Management, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 13(3), pages 37-53, August.
    72. Han Zhang & Yongbo Lv & Jianwei Guo, 2022. "New Development Direction of Underground Logistics from the Perspective of Public Transport: A Systematic Review Based on Scientometrics," Sustainability, MDPI, vol. 14(6), pages 1-31, March.
    73. Elisa Baraibar-Diez & Manuel Luna & María D. Odriozola & Ignacio Llorente, 2020. "Mapping Social Impact: A Bibliometric Analysis," Sustainability, MDPI, vol. 12(22), pages 1-20, November.
    74. Jakob Kapeller & Matthias Aistleitner & Stefan Steinerberger, 2017. "Citation Patterns in Economics and Beyond: Assessing the Peculiarities of Economics from Two Scientometric Perspectives," ICAE Working Papers 60, Johannes Kepler University, Institute for Comprehensive Analysis of the Economy.
    75. Lutz Bornmann, 2015. "Letter to the Editor: On the conceptualisation and theorisation of the impact caused by publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(3), pages 1145-1148, June.
    76. Haunschild, Robin & Schier, Hermann & Marx, Werner & Bornmann, Lutz, 2018. "Algorithmically generated subject categories based on citation relations: An empirical micro study using papers on overall water splitting," Journal of Informetrics, Elsevier, vol. 12(2), pages 436-447.
    77. Lutz Bornmann & Klaus Wohlrabe, 2019. "Die Normierung von Zitaten in der Volkswirtschaftslehre," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 72(20), pages 29-33, October.
    78. Marzhan Beisenbina & Laura Fabregat‐Aibar & Maria‐Glòria Barberà‐Mariné & Maria‐Teresa Sorrosal‐Forradellas, 2023. "The burgeoning field of sustainable investment: Past, present and future," Sustainable Development, John Wiley & Sons, Ltd., vol. 31(2), pages 649-667, April.
    79. Minxi Wang & Ping Liu & Rui Zhang & Zhi Li & Xin Li, 2020. "A Scientometric Analysis of Global Health Research," IJERPH, MDPI, vol. 17(8), pages 1-19, April.
    80. Carlo Galli & Stefano Guizzardi, 2021. "The Effect of Article Characteristics on Citation Number in a Diachronic Dataset of the Biomedical Literature on Chronic Inflammation: An Analysis by Ensemble Machines," Publications, MDPI, vol. 9(2), pages 1-11, April.
    81. Hong-Hua Qiu & Lu-Ge Liu, 2018. "A Study on the Evolution of Carbon Capture and Storage Technology Based on Knowledge Mapping," Energies, MDPI, vol. 11(5), pages 1-25, May.
    82. Babajide Abubakr Muritala & Maria-Victoria Sánchez-Rebull & Ana-Beatriz Hernández-Lara, 2020. "A Bibliometric Analysis of Online Reviews Research in Tourism and Hospitality," Sustainability, MDPI, vol. 12(23), pages 1-18, November.
    83. Kayser, Victoria, 2017. "Comparing public and scientific discourse in the context of innovation systems," Technological Forecasting and Social Change, Elsevier, vol. 115(C), pages 348-357.
    84. Asli Ebru Şanlitürk & Samin Aref & Emilio Zagheni & Francesco C. Billari, 2022. "Homecoming after Brexit: evidence on academic migration from bibliometric data," MPIDR Working Papers WP-2022-019, Max Planck Institute for Demographic Research, Rostock, Germany.
    85. Merigó, José M. & Yang, Jian-Bo, 2017. "A bibliometric analysis of operations research and management science," Omega, Elsevier, vol. 73(C), pages 37-48.
    86. Jie Xue & Genserik Reniers & Jie Li & Ming Yang & Chaozhong Wu & P.H.A.J.M. van Gelder, 2021. "A Bibliometric and Visualized Overview for the Evolution of Process Safety and Environmental Protection," IJERPH, MDPI, vol. 18(11), pages 1-29, June.
    87. Ferdinando Toscano & Francesco Tommasi & Davide Giusino, 2022. "Burnout in Intensive Care Nurses during the COVID-19 Pandemic: A Scoping Review on Its Prevalence and Risk and Protective Factors," IJERPH, MDPI, vol. 19(19), pages 1-16, October.
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    89. Sergio Copiello, 2019. "The open access citation premium may depend on the openness and inclusiveness of the indexing database, but the relationship is controversial because it is ambiguous where the open access boundary lie," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(2), pages 995-1018, November.
    90. Alexey Lyutov & Yilmaz Uygun & Marc-Thorsten Hütt, 2021. "Machine learning misclassification of academic publications reveals non-trivial interdependencies of scientific disciplines," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 1173-1186, February.
    91. Kelly Andrea Aguirre & Diego Paredes Cuervo, 2023. "Water Safety and Water Governance: A Scientometric Review," Sustainability, MDPI, vol. 15(9), pages 1-16, April.
    92. Yao, Ye & Du, Huibin & Zou, Hongyang & Zhou, Peng & Antunes, Carlos Henggeler & Neumann, Anne & Yeh, Sonia, 2023. "Fifty years of Energy Policy: A bibliometric overview," Energy Policy, Elsevier, vol. 183(C).
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    94. Cheng Zhe & Chen Chen & Zheng Yueyang & Xiong Xiong & Tong Xiao, 2023. "Evaluation of Scientific Research in Universities Based on the Theories for Sustainable Competitive Advantage," SAGE Open, , vol. 13(2), pages 21582440231, June.
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    97. Andrea Bonaccorsi & Tindaro Cicero & Peter Haddawy & Saeed-UL Hassan, 2017. "Explaining the transatlantic gap in research excellence," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(1), pages 217-241, January.
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    100. Batista-Canino, Rosa M. & Santana-Hernández, Lidia & Medina-Brito, Pino, 2024. "A holistic literature review on entrepreneurial Intention: A scientometric approach," Journal of Business Research, Elsevier, vol. 174(C).
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    108. Huixin Wang & Jing Xie & Shixian Luo & Duy Thong Ta & Qian Wang & Jiao Zhang & Daer Su & Katsunori Furuya, 2023. "Exploring the Interplay between Landscape Planning and Human Well-Being: A Scientometric Review," Land, MDPI, vol. 12(7), pages 1-24, June.
    109. Yurij L. Katchanov & Yulia V. Markova, 2017. "The “space of physics journals”: topological structure and the Journal Impact Factor," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(1), pages 313-333, October.
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    111. Allahbakhsh, Mohammad & Amintoosi, Haleh & Behkamal, Behshid & Beheshti, Amin & Bertino, Elisa, 2021. "SCiMet: Stable, sCalable and reliable Metric-based framework for quality assessment in collaborative content generation systems," Journal of Informetrics, Elsevier, vol. 15(2).
    112. Abramo, Giovanni, 2018. "Revisiting the scientometric conceptualization of impact and its measurement," Journal of Informetrics, Elsevier, vol. 12(3), pages 590-597.
    113. Bingyao Jia & Yuting Chen & Jing Wu, 2021. "Bibliometric Analysis and Research Trend Forecast of Healthy Urban Planning for 40 Years (1981–2020)," IJERPH, MDPI, vol. 18(18), pages 1-25, September.
    114. Qian Wang & Shixian Luo & Jiao Zhang & Katsunori Furuya, 2022. "Increased Attention to Smart Development in Rural Areas: A Scientometric Analysis of Smart Village Research," Land, MDPI, vol. 11(8), pages 1-28, August.
    115. Antonio Perianes-Rodríguez & Carlos Olmeda-Gómez, 2019. "Effects of journal choice on the visibility of scientific publications: a comparison between subscription-based and full Open Access models," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(3), pages 1737-1752, December.
    116. Ana Teresa Santos & Cátia Miriam Costa & Luisa Delgado-Márquez & Raquel Maria Banheiro, 2023. "Analysing the Influence of WHO Initiatives on the Scientific Discourse of Noncommunicable Diseases through a Bibliometric Approach," IJERPH, MDPI, vol. 20(18), pages 1-14, September.
    117. Altarturi, Hamza H.M. & Saadoon, Muntadher & Anuar, Nor Badrul, 2020. "Cyber parental control: A bibliometric study," Children and Youth Services Review, Elsevier, vol. 116(C).
    118. Daniel J Hicks, 2016. "Bibliometrics for Social Validation," PLOS ONE, Public Library of Science, vol. 11(12), pages 1-15, December.
    119. Bornmann, Lutz & Ganser, Christian & Tekles, Alexander, 2022. "Simulation of the h index use at university departments within the bibliometrics-based heuristics framework: Can the indicator be used to compare individual researchers?," Journal of Informetrics, Elsevier, vol. 16(1).
    120. Aleskerov, F. & Badgaeva, D. & Pislyakov, V. & Sterligov, I. & Shvydun, S., 2016. "An Importance of Russian and International Economic Journals: a Network Approach," Journal of the New Economic Association, New Economic Association, vol. 30(2), pages 193-205.
    121. Benjamin Tawiah & Emmanuel A. Ofori & Fei Bin, 2023. "Scientometric Review of Sustainable Fire-Resistant Polysaccharide-Based Composite Aerogels," Sustainability, MDPI, vol. 15(16), pages 1-34, August.
    122. Tüselmann, Heinz & Sinkovics, Rudolf R. & Pishchulov, Grigory, 2016. "Revisiting the standing of international business journals in the competitive landscape," Journal of World Business, Elsevier, vol. 51(4), pages 487-498.
    123. Loet Leydesdorff & Paul Wouters & Lutz Bornmann, 2016. "Professional and citizen bibliometrics: complementarities and ambivalences in the development and use of indicators—a state-of-the-art report," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 2129-2150, December.
    124. Hans Jonker & Florian Vanlee & Walter Ysebaert, 2022. "Societal impact of university research in the written press: media attention in the context of SIUR and the open science agenda among social scientists in Flanders, Belgium," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7289-7306, December.
    125. Ruth Zárate-Rueda & Yolima Ivonne Beltrán-Villamizar & Daniella Murallas-Sánchez, 2021. "Social representations of socioenvironmental dynamics in extractive ecosystems and conservation practices with sustainable development: a bibliometric analysis," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(11), pages 16428-16453, November.
    126. Sandip Solanki & Seema Singh & Meeta Joshi, 2023. "A Bibliometric Analysis of the International Journal of Energy Economics and Policy: 2013-2022," International Journal of Energy Economics and Policy, Econjournals, vol. 13(5), pages 260-270, September.
    127. Hale Turhan Damar & Ozlem Bilik & Guzin Ozdagoglu & Askin Ozdagoglu & Muhammet Damar, 2018. "Evaluating the nursing academicians in Turkey in the scope of Web of Science: scientometrics of original articles," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(1), pages 539-562, April.
    128. António Correia & Hugo Paredes & Benjamim Fonseca, 2018. "Scientometric analysis of scientific publications in CSCW," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(1), pages 31-89, January.
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    136. Stephanie Jahn & Jens Newig & Daniel J. Lang & Judith Kahle & Matthias Bergmann, 2022. "Demarcating transdisciplinary research in sustainability science—Five clusters of research modes based on evidence from 59 research projects," Sustainable Development, John Wiley & Sons, Ltd., vol. 30(2), pages 343-357, April.
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    138. Lang Jia & Wenjuan Wang & Francis Zvomuya & Hailong He, 2024. "Trends in Soil Science over the Past Three Decades (1992–2022) Based on the Scientometric Analysis of 39 Soil Science Journals," Agriculture, MDPI, vol. 14(3), pages 1-32, March.
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  60. Bornmann, Lutz & Leydesdorff, Loet, 2015. "Does quality and content matter for citedness? A comparison with para-textual factors and over time," Journal of Informetrics, Elsevier, vol. 9(3), pages 419-429.

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    2. Drahomira Herrmannova & Robert M. Patton & Petr Knoth & Christopher G. Stahl, 2018. "Do citations and readership identify seminal publications?," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(1), pages 239-262, April.
    3. Bornmann, Lutz & Leydesdorff, Loet, 2017. "Skewness of citation impact data and covariates of citation distributions: A large-scale empirical analysis based on Web of Science data," Journal of Informetrics, Elsevier, vol. 11(1), pages 164-175.
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    8. Giovanni Abramo & Ciriaco Andrea D’Angelo & Leonardo Grilli, 2024. "The role of non-scientific factors vis-à-vis the quality of publications in determining their scholarly impact," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(8), pages 5003-5019, August.
    9. Houqiang Yu & Yue Wang & Shah Hussain & Haoyang Song, 2023. "Towards a better understanding of Facebook Altmetrics in LIS field: assessing the characteristics of involved paper, user and post," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(5), pages 3147-3170, May.
    10. Mingyang Wang & Shi Li & Guangsheng Chen, 2017. "Detecting latent referential articles based on their vitality performance in the latest 2 years," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1557-1571, September.
    11. Wang, Peiling & Su, Jing, 2021. "Post-publication expert recommendations in faculty opinions (F1000Prime): Recommended articles and citations," Journal of Informetrics, Elsevier, vol. 15(3).
    12. Weixi Xie & Pengfei Jia & Guangyao Zhang & Xianwen Wang, 2024. "Are reviewer scores consistent with citations?," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(8), pages 4721-4740, August.
    13. Mingyue Sun & Tingcan Ma & Lewei Zhou & Mingliang Yue, 2023. "Analysis of the relationships among paper citation and its influencing factors: a Bayesian network-based approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(5), pages 3017-3033, May.
    14. Juan Xie & Kaile Gong & Ying Cheng & Qing Ke, 2019. "The correlation between paper length and citations: a meta-analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 763-786, March.
    15. Mojisola Erdt & Aarthy Nagarajan & Sei-Ching Joanna Sin & Yin-Leng Theng, 2016. "Altmetrics: an analysis of the state-of-the-art in measuring research impact on social media," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 1117-1166, November.
    16. Peiling Wang & Joshua Williams & Nan Zhang & Qiang Wu, 2020. "F1000Prime recommended articles and their citations: an exploratory study of four journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(2), pages 933-955, February.
    17. Fernández, Ana María & Ferrándiz, Esther & Medina, Jennifer, 2022. "The diffusion of energy technologies. Evidence from renewable, fossil, and nuclear energy patents," Technological Forecasting and Social Change, Elsevier, vol. 178(C).

  61. Balázs Lengyel & Tamás Sebestyén & Loet Leydesdorff, 2015. "Challenges for regional innovation policies in Central and Eastern Europe: Spatial concentration and foreign control of US patenting," Science and Public Policy, Oxford University Press, vol. 42(1), pages 1-14.

    Cited by:

    1. Giuseppe Calignano, 2022. "Not all peripheries are the same: The importance of relative regional innovativeness in transnational innovation networks," Growth and Change, Wiley Blackwell, vol. 53(1), pages 276-312, March.
    2. Ivanova, Inga & Strand, Øivind & Kushnir, Duncan & Leydesdorff, Loet, 2017. "Economic and technological complexity: A model study of indicators of knowledge-based innovation systems," Technological Forecasting and Social Change, Elsevier, vol. 120(C), pages 77-89.
    3. Iciar Dominguez Lacasa & Alexander Giebler & Slavo Radošević, 2017. "Technological capabilities in Central and Eastern Europe: an analysis based on priority patents," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(1), pages 83-102, April.
    4. Lengyel, Balázs & Elekes, Zoltán, 2020. "A külföldi tulajdonú vállalatok és az import szerepe a hazai térségek exportjának diverzifikációjában [Foreign-owned firms and the role of their imports in diversifying Hungarys exports]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(4), pages 352-378.
    5. Lengyel, Balázs & Leydesdorff, Loet, 2015. "The Effects of FDI on Innovation Systems in Hungarian Regions: Where is the Synergy Generated?," MPRA Paper 73945, University Library of Munich, Germany.

  62. Loet Leydesdorff, 2015. "Can intellectual processes in the sciences also be simulated? The anticipation and visualization of possible future states," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 2197-2214, December.

    Cited by:

    1. Katy Börner & Bruce Edmonds & Staša Milojević & Andrea Scharnhorst, 2017. "Editorial," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(1), pages 387-390, January.
    2. Mario Coccia, 2021. "Evolution and structure of research fields driven by crises and environmental threats: the COVID-19 research," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(12), pages 9405-9429, December.

  63. Loet Leydesdorff & Evgeniy Perevodchikov & Alexander Uvarov, 2015. "Measuring triple-helix synergy in the Russian innovation systems at regional, provincial, and national levels," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(6), pages 1229-1238, June.

    Cited by:

    1. Eustache Mêgnigbêto, 2018. "Correlation Between Transmission Power and Some Indicators Used to Measure the Knowledge-Based Economy: Case of Six OECD Countries," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 9(4), pages 1168-1183, December.
    2. Luigi Aldieri & Maxim Nikolaevich Kotsemir & Concetto Paolo Vinci, 2018. "Knowledge spillover effects: empirical evidence from Russian regions," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(5), pages 2111-2132, September.
    3. Ivanova, Inga & Strand, Øivind & Kushnir, Duncan & Leydesdorff, Loet, 2017. "Economic and technological complexity: A model study of indicators of knowledge-based innovation systems," Technological Forecasting and Social Change, Elsevier, vol. 120(C), pages 77-89.
    4. Lyudmila Nikolaevna Perepechko & Galina Yakovlevna Belyakova, 2018. "The Interconnection among Science, Industry, State, and Society in Russia," Journal of Developing Societies, , vol. 34(4), pages 425-443, December.
    5. Inga Ivanova & Oivind Strand & Duncan Kushnir & Loet Leydesdorff, 2015. "The Efficiency of Triple-Helix Relations in Innovation Systems: Measuring the Connection between a Country’S Net Income and its Knowledge Base," HSE Working papers WP BRP 55/STI/2015, National Research University Higher School of Economics.
    6. Inga Ivanova & Oivind Strand & Loet Leydesdorff, 2019. "The Synergy and Cycle Values in Regional Innovation Systems: The Case of Norway," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 13(1), pages 48-61.
    7. Lengyel, Balázs & Leydesdorff, Loet, 2015. "The Effects of FDI on Innovation Systems in Hungarian Regions: Where is the Synergy Generated?," MPRA Paper 73945, University Library of Munich, Germany.
    8. David A. Ralston & Carolyn P. Egri & Irina Naoumova & Len J. Treviño & Katsuhiko Shimizu & Yongjuan Li, 2020. "An empirical test of the trichotomy of values crossvergence theory," Asia Pacific Journal of Management, Springer, vol. 37(1), pages 65-90, March.
    9. Tatiana Lisitskaya & Pavel Taranov & Ekaterina Ugnich & Vladimir Pislyakov, 2024. "Pillar Universities in Russia: Bibliometrics of ‘the second best’," Quality & Quantity: International Journal of Methodology, Springer, vol. 58(1), pages 365-383, February.
    10. Belitski, Maksim & Aginskaja, Anna & Marozau, Radzivon, 2019. "Commercializing university research in transition economies: Technology transfer offices or direct industrial funding?," Research Policy, Elsevier, vol. 48(3), pages 601-615.
    11. Inga Ivanova & Øivind Strand & Loet Leydesdorff, 2019. "What Is the Effect of Synergy Provided by International Collaborations on Regional Economies?," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 10(1), pages 18-34, March.
    12. Tyurchev, Kirill, 2021. "Управление Инновационными Системами: От Национального До Локального Уровня [Management of Innovative Systems: From National to Local LeveL]," MPRA Paper 111908, University Library of Munich, Germany.
    13. Weimin Kang & Shuliang Zhao & Wei Song & Tao Zhuang, 2019. "Triple helix in the science and technology innovation centers of China from the perspective of mutual information: a comparative study between Beijing and Shanghai," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 921-940, March.
    14. Milica Jovanović & Gordana Savić & Yuzhuo Cai & Maja Levi-Jakšić, 2022. "Towards a Triple Helix based efficiency index of innovation systems," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(5), pages 2577-2609, May.
    15. Henriette Ruhrmann & Michael Fritsch & Loet Leydesdorff, 2020. "Smart Specialization Strategies at National, Regional, or Local Levels? Synergy and Policy-making in German Systems of Innovation," Jena Economics Research Papers 2020-007, Friedrich-Schiller-University Jena.
    16. Porto-Gomez, Igone & Zabala-Iturriagagoitia, Jon Mikel & Leydesdorff, Loet, 2019. "Innovation systems in México: A matter of missing synergies," Technological Forecasting and Social Change, Elsevier, vol. 148(C).

  64. Loet Leydesdorff & Floortje Alkemade & Gaston Heimeriks & Rinke Hoekstra, 2015. "Patents as instruments for exploring innovation dynamics: geographic and technological perspectives on “photovoltaic cells”," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 629-651, January.

    Cited by:

    1. Loet Leydesdorff & Dieter Franz Kogler & Bowen Yan, 2017. "Mapping patent classifications: portfolio and statistical analysis, and the comparison of strengths and weaknesses," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1573-1591, September.
    2. Mariane Santos Françoso¹ & Nicholas S. Vonortas, 2023. "Gatekeepers in regional innovation networks: Evidence from an emerging economy," The Journal of Technology Transfer, Springer, vol. 48(3), pages 821-841, June.
    3. Seokbeom Kwon & Alan Porter & Jan Youtie, 2016. "Navigating the innovation trajectories of technology by combining specialization score analyses for publications and patents: graphene and nano-enabled drug delivery," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(3), pages 1057-1071, March.
    4. Huang, Ying & Li, Ruinan & Zou, Fang & Jiang, Lidan & Porter, Alan L. & Zhang, Lin, 2022. "Technology life cycle analysis: From the dynamic perspective of patent citation networks," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
    5. Xiaodong Yuan & Weiling Song, 2022. "Evaluating technology innovation capabilities of companies based on entropy- TOPSIS: the case of solar cell companies," Information Technology and Management, Springer, vol. 23(2), pages 65-76, June.
    6. Patricia Laurens & Christian Le Bas & Stéphane Lhuillery & Antoine Schoen, 2017. "The determinants of cleaner energy innovations of the world’s largest firms: the impact of firm learning and knowledge capital," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 26(4), pages 311-333, May.
    7. Barbieri, Nicolò, 2016. "Fuel prices and the invention crowding out effect: Releasing the automotive industry from its dependence on fossil fuel," Technological Forecasting and Social Change, Elsevier, vol. 111(C), pages 222-234.
    8. Mingers, John & Leydesdorff, Loet, 2015. "A review of theory and practice in scientometrics," European Journal of Operational Research, Elsevier, vol. 246(1), pages 1-19.
    9. Jinkuk Kim & Jungsub Yoon & Jeong-Dong Lee, 2021. "Dominant design and evolution of technological trajectories: The case of tank technology, 1915–1998," Journal of Evolutionary Economics, Springer, vol. 31(2), pages 661-676, April.
    10. Shiji Chen & Yanhui Song & Fei Shu & Vincent Larivière, 2022. "Interdisciplinarity and impact: the effects of the citation time window," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(5), pages 2621-2642, May.
    11. Shu-Hao Chang, 2018. "A pilot study on the connection between scientific fields and patent classification systems," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(3), pages 951-970, March.
    12. Martin Kalthaus, 2017. "Identifying technological sub-trajectories in photovoltaic patents," Jena Economics Research Papers 2017-010, Friedrich-Schiller-University Jena.
    13. Comins, Jordan A. & Carmack, Stephanie A. & Leydesdorff, Loet, 2018. "Patent citation spectroscopy (PCS): Online retrieval of landmark patents based on an algorithmic approach," Journal of Informetrics, Elsevier, vol. 12(4), pages 1223-1231.
    14. Loet Leydesdorff, 2015. "Can technology life-cycles be indicated by diversity in patent classifications? The crucial role of variety," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1441-1451, December.
    15. Chang, Shu-Hao & Fan, Chin-Yuan, 2016. "Identification of the technology life cycle of telematics: A patent-based analytical perspective," Technological Forecasting and Social Change, Elsevier, vol. 105(C), pages 1-10.
    16. Bruns, Stephan B. & Kalthaus, Martin, 2020. "Flexibility in the selection of patent counts: Implications for p-hacking and evidence-based policymaking," Research Policy, Elsevier, vol. 49(1).
    17. Tan Yigitcanlar, 2022. "Towards Smart and Sustainable Urban Electromobility: An Editorial Commentary," Sustainability, MDPI, vol. 14(4), pages 1-7, February.
    18. Ján Huòady & Peter Pisár, 2021. "Innovation and invention in the EU business sector: the role of the R&D expenditures," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 19(2), pages 168-188.
    19. Deyu Li & Floor Alkemade & Koen Frenken & Gaston Heimeriks, 2023. "Catching up in clean energy technologies: a patent analysis," The Journal of Technology Transfer, Springer, vol. 48(2), pages 693-715, April.
    20. Terrazas-Santamaria Diana & Mendoza-Palacios Saul & Berasaluce-Iza Julen, 2023. "An Alternative Approach to Frequency of Patent Technology Codes: The Case of Renewable Energy Generation," Economics - The Open-Access, Open-Assessment Journal, De Gruyter, vol. 17(1), pages 1-14, January.
    21. Alina Irina Popescu, 2020. "Long-Term City Innovation Trajectories and Quality of Urban Life," Sustainability, MDPI, vol. 12(24), pages 1-19, December.

  65. de Nooy, Wouter & Leydesdorff, Loet, 2015. "The dynamics of triads in aggregated journal–journal citation relations: Specialty developments at the above-journal level," Journal of Informetrics, Elsevier, vol. 9(3), pages 542-554.

    Cited by:

    1. Leydesdorff, Loet & Bornmann, Lutz & Zhou, Ping, 2016. "Construction of a pragmatic base line for journal classifications and maps based on aggregated journal-journal citation relations," Journal of Informetrics, Elsevier, vol. 10(4), pages 902-918.
    2. Loet Leydesdorff & Caroline S. Wagner & Lutz Bornmann, 2018. "Discontinuities in citation relations among journals: self-organized criticality as a model of scientific revolutions and change," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 623-644, July.
    3. Katchanov, Yurij L. & Markova, Yulia V. & Shmatko, Natalia A., 2019. "The distinction machine: Physics journals from the perspective of the Kolmogorov–Smirnov statistic," Journal of Informetrics, Elsevier, vol. 13(4).

  66. Lutz Bornmann & Caroline Wagner & Loet Leydesdorff, 2015. "BRICS countries and scientific excellence: A bibliometric analysis of most frequently cited papers," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(7), pages 1507-1513, July.

    Cited by:

    1. Domingo Docampo & Lawrence Cram, 2019. "Highly cited researchers: a moving target," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 1011-1025, March.
    2. Hamdi A. Al-Jamimi & Galal M. BinMakhashen & Lutz Bornmann & Yousif Ahmed Al Wajih, 2023. "Saudi Arabia research: academic insights and trend analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(10), pages 5595-5627, October.
    3. Rodríguez-Navarro, Alonso & Brito, Ricardo, 2018. "Technological research in the EU is less efficient than the world average. EU research policy risks Europeans’ future," Journal of Informetrics, Elsevier, vol. 12(3), pages 718-731.
    4. Wagner, Caroline S. & Whetsell, Travis A. & Mukherjee, Satyam, 2019. "International research collaboration: Novelty, conventionality, and atypicality in knowledge recombination," Research Policy, Elsevier, vol. 48(5), pages 1260-1270.
    5. Muhammad Omar & Arif Mehmood & Gyu Sang Choi & Han Woo Park, 2017. "Global mapping of artificial intelligence in Google and Google Scholar," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(3), pages 1269-1305, December.
    6. Bornmann, Lutz & Adams, Jonathan & Leydesdorff, Loet, 2018. "The negative effects of citing with a national orientation in terms of recognition: National and international citations in natural-sciences papers from Germany, the Netherlands, and the UK," Journal of Informetrics, Elsevier, vol. 12(3), pages 931-949.
    7. Brito, Ricardo & Rodríguez-Navarro, Alonso, 2018. "Research assessment by percentile-based double rank analysis," Journal of Informetrics, Elsevier, vol. 12(1), pages 315-329.
    8. Shakil Ahmad & Shafiq Ur Rehman & Abid Iqbal & Rai Khalid Farooq & Arslan Shahid & Muhammad Ikram Ullah, 2021. "Breast Cancer Research in Pakistan: A Bibliometric Analysis," SAGE Open, , vol. 11(3), pages 21582440211, September.
    9. Maria Karaulova & Abdullah Gök & Oliver Shackleton & Philip Shapira, 2016. "Science system path-dependencies and their influences: nanotechnology research in Russia," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(2), pages 645-670, May.
    10. Tanya Araújo & Elsa Fontainha, 2018. "Are scientific memes inherited differently from gendered authorship?," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(2), pages 953-972, November.
    11. Henk F. Moed & Valentina Markusova & Mark Akoev, 2018. "Trends in Russian research output indexed in Scopus and Web of Science," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(2), pages 1153-1180, August.
    12. Rongrong Li & Xuefeng Wang, 2019. "Imbalances between the Quantity and Quality of China’s Solar Energy Research," Sustainability, MDPI, vol. 11(3), pages 1-15, January.
    13. Alexander Sokolov & Sergey Shashnov & Maxim Kotsemir, 2021. "From BRICS to BRICS plus: selecting promising areas of S&T Cooperation with developing countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(11), pages 8815-8859, November.
    14. Ugo Finardi & Andrea Buratti, 2016. "Scientific collaboration framework of BRICS countries: an analysis of international coauthorship," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(1), pages 433-446, October.
    15. Zaida Chinchilla-Rodríguez & Cassidy R Sugimoto & Vincent Larivière, 2019. "Follow the leader: On the relationship between leadership and scholarly impact in international collaborations," PLOS ONE, Public Library of Science, vol. 14(6), pages 1-18, June.
    16. Miriam Palacios-Callender & Stephen A. Roberts, 2018. "Scientific collaboration of Cuban researchers working in Europe: understanding relations between origin and destination countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(2), pages 745-769, November.
    17. Alexandre Guimarães Vasconcellos & Bruna de Paula Fonseca e Fonseca & Carlos Medicis Morel, 2018. "Revisiting the concept of Innovative Developing Countries (IDCs) for its relevance to health innovation and neglected tropical diseases and for the prevention and control of epidemics," PLOS Neglected Tropical Diseases, Public Library of Science, vol. 12(7), pages 1-20, July.
    18. Mike Thelwall, 2019. "The influence of highly cited papers on field normalised indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(2), pages 519-537, February.
    19. Alonso Rodríguez-Navarro & Ricardo Brito, 2022. "The link between countries’ economic and scientific wealth has a complex dependence on technological activity and research policy," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(5), pages 2871-2896, May.
    20. José Luis Ruiz-Real & Juan Uribe-Toril & Jaime De Pablo Valenciano & José Ramos Pires Manso, 2019. "Ibero-American Research on Local Development. An Analysis of Its Evolution and New Trends," Resources, MDPI, vol. 8(3), pages 1-16, July.
    21. Qingnan Xie & Richard B. Freeman, 2019. "Bigger Than You Thought: China's Contribution to Scientific Publications and Its Impact on the Global Economy," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 27(1), pages 1-27, January.
    22. Houcemeddine Turki & Mohamed Ali Hadj Taieb & Mohamed Ben Aouicha & Ajith Abraham, 2020. "Nature or Science: what Google Trends says," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1367-1385, August.
    23. Fung, Hon-Ngen & Wong, Chan-Yuan, 2017. "Scientific collaboration in indigenous knowledge in context: Insights from publication and co-publication network analysis," Technological Forecasting and Social Change, Elsevier, vol. 117(C), pages 57-69.
    24. Caroline S. Wagner & Travis A. Whetsell & Loet Leydesdorff, 2017. "Growth of international collaboration in science: revisiting six specialties," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(3), pages 1633-1652, March.
    25. Juan Milán-García & Juan Uribe-Toril & José Luis Ruiz-Real & Jaime de Pablo Valenciano, 2019. "Sustainable Local Development: An Overview of the State of Knowledge," Resources, MDPI, vol. 8(1), pages 1-18, February.
    26. Thabang Lazarus Bambo & Anastassios Pouris, 2020. "Bibliometric analysis of bioeconomy research in South Africa," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 29-51, October.

  67. Marcin Kozak & Lutz Bornmann & Loet Leydesdorff, 2015. "How have the Eastern European countries of the former Warsaw Pact developed since 1990? A bibliometric study," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1101-1117, February.

    Cited by:

    1. Andreea Mironescu & Alina Moroșanu & Anca-Diana Bibiri, 2023. "The regional dynamics of multilingual publishing in web of science: A statistical analysis of central and eastern european journals and researchers in linguistics," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(2), pages 1133-1162, February.
    2. Ioan Ianoş & Alexandru-Ionuţ Petrişor, 2020. "An Overview of the Dynamics of Relative Research Performance in Central-Eastern Europe Using a Ranking-Based Analysis Derived from SCImago Data," Publications, MDPI, vol. 8(3), pages 1-25, July.
    3. Ho Fai Chan & Vincent Lariviére & Naomi Moy & Ali Sina Önder & Donata Schilling & Benno Torgler, 2021. "East German Science After Communism: Why does Westernization correlate with Productivity," Working Papers in Economics & Finance 2021-09, University of Portsmouth, Portsmouth Business School, Economics and Finance Subject Group, revised 30 Jun 2022.
    4. David A Groneberg, 2018. "Social sciences research in the Central European city of Wrocław: A density-equalizing mapping analysis," PLOS ONE, Public Library of Science, vol. 13(10), pages 1-14, October.
    5. Zoltán Krajcsák, 2021. "Researcher Performance in Scopus Articles ( RPSA ) as a New Scientometric Model of Scientific Output: Tested in Business Area of V4 Countries," Publications, MDPI, vol. 9(4), pages 1-23, October.
    6. Maria Karaulova & Abdullah Gök & Oliver Shackleton & Philip Shapira, 2016. "Science system path-dependencies and their influences: nanotechnology research in Russia," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(2), pages 645-670, May.
    7. Nataliya Matveeva & Vladimir Batagelj & Anuška Ferligoj, 2023. "Scientific collaboration of post-Soviet countries: the effects of different network normalizations," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(8), pages 4219-4242, August.
    8. Önder, Ali & Torgler, Benno & Lariviere, Vincent & Moy, Naomi & Chan, Ho Fai & Schilling, Donata, 2022. "Science after Communism: Structural Change, Peers, and Productivity in East German Science," VfS Annual Conference 2022 (Basel): Big Data in Economics 264021, Verein für Socialpolitik / German Economic Association.
    9. Giulio Marini, 2021. "Joining the European Union as an advantage in science performativity. A quasi-experimental study," DoQSS Working Papers 21-09, Quantitative Social Science - UCL Social Research Institute, University College London.
    10. Andrey Lovakov & Elena Agadullina, 2019. "Bibliometric analysis of publications from post-Soviet countries in psychological journals in 1992–2017," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 1157-1171, May.
    11. Maia Chankseliani & Andrey Lovakov & Vladimir Pislyakov, 2021. "A big picture: bibliometric study of academic publications from post-Soviet countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(10), pages 8701-8730, October.
    12. György Csomós & Jenő Zsolt Farkas, 2023. "Understanding the increasing market share of the academic publisher “Multidisciplinary Digital Publishing Institute” in the publication output of Central and Eastern European countries: a case study o," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(1), pages 803-824, January.
    13. Bahtiyor Eshchanov & Kobilbek Abduraimov & Mavluda Ibragimova & Ruzumboy Eshchanov, 2021. "Efficiency of “Publish or Perish” Policy—Some Considerations Based on the Uzbekistan Experience," Publications, MDPI, vol. 9(3), pages 1-20, July.
    14. Ádám Kun, 2018. "Publish and Who Should Perish: You or Science?," Publications, MDPI, vol. 6(2), pages 1-16, April.
    15. Maja Jokić, 2020. "Productivity, visibility, authorship, and collaboration in library and information science journals: Central and Eastern European authors," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(2), pages 1189-1219, February.
    16. Štěpán Jurajda & Stanislav Kozubek & Daniel Münich & Samuel Škoda, 2017. "Scientific publication performance in post-communist countries: still lagging far behind," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(1), pages 315-328, July.
    17. Csomós, György, 2020. "Introducing recalibrated academic performance indicators in the evaluation of individuals’ research performance: A case study from Eastern Europe," Journal of Informetrics, Elsevier, vol. 14(4).
    18. Hladchenko, Myroslava & Moed, Henk F., 2021. "The effect of publication traditions and requirements in research assessment and funding policies upon the use of national journals in 28 post-socialist countries," Journal of Informetrics, Elsevier, vol. 15(4).
    19. Hamdi A. Al-Jamimi & Galal M. BinMakhashen & Lutz Bornmann, 2022. "Use of bibliometrics for research evaluation in emerging markets economies: a review and discussion of bibliometric indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(10), pages 5879-5930, October.
    20. Teemu Makkonen & Timo Mitze, 2016. "Scientific collaboration between ‘old’ and ‘new’ member states: Did joining the European Union make a difference?," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(3), pages 1193-1215, March.
    21. Maria-Mihaela Antofie & Camelia Sand-Sava, 2022. "Genetically Modified Crops in Romania before and after the Accession of the European Union," Agriculture, MDPI, vol. 12(4), pages 1-15, March.
    22. Zawalińska, Katarzyna & Ploszaj, Adam & Celińska-Janowicz, Dorota & Rok, Jakub, 2015. "How increasing investments in R&D would contribute to development of Poland and its regions?," Conference papers 332570, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    23. Andrea Mervar & Maja Jokić, 2022. "Core-periphery nexus in the EU social sciences: bibliometric perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(10), pages 5793-5817, October.
    24. Nataliya Matveeva & Ivan Sterligov & Andrey Lovakov, 2022. "International scientific collaboration of post-Soviet countries: a bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(3), pages 1583-1607, March.
    25. Martin Grančay & Jolita Vveinhardt & Ērika Šumilo, 2017. "Publish or perish: how Central and Eastern European economists have dealt with the ever-increasing academic publishing requirements 2000–2015," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1813-1837, June.
    26. Andrey Guskov & Denis Kosyakov & Irina Selivanova, 2016. "Scientometric research in Russia: impact of science policy changes," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(1), pages 287-303, April.
    27. Vardakas, Konstantinos Z. & Tsopanakis, Grigorios & Poulopoulou, Alexandra & Falagas, Matthew E., 2015. "An analysis of factors contributing to PubMed's growth," Journal of Informetrics, Elsevier, vol. 9(3), pages 592-617.
    28. Andrey Lovakov & Anna Panova & Maria Yudkevich, 2022. "Global visibility of nationally published research output: the case of the post-Soviet region," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(5), pages 2643-2659, May.
    29. Itay Mayrose & Shiri Freilich, 2015. "The Interplay between Scientific Overlap and Cooperation and the Resulting Gain in Co-Authorship Interactions," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-10, September.
    30. Berdymyrat Ovezmyradov, 2023. "Applying quantified indicators in Central Asian science: can metrics improve the regional research performance?," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(1), pages 177-206, January.

  68. Loet Leydesdorff & Félix Moya-Anegón & Vicente P. Guerrero-Bote, 2015. "Journal maps, interactive overlays, and the measurement of interdisciplinarity on the basis of Scopus data (1996–2012)," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(5), pages 1001-1016, May.

    Cited by:

    1. Filippo Corsini & Rafael Laurenti & Franziska Meinherz & Francesco Appio & Luca Mora, 2019. "The Advent of Practice Theories in Research on Sustainable Consumption: Past, Current and Future Directions of the Field," Post-Print halshs-02292337, HAL.
    2. Patrick Röhm, 2018. "Exploring the landscape of corporate venture capital: a systematic review of the entrepreneurial and finance literature," Management Review Quarterly, Springer, vol. 68(3), pages 279-319, August.
    3. Ricardo Arencibia-Jorge & Rosa Lidia Vega-Almeida & José Luis Jiménez-Andrade & Humberto Carrillo-Calvet, 2022. "Evolutionary stages and multidisciplinary nature of artificial intelligence research," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(9), pages 5139-5158, September.
    4. Gerardo Tibaná-Herrera & María Teresa Fernández-Bajón & Félix Moya-Anegón, 2018. "Global analysis of the E-learning scientific domain: a declining category?," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(2), pages 675-685, February.
    5. Chiara Carusi & Giuseppe Bianchi, 2020. "A look at interdisciplinarity using bipartite scholar/journal networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(2), pages 867-894, February.
    6. Lisa Bunclark & Iván Manuel De La Vega Hernández, 2022. "Scientific Mapping of Research on Nature-based Solutions for Sustainable Water Management," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(12), pages 4499-4516, September.
    7. Sander Zwanenburg & Maryam Nakhoda & Peter Whigham, 2022. "Toward greater consistency and validity in measuring interdisciplinarity: a systematic and conceptual evaluation," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7769-7788, December.
    8. Ying Huang & Wolfgang Glänzel & Lin Zhang, 2021. "Tracing the development of mapping knowledge domains," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 6201-6224, July.
    9. Simone Belli & Joan Baltà, 2019. "Stocktaking scientific publication on bi-regional collaboration between Europe 28 and Latin America and the Caribbean," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(3), pages 1447-1480, December.
    10. Jiming Hu & Yin Zhang, 2017. "Discovering the interdisciplinary nature of Big Data research through social network analysis and visualization," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(1), pages 91-109, July.
    11. Kim, Dong-hyu & Lee, Heejin & Kwak, Jooyoung, 2017. "Standards as a driving force that influences emerging technological trajectories in the converging world of the Internet and things: An investigation of the M2M/IoT patent network," Research Policy, Elsevier, vol. 46(7), pages 1234-1254.
    12. Qian Yu & Rui Tao & Shan Jiang, 2023. "Exploring the evolution of interdisciplinary citation network by the colored network motifs: the case of Perovskite Materials," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(8), pages 4421-4446, August.

  69. John Mingers & Loet Leydesdorff, 2015. "Identifying research fields within business and management: a journal cross-citation analysis," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 66(8), pages 1370-1384, August.

    Cited by:

    1. Ruimin Ma & Erjia Yan, 2016. "Uncovering inter-specialty knowledge communication using author citation networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 839-854, November.
    2. Jiyoung Kimjeon & Per Davidsson, 2022. "External Enablers of Entrepreneurship: A Review and Agenda for Accumulation of Strategically Actionable Knowledge," Entrepreneurship Theory and Practice, , vol. 46(3), pages 643-687, May.
    3. Mingkun Wei, 2020. "Research on impact evaluation of open access journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(2), pages 1027-1049, February.
    4. Merlyn Tjimuku & Sulaiman Olusegun Atiku, 2024. "Mapping Emotional Intelligence and Psychological Capital Research: A Bibliometric Analysis and Future Research Agenda," Businesses, MDPI, vol. 4(2), pages 1-24, April.
    5. Mingers, John & Yang, Liying, 2017. "Evaluating journal quality: A review of journal citation indicators and ranking in business and management," European Journal of Operational Research, Elsevier, vol. 257(1), pages 323-337.

  70. Lutz Bornmann & Loet Leydesdorff, 2015. "Topical connections between the institutions within an organisation (institutional co-authorships, direct citation links and co-citations)," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 455-463, January.

    Cited by:

    1. Ruimin Ma & Erjia Yan, 2016. "Uncovering inter-specialty knowledge communication using author citation networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 839-854, November.
    2. Blanca de-Miguel-Molina & Vicente Chirivella-González & Beatriz García-Ortega, 2016. "Corporate philanthropy and community involvement. Analysing companies from France, Germany, the Netherlands and Spain," Quality & Quantity: International Journal of Methodology, Springer, vol. 50(6), pages 2741-2766, November.
    3. Meijun Liu & Xiao Hu & Jiang Li, 2018. "Knowledge flow in China’s humanities and social sciences," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(2), pages 607-626, March.
    4. Rui Song & Hao Xu & Li Cai, 2019. "Academic Collaboration in Entrepreneurship Research from 2009 to 2018: A Multilevel Collaboration Network Analysis," Sustainability, MDPI, vol. 11(19), pages 1-17, September.
    5. Chen Yang & Tingting Liu & Xiaohong Chen & Yiyang Bian & Yuewen Liu, 2020. "HNRWalker: recommending academic collaborators with dynamic transition probabilities in heterogeneous networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(1), pages 429-449, April.
    6. Hui Li & Yaohua Hu, 2024. "Metapath and attribute-based academic collaborator recommendation in heterogeneous academic networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(7), pages 4295-4315, July.
    7. Bornmann, Lutz & Stefaner, Moritz & de Moya Anegón, Felix & Mutz, Rüdiger, 2016. "Excellence networks in science: A Web-based application based on Bayesian multilevel logistic regression (BMLR) for the identification of institutions collaborating successfully," Journal of Informetrics, Elsevier, vol. 10(1), pages 312-327.

  71. Ivanova, Inga A. & Leydesdorff, Loet, 2014. "Rotational symmetry and the transformation of innovation systems in a Triple Helix of university–industry–government relations," Technological Forecasting and Social Change, Elsevier, vol. 86(C), pages 143-156.

    Cited by:

    1. Jianyu Zhao & Guangdong Wu, 2017. "Evolution of the Chinese Industry-University-Research Collaborative Innovation System," Complexity, Hindawi, vol. 2017, pages 1-13, April.
    2. Alexander Petersen & Daniele Rotolo & Loet Leydesdor, 2016. "A Triple Helix Model of Medical Innovation: Supply, Demand, and Technological Capabilities in terms of Medical Subject Headings," SPRU Working Paper Series 2016-01, SPRU - Science Policy Research Unit, University of Sussex Business School.
    3. Fabíola Loyola Provedel Toscano & Emerson Wagner Mainardes & Sarah Venturim Lasso, 2017. "Exploring Challenges in University Technology Transfer in Brazil," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 14(04), pages 1-28, August.
    4. Yao, Li & Li, Jun & Li, Jian, 2020. "Urban innovation and intercity patent collaboration: A network analysis of China’s national innovation system," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
    5. Junghyun Yoon & Jaehoon Rhee & Alisher Tohirovich Dedahanov, 2017. "The roles of networks among innovators in regional innovation: comparative analysis between China and South Korea," European Planning Studies, Taylor & Francis Journals, vol. 25(5), pages 790-804, May.
    6. Burmaoglu, Serhat & Sartenaer, Olivier & Porter, Alan, 2019. "Conceptual definition of technology emergence: A long journey from philosophy of science to science policy," Technology in Society, Elsevier, vol. 59(C).
    7. Zhang, Yi & Chen, Kaihua & Fu, Xiaolan, 2019. "Scientific effects of Triple Helix interactions among research institutes, industries and universities," Technovation, Elsevier, vol. 86, pages 33-47.
    8. Ivanova, Inga & Strand, Øivind & Kushnir, Duncan & Leydesdorff, Loet, 2017. "Economic and technological complexity: A model study of indicators of knowledge-based innovation systems," Technological Forecasting and Social Change, Elsevier, vol. 120(C), pages 77-89.
    9. Datta, Surja & Saad, Mohammed & Sarpong, David, 2019. "National systems of innovation, innovation niches, and diversity in university systems," Technological Forecasting and Social Change, Elsevier, vol. 143(C), pages 27-36.
    10. Xiaojun Hu & Xian Li & Ronald Rousseau, 2021. "Mathematical reflections on Triple Helix calculations," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(10), pages 8581-8587, October.
    11. Russell, Martha G. & Smorodinskaya, Nataliya V., 2018. "Leveraging complexity for ecosystemic innovation," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 114-131.
    12. Proksch, Dorian & Haberstroh, Marcus Max & Pinkwart, Andreas, 2017. "Increasing the national innovative capacity: Identifying the pathways to success using a comparative method," Technological Forecasting and Social Change, Elsevier, vol. 116(C), pages 256-270.
    13. Mao, Chongfeng & Yu, Xianyun & Zhou, Qing & Harms, Rainer & Fang, Gang, 2020. "Knowledge growth in university-industry innovation networks – Results from a simulation study," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    14. Jiao, Hao & Zhou, Jianghua & Gao, Taishan & Liu, Xielin, 2016. "The more interactions the better? The moderating effect of the interaction between local producers and users of knowledge on the relationship between R&D investment and regional innovation systems," Technological Forecasting and Social Change, Elsevier, vol. 110(C), pages 13-20.
    15. Inga Ivanova & Oivind Strand & Loet Leydesdorff, 2019. "The Synergy and Cycle Values in Regional Innovation Systems: The Case of Norway," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 13(1), pages 48-61.
    16. Feng, Qun & Shi, Xuejun & Zhang, Jianghua, 2019. "Influence of rent-seeking on safety supervision in Chinese construction: Based on a simulation technology," Technological Forecasting and Social Change, Elsevier, vol. 138(C), pages 1-9.
    17. AlMalki, Hameeda A. & Durugbo, Christopher M., 2023. "Evaluating critical institutional factors of Industry 4.0 for education reform," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    18. Jiaofeng Pan & Jianxin Guo, 2022. "Innovative Collaboration and Acceleration: an Integrated Framework Based on Knowledge Transfer and Triple Helix," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(4), pages 3223-3247, December.
    19. Sarpong, David & AbdRazak, Azley & Alexander, Elizabeth & Meissner, Dirk, 2017. "Organizing practices of university, industry and government that facilitate (or impede) the transition to a hybrid triple helix model of innovation," Technological Forecasting and Social Change, Elsevier, vol. 123(C), pages 142-152.
    20. Roth, Steffen & Schwede, Peter & Valentinov, Vladislav & Žažar, Krešimir & Kaivo-oja, Jari, 2019. "Big data insights into social macro trends (1800–2000): A replication study," Technological Forecasting and Social Change, Elsevier, vol. 149(C).
    21. Chen, Kaihua & Zhang, Yi & Zhu, Guilong & Mu, Rongping, 2020. "Do research institutes benefit from their network positions in research collaboration networks with industries or/and universities?," Technovation, Elsevier, vol. 94.
    22. Inga Ivanova & Øivind Strand & Loet Leydesdorff, 2019. "An Eco-Systems Approach To Constructing Economic Complexity Measures: Endogenization Of The Technological Dimension Using Lotka–Volterra Equations," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 22(01), pages 1-21, February.
    23. Afcha, S. & García-Quevedo, J. & Mas-Verdú, F., 2023. "Gaining or losing PhDs: What are the effects on firms' linkages with universities?," Technological Forecasting and Social Change, Elsevier, vol. 186(PA).
    24. Inga Ivanova & Oivind Strand & Loet Leydesdorff, 2014. "Synergy cycles in the Norwegian innovation system: The relation between synergy and cycle values," Papers 1409.2760, arXiv.org.
    25. Øivind Strand & Inga Ivanova & Loet Leydesdorff, 2017. "Decomposing the Triple-Helix synergy into the regional innovation systems of Norway: firm data and patent networks," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(3), pages 963-988, May.
    26. Dalmarco, Gustavo & Hulsink, Willem & Blois, Guilherme V., 2018. "Creating entrepreneurial universities in an emerging economy: Evidence from Brazil," Technological Forecasting and Social Change, Elsevier, vol. 135(C), pages 99-111.
    27. Borah, Dhruba & Ellwood, Paul, 2022. "The micro-foundations of conflicts in joint university-industry laboratories," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    28. Chau, Vinh Sum & Gilman, Mark & Serbanica, Cristina, 2017. "Aligning university–industry interactions: The role of boundary spanning in intellectual capital transfer," Technological Forecasting and Social Change, Elsevier, vol. 123(C), pages 199-209.

  72. Leydesdorff, Loet & Bornmann, Lutz & Marx, Werner & Milojević, Staša, 2014. "Referenced Publication Years Spectroscopy applied to iMetrics: Scientometrics, Journal of Informetrics, and a relevant subset of JASIST," Journal of Informetrics, Elsevier, vol. 8(1), pages 162-174.

    Cited by:

    1. Comins, Jordan A. & Hussey, Thomas W., 2015. "Compressing multiple scales of impact detection by Reference Publication Year Spectroscopy," Journal of Informetrics, Elsevier, vol. 9(3), pages 449-454.
    2. Jianhua Hou, 2017. "Exploration into the evolution and historical roots of citation analysis by referenced publication year spectroscopy," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(3), pages 1437-1452, March.
    3. Thor, Andreas & Marx, Werner & Leydesdorff, Loet & Bornmann, Lutz, 2016. "Introducing CitedReferencesExplorer (CRExplorer): A program for reference publication year spectroscopy with cited references standardization," Journal of Informetrics, Elsevier, vol. 10(2), pages 503-515.
    4. Jianhua Hou & Xiucai Yang & Yang Zhang, 2023. "The effect of social media knowledge cascade: an analysis of scientific papers diffusion," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(9), pages 5169-5195, September.
    5. Chen, Liang & Xu, Shuo & Zhu, Lijun & Zhang, Jing & Xu, Haiyun & Yang, Guancan, 2022. "A semantic main path analysis method to identify multiple developmental trajectories," Journal of Informetrics, Elsevier, vol. 16(2).
    6. Werner Marx & Robin Haunschild & Andreas Thor & Lutz Bornmann, 2017. "Which early works are cited most frequently in climate change research literature? A bibliometric approach based on Reference Publication Year Spectroscopy," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(1), pages 335-353, January.
    7. K. Brad Wray & Lutz Bornmann, 2015. "Philosophy of science viewed through the lense of “Referenced Publication Years Spectroscopy” (RPYS)," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(3), pages 1987-1996, March.
    8. Daria Maltseva & Vladimir Batagelj, 2020. "iMetrics: the development of the discipline with many names," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 313-359, October.
    9. Werner Marx & Lutz Bornmann, 2016. "Change of perspective: bibliometrics from the point of view of cited references—a literature overview on approaches to the evaluation of cited references in bibliometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 1397-1415, November.
    10. Comins, Jordan A. & Carmack, Stephanie A. & Leydesdorff, Loet, 2018. "Patent citation spectroscopy (PCS): Online retrieval of landmark patents based on an algorithmic approach," Journal of Informetrics, Elsevier, vol. 12(4), pages 1223-1231.
    11. Bakthavachalam Elango & Lutz Bornmann & Govindaraju Kannan, 2016. "Detecting the historical roots of tribology research: a bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(1), pages 305-313, April.
    12. Jordan A. Comins & Thomas W. Hussey, 2015. "Detecting seminal research contributions to the development and use of the global positioning system by reference publication year spectroscopy," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(2), pages 575-580, August.
    13. Guoliang Lyu & Ganwei Shi, 2019. "On an approach to boosting a journal’s citation potential," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(3), pages 1387-1409, September.
    14. Jordan A. Comins & Loet Leydesdorff, 2017. "Citation algorithms for identifying research milestones driving biomedical innovation," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(3), pages 1495-1504, March.
    15. Xin Li & Qiang Yao & Xuli Tang & Qian Li & Mengjia Wu, 2020. "How to investigate the historical roots and evolution of research fields in China? A case study on iMetrics using RootCite," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1253-1274, November.
    16. McLevey, John & McIlroy-Young, Reid, 2017. "Introducing metaknowledge: Software for computational research in information science, network analysis, and science of science," Journal of Informetrics, Elsevier, vol. 11(1), pages 176-197.

  73. Loet Leydesdorff & Han Woo Park & Balazs Lengyel, 2014. "A routine for measuring synergy in university–industry–government relations: mutual information as a Triple-Helix and Quadruple-Helix indicator," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 27-35, April.

    Cited by:

    1. Alexander Petersen & Daniele Rotolo & Loet Leydesdor, 2016. "A Triple Helix Model of Medical Innovation: Supply, Demand, and Technological Capabilities in terms of Medical Subject Headings," SPRU Working Paper Series 2016-01, SPRU - Science Policy Research Unit, University of Sussex Business School.
    2. Lee, Young Hoon & Kim, YoungJun, 2016. "Analyzing interaction in R&D networks using the Triple Helix method: Evidence from industrial R&D programs in Korean government," Technological Forecasting and Social Change, Elsevier, vol. 110(C), pages 93-105.
    3. Francesco Campanella & Maria Rosaria Della Peruta & Stefano Bresciani & Luca Dezi, 2017. "Quadruple Helix and firms’ performance: an empirical verification in Europe," The Journal of Technology Transfer, Springer, vol. 42(2), pages 267-284, April.
    4. Blanca L. Delgado-Márquez & Marcos García-Velasco, 2018. "Geographical Distribution of the European Knowledge Base Through the Lens of a Synthetic Index," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 136(2), pages 477-496, April.
    5. Inga Ivanova & Oivind Strand & Loet Leydesdorff, 2019. "The Synergy and Cycle Values in Regional Innovation Systems: The Case of Norway," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 13(1), pages 48-61.
    6. Lengyel, Balázs & Leydesdorff, Loet, 2015. "The Effects of FDI on Innovation Systems in Hungarian Regions: Where is the Synergy Generated?," MPRA Paper 73945, University Library of Munich, Germany.
    7. Joana Costa & João C.O. Matias, 2020. "Open Innovation 4.0 as an Enhancer of Sustainable Innovation Ecosystems," Sustainability, MDPI, vol. 12(19), pages 1-19, October.
    8. Inga Ivanova & Oivind Strand & Loet Leydesdorff, 2014. "Synergy cycles in the Norwegian innovation system: The relation between synergy and cycle values," Papers 1409.2760, arXiv.org.
    9. Joana Costa & Ana Rita Neves & João Reis, 2021. "Two Sides of the Same Coin. University-Industry Collaboration and Open Innovation as Enhancers of Firm Performance," Sustainability, MDPI, vol. 13(7), pages 1-18, March.
    10. Csomós, György & Tóth, Géza, 2016. "Exploring the position of cities in global corporate research and development: A bibliometric analysis by two different geographical approaches," Journal of Informetrics, Elsevier, vol. 10(2), pages 516-532.
    11. Weimin Kang & Shuliang Zhao & Wei Song & Tao Zhuang, 2019. "Triple helix in the science and technology innovation centers of China from the perspective of mutual information: a comparative study between Beijing and Shanghai," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 921-940, March.
    12. Alex de Lima Teodoro da Penha & Samuel Vinícius Bonato & Joana Baleeiro Passos & Eduardo da Silva Fernandes & Cínthia Kulpa & Carla Schwengber ten Caten, 2024. "Navigating the Urgency: An Open Innovation Project of Protective Equipment Development from a Quadruple Helix Perspective," Sustainability, MDPI, vol. 16(4), pages 1-32, February.

  74. Loet Leydesdorff & Petra Ahrweiler, 2014. "In search of a network theory of innovations: Relations, positions, and perspectives," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(11), pages 2359-2374, November.

    Cited by:

    1. Vladimir Batagelj & Anuška Ferligoj & Flaminio Squazzoni, 2017. "The emergence of a field: a network analysis of research on peer review," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(1), pages 503-532, October.
    2. Shaoze Jin & Xiangping Jia & Harvey S. James, 2021. "Risk attitudes within farmer cooperative organizations: Evidence from China's fresh apple industry," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 92(2), pages 173-205, June.
    3. Mingrui He & Min Mei & Handan Zhang, 2024. "Evolutionary Stages and Paths of Innovation Networks in Industrial Clusters: Case Study of Nanchong Silk-Spinning Garment Industry Cluster (SSGIC)," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(1), pages 1703-1735, March.

  75. Loet Leydesdorff & Robert L. Goldstone, 2014. "Interdisciplinarity at the journal and specialty level: The changing knowledge bases of the journal cognitive science," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(1), pages 164-177, January.

    Cited by:

    1. Yanto Chandra, 2018. "Mapping the evolution of entrepreneurship as a field of research (1990–2013): A scientometric analysis," PLOS ONE, Public Library of Science, vol. 13(1), pages 1-24, January.
    2. Francesco Giovanni Avallone & Alberto Quagli & Paola Ramassa, 2022. "Interdisciplinary research by accounting scholars: An exploratory study," FINANCIAL REPORTING, FrancoAngeli Editore, vol. 2022(2), pages 5-34.
    3. Shunshun Shi & Wenyu Zhang & Shuai Zhang & Jie Chen, 2018. "Does prestige dimension influence the interdisciplinary performance of scientific entities in knowledge flow? Evidence from the e-government field," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(2), pages 1237-1264, November.
    4. Hu, Xiaojun & Leydesdorff, Loet & Rousseau, Ronald, 2017. "Heterogeneity in an undirected network: Definition and measurement," Journal of Informetrics, Elsevier, vol. 11(2), pages 669-682.
    5. Zhao, Yi & Liu, Lifan & Zhang, Chengzhi, 2022. "Is coronavirus-related research becoming more interdisciplinary? A perspective of co-occurrence analysis and diversity measure of scientific articles," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    6. Solomon, Gregg E.A. & Youtie, Jan & Carley, Stephen & Porter, Alan L., 2019. "What people learn about how people learn: An analysis of citation behavior and the multidisciplinary flow of knowledge," Research Policy, Elsevier, vol. 48(9), pages 1-1.
    7. Jiming Hu & Yin Zhang, 2017. "Discovering the interdisciplinary nature of Big Data research through social network analysis and visualization," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(1), pages 91-109, July.
    8. Yang Bai & Hongxiu Li & Yong Liu, 2021. "Visualizing research trends and research theme evolution in E-learning field: 1999–2018," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 1389-1414, February.
    9. Loet Leydesdorff & Caroline S. Wagner & Lutz Bornmann, 2018. "Betweenness and diversity in journal citation networks as measures of interdisciplinarity—A tribute to Eugene Garfield," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(2), pages 567-592, February.
    10. Kim, Hyeyoung & Park, Hyelin & Song, Min, 2022. "Developing a topic-driven method for interdisciplinarity analysis," Journal of Informetrics, Elsevier, vol. 16(2).
    11. Wolfram, Dietmar & Zhao, Yuehua, 2014. "A comparison of journal similarity across six disciplines using citing discipline analysis," Journal of Informetrics, Elsevier, vol. 8(4), pages 840-853.

  76. Leydesdorff, Loet & Wagner, Caroline S. & Bornmann, Lutz, 2014. "The European Union, China, and the United States in the top-1% and top-10% layers of most-frequently cited publications: Competition and collaborations," Journal of Informetrics, Elsevier, vol. 8(3), pages 606-617.

    Cited by:

    1. Ping Zhou & Youneng Pan, 2015. "A comparative analysis of publication portfolios of selected economies," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(2), pages 825-842, November.
    2. Wong, Chan-Yuan & Wang, Lili, 2015. "Trajectories of science and technology and their co-evolution in BRICS: Insights from publication and patent analysis," Journal of Informetrics, Elsevier, vol. 9(1), pages 90-101.
    3. Aleksandra Zygmunt, 2020. "Do Human Resources and the Research System Affect Firms’ Innovation Activities? Results from Poland and the Czech Republic," Sustainability, MDPI, vol. 12(6), pages 1-14, March.
    4. Bornmann, Lutz & Tekles, Alexander, 2021. "Convergent validity of several indicators measuring disruptiveness with milestone assignments to physics papers by experts," Journal of Informetrics, Elsevier, vol. 15(3).
    5. Yves Gingras & Mahdi Khelfaoui, 2018. "Assessing the effect of the United States’ “citation advantage” on other countries’ scientific impact as measured in the Web of Science (WoS) database," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(2), pages 517-532, February.
    6. Péter Vinkler, 2019. "Core journals and elite subsets in scientometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(1), pages 241-259, October.
    7. Alexander I. Terekhov, 2017. "Bibliometric spectroscopy of Russia’s nanotechnology: 2000–2014," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(3), pages 1217-1242, March.
    8. Rodríguez-Navarro, Alonso & Brito, Ricardo, 2018. "Technological research in the EU is less efficient than the world average. EU research policy risks Europeans’ future," Journal of Informetrics, Elsevier, vol. 12(3), pages 718-731.
    9. Bornmann, Lutz & Adams, Jonathan & Leydesdorff, Loet, 2018. "The negative effects of citing with a national orientation in terms of recognition: National and international citations in natural-sciences papers from Germany, the Netherlands, and the UK," Journal of Informetrics, Elsevier, vol. 12(3), pages 931-949.
    10. Alonso Rodríguez-Navarro & Francis Narin, 2018. "European Paradox or Delusion—Are European Science and Economy Outdated?," Science and Public Policy, Oxford University Press, vol. 45(1), pages 14-23.
    11. Frank J. Rijnsoever & Laurens K. Hessels, 2021. "How academic researchers select collaborative research projects: a choice experiment," The Journal of Technology Transfer, Springer, vol. 46(6), pages 1917-1948, December.
    12. Siluo Yang & Xin Xing & Dietmar Wolfram, 2018. "Difference in the impact of open-access papers published by China and the USA," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(2), pages 1017-1037, May.
    13. Caroline S. Wagner & Lin Zhang & Loet Leydesdorff, 2022. "A discussion of measuring the top-1% most-highly cited publications: quality and impact of Chinese papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(4), pages 1825-1839, April.
    14. János József Tóth & Gergő Háló & Manuel Goyanes, 2023. "Beyond views, productivity, and citations: measuring geopolitical differences of scientific impact in communication research," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(10), pages 5705-5729, October.
    15. Xiaoyu Cai & Tao Han, 2020. "Analysis of the division of labor in China’s high-quality life sciences research," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1077-1094, November.
    16. Caroline S. Wagner & Xiaojing Cai & Satyam Mukherjee, 2020. "China’s scholarship shows atypical referencing patterns," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2457-2468, September.
    17. Martin Grančay & Tomáš Dudáš & Ladislav Mura, 2022. "Revealed comparative advantages in academic publishing of “old” and “new” European Union Member States 1998–2018," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(3), pages 1247-1271, March.
    18. Cong Cao & Jeroen Baas & Caroline S Wagner & Koen Jonkers, 2020. "Returning scientists and the emergence of China’s science system," Science and Public Policy, Oxford University Press, vol. 47(2), pages 172-183.
    19. Peter Vinkler, 2018. "Structure of the scientific research and science policy," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(2), pages 737-756, February.
    20. Junwen Zhu & Weishu Liu, 2020. "Comparing like with like: China ranks first in SCI-indexed research articles since 2018," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1691-1700, August.
    21. Lili Yuan & Yanni Hao & Minglu Li & Chunbing Bao & Jianping Li & Dengsheng Wu, 2018. "Who are the international research collaboration partners for China? A novel data perspective based on NSFC grants," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 401-422, July.
    22. Elias Sanz-Casado & Carlos García-Zorita & Ronald Rousseau, 2016. "Using h-cores to study the most-cited articles of the twenty-first century," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(1), pages 243-261, July.
    23. Thomas Heinze & Arlette Jappe & David Pithan, 2019. "From North American hegemony to global competition for scientific leadership? Insights from the Nobel population," PLOS ONE, Public Library of Science, vol. 14(4), pages 1-14, April.
    24. Qingnan Xie & Richard B. Freeman, 2019. "Bigger Than You Thought: China's Contribution to Scientific Publications and Its Impact on the Global Economy," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 27(1), pages 1-27, January.
    25. Maisonobe, Marion & Eckert, Denis & Grossetti, Michel & Jégou, Laurent & Milard, Béatrice, 2016. "The world network of scientific collaborations between cities: domestic or international dynamics?," Journal of Informetrics, Elsevier, vol. 10(4), pages 1025-1036.
    26. Ping Zhou & Xiaozan Lv, 2015. "Academic publishing and collaboration between China and Germany in physics," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1875-1887, December.
    27. Zhenyue Zhao & Xuelian Pan & Weina Hua, 2021. "Comparative analysis of the research productivity, publication quality, and collaboration patterns of top ranked library and information science schools in China and the United States," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 931-950, February.
    28. Marion Maisonobe & Michel Grossetti & Béatrice Milard & Laurent Jégou & Denis Eckert, 2017. "The global geography of scientific visibility: a deconcentration process (1999–2011)," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(1), pages 479-493, October.
    29. Koen Jonkers & Frédérique Sachwald, 2018. "The dual impact of ‘excellent’ research on science and innovation: the case of Europe," Science and Public Policy, Oxford University Press, vol. 45(2), pages 159-174.
    30. Xu, Ran & Baghaei Lakeh, Arash & Ghaffarzadegan, Navid, 2021. "Examining the characteristics of impactful research topics: A case of three decades of HIV-AIDS research," Journal of Informetrics, Elsevier, vol. 15(1).
    31. Marina Martinčević & Darja Maslić Seršić & Davor Jokić, 2023. "Contribution of CEE authors to psychological science: is the growing trend of publishing in non-CEE journals still present 10 years after its inception?," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(6), pages 3703-3721, June.
    32. Marginson, Simon, 2021. "National modernisation and global science in China," International Journal of Educational Development, Elsevier, vol. 84(C).

  77. Loet Leydesdorff & Inga A. Ivanova, 2014. "Mutual redundancies in interhuman communication systems: Steps toward a calculus of processing meaning," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(2), pages 386-399, February.

    Cited by:

    1. Alexander Petersen & Daniele Rotolo & Loet Leydesdor, 2016. "A Triple Helix Model of Medical Innovation: Supply, Demand, and Technological Capabilities in terms of Medical Subject Headings," SPRU Working Paper Series 2016-01, SPRU - Science Policy Research Unit, University of Sussex Business School.
    2. Inga Ivanova, 2019. "Evolutionary Dynamics of Investors Expectations and Market Price Movement," Papers 1912.11216, arXiv.org, revised Dec 2023.
    3. Eustache Mêgnigbêto, 2018. "Correlation Between Transmission Power and Some Indicators Used to Measure the Knowledge-Based Economy: Case of Six OECD Countries," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 9(4), pages 1168-1183, December.
    4. Zhang, Yi & Chen, Kaihua & Fu, Xiaolan, 2019. "Scientific effects of Triple Helix interactions among research institutes, industries and universities," Technovation, Elsevier, vol. 86, pages 33-47.
    5. Loet Leydesdorff, 2015. "Can intellectual processes in the sciences also be simulated? The anticipation and visualization of possible future states," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 2197-2214, December.
    6. Sujin Choi & Joshua Yang & Han Park, 2015. "Quantifying the Triple Helix relationship in scientific research: statistical analyses on the dividing pattern between developed and developing countries," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(4), pages 1381-1396, July.
    7. Mêgnigbêto, Eustache, 2018. "Modelling the Triple Helix of university-industry-government relationships with game theory: Core, Shapley value and nucleolus as indicators of synergy within an innovation system," Journal of Informetrics, Elsevier, vol. 12(4), pages 1118-1132.
    8. Mark William Johnson & Loet Leydesdorff, 2021. "Redundancies in the communication of music: An operationalization of Schutz's ‘Making Music Together’," Systems Research and Behavioral Science, Wiley Blackwell, vol. 38(6), pages 923-939, November.
    9. Inga A. Ivanova & Loet Leydesdorff, 2014. "A simulation model of the Triple Helix of university–industry–government relations and the decomposition of the redundancy," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(3), pages 927-948, June.
    10. Leydesdorff, Loet & Bornmann, Lutz, 2021. "Disruption indices and their calculation using web-of-science data: Indicators of historical developments or evolutionary dynamics?," Journal of Informetrics, Elsevier, vol. 15(4).
    11. Inga Ivanova & Oivind Strand & Loet Leydesdorff, 2019. "The Synergy and Cycle Values in Regional Innovation Systems: The Case of Norway," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 13(1), pages 48-61.
    12. Lengyel, Balázs & Leydesdorff, Loet, 2015. "The Effects of FDI on Innovation Systems in Hungarian Regions: Where is the Synergy Generated?," MPRA Paper 73945, University Library of Munich, Germany.
    13. Inga Ivanova & Øivind Strand & Loet Leydesdorff, 2019. "What Is the Effect of Synergy Provided by International Collaborations on Regional Economies?," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 10(1), pages 18-34, March.
    14. Inga Ivanova & Oivind Strand & Loet Leydesdorff, 2014. "Synergy cycles in the Norwegian innovation system: The relation between synergy and cycle values," Papers 1409.2760, arXiv.org.
    15. Inga Ivanova, 2022. "The relation between complexity and synergy in the case of China: different ways of predicting GDP growth in a complex and adaptive system," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(1), pages 195-215, February.
    16. Øivind Strand & Inga Ivanova & Loet Leydesdorff, 2017. "Decomposing the Triple-Helix synergy into the regional innovation systems of Norway: firm data and patent networks," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(3), pages 963-988, May.
    17. Blanco Rivero, José Javier, 2019. "The fractal geometry of Luhmann's sociological theory or debugging systems theory," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 31-40.
    18. Porto-Gomez, Igone & Zabala-Iturriagagoitia, Jon Mikel & Leydesdorff, Loet, 2019. "Innovation systems in México: A matter of missing synergies," Technological Forecasting and Social Change, Elsevier, vol. 148(C).

  78. Werner Marx & Lutz Bornmann & Andreas Barth & Loet Leydesdorff, 2014. "Detecting the historical roots of research fields by reference publication year spectroscopy (RPYS)," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(4), pages 751-764, April.

    Cited by:

    1. Comins, Jordan A. & Hussey, Thomas W., 2015. "Compressing multiple scales of impact detection by Reference Publication Year Spectroscopy," Journal of Informetrics, Elsevier, vol. 9(3), pages 449-454.
    2. Marino-Romero, Jorge Alberto & Palos-Sánchez, Pedro R. & Velicia-Martín, Félix, 2024. "Evolution of digital transformation in SMEs management through a bibliometric analysis," Technological Forecasting and Social Change, Elsevier, vol. 199(C).
    3. Hyejin Park & Han Woo Park, 2018. "Two-side face of knowledge building using scientometric analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(6), pages 2815-2836, November.
    4. Ransome Epie Bawack & Samuel Fosso Wamba & Kevin Daniel André Carillo & Shahriar Akter, 2022. "Artificial intelligence in E-Commerce: a bibliometric study and literature review," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(1), pages 297-338, March.
    5. Carson Duan, 2023. "A State-of-the-Art Review of Sharing Economy Business Models and a Forecast of Future Research Directions for Sustainable Development: A Bibliometric Analysis Approach," Sustainability, MDPI, vol. 15(5), pages 1-37, March.
    6. Jianhua Hou, 2017. "Exploration into the evolution and historical roots of citation analysis by referenced publication year spectroscopy," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(3), pages 1437-1452, March.
    7. Thor, Andreas & Marx, Werner & Leydesdorff, Loet & Bornmann, Lutz, 2016. "Introducing CitedReferencesExplorer (CRExplorer): A program for reference publication year spectroscopy with cited references standardization," Journal of Informetrics, Elsevier, vol. 10(2), pages 503-515.
    8. Jianhua Hou & Xiucai Yang & Yang Zhang, 2023. "The effect of social media knowledge cascade: an analysis of scientific papers diffusion," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(9), pages 5169-5195, September.
    9. Muhammad Omar & Arif Mehmood & Gyu Sang Choi & Han Woo Park, 2017. "Global mapping of artificial intelligence in Google and Google Scholar," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(3), pages 1269-1305, December.
    10. Werner Marx & Robin Haunschild & Andreas Thor & Lutz Bornmann, 2017. "Which early works are cited most frequently in climate change research literature? A bibliometric approach based on Reference Publication Year Spectroscopy," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(1), pages 335-353, January.
    11. Chuanyi Wang & Fei Guo & Qing Wu, 2021. "The influence of academic advisors on academic network of Physics doctoral students: empirical evidence based on scientometrics analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(6), pages 4899-4925, June.
    12. K. Brad Wray & Lutz Bornmann, 2015. "Philosophy of science viewed through the lense of “Referenced Publication Years Spectroscopy” (RPYS)," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(3), pages 1987-1996, March.
    13. Lutz Bornmann & Robin Haunschild & Loet Leydesdorff, 2018. "Reference publication year spectroscopy (RPYS) of Eugene Garfield’s publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(2), pages 439-448, February.
    14. Yoscelina Iraida Hernandez-García & Mónica Anzaldo Montoya, 2021. "Flow of ideas in the study of communication channels and references in publications on nanotechnology applied to food and agriculture in Mexico," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 995-1017, February.
    15. Truzaar Dordi & Phoebe Stephens & Sean Geobey & Olaf Weber, 2024. "New bottle or new label? Distinguishing impact investing from responsible and ethical investing," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 64(1), pages 309-330, March.
    16. Hugo Palácios & Helena de Almeida & Maria José Sousa, 2021. "A Bibliometric Analysis of Service Climate as a Sustainable Competitive Advantage in Hospitality," Sustainability, MDPI, vol. 13(21), pages 1-27, November.
    17. Andreas Thor & Lutz Bornmann & Werner Marx & Rüdiger Mutz, 2018. "Identifying single influential publications in a research field: new analysis opportunities of the CRExplorer," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 591-608, July.
    18. K. Brad Wray & Søren R. Paludan & Lutz Bornmann & Robin Haunschild, 2024. "Using Reference Publication Year Spectroscopy (RPYS) to analyze the research and publication culture in immunology," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(6), pages 3271-3283, June.
    19. Werner Marx & Lutz Bornmann, 2016. "Change of perspective: bibliometrics from the point of view of cited references—a literature overview on approaches to the evaluation of cited references in bibliometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 1397-1415, November.
    20. Chembessi Chedrak & Gohoungodji Paulin & Juste Rajaonson, 2023. "“A fine wine, better with age”: Circular economy historical roots and influential publications: A bibliometric analysis using Reference Publication Year Spectroscopy (RPYS)," Journal of Industrial Ecology, Yale University, vol. 27(6), pages 1593-1612, December.
    21. Matthieu Ballandonne & Igor Cersosimo, 2021. "A note on reference publication year spectroscopy with incomplete information," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(6), pages 4927-4939, June.
    22. Rons, Nadine, 2018. "Bibliometric approximation of a scientific specialty by combining key sources, title words, authors and references," Journal of Informetrics, Elsevier, vol. 12(1), pages 113-132.
    23. Robin Haunschild & Werner Marx, 2020. "Discovering seminal works with marker papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2955-2969, December.
    24. Liang, Guoqiang & Hou, Haiyan & Ding, Ying & Hu, Zhigang, 2020. "Knowledge recency to the birth of Nobel Prize-winning articles: Gender, career stage, and country," Journal of Informetrics, Elsevier, vol. 14(3).
    25. Andreas Thor & Werner Marx & Loet Leydesdorff & Lutz Bornmann, 2016. "New features of CitedReferencesExplorer (CRExplorer)," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 2049-2051, December.
    26. Comins, Jordan A. & Carmack, Stephanie A. & Leydesdorff, Loet, 2018. "Patent citation spectroscopy (PCS): Online retrieval of landmark patents based on an algorithmic approach," Journal of Informetrics, Elsevier, vol. 12(4), pages 1223-1231.
    27. Lutz Bornmann & Rüdiger Mutz, 2015. "Growth rates of modern science: A bibliometric analysis based on the number of publications and cited references," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(11), pages 2215-2222, November.
    28. Robin Haunschild & Werner Marx, 2022. "On Health Effects of Resveratrol in Wine," IJERPH, MDPI, vol. 19(5), pages 1-13, March.
    29. Fatih Pinarbasi & Zehra Nur Canbolat, 2019. "Big data in marketing literature: A bibliometric analysis," International Journal of Business Ecosystem & Strategy (2687-2293), Bussecon International Academy, vol. 1(2), pages 15-24, April.
    30. Massimo Franceschet & Giovanni Colavizza, 2020. "Quantifying the higher-order influence of scientific publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 951-963, November.
    31. Bakthavachalam Elango & Lutz Bornmann & Govindaraju Kannan, 2016. "Detecting the historical roots of tribology research: a bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(1), pages 305-313, April.
    32. Philippe Gorry & Pascal Ragouet, 2016. "“Sleeping beauty” and her restless sleep: Charles Dotter and the birth of interventional radiology," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(2), pages 773-784, May.
    33. Enrico Ciavolino & Massimo Aria & Jun-Hwa Cheah & José Luis Roldán, 2022. "A tale of PLS Structural Equation Modelling: Episode I— A Bibliometrix Citation Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 164(3), pages 1323-1348, December.
    34. Jordan A. Comins & Thomas W. Hussey, 2015. "Detecting seminal research contributions to the development and use of the global positioning system by reference publication year spectroscopy," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(2), pages 575-580, August.
    35. Huichen Gao & Shijuan Wang, 2022. "The Intellectual Structure of Research on Rural-to-Urban Migrants: A Bibliometric Analysis," IJERPH, MDPI, vol. 19(15), pages 1-19, August.
    36. Hu, Xiaojun & Rousseau, Ronald, 2018. "A new approach to explore the knowledge transition path in the evolution of science & technology: From the biology of restriction enzymes to their application in biotechnology," Journal of Informetrics, Elsevier, vol. 12(3), pages 842-857.
    37. Werner Marx & Robin Haunschild & Bernie French & Lutz Bornmann, 2017. "Slow reception and under-citedness in climate change research: A case study of Charles David Keeling, discoverer of the risk of global warming," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(2), pages 1079-1092, August.
    38. Wei Cheng & Dejun Zheng & Shaoxiong Fu & Jingfeng Cui, 2024. "Closer in time and higher correlation: disclosing the relationship between citation similarity and citation interval," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(7), pages 4495-4512, July.
    39. Robin Haunschild & Lutz Bornmann, 2022. "Reference publication year spectroscopy (RPYS) in practice: a software tutorial," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7253-7271, December.
    40. Ratinho, Tiago & Bruneel, Johan, 2024. "Taking stock of research on hybrid organizations: Enriching theoretical perspectives, extending empirical contexts, and expanding practical relevance," Journal of Business Research, Elsevier, vol. 170(C).
    41. Wiarda, Martijn & van de Kaa, Geerten & Yaghmaei, Emad & Doorn, Neelke, 2021. "A comprehensive appraisal of responsible research and innovation: From roots to leaves," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
    42. Thomas Scheidsteger & Robin Haunschild, 2020. "Telling the story of solar energy meteorology into the satellite era by applying (co-citation) reference publication year spectroscopy," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1159-1177, November.
    43. Jordan A. Comins & Loet Leydesdorff, 2017. "Citation algorithms for identifying research milestones driving biomedical innovation," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(3), pages 1495-1504, March.
    44. Arash Najmaei & Zahra Sadeghinejad, 2023. "Green and sustainable business models: historical roots, growth trajectory, conceptual architecture and an agenda for future research—A bibliometric review of green and sustainable business models," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(2), pages 957-999, February.
    45. Xin Li & Qiang Yao & Xuli Tang & Qian Li & Mengjia Wu, 2020. "How to investigate the historical roots and evolution of research fields in China? A case study on iMetrics using RootCite," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1253-1274, November.
    46. Jean J. Wang & Sarah X. Shao & Fred Y. Ye, 2021. "Identifying 'seed' papers in sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 6001-6011, July.
    47. Mostafa, Mohamed M., 2022. "Five decades of catastrophe theory research: Geographical atlas, knowledge structure and historical roots," Chaos, Solitons & Fractals, Elsevier, vol. 159(C).
    48. McLevey, John & McIlroy-Young, Reid, 2017. "Introducing metaknowledge: Software for computational research in information science, network analysis, and science of science," Journal of Informetrics, Elsevier, vol. 11(1), pages 176-197.

  79. Bornmann, Lutz & Leydesdorff, Loet & Wang, Jian, 2014. "How to improve the prediction based on citation impact percentiles for years shortly after the publication date?," Journal of Informetrics, Elsevier, vol. 8(1), pages 175-180.

    Cited by:

    1. Qingnan Xie & Richard B. Freeman, 2020. "The Contribution of Chinese Diaspora Researchers to Global Science and China's Catching Up in Scientific Research," NBER Working Papers 27169, National Bureau of Economic Research, Inc.
    2. Tehmina Amjad & Nafeesa Shahid & Ali Daud & Asma Khatoon, 2022. "Citation burst prediction in a bibliometric network," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(5), pages 2773-2790, May.
    3. Veugelers, Reinhilde & wang, jian & Stephan, Paula, 2016. "Bias against Novelty in Science: A Cautionary Tale for Users of Bibliometric Indicators," CEPR Discussion Papers 11228, C.E.P.R. Discussion Papers.
    4. Cristina López-Duarte & Marta M. Vidal-Suárez & Belén González-Díaz, 2019. "Cross-national distance and international business: an analysis of the most influential recent models," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(1), pages 173-208, October.
    5. Ante, Lennart, 2022. "The relationship between readability and scientific impact: Evidence from emerging technology discourses," Journal of Informetrics, Elsevier, vol. 16(1).
    6. Meijun Liu & Dongbo Shi & Jiang Li, 2017. "Double-edged sword of interdisciplinary knowledge flow from hard sciences to humanities and social sciences: Evidence from China," PLOS ONE, Public Library of Science, vol. 12(9), pages 1-16, September.
    7. Zahedi, Zohreh & Haustein, Stefanie, 2018. "On the relationships between bibliographic characteristics of scientific documents and citation and Mendeley readership counts: A large-scale analysis of Web of Science publications," Journal of Informetrics, Elsevier, vol. 12(1), pages 191-202.
    8. Martorell Cunil, Onofre & Otero González, Luis & Durán Santomil, Pablo & Mulet Forteza, Carlos, 2023. "How to accomplish a highly cited paper in the tourism, leisure and hospitality field," Journal of Business Research, Elsevier, vol. 157(C).
    9. Hu, Ya-Han & Tai, Chun-Tien & Liu, Kang Ernest & Cai, Cheng-Fang, 2020. "Identification of highly-cited papers using topic-model-based and bibliometric features: the consideration of keyword popularity," Journal of Informetrics, Elsevier, vol. 14(1).
    10. Wanjun Xia & Tianrui Li & Chongshou Li, 2023. "A review of scientific impact prediction: tasks, features and methods," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(1), pages 543-585, January.
    11. Leihan Zhang & Ke Xu & Jichang Zhao, 2017. "Sleeping beauties in meme diffusion," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(1), pages 383-402, July.
    12. Wang, Xing & Zhang, Zhihui, 2020. "Improving the reliability of short-term citation impact indicators by taking into account the correlation between short- and long-term citation impact," Journal of Informetrics, Elsevier, vol. 14(2).
    13. Yezhu Wang & Yundong Xie & Dong Wang & Lu Guo & Rongting Zhou, 2022. "Do cover papers get better citations and usage counts? An analysis of 42 journals in cell biology," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(7), pages 3793-3813, July.
    14. David I. Stern, 2014. "High-Ranked Social Science Journal Articles Can Be Identified from Early Citation Information," Crawford School Research Papers 1406, Crawford School of Public Policy, The Australian National University.
    15. Andrea Fronzetti Colladon & Ciriaco Andrea D’Angelo & Peter A. Gloor, 2020. "Predicting the future success of scientific publications through social network and semantic analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 357-377, July.
    16. Kaile Gong & Juan Xie & Ying Cheng & Vincent Larivière & Cassidy R. Sugimoto, 2019. "The citation advantage of foreign language references for Chinese social science papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(3), pages 1439-1460, September.
    17. Chen, Shiji & Qiu, Junping & Arsenault, Clément & Larivière, Vincent, 2021. "Exploring the interdisciplinarity patterns of highly cited papers," Journal of Informetrics, Elsevier, vol. 15(1).
    18. Bornmann, Lutz & Stefaner, Moritz & de Moya Anegón, Felix & Mutz, Rüdiger, 2014. "What is the effect of country-specific characteristics on the research performance of scientific institutions? Using multi-level statistical models to rank and map universities and research-focused in," Journal of Informetrics, Elsevier, vol. 8(3), pages 581-593.
    19. Guy Assaker & Wassim Shahin, 2022. "What Drives Faculty Publication Citations in the Business Field? Empirical Results from an AACSB Middle Eastern Institution," Publications, MDPI, vol. 10(4), pages 1-29, November.
    20. Anqi Ma & Yu Liu & Xiujuan Xu & Tao Dong, 2021. "A deep-learning based citation count prediction model with paper metadata semantic features," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(8), pages 6803-6823, August.
    21. Zhang, Xinyuan & Xie, Qing & Song, Min, 2021. "Measuring the impact of novelty, bibliometric, and academic-network factors on citation count using a neural network," Journal of Informetrics, Elsevier, vol. 15(2).
    22. Nader Ale Ebrahim & H. Ebrahimian & Maryam Mousavi & Farzad Tahriri, 2015. "Does a Long Reference List Guarantee More Citations? Analysis of Malaysian Highly Cited and Review Papers," International Journal of Management Science and Business Administration, Inovatus Services Ltd., vol. 1(3), pages 6-16, February.
    23. Shiji Chen & Yanhui Song & Fei Shu & Vincent Larivière, 2022. "Interdisciplinarity and impact: the effects of the citation time window," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(5), pages 2621-2642, May.
    24. Štěpán Jurajda & Stanislav Kozubek & Daniel Münich & Samuel Škoda, 2017. "Scientific publication performance in post-communist countries: still lagging far behind," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(1), pages 315-328, July.
    25. Zhang, Mengya & Zhang, Gupeng & Liu, Yun & Zhai, Xiaorong & Han, Xinying, 2020. "Scientists’ genders and international academic collaboration: An empirical study of Chinese universities and research institutes," Journal of Informetrics, Elsevier, vol. 14(4).
    26. Iman Tahamtan & Askar Safipour Afshar & Khadijeh Ahamdzadeh, 2016. "Factors affecting number of citations: a comprehensive review of the literature," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(3), pages 1195-1225, June.
    27. Bornmann, Lutz & Leydesdorff, Loet, 2015. "Does quality and content matter for citedness? A comparison with para-textual factors and over time," Journal of Informetrics, Elsevier, vol. 9(3), pages 419-429.
    28. Xie, Zheng, 2020. "Predicting publication productivity for researchers: A piecewise Poisson model," Journal of Informetrics, Elsevier, vol. 14(3).
    29. Babak Sohrabi & Hamideh Iraj, 2017. "The effect of keyword repetition in abstract and keyword frequency per journal in predicting citation counts," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(1), pages 243-251, January.
    30. Ruan, Xuanmin & Zhu, Yuanyang & Li, Jiang & Cheng, Ying, 2020. "Predicting the citation counts of individual papers via a BP neural network," Journal of Informetrics, Elsevier, vol. 14(3).
    31. Guoqiang Liang & Haiyan Hou & Qiao Chen & Zhigang Hu, 2020. "Diffusion and adoption: an explanatory model of “question mark” and “rising star” articles," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 219-232, July.
    32. Wumei Du & Zheng Xie & Yiqin Lv, 2021. "Predicting publication productivity for authors: Shallow or deep architecture?," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 5855-5879, July.
    33. Cao, Xuanyu & Chen, Yan & Ray Liu, K.J., 2016. "A data analytic approach to quantifying scientific impact," Journal of Informetrics, Elsevier, vol. 10(2), pages 471-484.
    34. Abramo, Giovanni, 2018. "Revisiting the scientometric conceptualization of impact and its measurement," Journal of Informetrics, Elsevier, vol. 12(3), pages 590-597.
    35. Jian Wang & Bart Thijs & Wolfgang Glänzel, 2015. "Interdisciplinarity and Impact: Distinct Effects of Variety, Balance, and Disparity," PLOS ONE, Public Library of Science, vol. 10(5), pages 1-18, May.
    36. Li, Xin & Ma, Xiaodi & Feng, Ye, 2024. "Early identification of breakthrough research from sleeping beauties using machine learning," Journal of Informetrics, Elsevier, vol. 18(2).
    37. Schreiber, Michael, 2015. "Restricting the h-index to a publication and citation time window: A case study of a timed Hirsch index," Journal of Informetrics, Elsevier, vol. 9(1), pages 150-155.
    38. Fang Zhang & Shengli Wu, 2024. "Predicting citation impact of academic papers across research areas using multiple models and early citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(7), pages 4137-4166, July.
    39. Chowdhury, K.P., 2021. "Functional analysis of generalized linear models under non-linear constraints with applications to identifying highly-cited papers," Journal of Informetrics, Elsevier, vol. 15(1).
    40. Fan, Lingxu & Guo, Lei & Wang, Xinhua & Xu, Liancheng & Liu, Fangai, 2022. "Does the author’s collaboration mode lead to papers’ different citation impacts? An empirical analysis based on propensity score matching," Journal of Informetrics, Elsevier, vol. 16(4).
    41. Nunkoo, Robin & Hall, C. Michael & Rughoobur-Seetah, Soujata & Teeroovengadum, Viraiyan, 2019. "Citation practices in tourism research: Toward a gender conscientious engagement," Annals of Tourism Research, Elsevier, vol. 79(C).
    42. Günter Krampen & Peter Weiland & Jürgen Wiesenhütter, 2015. "Citation success of different publication types: a case study on all references in psychology publications from the German-speaking countries (D–A–CH–L–L) in 2009, 2010, and 2011," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(3), pages 827-840, September.
    43. Pech, Gerson & Delgado, Catarina, 2021. "Screening the most highly cited papers in longitudinal bibliometric studies and systematic literature reviews of a research field or journal: Widespread used metrics vs a percentile citation-based app," Journal of Informetrics, Elsevier, vol. 15(3).
    44. Abramo, Giovanni & D’Angelo, Ciriaco Andrea & Felici, Giovanni, 2019. "Predicting publication long-term impact through a combination of early citations and journal impact factor," Journal of Informetrics, Elsevier, vol. 13(1), pages 32-49.
    45. Elizabeth S. Vieira, 2023. "The influence of research collaboration on citation impact: the countries in the European Innovation Scoreboard," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(6), pages 3555-3579, June.

  80. Fred Y. Ye & Loet Leydesdorff, 2014. "The “academic trace” of the performance matrix: A mathematical synthesis of the h-index and the integrated impact indicator (I3)," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(4), pages 742-750, April.

    Cited by:

    1. Mu-Hsuan Huang & Dar-Zen Chen & Danqi Shen & Mona S. Wang & Fred Y. Ye, 2015. "Measuring technological performance of assignees using trace metrics in three fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(1), pages 61-86, July.
    2. Jingda Ding & Chao Liu & Goodluck Asobenie Kandonga, 2020. "Exploring the limitations of the h-index and h-type indexes in measuring the research performance of authors," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(3), pages 1303-1322, March.
    3. Liu, Yunmei & Yang, Liu & Chen, Min, 2021. "A new citation concept: Triangular citation in the literature," Journal of Informetrics, Elsevier, vol. 15(2).
    4. Loet Leydesdorff & Lutz Bornmann & Jonathan Adams, 2019. "The integrated impact indicator revisited (I3*): a non-parametric alternative to the journal impact factor," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(3), pages 1669-1694, June.

  81. Inga A. Ivanova & Loet Leydesdorff, 2014. "A simulation model of the Triple Helix of university–industry–government relations and the decomposition of the redundancy," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(3), pages 927-948, June.

    Cited by:

    1. Nikolay Egorov & Tatiana Pospelova & Anastasia Yarygina & Elena Klochkova, 2019. "The Assessment of Innovation Development in the Arctic Regions of Russia Based on the Triple Helix Model," Resources, MDPI, vol. 8(2), pages 1-12, April.
    2. Zhang, Yi & Chen, Kaihua & Fu, Xiaolan, 2019. "Scientific effects of Triple Helix interactions among research institutes, industries and universities," Technovation, Elsevier, vol. 86, pages 33-47.
    3. Loet Leydesdorff & Inga Ivanova, 2021. "The measurement of “interdisciplinarity” and “synergy” in scientific and extra‐scientific collaborations," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(4), pages 387-402, April.
    4. Saymon Ricardo Oliveira Sousa & Wesley Vieira Silva & Claudimar Pereira Veiga & Roselaine Ruviaro Zanini, 2020. "Theoretical background of innovation in services in small and medium-sized enterprises: literature mapping," Journal of Innovation and Entrepreneurship, Springer, vol. 9(1), pages 1-26, December.
    5. Balzhan Orazbayeva & Carolin Plewa & Todd Davey & Victoria Galán-Muros, 2019. "The future of University-Business Cooperation: research and practice priorities," Post-Print hal-02880384, HAL.
    6. Inga Ivanova & Oivind Strand & Loet Leydesdorff, 2019. "The Synergy and Cycle Values in Regional Innovation Systems: The Case of Norway," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 13(1), pages 48-61.
    7. Tatiana Marceda Bach & Luciano Luiz Dalazen & Wesley Vieira da Silva & Alex Antonio Ferraresi & Claudimar Pereira da Veiga, 2019. "Relationship Between Innovation and Performance in Private Companies: Systematic Literature Review," SAGE Open, , vol. 9(2), pages 21582440198, June.
    8. Inga Ivanova & Oivind Strand & Loet Leydesdorff, 2014. "Synergy cycles in the Norwegian innovation system: The relation between synergy and cycle values," Papers 1409.2760, arXiv.org.
    9. Henriette Ruhrmann & Michael Fritsch & Loet Leydesdorff, 2020. "Smart Specialization Strategies at National, Regional, or Local Levels? Synergy and Policy-making in German Systems of Innovation," Jena Economics Research Papers 2020-007, Friedrich-Schiller-University Jena.

  82. Loet Leydesdorff & Han Woo Park & Caroline Wagner, 2014. "International coauthorship relations in the Social Sciences Citation Index: Is internationalization leading the Network?," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(10), pages 2111-2126, October.

    Cited by:

    1. Stefano Scarazzati & Lili Wang, 2019. "The effect of collaborations on scientific research output: the case of nanoscience in Chinese regions," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(2), pages 839-868, November.
    2. Zhigao Liu & Yimei Yin & Weidong Liu & Michael Dunford, 2015. "Visualizing the intellectual structure and evolution of innovation systems research: a bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(1), pages 135-158, April.
    3. Aliakbar Akbaritabar & Vincent Antonio Traag & Alberto Caimo & Flaminio Squazzoni, 2020. "Italian sociologists: a community of disconnected groups," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2361-2382, September.
    4. Aliakbar Akbaritabar & Niccolò Casnici & Flaminio Squazzoni, 2018. "The conundrum of research productivity: a study on sociologists in Italy," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(3), pages 859-882, March.
    5. Frederik T. Verleysen & Tim C. E. Engels, 2014. "Internationalization of peer reviewed and non-peer reviewed book publications in the Social Sciences and Humanities," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1431-1444, November.
    6. Leydesdorff, Loet & Wagner, Caroline S. & Bornmann, Lutz, 2014. "The European Union, China, and the United States in the top-1% and top-10% layers of most-frequently cited publications: Competition and collaborations," Journal of Informetrics, Elsevier, vol. 8(3), pages 606-617.
    7. 子, 鬼谷, 2021. "Studies on Startup Success in Southeast Asia: a Bibliometrics Analysis with Scopus Dataset Between 2001-2020," OSF Preprints crhnp, Center for Open Science.
    8. Han Woo Park & Jungwon Yoon & Loet Leydesdorff, 2016. "The normalization of co-authorship networks in the bibliometric evaluation: the government stimulation programs of China and Korea," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 1017-1036, November.

  83. Jonathan Adams & Karen Gurney & Daniel Hook & Loet Leydesdorff, 2014. "International collaboration clusters in Africa," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(1), pages 547-556, January.

    Cited by:

    1. Elizabeth S. Vieira, 2022. "International research collaboration in Africa: a bibliometric and thematic analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(5), pages 2747-2772, May.
    2. Fida Medina, 2015. "The output of researchers in Morocco compared to some North African countries from 1996 to 2012, and its relationship to governmental major decisions on higher education and scientific research," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(1), pages 367-384, October.
    3. Muriithi, Petronilla & Horner, David & Pemberton, Lyn & Wao, Hesborn, 2018. "Factors influencing research collaborations in Kenyan universities," Research Policy, Elsevier, vol. 47(1), pages 88-97.
    4. Sandro Mendonça & João Pereira & Manuel Ennes Ferreira, 2018. "Gatekeeping African studies: what does “editormetrics” indicate about journal governance?," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(3), pages 1513-1534, December.
    5. Guns, Raf & Wang, Lili, 2017. "Detecting the emergence of new scientific collaboration links in Africa: A comparison of expected and realized collaboration intensities," Journal of Informetrics, Elsevier, vol. 11(3), pages 892-903.
    6. Lutomiah, Agnes & Blanckenberg, Jaco P. & Skupien, Stefan, 2022. "In Between Centre and Periphery: Kenya as a Key Scientific Nation in East Africa?," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 27(3), pages 388-403.
    7. Simone Belli & Carlos Gonzalo-Penela, 2020. "Science, research, and innovation infospheres in Google results of the Ibero-American countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(2), pages 635-653, May.
    8. Marta Zdravkovic & Linley Chiwona-Karltun & Eren Zink, 2016. "Experiences and perceptions of South–South and North–South scientific collaboration of mathematicians, physicists and chemists from five southern African universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(2), pages 717-743, August.
    9. Marco Liverani & Kayla Song & James W. Rudge, 2023. "Mapping emerging trends and South–South cooperation in regional knowledge networks: A bibliometric analysis of avian influenza research in Southeast Asia," Journal of International Development, John Wiley & Sons, Ltd., vol. 35(7), pages 1667-1683, October.
    10. Similo Ngwenya & Nelius Boshoff, 2020. "Participation of ‘international national organisations’ in Africa’s research: a bibliometric study of agriculture and health in Zimbabwe," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 533-553, July.
    11. Elizabeth S. Vieira & Jorge Cerdeira, 2022. "The integration of African countries in international research networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(4), pages 1995-2021, April.
    12. Similo Ngwenya & Nelius Boshoff, 2022. "Different manifestations of ‘context’: examples from a bibliometric study of research in Zimbabwe in Southern Africa," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(7), pages 3911-3933, July.
    13. Simone Belli & Joan Baltà, 2019. "Stocktaking scientific publication on bi-regional collaboration between Europe 28 and Latin America and the Caribbean," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(3), pages 1447-1480, December.
    14. Jorge Cerdeira & João Mesquita & Elizabeth S. Vieira, 2023. "International research collaboration: is Africa different? A cross-country panel data analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(4), pages 2145-2174, April.
    15. Yuan Chih Fu & Marcelo Marques & Yuen-Hsien Tseng & Justin J. W. Powell & David P. Baker, 2022. "An evolving international research collaboration network: spatial and thematic developments in co-authored higher education research, 1998–2018," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(3), pages 1403-1429, March.
    16. Fabio Landini & Franco Malerba & Roberto Mavilia, 2015. "The structure and dynamics of networks of scientific collaborations in Northern Africa," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1787-1807, December.
    17. Dosso, Mafini & Cassi, Lorenzo & Mescheba, Wilfriedo, 2023. "Towards regional scientific integration in Africa? Evidence from co-publications," Research Policy, Elsevier, vol. 52(1).
    18. Skupien, Stefan, 2019. "Searching for Macro-Meso-Micro-Level Links in Studies of North-South Research Collaborations," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 57(3), pages 391-410.
    19. A. Velez-Estevez & P. García-Sánchez & J. A. Moral-Munoz & M. J. Cobo, 2022. "Why do papers from international collaborations get more citations? A bibliometric analysis of Library and Information Science papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7517-7555, December.
    20. Hugo Confraria & Manuel Mira Godinho, 2015. "The impact of African science: a bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1241-1268, February.
    21. Michael Cary & Taylor Rockwell, 2020. "International Collaboration in Open Access Publications: How Income Shapes International Collaboration," Publications, MDPI, vol. 8(1), pages 1-24, February.
    22. Jyoti Dua & Vivek Kumar Singh & Hiran H. Lathabai, 2023. "Measuring and characterizing international collaboration patterns in Indian scientific research," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(9), pages 5081-5116, September.
    23. Nelson Casimiro Zavale & Patrício Vitorino Langa, 2018. "University-industry linkages’ literature on Sub-Saharan Africa: systematic literature review and bibliometric account," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 1-49, July.
    24. Vieira, Elizabeth S. & Cerdeira, Jorge & Teixeira, Aurora A.C., 2022. "Which distance dimensions matter in international research collaboration? A cross-country analysis by scientific domain," Journal of Informetrics, Elsevier, vol. 16(2).
    25. Zaida Chinchilla-Rodríguez & Yi Bu & Nicolás Robinson-García & Rodrigo Costas & Cassidy R. Sugimoto, 2018. "Travel bans and scientific mobility: utility of asymmetry and affinity indexes to inform science policy," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 569-590, July.
    26. Matthew Harsh & Ravtosh Bal & Alex Weryha & Justin Whatley & Charles C. Onu & Lisa M. Negro, 2021. "Mapping computer science research in Africa: using academic networking sites for assessing research activity," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 305-334, January.
    27. Manuel Ennes Ferreira & Sandro Mendonça & João Pereira, 2018. "Gatekeeping African studies: What does “editormetrics” indicate about journal governance?," Working Papers Department of Economics 2018/07, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    28. Mascarello, Júlia & Lehmann, Rosa & Giurca, Alexandru, 2024. "Bioeconomy science collaboration between Brazil and Germany – On equal footing?," Forest Policy and Economics, Elsevier, vol. 161(C).
    29. Jyoti Dua & Hiran H. Lathabai & Vivek Kumar Singh, 2023. "Measuring and characterizing research collaboration in SAARC countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(2), pages 1265-1294, February.

  84. Loet Leydesdorff & Ping Zhou, 2014. "Measuring the knowledge-based economy of China in terms of synergy among technological, organizational, and geographic attributes of firms," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1703-1719, March.

    Cited by:

    1. Shouji Fujimoto & Takayuki Mizuno & Atushi Ishikawa, 2022. "Interpolation of non-random missing values in financial statements’ big data using CatBoost," Journal of Computational Social Science, Springer, vol. 5(2), pages 1281-1301, November.
    2. Zhang, Yi & Chen, Kaihua & Fu, Xiaolan, 2019. "Scientific effects of Triple Helix interactions among research institutes, industries and universities," Technovation, Elsevier, vol. 86, pages 33-47.
    3. Tao Zhuang & Zhixia Zhou & Qingjun Li, 2021. "University‐industry‐government triple helix relationship and regional innovation efficiency in China," Growth and Change, Wiley Blackwell, vol. 52(1), pages 349-370, March.
    4. Inga Ivanova & Oivind Strand & Duncan Kushnir & Loet Leydesdorff, 2015. "The Efficiency of Triple-Helix Relations in Innovation Systems: Measuring the Connection between a Country’S Net Income and its Knowledge Base," HSE Working papers WP BRP 55/STI/2015, National Research University Higher School of Economics.
    5. Jiao, Hao & Zhou, Jianghua & Gao, Taishan & Liu, Xielin, 2016. "The more interactions the better? The moderating effect of the interaction between local producers and users of knowledge on the relationship between R&D investment and regional innovation systems," Technological Forecasting and Social Change, Elsevier, vol. 110(C), pages 13-20.
    6. Inga Ivanova & Oivind Strand & Loet Leydesdorff, 2019. "The Synergy and Cycle Values in Regional Innovation Systems: The Case of Norway," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 13(1), pages 48-61.
    7. Tao, Zhuang & Shuliang, Zhao, 2022. "Collaborative innovation relationship in Yangtze River Delta of China: Subjects collaboration and spatial correlation," Technology in Society, Elsevier, vol. 69(C).
    8. Inga Ivanova & Oivind Strand & Loet Leydesdorff, 2014. "Synergy cycles in the Norwegian innovation system: The relation between synergy and cycle values," Papers 1409.2760, arXiv.org.
    9. Inga Ivanova, 2022. "The relation between complexity and synergy in the case of China: different ways of predicting GDP growth in a complex and adaptive system," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(1), pages 195-215, February.
    10. Weimin Kang & Shuliang Zhao & Wei Song & Tao Zhuang, 2019. "Triple helix in the science and technology innovation centers of China from the perspective of mutual information: a comparative study between Beijing and Shanghai," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 921-940, March.
    11. Porto-Gomez, Igone & Zabala-Iturriagagoitia, Jon Mikel & Leydesdorff, Loet, 2019. "Innovation systems in México: A matter of missing synergies," Technological Forecasting and Social Change, Elsevier, vol. 148(C).

  85. Chaomei Chen & Loet Leydesdorff, 2014. "Patterns of connections and movements in dual-map overlays: A new method of publication portfolio analysis," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(2), pages 334-351, February.

    Cited by:

    1. Zongmin Li & Shuyan Xu & Liming Yao, 2018. "A Systematic Literature Mining of Sponge City: Trends, Foci and Challenges Standing Ahead," Sustainability, MDPI, vol. 10(4), pages 1-19, April.
    2. Gisleine Carmo & Luiz Flávio Felizardo & Valderí Castro Alcântara & Cristiane Aparecida Silva & José Willer Prado, 2023. "The impact of Jürgen Habermas’s scientific production: a scientometric review," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(3), pages 1853-1875, March.
    3. Hailiang Li & M. James C. Crabbe & Haikui Chen, 2020. "History and Trends in Ecological Stoichiometry Research from 1992 to 2019: A Scientometric Analysis," Sustainability, MDPI, vol. 12(21), pages 1-21, October.
    4. Cailin Wang & Jidong Wu & Xin He & Mengqi Ye & Wenhui Liu & Rumei Tang, 2018. "Emerging Trends and New Developments in Disaster Research after the 2008 Wenchuan Earthquake," IJERPH, MDPI, vol. 16(1), pages 1-19, December.
    5. Jie Li & Floris Goerlandt & Karolien van Nunen & Koen Ponnet & Genserik Reniers, 2022. "Conceptualizing the Contextual Dynamics of Safety Climate and Safety Culture Research: A Comparative Scientometric Analysis," IJERPH, MDPI, vol. 19(2), pages 1-22, January.
    6. Yanqin Zhang & Xianli You & Shanjun Huang & Minhua Wang & Jianwen Dong, 2022. "Knowledge Atlas on the Relationship between Water Management and Constructed Wetlands—A Bibliometric Analysis Based on CiteSpace," Sustainability, MDPI, vol. 14(14), pages 1-28, July.
    7. Wang, Xinxin & Xu, Zeshui & Qin, Yong & Skare, Marinko, 2021. "Service networks for sustainable business: A dynamic evolution analysis over half a century," Journal of Business Research, Elsevier, vol. 136(C), pages 543-557.
    8. Meen Chul Kim & Yongjun Zhu & Chaomei Chen, 2016. "How are they different? A quantitative domain comparison of information visualization and data visualization (2000–2014)," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(1), pages 123-165, April.
    9. Setareh Boshrouei Shargh & Mostafa Zandieh & Ashkan Ayough & Farbod Farhadi, 2024. "Scheduling in services: a review and bibliometric analysis," Operations Management Research, Springer, vol. 17(2), pages 754-783, June.
    10. Ying Huang & Wolfgang Glänzel & Lin Zhang, 2021. "Tracing the development of mapping knowledge domains," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 6201-6224, July.
    11. Jingwei Han & Zhixiong Tan & Maozhi Chen & Liang Zhao & Ling Yang & Siying Chen, 2022. "Carbon Footprint Research Based on Input–Output Model—A Global Scientometric Visualization Analysis," IJERPH, MDPI, vol. 19(18), pages 1-23, September.
    12. Ruifeng Gong & Jian Xue & Laijun Zhao & Oleksandra Zolotova & Xiaoqing Ji & Yan Xu, 2019. "A Bibliometric Analysis of Green Supply Chain Management Based on the Web of Science (WOS) Platform," Sustainability, MDPI, vol. 11(12), pages 1-18, June.
    13. Hachicha, Fatma & Argoubi, Majdi & Guesmi, Khaled, 2024. "The knowledge domain and emerging trends in Behavioral Finance: A Scientometric Analysis," Research in International Business and Finance, Elsevier, vol. 70(PB).
    14. Liang Zhou & Lin Zhang & Ying Zhao & Ruoshu Zheng & Kaiwen Song, 2021. "A scientometric review of blockchain research," Information Systems and e-Business Management, Springer, vol. 19(3), pages 757-787, September.
    15. Meng-Lin Chen, 2018. "A Data-Driven Critical Review of Second Language Acquisition in the Past 30 Years," Publications, MDPI, vol. 6(3), pages 1-29, July.
    16. Luqi Wang & Xiaolong Xue & Zebin Zhao & Zeyu Wang, 2018. "The Impacts of Transportation Infrastructure on Sustainable Development: Emerging Trends and Challenges," IJERPH, MDPI, vol. 15(6), pages 1-24, June.
    17. Kaihuai Liao & Peiyi Lv & Shixiang Wei & Tianlan Fu, 2022. "A Scientometric Review of Residential Segregation Research: A CiteSpace-Based Visualization," Sustainability, MDPI, vol. 15(1), pages 1-21, December.
    18. Xu, Zeshui & Wang, Xindi & Wang, Xinxin & Skare, Marinko, 2021. "A comprehensive bibliometric analysis of entrepreneurship and crisis literature published from 1984 to 2020," Journal of Business Research, Elsevier, vol. 135(C), pages 304-318.
    19. Wang, Xinxin & Qin, Yong & Xu, Zeshui & Škare, Marinko, 2022. "A look at the focus shift in innovation literature due to Covid-19 pandemic," Journal of Business Research, Elsevier, vol. 145(C), pages 1-20.
    20. Ivan Heibi & Silvio Peroni, 2021. "A qualitative and quantitative analysis of open citations to retracted articles: the Wakefield 1998 et al.'s case," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(10), pages 8433-8470, October.
    21. Rodrigo Marçal Gandia & Fabio Antonialli & Bruna Habib & Arthur De Miranda Neto & Danilo Alves de Lima & Joel Yutaka & André Luiz & Isabelle Nicolaï, 2017. "Autonomous vehicles: Scientometric and bibliometric studies," Post-Print hal-01652939, HAL.
    22. Wentong Zhou & Ziheng Deng & Yong Liu & Hui Shen & Hongwen Deng & Hongmei Xiao, 2022. "Global Research Trends of Artificial Intelligence on Histopathological Images: A 20-Year Bibliometric Analysis," IJERPH, MDPI, vol. 19(18), pages 1-15, September.
    23. Xinxin Wang & Zeshui Xu & Yong Qin, 2022. "Structure, trend and prospect of operational research: a scientific analysis for publications from 1952 to 2020 included in Web of Science database," Fuzzy Optimization and Decision Making, Springer, vol. 21(4), pages 649-672, December.
    24. Rodrigo Marçal Gandia & Fabio Antonialli & Bruna Habib Cavazza & Arthur Miranda Neto & Danilo Alves de Lima & Joel Yutaka Sugano & Isabelle Nicolai & Andre Luiz Zambalde, 2019. "Autonomous vehicles: scientometric and bibliometric review," Transport Reviews, Taylor & Francis Journals, vol. 39(1), pages 9-28, January.
    25. Andrej Kastrin & Dimitar Hristovski, 2021. "Scientometric analysis and knowledge mapping of literature-based discovery (1986–2020)," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 1415-1451, February.
    26. Song Hu & Wenyu Zhou & Sheng Wang & Zhuoran Xiao & Quanfu Li & Huanping Zhou & Meiyun Liu & Huimin Deng & Juan Wei & Wanli Zhu & Hao Yang & Xin Lv, 2022. "Global Research Trends and Hotspots on Mitochondria in Acute Lung Injury from 2012–2021: A Bibliometric Analysis," IJERPH, MDPI, vol. 20(1), pages 1-20, December.
    27. Jieyin Lyu & Fuli Zhou & Yandong He, 2023. "Digital Technique-Enabled Container Logistics Supply Chain Sustainability Achievement," Sustainability, MDPI, vol. 15(22), pages 1-28, November.
    28. Carlos Olmeda-Gómez & Carlos Romá-Mateo & Maria-Antonia Ovalle-Perandones, 2019. "Overview of trends in global epigenetic research (2009–2017)," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(3), pages 1545-1574, June.
    29. Yanqin Zhang & Enming Ye & Fan Liu & Ningjing Lai & Xianli You & Jianwen Dong & Jiaying Dong, 2023. "The Relationship between Landscape Construction and Bird Diversity: A Bibliometric Analysis," IJERPH, MDPI, vol. 20(5), pages 1-21, March.
    30. Alfonso Ávila-Robinson & Shintaro Sengoku, 2017. "Tracing the knowledge-building dynamics in new stem cell technologies through techno-scientific networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1691-1720, September.
    31. Yao Xiao & Ziheng Deng & Hangjing Tan & Tiejian Jiang & Zhiheng Chen, 2022. "Bibliometric Analysis of the Knowledge Base and Future Trends on Sarcopenia from 1999–2021," IJERPH, MDPI, vol. 19(14), pages 1-17, July.
    32. Keng Yang & Hanying Qi, 2022. "Research on Health Disparities Related to the COVID-19 Pandemic: A Bibliometric Analysis," IJERPH, MDPI, vol. 19(3), pages 1-25, January.
    33. Jianhua Hou & Xiucai Yang & Chaomei Chen, 2018. "Emerging trends and new developments in information science: a document co-citation analysis (2009–2016)," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(2), pages 869-892, May.
    34. Abderahman Rejeb & John G. Keogh & Wayne Martindale & Damion Dooley & Edward Smart & Steven Simske & Samuel Fosso Wamba & John G. Breslin & Kosala Yapa Bandara & Subhasis Thakur & Kelly Liu & Bridgett, 2022. "Charting Past, Present, and Future Research in the Semantic Web and Interoperability," Future Internet, MDPI, vol. 14(6), pages 1-32, May.
    35. Duo Yang & Jincheng Zhou & Dingpu Shi & Qingna Pan & Dan Wang & Xiaohong Chen & Jiu Liu, 2022. "Research Status, Hotspots, and Evolutionary Trends of Global Digital Education via Knowledge Graph Analysis," Sustainability, MDPI, vol. 14(22), pages 1-20, November.
    36. Lishan Xu & Changlin Ao & Baoqi Liu & Zhenyu Cai, 2023. "Ecotourism and sustainable development: a scientometric review of global research trends," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(4), pages 2977-3003, April.
    37. Fei Zhai & Yuxuan Zhai & Chuang Cong & Tingyan Song & Rongwu Xiang & Tianyi Feng & Zhengxuan Liang & Ya Zeng & Jing Yang & Jie Yang & Jiankun Liang, 2020. "Research Progress of Coronavirus Based on Bibliometric Analysis," IJERPH, MDPI, vol. 17(11), pages 1-15, May.
    38. Mostafa, Mohamed M., 2022. "Five decades of catastrophe theory research: Geographical atlas, knowledge structure and historical roots," Chaos, Solitons & Fractals, Elsevier, vol. 159(C).
    39. Ze Wei & Hui Liu & Xuewen Tao & Kai Pan & Rui Huang & Wenjing Ji & Jianhai Wang, 2023. "Insights into the Application of Machine Learning in Industrial Risk Assessment: A Bibliometric Mapping Analysis," Sustainability, MDPI, vol. 15(8), pages 1-29, April.
    40. Dingpu Shi & Jincheng Zhou & Dan Wang & Xiaopeng Wu, 2022. "Research Status, Hotspots, and Evolutionary Trends of Intelligent Education from the Perspective of Knowledge Graph," Sustainability, MDPI, vol. 14(17), pages 1-18, September.

  86. Loet Leydesdorff & Duncan Kushnir & Ismael Rafols, 2014. "Interactive overlay maps for US patent (USPTO) data based on International Patent Classification (IPC)," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1583-1599, March.

    Cited by:

    1. Dalziel, Margaret & Basir, Nada, 2024. "The technological imprinting of educational experiences on student startups," Research Policy, Elsevier, vol. 53(2).
    2. Quentin Plantec & Pascal Le Masson & Benoit Weil, 2020. "Impact of knowledge search practices on the originality of inventions: a study in the oil & gas industry," Post-Print hal-02613665, HAL.
    3. Núria Bautista-Puig & Daniela De Filippo & Elba Mauleón & Elías Sanz-Casado, 2019. "Scientific Landscape of Citizen Science Publications: Dynamics, Content and Presence in Social Media," Publications, MDPI, vol. 7(1), pages 1-22, February.
    4. Loet Leydesdorff & Dieter Franz Kogler & Bowen Yan, 2017. "Mapping patent classifications: portfolio and statistical analysis, and the comparison of strengths and weaknesses," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1573-1591, September.
    5. Barbieri, Nicolò & Marzucchi, Alberto & Rizzo, Ugo, 2020. "Knowledge sources and impacts on subsequent inventions: Do green technologies differ from non-green ones?," Research Policy, Elsevier, vol. 49(2).
    6. Stefano Basilico & Holger Graf, 2023. "Bridging technologies in the regional knowledge space: measurement and evolution," Journal of Evolutionary Economics, Springer, vol. 33(4), pages 1085-1124, September.
    7. Zhao Qu & Shanshan Zhang & Chunbo Zhang, 2017. "Patent research in the field of library and information science: Less useful or difficult to explore?," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(1), pages 205-217, April.
    8. Mikhail Rogov & Céline Rozenblat, 2018. "Urban Resilience Discourse Analysis: Towards a Multi-Level Approach to Cities," Sustainability, MDPI, vol. 10(12), pages 1-21, November.
    9. Lyu, Yibo & Zhu, Yuqing & Han, Shaojie & He, Binyuan & Bao, Lining, 2020. "Open innovation and innovation "Radicalness"—the moderating effect of network embeddedness," Technology in Society, Elsevier, vol. 62(C).
    10. Zhenfu Li & Yixuan Wang & Zhao Deng, 2022. "Research on Evolution Characteristics and Factors of Nordic Green Patent Citation Network," Sustainability, MDPI, vol. 14(13), pages 1-21, June.
    11. Takano, Yasutomo & Kajikawa, Yuya, 2019. "Extracting commercialization opportunities of the Internet of Things: Measuring text similarity between papers and patents," Technological Forecasting and Social Change, Elsevier, vol. 138(C), pages 45-68.
    12. Ying Huang & Wolfgang Glänzel & Lin Zhang, 2021. "Tracing the development of mapping knowledge domains," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 6201-6224, July.
    13. Jeff Alstott & Giorgio Triulzi & Bowen Yan & Jianxi Luo, 2017. "Mapping technology space by normalizing patent networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(1), pages 443-479, January.
    14. Rongying Zhao & Bikun Chen, 2014. "Applying author co-citation analysis to user interaction analysis: a case study on instant messaging groups," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 985-997, November.
    15. Nicolò Barbieri, 2014. "Investigating the impacts of technological position and European environmental regulation on green automotive patent activity," SEEDS Working Papers 3114, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised Dec 2014.
    16. Xiaotian Yang, 2022. "Coopetition for innovation in R&D consortia: Moderating roles of size disparity and formal interaction," Asia Pacific Journal of Management, Springer, vol. 39(1), pages 79-102, March.
    17. Rotolo, Daniele & Hicks, Diana & Martin, Ben R., 2015. "What is an emerging technology?," Research Policy, Elsevier, vol. 44(10), pages 1827-1843.
    18. Hiroko Nakamura & Shinji Suzuki & Yuya Kajikawa & Masataka Osawa, 2015. "The effect of patent family information in patent citation network analysis: a comparative case study in the drivetrain domain," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(2), pages 437-452, August.
    19. Jingjing Zhang & Yan Yan & Jiancheng Guan, 2015. "Scientific relatedness in solar energy: a comparative study between the USA and China," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1595-1613, February.
    20. Song, Bomi & Suh, Yongyoon, 2019. "Identifying convergence fields and technologies for industrial safety: LDA-based network analysis," Technological Forecasting and Social Change, Elsevier, vol. 138(C), pages 115-126.
    21. Takano, Yasutomo & Mejia, Cristian & Kajikawa, Yuya, 2016. "Unconnected component inclusion technique for patent network analysis: Case study of Internet of Things-related technologies," Journal of Informetrics, Elsevier, vol. 10(4), pages 967-980.
    22. Rosa Maria Arnaldo Valdés & Serhat Burmaoglu & Vincenzo Tucci & Luiz Manuel Braga da Costa Campos & Lucia Mattera & Víctor Fernando Gomez Comendador, 2019. "Flight Path 2050 and ACARE Goals for Maintaining and Extending Industrial Leadership in Aviation: A Map of the Aviation Technology Space," Sustainability, MDPI, vol. 11(7), pages 1-24, April.
    23. Hofmann, Peter & Keller, Robert & Urbach, Nils, 2019. "Inter-technology relationship networks: Arranging technologies through text mining," Technological Forecasting and Social Change, Elsevier, vol. 143(C), pages 202-213.
    24. Shu-Hao Chang, 2018. "A pilot study on the connection between scientific fields and patent classification systems," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(3), pages 951-970, March.
    25. Zhang, Zhengang & Luo, Taiye, 2020. "Network capital, exploitative and exploratory innovations——from the perspective of network dynamics," Technological Forecasting and Social Change, Elsevier, vol. 152(C).
    26. Cristina Páez-Avilés & Frank J. Rijnsoever & Esteve Juanola-Feliu & Josep Samitier, 2018. "Multi-disciplinarity breeds diversity: the influence of innovation project characteristics on diversity creation in nanotechnology," The Journal of Technology Transfer, Springer, vol. 43(2), pages 458-481, April.
    27. Loet Leydesdorff, 2015. "Can technology life-cycles be indicated by diversity in patent classifications? The crucial role of variety," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1441-1451, December.
    28. Yan Yan & Jiancheng Guan, 2018. "How multiple networks help in creating knowledge: evidence from alternative energy patents," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(1), pages 51-77, April.
    29. Andrea Bonaccorsi & Filippo Chiarello & Gualtiero Fantoni, 2021. "Impact for whom? Mapping the users of public research with lexicon-based text mining," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 1745-1774, February.
    30. Plantec, Quentin & Le Masson, Pascal & Weil, Benoît, 2021. "Impact of knowledge search practices on the originality of inventions: A study in the oil & gas industry through dynamic patent analysis," Technological Forecasting and Social Change, Elsevier, vol. 168(C).
    31. H. Simon & N. Sick, 2016. "Technological distance measures: new perspectives on nearby and far away," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(3), pages 1299-1320, June.
    32. Jorge Nogueira de Paiva Britto & Leonardo Costa Ribeiro & Lucas Teixeira Araújo & Eduardo da Motta e Albuquerque, 2019. "Patent citations, knowledge flows and catching-up: evidences of different national experiences for the period 1982-2006," Textos para Discussão Cedeplar-UFMG 606, Cedeplar, Universidade Federal de Minas Gerais.
    33. Zhang, Yi & Shang, Lining & Huang, Lu & Porter, Alan L. & Zhang, Guangquan & Lu, Jie & Zhu, Donghua, 2016. "A hybrid similarity measure method for patent portfolio analysis," Journal of Informetrics, Elsevier, vol. 10(4), pages 1108-1130.
    34. Manohar, Mahesh & Lathabai, H.H. & George, Susan & Prabhakaran, Thara, 2018. "Wire-free electricity: Insights from a techno-futuristic exploration," Utilities Policy, Elsevier, vol. 53(C), pages 3-14.
    35. Kuan, Chung-Huei & Chen, Dar-Zen & Huang, Mu-Hsuan, 2019. "Bibliographically coupled patents: Their temporal pattern and combined relevance," Journal of Informetrics, Elsevier, vol. 13(4).
    36. Koopo Kwon & Jaeryong So, 2023. "Future Smart Logistics Technology Based on Patent Analysis Using Temporal Network," Sustainability, MDPI, vol. 15(10), pages 1-17, May.
    37. Park, Youngjin & Yoon, Janghyeok, 2017. "Application technology opportunity discovery from technology portfolios: Use of patent classification and collaborative filtering," Technological Forecasting and Social Change, Elsevier, vol. 118(C), pages 170-183.
    38. Tao Hu & Yin Zhang, 2021. "A spatial–temporal network analysis of patent transfers from U.S. universities to firms," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 27-54, January.
    39. Jumi Hwang & Kyung Hee Kim & Jong Gyu Hwang & Sungchan Jun & Jiwon Yu & Chulung Lee, 2020. "Technological Opportunity Analysis: Assistive Technology for Blind and Visually Impaired People," Sustainability, MDPI, vol. 12(20), pages 1-17, October.
    40. Yi Zhang & Yue Qian & Ying Huang & Ying Guo & Guangquan Zhang & Jie Lu, 2017. "An entropy-based indicator system for measuring the potential of patents in technological innovation: rejecting moderation," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1925-1946, June.
    41. Su, Yu-Shan & Huang, Hsini & Daim, Tugrul & Chien, Pan-Wei & Peng, Ru-Ling & Karaman Akgul, Arzu, 2023. "Assessing the technological trajectory of 5G-V2X autonomous driving inventions: Use of patent analysis," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    42. Koopo Kwon & Sungchan Jun & Yong-Jae Lee & Sanghei Choi & Chulung Lee, 2022. "Logistics Technology Forecasting Framework Using Patent Analysis for Technology Roadmap," Sustainability, MDPI, vol. 14(9), pages 1-30, April.
    43. Kevin W. Boyack, 2017. "Thesaurus-based methods for mapping contents of publication sets," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 1141-1155, May.
    44. Kuan, Chung-Huei & Huang, Mu-Hsuan & Chen, Dar-Zen, 2018. "Missing links: Timing characteristics and their implications for capturing contemporaneous technological developments," Journal of Informetrics, Elsevier, vol. 12(1), pages 259-270.
    45. Guangtong Li & L. Siddharth & Jianxi Luo, 2023. "Embedding knowledge graph of patent metadata to measure knowledge proximity," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 74(4), pages 476-490, April.
    46. Wenjing Zhu & Bohong Ma & Lele Kang, 2022. "Technology convergence among various technical fields: improvement of entropy estimation in patent analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7731-7750, December.
    47. Yi Bu & Mengyang Li & Weiye Gu & Win‐bin Huang, 2021. "Topic diversity: A discipline scheme‐free diversity measurement for journals," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(5), pages 523-539, May.
    48. Leng, Zhihui & Sun, Han & Cheng, Jinhua & Wang, Hai & Yao, Zhen, 2021. "China's rare earth industry technological innovation structure and driving factors: A social network analysis based on patents," Resources Policy, Elsevier, vol. 73(C).

  87. Susanne E. Baumgartner & Loet Leydesdorff, 2014. "Group-based trajectory modeling (GBTM) of citations in scholarly literature: Dynamic qualities of “transient” and “sticky knowledge claims”," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(4), pages 797-811, April.

    Cited by:

    1. Colavizza, Giovanni & Franceschet, Massimo, 2016. "Clustering citation histories in the Physical Review," Journal of Informetrics, Elsevier, vol. 10(4), pages 1037-1051.
    2. Giovanni Abramo & Ciriaco Andrea D’Angelo, 2021. "A bibliometric methodology to unveil territorial inequities in the scientific wealth to combat COVID-19," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(8), pages 6601-6624, August.
    3. Lutz Bornmann & Adam Y. Ye & Fred Y. Ye, 2018. "Identifying “hot papers” and papers with “delayed recognition” in large-scale datasets by using dynamically normalized citation impact scores," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(2), pages 655-674, August.
    4. Hou, Jianhua & Yang, Xiucai, 2020. "Social media-based sleeping beauties: Defining, identifying and features," Journal of Informetrics, Elsevier, vol. 14(2).
    5. Muhammad Omar & Arif Mehmood & Gyu Sang Choi & Han Woo Park, 2017. "Global mapping of artificial intelligence in Google and Google Scholar," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(3), pages 1269-1305, December.
    6. Onodera, Natsuo, 2016. "Properties of an index of citation durability of an article," Journal of Informetrics, Elsevier, vol. 10(4), pages 981-1004.
    7. Mingers, John & Leydesdorff, Loet, 2015. "A review of theory and practice in scientometrics," European Journal of Operational Research, Elsevier, vol. 246(1), pages 1-19.
    8. Mansour Haghighat & Javad Hayatdavoudi, 2021. "How hot are hot papers? The issue of prolificacy and self-citation stacking," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 565-578, January.
    9. Thelwall, Mike & Wilson, Paul, 2014. "Regression for citation data: An evaluation of different methods," Journal of Informetrics, Elsevier, vol. 8(4), pages 963-971.
    10. Abramo, Giovanni, 2018. "Revisiting the scientometric conceptualization of impact and its measurement," Journal of Informetrics, Elsevier, vol. 12(3), pages 590-597.
    11. Loet Leydesdorff & Paul Wouters & Lutz Bornmann, 2016. "Professional and citizen bibliometrics: complementarities and ambivalences in the development and use of indicators—a state-of-the-art report," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 2129-2150, December.
    12. Zhang, Ruizhi & Wang, Jian & Mei, Yajun, 2017. "Search for evergreens in science: A functional data analysis," Journal of Informetrics, Elsevier, vol. 11(3), pages 629-644.
    13. Guoliang Lyu & Ganwei Shi, 2019. "On an approach to boosting a journal’s citation potential," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(3), pages 1387-1409, September.
    14. Dag W. Aksnes & Liv Langfeldt & Paul Wouters, 2019. "Citations, Citation Indicators, and Research Quality: An Overview of Basic Concepts and Theories," SAGE Open, , vol. 9(1), pages 21582440198, February.
    15. Jianhua Hou & Xiucai Yang, 2019. "Patent sleeping beauties: evolutionary trajectories and identification methods," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(1), pages 187-215, July.
    16. Winnink, J.J. & Tijssen, Robert J.W. & van Raan, A.F.J., 2019. "Searching for new breakthroughs in science: How effective are computerised detection algorithms?," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 673-686.
    17. Lutz Bornmann & Adam Y. Ye & Fred Y. Ye, 2017. "Sequence analysis of annually normalized citation counts: an empirical analysis based on the characteristic scores and scales (CSS) method," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(3), pages 1665-1680, December.
    18. Abramo, Giovanni & D’Angelo, Ciriaco Andrea & Felici, Giovanni, 2019. "Predicting publication long-term impact through a combination of early citations and journal impact factor," Journal of Informetrics, Elsevier, vol. 13(1), pages 32-49.
    19. McLevey, John & McIlroy-Young, Reid, 2017. "Introducing metaknowledge: Software for computational research in information science, network analysis, and science of science," Journal of Informetrics, Elsevier, vol. 11(1), pages 176-197.

  88. Loet Leydesdorff & Filippo Radicchi & Lutz Bornmann & Claudio Castellano & Wouter de Nooy, 2013. "Field‐normalized impact factors (IFs): A comparison of rescaling and fractionally counted IFs," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 64(11), pages 2299-2309, November.

    Cited by:

    1. Bornmann, Lutz & Haunschild, Robin, 2016. "Normalization of Mendeley reader impact on the reader- and paper-side: A comparison of the mean discipline normalized reader score (MDNRS) with the mean normalized reader score (MNRS) and bare reader ," Journal of Informetrics, Elsevier, vol. 10(3), pages 776-788.
    2. George Vrettas & Mark Sanderson, 2015. "Conferences versus journals in computer science," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(12), pages 2674-2684, December.
    3. Lutz Bornmann & Alexander Tekles & Loet Leydesdorff, 2019. "How well does I3 perform for impact measurement compared to other bibliometric indicators? The convergent validity of several (field-normalized) indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 1187-1205, May.
    4. Mingers, John & Leydesdorff, Loet, 2015. "A review of theory and practice in scientometrics," European Journal of Operational Research, Elsevier, vol. 246(1), pages 1-19.
    5. Albarrán, Pedro & Perianes-Rodríguez, Antonio, 2013. "Differences in citation impact across countries," UC3M Working papers. Economics we1229, Universidad Carlos III de Madrid. Departamento de Economía.
    6. Bornmann, Lutz & Haunschild, Robin, 2016. "Citation score normalized by cited references (CSNCR): The introduction of a new citation impact indicator," Journal of Informetrics, Elsevier, vol. 10(3), pages 875-887.
    7. Bornmann, Lutz & Marx, Werner, 2015. "Methods for the generation of normalized citation impact scores in bibliometrics: Which method best reflects the judgements of experts?," Journal of Informetrics, Elsevier, vol. 9(2), pages 408-418.
    8. Cristiano Varin & Manuela Cattelan & David Firth, 2016. "Statistical modelling of citation exchange between statistics journals," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 179(1), pages 1-63, January.
    9. Li, Menghui & Yang, Liying & Zhang, Huina & Shen, Zhesi & Wu, Chensheng & Wu, Jinshan, 2017. "Do mathematicians, economists and biomedical scientists trace large topics more strongly than physicists?," Journal of Informetrics, Elsevier, vol. 11(2), pages 598-607.
    10. Hiran H. Lathabai & Thara Prabhakaran, 2023. "Contextual Ψ-index and its estimate for contextual productivity assessment," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(8), pages 4875-4886, August.
    11. Li, Yunrong & Radicchi, Filippo & Castellano, Claudio & Ruiz-Castillo, Javier, 2013. "Quantitative evaluation of alternative field normalization procedures," Journal of Informetrics, Elsevier, vol. 7(3), pages 746-755.
    12. Waltman, Ludo, 2016. "A review of the literature on citation impact indicators," Journal of Informetrics, Elsevier, vol. 10(2), pages 365-391.
    13. Waltman, Ludo & van Eck, Nees Jan, 2013. "A systematic empirical comparison of different approaches for normalizing citation impact indicators," Journal of Informetrics, Elsevier, vol. 7(4), pages 833-849.
    14. Lutz Bornmann & Werner Marx & Andreas Barth, 2013. "The Normalization of Citation Counts Based on Classification Systems," Publications, MDPI, vol. 1(2), pages 1-9, August.
    15. Fairclough, Ruth & Thelwall, Mike, 2015. "National research impact indicators from Mendeley readers," Journal of Informetrics, Elsevier, vol. 9(4), pages 845-859.
    16. Cristian Colliander & Per Ahlgren, 2019. "Comparison of publication-level approaches to ex-post citation normalization," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(1), pages 283-300, July.
    17. Ennas, Gianfranco & Di Guardo, Maria Chiara, 2015. "Features of top-rated gold open access journals: An analysis of the scopus database," Journal of Informetrics, Elsevier, vol. 9(1), pages 79-89.
    18. Denis Bouyssou & Thierry Marchant, 2016. "Ranking authors using fractional counting of citations: An axiomatic approach," Post-Print hal-01397699, HAL.
    19. Elizabeth S. Vieira, 2023. "The influence of research collaboration on citation impact: the countries in the European Innovation Scoreboard," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(6), pages 3555-3579, June.

  89. Michelina Venditti & Emanuela Reale & Loet Leydesdorff, 2013. "Disclosure of university research to third parties: A non-market perspective on an Italian university," Science and Public Policy, Oxford University Press, vol. 40(6), pages 792-800, July.

    Cited by:

    1. Xu-hua Chang & Qiang Chen & Patrick S. W. Fong, 2017. "University invention disclosure: balancing the optimal stage and type," The Journal of Technology Transfer, Springer, vol. 42(3), pages 510-537, June.
    2. Compagnucci, Lorenzo & Spigarelli, Francesca, 2020. "The Third Mission of the university: A systematic literature review on potentials and constraints," Technological Forecasting and Social Change, Elsevier, vol. 161(C).

  90. Loet Leydesdorff & Stephen Carley & Ismael Rafols, 2013. "Global maps of science based on the new Web-of-Science categories," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(2), pages 589-593, February.

    Cited by:

    1. Shiji Chen & Clément Arsenault & Yves Gingras & Vincent Larivière, 2015. "Exploring the interdisciplinary evolution of a discipline: the case of Biochemistry and Molecular Biology," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1307-1323, February.
    2. Xiaojie Yao & Yuan Hu & Huaping Gong & Dongyou Chen, 2021. "Characteristics and Evolution of China’s Industry–University–Research Collaboration to Promote the Sustainable Development: Based on Policy Text Analysis," Sustainability, MDPI, vol. 13(23), pages 1-18, November.
    3. Seokbeom Kwon & Alan Porter & Jan Youtie, 2016. "Navigating the innovation trajectories of technology by combining specialization score analyses for publications and patents: graphene and nano-enabled drug delivery," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(3), pages 1057-1071, March.
    4. Ricardo Arencibia-Jorge & Rosa Lidia Vega-Almeida & José Luis Jiménez-Andrade & Humberto Carrillo-Calvet, 2022. "Evolutionary stages and multidisciplinary nature of artificial intelligence research," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(9), pages 5139-5158, September.
    5. Seyyed Ali Delbari & Siew Imm Ng & Yuhanis Abdul Aziz & Jo Ann Ho, 2015. "Measuring the influence and impact of competitiveness research: a Web of Science approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(2), pages 773-788, November.
    6. Sara Sassetti & Giacomo Marzi & Vincenzo Cavaliere & Cristiano Ciappei, 2018. "Entrepreneurial cognition and socially situated approach: a systematic and bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(3), pages 1675-1718, September.
    7. Hyejin Park & Han Woo Park, 2018. "Two-side face of knowledge building using scientometric analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(6), pages 2815-2836, November.
    8. Juan Miguel Campanario, 2018. "Are leaders really leading? Journals that are first in Web of Science subject categories in the context of their groups," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(1), pages 111-130, April.
    9. Timothy D. Bowman & Andrew Tsou & Chaoqun Ni & Cassidy R. Sugimoto, 2014. "Post-interdisciplinary frames of reference: exploring permeability and perceptions of disciplinarity in the social sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(3), pages 1695-1714, December.
    10. Xiaozan Lyu & Ping Zhou & Loet Leydesdorff, 2020. "Eco-system mapping of techno-science linkages at the level of scholarly journals and fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2037-2055, September.
    11. Hric, Darko & Kaski, Kimmo & Kivelä, Mikko, 2018. "Stochastic block model reveals maps of citation patterns and their evolution in time," Journal of Informetrics, Elsevier, vol. 12(3), pages 757-783.
    12. María del Carmen Calatrava Moreno & Thomas Auzinger & Hannes Werthner, 2016. "On the uncertainty of interdisciplinarity measurements due to incomplete bibliographic data," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(1), pages 213-232, April.
    13. Anna Kiss & Sándor Soós & Andrea Petróczi, 2024. "Impact as equalizer: the demise of gender-related differences in anti-doping research," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(7), pages 4071-4108, July.
    14. Guan, Jiancheng & Yan, Yan & Zhang, Jing Jing, 2017. "The impact of collaboration and knowledge networks on citations," Journal of Informetrics, Elsevier, vol. 11(2), pages 407-422.
    15. Raminta Pranckutė, 2021. "Web of Science (WoS) and Scopus: The Titans of Bibliographic Information in Today’s Academic World," Publications, MDPI, vol. 9(1), pages 1-59, March.
    16. Gibson, Elizabeth & Daim, Tugrul U. & Dabic, Marina, 2019. "Evaluating university industry collaborative research centers," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 181-202.
    17. Li, Jing & Yu, Qian, 2024. "Scientists’ disciplinary characteristics and collaboration behaviour under the convergence paradigm: A multilevel network perspective," Journal of Informetrics, Elsevier, vol. 18(1).
    18. Yoshi-aki Shimada & Jun Suzuki, 2017. "Promoting scientodiversity inspired by biodiversity," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(3), pages 1463-1479, December.
    19. Katia A. Figueroa-Rodríguez & Francisco Hernández-Rosas & Benjamín Figueroa-Sandoval & Joel Velasco-Velasco & Noé Aguilar Rivera, 2019. "What Has Been the Focus of Sugarcane Research? A Bibliometric Overview," IJERPH, MDPI, vol. 16(18), pages 1-15, September.
    20. Patrick Wolf & Tobias Buchmann, 2021. "Analyzing development patterns in research networks and technology," Review of Evolutionary Political Economy, Springer, vol. 2(1), pages 55-81, April.
    21. Luba Katz & Rebecca V Fink & Samuel R Bozeman & Barbara J McNeil, 2014. "Using Health Care Utilization and Publication Patterns to Characterize the Research Portfolio and to Plan Future Research Investments," PLOS ONE, Public Library of Science, vol. 9(12), pages 1-12, December.
    22. Leydesdorff, Loet & Bornmann, Lutz & Zhou, Ping, 2016. "Construction of a pragmatic base line for journal classifications and maps based on aggregated journal-journal citation relations," Journal of Informetrics, Elsevier, vol. 10(4), pages 902-918.
    23. Giacomo Marzi & Marina Dabić & Tugrul Daim & Edwin Garces, 2017. "Product and process innovation in manufacturing firms: a 30-year bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(2), pages 673-704, November.
    24. Jielan Ding & Per Ahlgren & Liying Yang & Ting Yue, 2018. "Disciplinary structures in Nature, Science and PNAS: journal and country levels," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(3), pages 1817-1852, September.
    25. Thorsten Lammers & Dilek Cetindamar & Maren Borkert, 2021. "A Digital Tale of Two Cities—Observing the Dynamics of the Artificial Intelligence Ecosystems in Berlin and Sydney," Sustainability, MDPI, vol. 13(19), pages 1-19, September.
    26. Nieminen, Paavo & Pölönen, Ilkka & Sipola, Tuomo, 2013. "Research literature clustering using diffusion maps," Journal of Informetrics, Elsevier, vol. 7(4), pages 874-886.
    27. Yuxian Liu & Ewelina Biskup & Yueqian Wang & Fengfeng Cai & Xiaoyan Zhang, 2020. "A new territory and its pioneer: opening up a dominant research stream for a translational research area," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1213-1228, November.
    28. Shu-Hao Chang, 2018. "A pilot study on the connection between scientific fields and patent classification systems," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(3), pages 951-970, March.
    29. Rousseau, Ronald & Guns, Raf & Rahman, A.I.M. Jakaria & Engels, Tim C.E., 2017. "Measuring cognitive distance between publication portfolios," Journal of Informetrics, Elsevier, vol. 11(2), pages 583-594.
    30. KWON Seokbeom & MOTOHASHI Kazuyuki, 2020. "Incentive or Disincentive for Disclosure of Research Data? A Large-Scale Empirical Analysis and Implications for Open Science Policy," Discussion papers 20058, Research Institute of Economy, Trade and Industry (RIETI).
    31. Liang Zhuang & Chao Ye & Scott N. Lieske, 2020. "Intertwining globality and locality: bibliometric analysis based on the top geography annual conferences in America and China," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(2), pages 1075-1096, February.
    32. Jiancheng Guan & Yan Yan & Jingjing Zhang, 2015. "How do collaborative features affect scientific output? Evidences from wind power field," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 333-355, January.
    33. Kosztyán, Zsolt T. & Csizmadia, Tibor & Katona, Attila I., 2021. "SIMILAR – Systematic iterative multilayer literature review method," Journal of Informetrics, Elsevier, vol. 15(1).
    34. T. Gorjiara & C. Baldock, 2014. "Nanoscience and nanotechnology research publications: a comparison between Australia and the rest of the world," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(1), pages 121-148, July.
    35. Merigó, José M. & Yang, Jian-Bo, 2017. "A bibliometric analysis of operations research and management science," Omega, Elsevier, vol. 73(C), pages 37-48.
    36. Andrea Bonaccorsi & Filippo Chiarello & Gualtiero Fantoni, 2021. "Impact for whom? Mapping the users of public research with lexicon-based text mining," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 1745-1774, February.
    37. Bruce A. Desmarais & John A. Hird, 2014. "Public policy's bibliography: The use of research in US regulatory impact analyses," Regulation & Governance, John Wiley & Sons, vol. 8(4), pages 497-510, December.
    38. Francesca Bartolacci & Andrea Caputo & Michela Soverchia, 2020. "Sustainability and financial performance of small and medium sized enterprises: A bibliometric and systematic literature review," Business Strategy and the Environment, Wiley Blackwell, vol. 29(3), pages 1297-1309, March.
    39. Wenceslao Arroyo-Machado & Daniel Torres-Salinas & Nicolas Robinson-Garcia, 2021. "Identifying and characterizing social media communities: a socio-semantic network approach to altmetrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(11), pages 9267-9289, November.
    40. Weishu Liu, 2019. "The data source of this study is Web of Science Core Collection? Not enough," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(3), pages 1815-1824, December.
    41. Sun, Xiaoling & Ding, Kun & Lin, Yuan, 2016. "Mapping the evolution of scientific fields based on cross-field authors," Journal of Informetrics, Elsevier, vol. 10(3), pages 750-761.
    42. Carlos Olmeda-Gómez & Carlos Romá-Mateo & Maria-Antonia Ovalle-Perandones, 2019. "Overview of trends in global epigenetic research (2009–2017)," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(3), pages 1545-1574, June.
    43. Weishu Liu & Mengdi Gu & Guangyuan Hu & Chao Li & Huchang Liao & Li Tang & Philip Shapira, 2014. "Profile of developments in biomass-based bioenergy research: a 20-year perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(2), pages 507-521, May.
    44. Cecere, Grazia & Martinelli, Arianna, 2017. "Drivers of knowledge accumulation in electronic waste management: An analysis of publication data," Research Policy, Elsevier, vol. 46(5), pages 925-938.
    45. Ying Huang & Donghua Zhu & Qi Lv & Alan L. Porter & Douglas K. R. Robinson & Xuefeng Wang, 2017. "Early insights on the Emerging Sources Citation Index (ESCI): an overlay map-based bibliometric study," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 2041-2057, June.
    46. Woodson, Thomas & Alcantara, Julia Torres & do Nascimento, Milena Silva, 2019. "Is 3D printing an inclusive innovation?: An examination of 3D printing in Brazil," Technovation, Elsevier, vol. 80, pages 54-62.
    47. Junwen Zhu & Weishu Liu, 2020. "A tale of two databases: the use of Web of Science and Scopus in academic papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(1), pages 321-335, April.
    48. Cian O’Donovan & Aleksandra (Ola) Michalec & Joshua R. Moon, 2020. "Capabilities for Transdisciplinary Research. An Evaluation Framework and Lessons from the ESRC Nexus Network +," SPRU Working Paper Series 2020-12, SPRU - Science Policy Research Unit, University of Sussex Business School.
    49. Meihui Li & Na Luo & Yi Lu, 2017. "Biomass Energy Technological Paradigm (BETP): Trends in This Sector," Sustainability, MDPI, vol. 9(4), pages 1-28, April.
    50. Rahman, A.I.M. Jakaria & Guns, Raf & Rousseau, Ronald & Engels, Tim C.E., 2015. "Is the expertise of evaluation panels congruent with the research interests of the research groups: A quantitative approach based on barycenters," Journal of Informetrics, Elsevier, vol. 9(4), pages 704-721.
    51. Andrea Bonaccorsi & Nicola Melluso & Francesco Alessandro Massucci, 2022. "Exploring the antecedents of interdisciplinarity at the European Research Council: a topic modeling approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 6961-6991, December.
    52. Wolfram, Dietmar & Zhao, Yuehua, 2014. "A comparison of journal similarity across six disciplines using citing discipline analysis," Journal of Informetrics, Elsevier, vol. 8(4), pages 840-853.
    53. Yi Bu & Mengyang Li & Weiye Gu & Win‐bin Huang, 2021. "Topic diversity: A discipline scheme‐free diversity measurement for journals," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(5), pages 523-539, May.
    54. Jungjoon Kim & Sangpil Lee & We Shim & Jongseok Kang, 2016. "A Mapping of Marine Biodiversity Research Trends and Collaboration in the East Asia Region from 1996–2015," Sustainability, MDPI, vol. 8(10), pages 1-17, October.
    55. Shir Aviv-Reuven & Ariel Rosenfeld, 2023. "A logical set theory approach to journal subject classification analysis: intra-system irregularities and inter-system discrepancies in Web of Science and Scopus," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(1), pages 157-175, January.
    56. Stephen F. Carley & Seokbeom Kwon & Alan L. Porter & Jan L. Youtie, 2019. "The relationship between forward and backward diversity in CORE datasets," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(3), pages 961-974, September.

  91. Bornmann, Lutz & Leydesdorff, Loet & Mutz, Rüdiger, 2013. "The use of percentiles and percentile rank classes in the analysis of bibliometric data: Opportunities and limits," Journal of Informetrics, Elsevier, vol. 7(1), pages 158-165.

    Cited by:

    1. Lando, Tommaso & Bertoli-Barsotti, Lucio, 2017. "Measuring the citation impact of journals with generalized Lorenz curves," Journal of Informetrics, Elsevier, vol. 11(3), pages 689-703.
    2. Lutz Bornmann & Klaus Wohlrabe & Felix Moya Anegon, 2017. "Calculating the excellence shift: How efficiently do institutions produce highly cited papers?," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1859-1864, September.
    3. Bornmann, Lutz & Leydesdorff, Loet & Wang, Jian, 2014. "How to improve the prediction based on citation impact percentiles for years shortly after the publication date?," Journal of Informetrics, Elsevier, vol. 8(1), pages 175-180.
    4. Schreiber, Michael, 2014. "How to improve the outcome of performance evaluations in terms of percentiles for citation frequencies of my papers," Journal of Informetrics, Elsevier, vol. 8(4), pages 873-879.
    5. Bornmann, Lutz & Leydesdorff, Loet, 2017. "Skewness of citation impact data and covariates of citation distributions: A large-scale empirical analysis based on Web of Science data," Journal of Informetrics, Elsevier, vol. 11(1), pages 164-175.
    6. Dunaiski, Marcel & Geldenhuys, Jaco & Visser, Willem, 2019. "On the interplay between normalisation, bias, and performance of paper impact metrics," Journal of Informetrics, Elsevier, vol. 13(1), pages 270-290.
    7. Péter Vinkler, 2019. "Core journals and elite subsets in scientometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(1), pages 241-259, October.
    8. Thor, Andreas & Marx, Werner & Leydesdorff, Loet & Bornmann, Lutz, 2016. "Introducing CitedReferencesExplorer (CRExplorer): A program for reference publication year spectroscopy with cited references standardization," Journal of Informetrics, Elsevier, vol. 10(2), pages 503-515.
    9. Rodríguez-Navarro, Alonso & Brito, Ricardo, 2018. "Technological research in the EU is less efficient than the world average. EU research policy risks Europeans’ future," Journal of Informetrics, Elsevier, vol. 12(3), pages 718-731.
    10. Bornmann, Lutz & Adams, Jonathan & Leydesdorff, Loet, 2018. "The negative effects of citing with a national orientation in terms of recognition: National and international citations in natural-sciences papers from Germany, the Netherlands, and the UK," Journal of Informetrics, Elsevier, vol. 12(3), pages 931-949.
    11. Ping Zhou & Lutz Bornmann, 2015. "An overview of academic publishing and collaboration between China and Germany," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1781-1793, February.
    12. Brito, Ricardo & Rodríguez-Navarro, Alonso, 2018. "Research assessment by percentile-based double rank analysis," Journal of Informetrics, Elsevier, vol. 12(1), pages 315-329.
    13. de Nooy, Wouter & Leydesdorff, Loet, 2015. "The dynamics of triads in aggregated journal–journal citation relations: Specialty developments at the above-journal level," Journal of Informetrics, Elsevier, vol. 9(3), pages 542-554.
    14. Chen, Shiji & Arsenault, Clément & Larivière, Vincent, 2015. "Are top-cited papers more interdisciplinary?," Journal of Informetrics, Elsevier, vol. 9(4), pages 1034-1046.
    15. Petersen, Alexander M. & Pan, Raj K. & Pammolli, Fabio & Fortunato, Santo, 2019. "Methods to account for citation inflation in research evaluation," Research Policy, Elsevier, vol. 48(7), pages 1855-1865.
    16. Cinzia Daraio & Simone Di Leo & Loet Leydesdorff, 2022. "Using the Leiden Rankings as a Heuristics: Evidence from Italian universities in the European landscape," LEM Papers Series 2022/08, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    17. Bornmann, Lutz & Marx, Werner, 2018. "Critical rationalism and the search for standard (field-normalized) indicators in bibliometrics," Journal of Informetrics, Elsevier, vol. 12(3), pages 598-604.
    18. Lutz Bornmann & Alexander Tekles & Loet Leydesdorff, 2019. "How well does I3 perform for impact measurement compared to other bibliometric indicators? The convergent validity of several (field-normalized) indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 1187-1205, May.
    19. Zhang, Lin & Sivertsen, Gunnar & Du, Huiying & HUANG, Ying & Glänzel, Wolfgang, 2021. "Gender differences in the aims and impacts of research," SocArXiv 9n347, Center for Open Science.
    20. Alonso Rodríguez-Navarro & Ricardo Brito, 2019. "Probability and expected frequency of breakthroughs: basis and use of a robust method of research assessment," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(1), pages 213-235, April.
    21. Mingers, John & Leydesdorff, Loet, 2015. "A review of theory and practice in scientometrics," European Journal of Operational Research, Elsevier, vol. 246(1), pages 1-19.
    22. Zhesi Shen & Liying Yang & Zengru Di & Jinshan Wu, 2019. "Large enough sample size to rank two groups of data reliably according to their means," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(2), pages 653-671, February.
    23. Xu, Shuqi & Mariani, Manuel Sebastian & Lü, Linyuan & Medo, Matúš, 2020. "Unbiased evaluation of ranking metrics reveals consistent performance in science and technology citation data," Journal of Informetrics, Elsevier, vol. 14(1).
    24. Juan Gorraiz & Ursula Ulrych & Wolfgang Glänzel & Wenceslao Arroyo-Machado & Daniel Torres-Salinas, 2022. "Measuring the excellence contribution at the journal level: an alternative to Garfield’s impact factor," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7229-7251, December.
    25. Chen, Shiji & Qiu, Junping & Arsenault, Clément & Larivière, Vincent, 2021. "Exploring the interdisciplinarity patterns of highly cited papers," Journal of Informetrics, Elsevier, vol. 15(1).
    26. Bornmann, Lutz & Stefaner, Moritz & de Moya Anegón, Felix & Mutz, Rüdiger, 2014. "What is the effect of country-specific characteristics on the research performance of scientific institutions? Using multi-level statistical models to rank and map universities and research-focused in," Journal of Informetrics, Elsevier, vol. 8(3), pages 581-593.
    27. Bornmann, Lutz & Haunschild, Robin, 2016. "Citation score normalized by cited references (CSNCR): The introduction of a new citation impact indicator," Journal of Informetrics, Elsevier, vol. 10(3), pages 875-887.
    28. Gerson Pech & Catarina Delgado, 2020. "Assessing the publication impact using citation data from both Scopus and WoS databases: an approach validated in 15 research fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 909-924, November.
    29. Bornmann, Lutz & Marx, Werner, 2015. "Methods for the generation of normalized citation impact scores in bibliometrics: Which method best reflects the judgements of experts?," Journal of Informetrics, Elsevier, vol. 9(2), pages 408-418.
    30. Péter Vinkler, 2017. "The size and impact of the elite set of publications in scientometric assessments," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(1), pages 163-177, January.
    31. Bornmann, Lutz, 2013. "The problem of citation impact assessments for recent publication years in institutional evaluations," Journal of Informetrics, Elsevier, vol. 7(3), pages 722-729.
    32. Bornmann, Lutz & Leydesdorff, Loet & Wang, Jian, 2013. "Which percentile-based approach should be preferred for calculating normalized citation impact values? An empirical comparison of five approaches including a newly developed citation-rank approach (P1," Journal of Informetrics, Elsevier, vol. 7(4), pages 933-944.
    33. Cimini, Giulio & Zaccaria, Andrea & Gabrielli, Andrea, 2016. "Investigating the interplay between fundamentals of national research systems: Performance, investments and international collaborations," Journal of Informetrics, Elsevier, vol. 10(1), pages 200-211.
    34. Lucília Cardoso & Rui Silva & Giovana Goretti Feijó de Almeida & Luís Lima Santos, 2020. "A Bibliometric Model to Analyze Country Research Performance: SciVal Topic Prominence Approach in Tourism, Leisure and Hospitality," Sustainability, MDPI, vol. 12(23), pages 1-26, November.
    35. Thelwall, Mike, 2017. "Three practical field normalised alternative indicator formulae for research evaluation," Journal of Informetrics, Elsevier, vol. 11(1), pages 128-151.
    36. Chi, Yuxue & Tang, Xianyi & Liu, Yijun, 2022. "Exploring the “awakening effect” in knowledge diffusion: a case study of publications in the library and information science domain," Journal of Informetrics, Elsevier, vol. 16(4).
    37. Lutz Bornmann, 2015. "Alternative metrics in scientometrics: a meta-analysis of research into three altmetrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(3), pages 1123-1144, June.
    38. Cinzia Daraio & Simone Di Leo & Loet Leydesdorff, 2023. "A heuristic approach based on Leiden rankings to identify outliers: evidence from Italian universities in the European landscape," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(1), pages 483-510, January.
    39. Rodríguez-Navarro, Alonso & Brito, Ricardo, 2018. "Double rank analysis for research assessment," Journal of Informetrics, Elsevier, vol. 12(1), pages 31-41.
    40. Bornmann, Lutz & Williams, Richard, 2013. "How to calculate the practical significance of citation impact differences? An empirical example from evaluative institutional bibliometrics using adjusted predictions and marginal effects," Journal of Informetrics, Elsevier, vol. 7(2), pages 562-574.
    41. Lin Zhang & Gunnar Sivertsen & Huiying Du & Ying Huang & Wolfgang Glänzel, 2021. "Gender differences in the aims and impacts of research," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(11), pages 8861-8886, November.
    42. Lutz Bornmann, 2015. "Interrater reliability and convergent validity of F1000Prime peer review," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(12), pages 2415-2426, December.
    43. Alonso Rodríguez-Navarro & Ricardo Brito, 2022. "The link between countries’ economic and scientific wealth has a complex dependence on technological activity and research policy," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(5), pages 2871-2896, May.
    44. Mingers, John & Yang, Liying, 2017. "Evaluating journal quality: A review of journal citation indicators and ranking in business and management," European Journal of Operational Research, Elsevier, vol. 257(1), pages 323-337.
    45. Ashraf Uddin & Jaideep Bhoosreddy & Marisha Tiwari & Vivek Kumar Singh, 2016. "A Sciento-text framework to characterize research strength of institutions at fine-grained thematic area level," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(3), pages 1135-1150, March.
    46. Lutz Bornmann & Werner Marx & Andreas Barth, 2013. "The Normalization of Citation Counts Based on Classification Systems," Publications, MDPI, vol. 1(2), pages 1-9, August.
    47. Kyoungmi Lee & Sunglok Choi & Jae-Suk Yang, 2021. "Can expensive research equipment boost research and development performances?," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(9), pages 7715-7742, September.
    48. Lutz Bornmann & Robin Haunschild, 2018. "Plots for visualizing paper impact and journal impact of single researchers in a single graph," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(1), pages 385-394, April.
    49. Liping Yu & Houqiang Yu, 2016. "Does the average JIF percentile make a difference?," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 1979-1987, December.
    50. Dunaiski, Marcel & Geldenhuys, Jaco & Visser, Willem, 2019. "Globalised vs averaged: Bias and ranking performance on the author level," Journal of Informetrics, Elsevier, vol. 13(1), pages 299-313.
    51. Duanhong Zhang & Wenjia Ding & Yang Wang & Siwen Liu, 2022. "Exploring the Role of International Research Collaboration in Building China’s World-Class Universities," Sustainability, MDPI, vol. 14(6), pages 1-17, March.
    52. Loet Leydesdorff & Paul Wouters & Lutz Bornmann, 2016. "Professional and citizen bibliometrics: complementarities and ambivalences in the development and use of indicators—a state-of-the-art report," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 2129-2150, December.
    53. Gabriel-Alexandru Vîiu & Mihai Păunescu, 2021. "The citation impact of articles from which authors gained monetary rewards based on journal metrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(6), pages 4941-4974, June.
    54. Péter Vinkler, 2023. "Impact of the number and rank of coauthors on h-index and π-index. The part-impact method," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(4), pages 2349-2369, April.
    55. Haunschild, Robin & Bornmann, Lutz, 2016. "Normalization of Mendeley reader counts for impact assessment," Journal of Informetrics, Elsevier, vol. 10(1), pages 62-73.
    56. Thelwall, Mike, 2016. "The precision of the arithmetic mean, geometric mean and percentiles for citation data: An experimental simulation modelling approach," Journal of Informetrics, Elsevier, vol. 10(1), pages 110-123.
    57. Franceschini, Fiorenzo & Maisano, Domenico, 2017. "Critical remarks on the Italian research assessment exercise VQR 2011–2014," Journal of Informetrics, Elsevier, vol. 11(2), pages 337-357.
    58. Sven E. Hug & Michael Ochsner & Martin P. Brändle, 2017. "Citation analysis with microsoft academic," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(1), pages 371-378, April.
    59. Bornmann, Lutz, 2014. "Do altmetrics point to the broader impact of research? An overview of benefits and disadvantages of altmetrics," Journal of Informetrics, Elsevier, vol. 8(4), pages 895-903.
    60. Lutz Bornmann & Robin Haunschild, 2016. "How to normalize Twitter counts? A first attempt based on journals in the Twitter Index," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(3), pages 1405-1422, June.
    61. Janne-Tuomas Seppänen & Hanna Värri & Irene Ylönen, 2022. "Co-citation Percentile Rank and JYUcite: a new network-standardized output-level citation influence metric and its implementation using Dimensions API," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(6), pages 3523-3541, June.
    62. Lutz Bornmann & Richard Williams, 2020. "An evaluation of percentile measures of citation impact, and a proposal for making them better," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1457-1478, August.
    63. Leydesdorff, Loet & Wagner, Caroline S. & Bornmann, Lutz, 2014. "The European Union, China, and the United States in the top-1% and top-10% layers of most-frequently cited publications: Competition and collaborations," Journal of Informetrics, Elsevier, vol. 8(3), pages 606-617.
    64. Hans-Dieter Daniel, 2019. "Lutz Bornmann: Recipient of the 2019 Derek John de Solla Price Medal," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(3), pages 1235-1238, December.
    65. Klemiński, Rajmund & Kazienko, Przemyslaw & Kajdanowicz, Tomasz, 2021. "Where should I publish? Heterogeneous, networks-based prediction of paper’s citation success," Journal of Informetrics, Elsevier, vol. 15(3).
    66. Koh Yamamoto & Takuo Yasunaga, 2022. "A percentile rank score of group productivity: an evaluation of publication productivity for researchers from various fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(4), pages 1737-1754, April.
    67. Mike Thelwall, 2019. "Are classic references cited first? An analysis of citation order within article sections," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(2), pages 723-731, August.
    68. Schreiber, Michael, 2014. "Examples for counterintuitive behavior of the new citation-rank indicator P100 for bibliometric evaluations," Journal of Informetrics, Elsevier, vol. 8(3), pages 738-748.
    69. Denis Bouyssou & Thierry Marchant, 2016. "Ranking authors using fractional counting of citations: An axiomatic approach," Post-Print hal-01397699, HAL.

  92. Loet Leydesdorff & Ping Zhou & Lutz Bornmann, 2013. "How can journal impact factors be normalized across fields of science? An assessment in terms of percentile ranks and fractional counts," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 64(1), pages 96-107, January.

    Cited by:

    1. Bornmann, Lutz & Haunschild, Robin, 2016. "Normalization of Mendeley reader impact on the reader- and paper-side: A comparison of the mean discipline normalized reader score (MDNRS) with the mean normalized reader score (MNRS) and bare reader ," Journal of Informetrics, Elsevier, vol. 10(3), pages 776-788.
    2. Haley, M. Ryan & McGee, M. Kevin, 2020. "Jointly valuing journal visibility and author citation count: An axiomatic approach," Journal of Informetrics, Elsevier, vol. 14(1).
    3. Xiaojing Cai & Xiaozan Lyu & Ping Zhou, 2023. "The relationship between interdisciplinarity and citation impact—a novel perspective on citation accumulation," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-12, December.
    4. Bornmann, Lutz & Haunschild, Robin, 2016. "Citation score normalized by cited references (CSNCR): The introduction of a new citation impact indicator," Journal of Informetrics, Elsevier, vol. 10(3), pages 875-887.
    5. João Mateus Freitas Veneroso & Marlon Dias & Alberto Ueda & Sabir Ribas & Berthier Ribeiro-Neto & Nivio Ziviani & Edmundo Souza e Silva, 2019. "P-score: a reputation bibliographic index that complements citation counts," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(3), pages 1269-1291, December.
    6. Waltman, Ludo, 2016. "A review of the literature on citation impact indicators," Journal of Informetrics, Elsevier, vol. 10(2), pages 365-391.
    7. Waltman, Ludo & van Eck, Nees Jan, 2013. "A systematic empirical comparison of different approaches for normalizing citation impact indicators," Journal of Informetrics, Elsevier, vol. 7(4), pages 833-849.
    8. Marcel Clermont & Johanna Krolak & Dirk Tunger, 2021. "Does the citation period have any effect on the informative value of selected citation indicators in research evaluations?," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 1019-1047, February.
    9. Tove Faber Frandsen & Jeppe Nicolaisen, 2017. "Rejoinder: Noble prize effects in citation networks," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(12), pages 2844-2845, December.
    10. M. Ryan Haley & M. Kevin McGee, 2023. "A flexible functional method for jointly valuing journal visibility and author citation count," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(6), pages 3337-3346, June.
    11. Denis Bouyssou & Thierry Marchant, 2016. "Ranking authors using fractional counting of citations: An axiomatic approach," Post-Print hal-01397699, HAL.

  93. Park, Han Woo & Leydesdorff, Loet, 2013. "Decomposing social and semantic networks in emerging “big data” research," Journal of Informetrics, Elsevier, vol. 7(3), pages 756-765.

    Cited by:

    1. Zhang, Yi & Huang, Ying & Porter, Alan L. & Zhang, Guangquan & Lu, Jie, 2019. "Discovering and forecasting interactions in big data research: A learning-enhanced bibliometric study," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 795-807.
    2. Hyejin Park & Han Woo Park, 2018. "Two-side face of knowledge building using scientometric analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(6), pages 2815-2836, November.
    3. Xiaozan Lyu & Rodrigo Costas, 2020. "How do academic topics shift across altmetric sources? A case study of the research area of Big Data," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(2), pages 909-943, May.
    4. Jae-Hyuck Lee & Do-Kyun Kim, 2021. "Analysis of the Discriminatory Perceptions of Victims on Damage from Environmental Pollution: A Case Study of the Hebei Spirit Oil Spill in South Korea," Land, MDPI, vol. 10(10), pages 1-12, October.
    5. Marko M. Skoric, 2014. "The implications of big data for developing and transitional economies: Extending the Triple Helix?," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 175-186, April.
    6. Srijana Acharya & Han Woo Park, 2017. "Open data in Nepal: a webometric network analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(3), pages 1027-1043, May.
    7. Arif Mehmood & Byung-Won On & Ingyu Lee & Han Woo Park & Gyu Sang Choi, 2018. "Corroborating social media echelon in cancer research," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(2), pages 801-813, March.
    8. Maruccia, Ylenia & Solazzo, Gianluca & Del Vecchio, Pasquale & Passiante, Giuseppina, 2020. "Evidence from Network Analysis application to Innovation Systems and Quintuple Helix," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    9. Seyed Mohammad Jafar Jalali & Han Woo Park, 2018. "State of the art in business analytics: themes and collaborations," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(2), pages 627-633, March.
    10. Kyujin Jung & Minsun Song & Han Woo Park, 2018. "Filling the gap between bureaucratic and adaptive approaches to crisis management: lessons from the Sewol Ferry sinking in South Korea," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(1), pages 277-294, January.
    11. Yuchul Jung, 2017. "A semantic annotation framework for scientific publications," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(3), pages 1009-1025, May.
    12. Santiago Ruiz-Navas & Kumiko Miyazaki, 2018. "A complement to lexical query’s search-term selection for emerging technologies: the case of “big data”," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(1), pages 141-162, October.
    13. Sunghoon Park & Saeyeon Roh & Inhyeok Yeo, 2024. "Analysis of the Liner Shipping Network Structure of the Asia–Europe Main Trunk Route Using Social Network Analysis," Sustainability, MDPI, vol. 16(17), pages 1-10, August.
    14. Han Woo Park, 2014. "An interview with Loet Leydesdorff: the past, present, and future of the triple helix in the age of big data," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 199-202, April.
    15. Jungwon Yoon & Joshua SungWoo Yang & Han Woo Park, 2017. "Quintuple helix structure of Sino-Korean research collaboration in science," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(1), pages 61-81, October.
    16. Vivek Kumar Singh & Sumit Kumar Banshal & Khushboo Singhal & Ashraf Uddin, 2015. "Scientometric mapping of research on ‘Big Data’," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(2), pages 727-741, November.
    17. Hyo Chan Park & Jonghee M. Youn & Han Woo Park, 2019. "Global mapping of scientific information exchange using altmetric data," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(2), pages 935-955, March.
    18. Xu, Guannan & Wu, Yuchen & Minshall, Tim & Zhou, Yuan, 2018. "Exploring innovation ecosystems across science, technology, and business: A case of 3D printing in China," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 208-221.
    19. Arif Mehmood & Gyu Sang Choi & Otto F. Feigenblatt & Han Woo Park, 2016. "Proving ground for social network analysis in the emerging research area “Internet of Things” (IoT)," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(1), pages 185-201, October.
    20. Roberto Franzosi, 2021. "What’s in a text? Bridging the gap between quality and quantity in the digital era," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(4), pages 1513-1540, August.
    21. Chinnadurai Kathiravan & Murugesan Selvam & Desti Kannaiah & Kasilingam Lingaraja & Vadivel Thanikachalam, 2019. "On the relationship between weather and Agricultural Commodity Index in India: a study with reference to Dhaanya of NCDEX," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(2), pages 667-683, March.
    22. Ying Huang & Jannik Schuehle & Alan L. Porter & Jan Youtie, 2015. "A systematic method to create search strategies for emerging technologies based on the Web of Science: illustrated for ‘Big Data’," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 2005-2022, December.
    23. Weiai Wayne Xu & Ji-young Park & Han Woo Park, 2017. "Longitudinal dynamics of the cultural diffusion of Kpop on YouTube," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(4), pages 1859-1875, July.
    24. Han Woo Park & Jungwon Yoon & Loet Leydesdorff, 2016. "The normalization of co-authorship networks in the bibliometric evaluation: the government stimulation programs of China and Korea," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 1017-1036, November.

  94. Fred Y. Ye & Susan S. Yu & Loet Leydesdorff, 2013. "The Triple Helix of university‐industry‐government relations at the country level and its dynamic evolution under the pressures of globalization," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 64(11), pages 2317-2325, November.

    Cited by:

    1. Eustache Mêgnigbêto, 2018. "Correlation Between Transmission Power and Some Indicators Used to Measure the Knowledge-Based Economy: Case of Six OECD Countries," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 9(4), pages 1168-1183, December.
    2. Hyeonchae Yang & Woo-Sung Jung, 2015. "A strategic management approach for Korean public research institutes based on bibliometric investigation," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(4), pages 1437-1464, July.
    3. Junghyun Yoon & Jaehoon Rhee & Alisher Tohirovich Dedahanov, 2017. "The roles of networks among innovators in regional innovation: comparative analysis between China and South Korea," European Planning Studies, Taylor & Francis Journals, vol. 25(5), pages 790-804, May.
    4. Zhang, Yi & Chen, Kaihua & Fu, Xiaolan, 2019. "Scientific effects of Triple Helix interactions among research institutes, industries and universities," Technovation, Elsevier, vol. 86, pages 33-47.
    5. Yi Zhang & Kaihua Chen & Guilong Zhu & Richard C. M. Yam & Jiancheng Guan, 2016. "Inter-organizational scientific collaborations and policy effects: an ego-network evolutionary perspective of the Chinese Academy of Sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(3), pages 1383-1415, September.
    6. Stek, Pieter E. & van Geenhuizen, Marina S., 2016. "The influence of international research interaction on national innovation performance: A bibliometric approach," Technological Forecasting and Social Change, Elsevier, vol. 110(C), pages 61-70.
    7. Sujin Choi & Joshua Yang & Han Park, 2015. "Quantifying the Triple Helix relationship in scientific research: statistical analyses on the dividing pattern between developed and developing countries," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(4), pages 1381-1396, July.
    8. Mêgnigbêto, Eustache, 2018. "Modelling the Triple Helix of university-industry-government relationships with game theory: Core, Shapley value and nucleolus as indicators of synergy within an innovation system," Journal of Informetrics, Elsevier, vol. 12(4), pages 1118-1132.
    9. Xiaojun Hu & Xian Li & Ronald Rousseau, 2021. "Mathematical reflections on Triple Helix calculations," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(10), pages 8581-8587, October.
    10. Bhawani Bhatnagar & Viktor Dörfler & Jillian MacBryde, 2023. "Navigating the open innovation paradox: an integrative framework for adopting open innovation in pharmaceutical R&D in developing countries," The Journal of Technology Transfer, Springer, vol. 48(6), pages 2204-2248, December.
    11. Jyoti Paswan & Vivek Kumar Singh & Mousumi Karmakar & Prashasti Singh, 2022. "Does university–industry–government collaboration in research gets higher citation and altmetric impact? A case study from India," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(11), pages 6063-6082, November.
    12. Inga Ivanova & Oivind Strand & Loet Leydesdorff, 2019. "The Synergy and Cycle Values in Regional Innovation Systems: The Case of Norway," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 13(1), pages 48-61.
    13. Mêgnigbêto, Eustache, 2014. "Efficiency, unused capacity and transmission power as indicators of the Triple Helix of university–industry–government relationships," Journal of Informetrics, Elsevier, vol. 8(1), pages 284-294.
    14. Olivier Coussi & Kadígia Faccin & Evelyne Lande & Alsones Balestrin, 2015. "Emergence of a territorial triple helix approach during the life cycle of a foreign direct investment project: the HT MICRON case in Brazil [Emergence D'Une Demarche Territorial Triple Helice Duran," Post-Print hal-02114143, HAL.
    15. Chen, Kaihua & Zhang, Yi & Zhu, Guilong & Mu, Rongping, 2020. "Do research institutes benefit from their network positions in research collaboration networks with industries or/and universities?," Technovation, Elsevier, vol. 94.
    16. Xin Wang, 2023. "Research on the Coupling Coordination Degree of Triple Helix of Government Guidance, Industrial Innovation and Scientific Research Systems: Evidence from China," Sustainability, MDPI, vol. 15(6), pages 1-20, March.
    17. Inga Ivanova & Oivind Strand & Loet Leydesdorff, 2014. "Synergy cycles in the Norwegian innovation system: The relation between synergy and cycle values," Papers 1409.2760, arXiv.org.
    18. Marina Van Geenhuizen & Pieter Stek, 2015. "Mapping innovation in the global photovoltaic industry: a bibliometric approach to cluster identification and analysis," ERSA conference papers ersa15p697, European Regional Science Association.
    19. Weimin Kang & Shuliang Zhao & Wei Song & Tao Zhuang, 2019. "Triple helix in the science and technology innovation centers of China from the perspective of mutual information: a comparative study between Beijing and Shanghai," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 921-940, March.
    20. Gutiérrez Ortega, Armando & Mungaray Lagarda, Alejandro & Osorio Novela, Germán, 2022. "Midiendo la incertidumbre en sistemas de innovación de Triple Hélice [Measuring uncertainty in Triple Helix innovation systems]," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 33(1), pages 310-325, June.
    21. Hyejin Park & Han Woo Park, 2018. "Research evaluation of Asian countries using altmetrics: comparing South Korea, Japan, Taiwan, Singapore, and China," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(2), pages 771-788, November.
    22. Chau, Vinh Sum & Gilman, Mark & Serbanica, Cristina, 2017. "Aligning university–industry interactions: The role of boundary spanning in intellectual capital transfer," Technological Forecasting and Social Change, Elsevier, vol. 123(C), pages 199-209.
    23. Porto-Gomez, Igone & Zabala-Iturriagagoitia, Jon Mikel & Leydesdorff, Loet, 2019. "Innovation systems in México: A matter of missing synergies," Technological Forecasting and Social Change, Elsevier, vol. 148(C).

  95. Loet Leydesdorff & Øivind Strand, 2013. "The Swedish system of innovation: Regional synergies in a knowledge‐based economy," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 64(9), pages 1890-1902, September.

    Cited by:

    1. Loet Leydesdorff & Igone Porto-Gomez, 2019. "Measuring the expected synergy in Spanish regional and national systems of innovation," The Journal of Technology Transfer, Springer, vol. 44(1), pages 189-209, February.
    2. Amalia-Elena Mochnacs & Speranta Pirciog & Throstur Olaf Sigurjonsson & Adriana Grigorescu, 2024. "A conceptual review of the higher education system based on open innovation (OI) perspectives," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-11, December.
    3. Seyed Mohammad Jafar Jalali & Han Woo Park, 2018. "State of the art in business analytics: themes and collaborations," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(2), pages 627-633, March.
    4. Inga A. Ivanova & Loet Leydesdorff, 2014. "A simulation model of the Triple Helix of university–industry–government relations and the decomposition of the redundancy," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(3), pages 927-948, June.
    5. Jessica García-Terán & Annika Skoglund, 2019. "A Processual Approach for the Quadruple Helix Model: the Case of a Regional Project in Uppsala," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 10(3), pages 1272-1296, September.
    6. Inga Ivanova & Oivind Strand & Loet Leydesdorff, 2019. "The Synergy and Cycle Values in Regional Innovation Systems: The Case of Norway," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 13(1), pages 48-61.
    7. Han Woo Park, 2014. "An interview with Loet Leydesdorff: the past, present, and future of the triple helix in the age of big data," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 199-202, April.
    8. Lengyel, Balázs & Leydesdorff, Loet, 2015. "The Effects of FDI on Innovation Systems in Hungarian Regions: Where is the Synergy Generated?," MPRA Paper 73945, University Library of Munich, Germany.
    9. Ivanova, Inga A. & Leydesdorff, Loet, 2014. "Rotational symmetry and the transformation of innovation systems in a Triple Helix of university–industry–government relations," Technological Forecasting and Social Change, Elsevier, vol. 86(C), pages 143-156.
    10. Inga Ivanova & Øivind Strand & Loet Leydesdorff, 2019. "What Is the Effect of Synergy Provided by International Collaborations on Regional Economies?," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 10(1), pages 18-34, March.
    11. Inga Ivanova & Oivind Strand & Loet Leydesdorff, 2014. "Synergy cycles in the Norwegian innovation system: The relation between synergy and cycle values," Papers 1409.2760, arXiv.org.
    12. Loet Leydesdorff & Ping Zhou, 2014. "Measuring the knowledge-based economy of China in terms of synergy among technological, organizational, and geographic attributes of firms," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1703-1719, March.
    13. Øivind Strand & Inga Ivanova & Loet Leydesdorff, 2017. "Decomposing the Triple-Helix synergy into the regional innovation systems of Norway: firm data and patent networks," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(3), pages 963-988, May.
    14. Porto-Gomez, Igone & Zabala-Iturriagagoitia, Jon Mikel & Leydesdorff, Loet, 2019. "Innovation systems in México: A matter of missing synergies," Technological Forecasting and Social Change, Elsevier, vol. 148(C).

  96. Yan, Erjia & Ding, Ying & Cronin, Blaise & Leydesdorff, Loet, 2013. "A bird's-eye view of scientific trading: Dependency relations among fields of science," Journal of Informetrics, Elsevier, vol. 7(2), pages 249-264.

    Cited by:

    1. Lyu, Haihua & Bu, Yi & Zhao, Zhenyue & Zhang, Jiarong & Li, Jiang, 2022. "Citation bias in measuring knowledge flow: Evidence from the web of science at the discipline level," Journal of Informetrics, Elsevier, vol. 16(4).
    2. Kai Nishikawa, 2023. "How and why are citations between disciplines made? A citation context analysis focusing on natural sciences and social sciences and humanities," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(5), pages 2975-2997, May.
    3. Ruimin Ma & Erjia Yan, 2016. "Uncovering inter-specialty knowledge communication using author citation networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 839-854, November.
    4. Yongjun Zhu & Erjia Yan, 2015. "Dynamic subfield analysis of disciplines: an examination of the trading impact and knowledge diffusion patterns of computer science," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(1), pages 335-359, July.
    5. Tomaz Bartol & Gordana Budimir & Primoz Juznic & Karmen Stopar, 2016. "Mapping and classification of agriculture in Web of Science: other subject categories and research fields may benefit," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 979-996, November.
    6. John McLevey & Alexander V. Graham & Reid McIlroy-Young & Pierson Browne & Kathryn S. Plaisance, 2018. "Interdisciplinarity and insularity in the diffusion of knowledge: an analysis of disciplinary boundaries between philosophy of science and the sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(1), pages 331-349, October.
    7. Aaron Lercher & Lawrence Smolinsky, 2016. "Persistent value of older scientific journal articles," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(3), pages 1205-1220, September.
    8. Hongyu Zhou & Raf Guns & Tim C. E. Engels, 2022. "Are social sciences becoming more interdisciplinary? Evidence from publications 1960–2014," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(9), pages 1201-1221, September.
    9. Erjia Yan, 2014. "Topic-based Pagerank: toward a topic-level scientific evaluation," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(2), pages 407-437, August.
    10. Saeed-Ul Hassan & Iqra Safder & Anam Akram & Faisal Kamiran, 2018. "A novel machine-learning approach to measuring scientific knowledge flows using citation context analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(2), pages 973-996, August.
    11. Peng, Tai-Quan, 2015. "Assortative mixing, preferential attachment, and triadic closure: A longitudinal study of tie-generative mechanisms in journal citation networks," Journal of Informetrics, Elsevier, vol. 9(2), pages 250-262.
    12. Wu, Chaojiang & Yan, Erjia & Hill, Chelsey, 2017. "Disciplinary knowledge diffusion in business research," Journal of Informetrics, Elsevier, vol. 11(2), pages 655-668.
    13. Abramo, Giovanni & D’Angelo, Ciriaco Andrea & Carloni, Massimiliano, 2019. "The balance of knowledge flows," Journal of Informetrics, Elsevier, vol. 13(1), pages 1-9.
    14. Dejian Yu & Libo Sheng & Shunshun Shi, 2023. "A retrospective analysis of Journal of Forecasting: From 1982 to 2019," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(4), pages 1008-1035, July.
    15. Loet Leydesdorff & Caroline S. Wagner & Lutz Bornmann, 2018. "Betweenness and diversity in journal citation networks as measures of interdisciplinarity—A tribute to Eugene Garfield," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(2), pages 567-592, February.
    16. Brenda Cheang & Chongshou Li & Andrew Lim & Zhenzhen Zhang, 2015. "Identifying patterns and structural influences in the scientific communication of business knowledge," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(1), pages 159-189, April.
    17. Manajit Chakraborty & Maksym Byshkin & Fabio Crestani, 2020. "Patent citation network analysis: A perspective from descriptive statistics and ERGMs," PLOS ONE, Public Library of Science, vol. 15(12), pages 1-28, December.
    18. Weihua An & Ying Ding, 2018. "The Landscape of Causal Inference: Perspective From Citation Network Analysis," The American Statistician, Taylor & Francis Journals, vol. 72(3), pages 265-277, July.

  97. Bornmann, Lutz & Leydesdorff, Loet, 2013. "The validation of (advanced) bibliometric indicators through peer assessments: A comparative study using data from InCites and F1000," Journal of Informetrics, Elsevier, vol. 7(2), pages 286-291.

    Cited by:

    1. Bornmann, Lutz & Haunschild, Robin, 2016. "Normalization of Mendeley reader impact on the reader- and paper-side: A comparison of the mean discipline normalized reader score (MDNRS) with the mean normalized reader score (MNRS) and bare reader ," Journal of Informetrics, Elsevier, vol. 10(3), pages 776-788.
    2. Bornmann, Lutz & Leydesdorff, Loet & Wang, Jian, 2014. "How to improve the prediction based on citation impact percentiles for years shortly after the publication date?," Journal of Informetrics, Elsevier, vol. 8(1), pages 175-180.
    3. Negin Salimi, 2017. "Quality assessment of scientific outputs using the BWM," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(1), pages 195-213, July.
    4. Fei Shu & Wen Lou & Stefanie Haustein, 2018. "Can Twitter increase the visibility of Chinese publications?," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 505-519, July.
    5. Hou, Jianhua & Yang, Xiucai, 2020. "Social media-based sleeping beauties: Defining, identifying and features," Journal of Informetrics, Elsevier, vol. 14(2).
    6. Jianhua Hou & Xiucai Yang & Yang Zhang, 2023. "The effect of social media knowledge cascade: an analysis of scientific papers diffusion," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(9), pages 5169-5195, September.
    7. Jacques Wainer & Michael Eckmann & Anderson Rocha, 2015. "Peer-Selected “Best Papers”—Are They Really That “Good”?," PLOS ONE, Public Library of Science, vol. 10(3), pages 1-12, March.
    8. Cicero, Tindaro & Malgarini, Marco & Nappi, Carmela Anna & Peracchi, Franco, 2013. "Metodi bibliometrici e revisione dei pari per la valutazione della ricerca: un confronto metodologico [Bibliometric and peer review methods for research evaluation: a methodological appraisement]," MPRA Paper 50470, University Library of Munich, Germany.
    9. Fei Shu, 2017. "Comment to: Does China need to rethink its metrics- and citation-based research rewards policies?," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(2), pages 1229-1231, November.
    10. Lutz Bornmann & Alexander Tekles & Loet Leydesdorff, 2019. "How well does I3 perform for impact measurement compared to other bibliometric indicators? The convergent validity of several (field-normalized) indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 1187-1205, May.
    11. Yuyan Jiang & Xueli Liu, 2023. "A construction and empirical research of the journal disruption index based on open citation data," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(7), pages 3935-3958, July.
    12. Daniela Filippo & Rafael Aleixandre-Benavent & Elías Sanz-Casado, 2020. "Toward a classification of Spanish scholarly journals in social sciences and humanities considering their impact and visibility," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1709-1732, November.
    13. Bornmann, Lutz & Marx, Werner, 2015. "Methods for the generation of normalized citation impact scores in bibliometrics: Which method best reflects the judgements of experts?," Journal of Informetrics, Elsevier, vol. 9(2), pages 408-418.
    14. Bornmann, Lutz & Tekles, Alexander & Zhang, Helena H. & Ye, Fred Y., 2019. "Do we measure novelty when we analyze unusual combinations of cited references? A validation study of bibliometric novelty indicators based on F1000Prime data," Journal of Informetrics, Elsevier, vol. 13(4).
    15. Giovanni Abramo & Ciriaco Andrea D’Angelo & Emanuela Reale, 2019. "Peer review versus bibliometrics: Which method better predicts the scholarly impact of publications?," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(1), pages 537-554, October.
    16. Thelwall, Mike & Fairclough, Ruth, 2015. "The influence of time and discipline on the magnitude of correlations between citation counts and quality scores," Journal of Informetrics, Elsevier, vol. 9(3), pages 529-541.
    17. Chi, Yuxue & Tang, Xianyi & Liu, Yijun, 2022. "Exploring the “awakening effect” in knowledge diffusion: a case study of publications in the library and information science domain," Journal of Informetrics, Elsevier, vol. 16(4).
    18. Giovanni Abramo & Ciriaco Andrea D’Angelo & Leonardo Grilli, 2024. "The role of non-scientific factors vis-à-vis the quality of publications in determining their scholarly impact," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(8), pages 5003-5019, August.
    19. Jianhua Hou & Xiucai Yang & Chaomei Chen, 2020. "Measuring researchers’ potential scholarly impact with structural variations: Four types of researchers in information science (1979–2018)," PLOS ONE, Public Library of Science, vol. 15(6), pages 1-26, June.
    20. Lutz Bornmann, 2015. "Interrater reliability and convergent validity of F1000Prime peer review," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(12), pages 2415-2426, December.
    21. Bouyssou, Denis & Marchant, Thierry, 2014. "An axiomatic approach to bibliometric rankings and indices," Journal of Informetrics, Elsevier, vol. 8(3), pages 449-477.
    22. B Ian Hutchins & Xin Yuan & James M Anderson & George M Santangelo, 2016. "Relative Citation Ratio (RCR): A New Metric That Uses Citation Rates to Measure Influence at the Article Level," PLOS Biology, Public Library of Science, vol. 14(9), pages 1-25, September.
    23. Muammer Maral, 2024. "Research performance of higher education institutions in Türkiye: 1980–2022," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(8), pages 4771-4793, August.
    24. Mojisola Erdt & Aarthy Nagarajan & Sei-Ching Joanna Sin & Yin-Leng Theng, 2016. "Altmetrics: an analysis of the state-of-the-art in measuring research impact on social media," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 1117-1166, November.
    25. Janne-Tuomas Seppänen & Hanna Värri & Irene Ylönen, 2022. "Co-citation Percentile Rank and JYUcite: a new network-standardized output-level citation influence metric and its implementation using Dimensions API," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(6), pages 3523-3541, June.
    26. Torger Möller & Marion Schmidt & Stefan Hornbostel, 2016. "Assessing the effects of the German Excellence Initiative with bibliometric methods," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 2217-2239, December.
    27. Yusuf Ikbal Oldac, 2022. "Global science and the muslim world: overview of muslim-majority country contributions to global science," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(11), pages 6231-6255, November.
    28. Kuang-hua Chen & Muh-chyun Tang & Chun-mei Wang & Jieh Hsiang, 2015. "Exploring alternative metrics of scholarly performance in the social sciences and humanities in Taiwan," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 97-112, January.
    29. Loet Leydesdorff & Lutz Bornmann & Jonathan Adams, 2019. "The integrated impact indicator revisited (I3*): a non-parametric alternative to the journal impact factor," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(3), pages 1669-1694, June.
    30. Peiling Wang & Joshua Williams & Nan Zhang & Qiang Wu, 2020. "F1000Prime recommended articles and their citations: an exploratory study of four journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(2), pages 933-955, February.
    31. Saeideh Ebrahimy & Jafar Mehrad & Fatemeh Setareh & Massoud Hosseinchari, 2016. "Path analysis of the relationship between visibility and citation: the mediating roles of save, discussion, and recommendation metrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 1497-1510, December.
    32. Zohreh Zahedi & Rodrigo Costas & Paul Wouters, 2014. "How well developed are altmetrics? A cross-disciplinary analysis of the presence of ‘alternative metrics’ in scientific publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1491-1513, November.

  98. Loet Leydesdorff & Martin Meyer, 2013. "A reply to Etzkowitz’ comments to Leydesdorff and Martin (2010): technology transfer and the end of the Bayh–Dole effect," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(3), pages 927-934, December.

    Cited by:

    1. Inga Erina & Vladimir Shatrevich & Elina Gaile-Sarkane, 2017. "Impact of stakeholder groups on development of a regional entrepreneurial ecosystem," European Planning Studies, Taylor & Francis Journals, vol. 25(5), pages 755-771, May.

  99. Loet Leydesdorff & Ismael Rafols & Chaomei Chen, 2013. "Interactive overlays of journals and the measurement of interdisciplinarity on the basis of aggregated journal–journal citations," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 64(12), pages 2573-2586, December.

    Cited by:

    1. Loet Leydesdorff & Gaston Heimeriks & Daniele Rotolo, 2015. "Journal Portfolio Analysis for Countries, Cities, and Organizations: Maps and Comparisons?," SPRU Working Paper Series 2015-11, SPRU - Science Policy Research Unit, University of Sussex Business School.
    2. Jiang Wu & Miao Jin & Xiu-Hao Ding, 2015. "Diversity of individual research disciplines in scientific funding," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(2), pages 669-686, May.
    3. Shunshun Shi & Wenyu Zhang & Shuai Zhang & Jie Chen, 2018. "Does prestige dimension influence the interdisciplinary performance of scientific entities in knowledge flow? Evidence from the e-government field," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(2), pages 1237-1264, November.
    4. Ping Zhou & Youneng Pan, 2015. "A comparative analysis of publication portfolios of selected economies," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(2), pages 825-842, November.
    5. Leydesdorff, Loet & Bornmann, Lutz & Marx, Werner & Milojević, Staša, 2014. "Referenced Publication Years Spectroscopy applied to iMetrics: Scientometrics, Journal of Informetrics, and a relevant subset of JASIST," Journal of Informetrics, Elsevier, vol. 8(1), pages 162-174.
    6. María del Carmen Calatrava Moreno & Thomas Auzinger & Hannes Werthner, 2016. "On the uncertainty of interdisciplinarity measurements due to incomplete bibliographic data," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(1), pages 213-232, April.
    7. Sándor Soós & Zsófia Vida & András Schubert, 2018. "Long-term trends in the multidisciplinarity of some typical natural and social sciences, and its implications on the SSH versus STM distinction," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(3), pages 795-822, March.
    8. Ahmad Fareez Ahmad Roslee & Siti Aqlima Ahmad & Claudio Gomez-Fuentes & Noor Azmi Shaharuddin & Khalilah Abdul Khalil & Azham Zulkharnain, 2021. "Scientometric Analysis of Diesel Pollutions in Antarctic Territories: A Review of Causes and Potential Bioremediation Approaches," Sustainability, MDPI, vol. 13(13), pages 1-24, June.
    9. Floris Goerlandt & Jie Li & Genserik Reniers, 2021. "The Landscape of Risk Perception Research: A Scientometric Analysis," Sustainability, MDPI, vol. 13(23), pages 1-26, November.
    10. Silva, Filipi N. & Amancio, Diego R. & Bardosova, Maria & Costa, Luciano da F. & Oliveira, Osvaldo N., 2016. "Using network science and text analytics to produce surveys in a scientific topic," Journal of Informetrics, Elsevier, vol. 10(2), pages 487-502.
    11. Mingers, John & Leydesdorff, Loet, 2015. "A review of theory and practice in scientometrics," European Journal of Operational Research, Elsevier, vol. 246(1), pages 1-19.
    12. Lorenzo Cassi & Wilfriedo Mescheba & Elisabeth de Turckheim, 2014. "How to evaluate the degree of interdisciplinarity of an institution?," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-00987714, HAL.
    13. Rotolo, Daniele & Hicks, Diana & Martin, Ben R., 2015. "What is an emerging technology?," Research Policy, Elsevier, vol. 44(10), pages 1827-1843.
    14. Yoshi-aki Shimada & Jun Suzuki, 2017. "Promoting scientodiversity inspired by biodiversity," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(3), pages 1463-1479, December.
    15. A. I. M. Jakaria Rahman & Raf Guns & Loet Leydesdorff & Tim C. E. Engels, 2016. "Measuring the match between evaluators and evaluees: cognitive distances between panel members and research groups at the journal level," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 1639-1663, December.
    16. Daniele Rotolo & Ismael Rafols & Michael Hopkins & Loet Leydesdorff, 2014. "Scientometric Mapping as a Strategic Intelligence Tool for the Governance of Emerging Technologies," SPRU Working Paper Series 2014-10, SPRU - Science Policy Research Unit, University of Sussex Business School.
    17. Shiji Chen & Yanhui Song & Fei Shu & Vincent Larivière, 2022. "Interdisciplinarity and impact: the effects of the citation time window," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(5), pages 2621-2642, May.
    18. Peng, Tai-Quan, 2015. "Assortative mixing, preferential attachment, and triadic closure: A longitudinal study of tie-generative mechanisms in journal citation networks," Journal of Informetrics, Elsevier, vol. 9(2), pages 250-262.
    19. Keungoui Kim & Dieter F. Kogler & Sira Maliphol, 2024. "Identifying interdisciplinary emergence in the science of science: combination of network analysis and BERTopic," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-15, December.
    20. Jiming Hu & Yin Zhang, 2017. "Discovering the interdisciplinary nature of Big Data research through social network analysis and visualization," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(1), pages 91-109, July.
    21. Loet Leydesdorff, 2015. "Can technology life-cycles be indicated by diversity in patent classifications? The crucial role of variety," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1441-1451, December.
    22. Sarin, Shikhar & Haon, Christophe & Belkhouja, Mustapha & Mas-Tur, Alicia & Roig-Tierno, Norat & Sego, Trina & Porter, Alan & Merigó, José M. & Carley, Stephen, 2020. "Uncovering the knowledge flows and intellectual structures of research in Technological Forecasting and Social Change: A journey through history," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
    23. Sun, Xiaoling & Ding, Kun & Lin, Yuan, 2016. "Mapping the evolution of scientific fields based on cross-field authors," Journal of Informetrics, Elsevier, vol. 10(3), pages 750-761.
    24. Carlos Olmeda-Gómez & Carlos Romá-Mateo & Maria-Antonia Ovalle-Perandones, 2019. "Overview of trends in global epigenetic research (2009–2017)," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(3), pages 1545-1574, June.
    25. Ugo Moschini & Elena Fenialdi & Cinzia Daraio & Giancarlo Ruocco & Elisa Molinari, 2020. "A comparison of three multidisciplinarity indices based on the diversity of Scopus subject areas of authors’ documents, their bibliography and their citing papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1145-1158, November.
    26. Kevin W. Boyack, 2017. "Thesaurus-based methods for mapping contents of publication sets," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 1141-1155, May.
    27. Rahman, A.I.M. Jakaria & Guns, Raf & Rousseau, Ronald & Engels, Tim C.E., 2015. "Is the expertise of evaluation panels congruent with the research interests of the research groups: A quantitative approach based on barycenters," Journal of Informetrics, Elsevier, vol. 9(4), pages 704-721.
    28. Haiyun Xu & Ting Guo & Zenghui Yue & Lijie Ru & Shu Fang, 2016. "Interdisciplinary topics of information science: a study based on the terms interdisciplinarity index series," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(2), pages 583-601, February.

  100. Strand, Øivind & Leydesdorff, Loet, 2013. "Where is synergy indicated in the Norwegian innovation system? Triple-Helix relations among technology, organization, and geography," Technological Forecasting and Social Change, Elsevier, vol. 80(3), pages 471-484.

    Cited by:

    1. Arkadiusz Œwiadek & Piotr Dzikowski & Jadwiga Gor¹czkowska & Marek Tomaszewski, 2022. "The National Innovation System in a catching-up country: empirical evidence based on micro data of a triple helix in Poland," Oeconomia Copernicana, Institute of Economic Research, vol. 13(2), pages 511-540, June.
    2. Herstad, Sverre J., 2015. "Imitate, or innovate and collaborate? On innovation strategy choices in the urban economy," Papers in Innovation Studies 2015/8, Lund University, CIRCLE - Centre for Innovation Research.
    3. Xiaojun Hu & Xian Li & Ronald Rousseau, 2021. "Mathematical reflections on Triple Helix calculations," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(10), pages 8581-8587, October.
    4. Coccia M., 2014. "Temperate climate - Innovative outputs nexus," MERIT Working Papers 2014-088, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    5. Inga A. Ivanova & Loet Leydesdorff, 2014. "A simulation model of the Triple Helix of university–industry–government relations and the decomposition of the redundancy," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(3), pages 927-948, June.
    6. Loet Leydesdorff & Han Woo Park & Balazs Lengyel, 2014. "A routine for measuring synergy in university–industry–government relations: mutual information as a Triple-Helix and Quadruple-Helix indicator," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 27-35, April.
    7. Miguel A. Ortiz Acuña & Adiel T. Almeida Filho & Francisco S. Ramos, 2024. "Modelling the triple helix system innovation of the main economies from Latin America: a coalitional game theory approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(6), pages 3245-3270, June.
    8. Luís Farinha & João Ferreira & Borges Gouveia, 2016. "Networks of Innovation and Competitiveness: A Triple Helix Case Study," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 7(1), pages 259-275, March.
    9. Drivas, Kyriakos & Economidou, Claire & Karamanis, Dimitris & Sanders, Mark, 2018. "Mobility of Highly Skilled Individuals and Local Innovation Activity," MPRA Paper 88883, University Library of Munich, Germany.
    10. Marina Solesvik & Magnus Gulbrandsen, 2014. "Interaction for Innovation: Comparing Norwegian Regions," Journal of Entrepreneurship, Management and Innovation, Fundacja Upowszechniająca Wiedzę i Naukę "Cognitione", vol. 10(3), pages 7-28.
    11. Jiao, Hao & Zhou, Jianghua & Gao, Taishan & Liu, Xielin, 2016. "The more interactions the better? The moderating effect of the interaction between local producers and users of knowledge on the relationship between R&D investment and regional innovation systems," Technological Forecasting and Social Change, Elsevier, vol. 110(C), pages 13-20.
    12. Inga Ivanova & Oivind Strand & Loet Leydesdorff, 2019. "The Synergy and Cycle Values in Regional Innovation Systems: The Case of Norway," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 13(1), pages 48-61.
    13. Sverre J Herstad, 2018. "Innovation strategy choices in the urban economy," Urban Studies, Urban Studies Journal Limited, vol. 55(6), pages 1185-1202, May.
    14. Lengyel, Balázs & Leydesdorff, Loet, 2015. "The Effects of FDI on Innovation Systems in Hungarian Regions: Where is the Synergy Generated?," MPRA Paper 73945, University Library of Munich, Germany.
    15. Ivanova, Inga A. & Leydesdorff, Loet, 2014. "Rotational symmetry and the transformation of innovation systems in a Triple Helix of university–industry–government relations," Technological Forecasting and Social Change, Elsevier, vol. 86(C), pages 143-156.
    16. Inga Ivanova & Øivind Strand & Loet Leydesdorff, 2019. "What Is the Effect of Synergy Provided by International Collaborations on Regional Economies?," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 10(1), pages 18-34, March.
    17. Zhao, S.L. & Cacciolatti, L. & Lee, S.H. & Song, W., 2015. "Regional collaborations and indigenous innovation capabilities in China: A multivariate method for the analysis of regional innovation systems," Technological Forecasting and Social Change, Elsevier, vol. 94(C), pages 202-220.
    18. Inga Ivanova & Oivind Strand & Loet Leydesdorff, 2014. "Synergy cycles in the Norwegian innovation system: The relation between synergy and cycle values," Papers 1409.2760, arXiv.org.
    19. Loet Leydesdorff & Ping Zhou, 2014. "Measuring the knowledge-based economy of China in terms of synergy among technological, organizational, and geographic attributes of firms," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1703-1719, March.
    20. Øivind Strand & Inga Ivanova & Loet Leydesdorff, 2017. "Decomposing the Triple-Helix synergy into the regional innovation systems of Norway: firm data and patent networks," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(3), pages 963-988, May.
    21. Porto-Gomez, Igone & Zabala-Iturriagagoitia, Jon Mikel & Leydesdorff, Loet, 2019. "Innovation systems in México: A matter of missing synergies," Technological Forecasting and Social Change, Elsevier, vol. 148(C).

  101. Loet Leydesdorff & Tobias Opthof, 2013. "Citation analysis with medical subject Headings (MeSH) using the Web of Knowledge: A new routine," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 64(5), pages 1076-1080, May.

    Cited by:

    1. Schreiber, Michael, 2014. "How to improve the outcome of performance evaluations in terms of percentiles for citation frequencies of my papers," Journal of Informetrics, Elsevier, vol. 8(4), pages 873-879.
    2. Haunschild, Robin & Daniels, Angela D. & Bornmann, Lutz, 2022. "Scores of a specific field-normalized indicator calculated with different approaches of field-categorization: Are the scores different or similar?," Journal of Informetrics, Elsevier, vol. 16(1).
    3. Lutz Bornmann & Klaus Wohlrabe, 2019. "Normalisation of citation impact in economics," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(2), pages 841-884, August.
    4. Barbara McGillivray & Paola Marongiu & Nilo Pedrazzini & Marton Ribary & Mandy Wigdorowitz & Eleonora Zordan, 2022. "Deep Impact: A Study on the Impact of Data Papers and Datasets in the Humanities and Social Sciences," Publications, MDPI, vol. 10(4), pages 1-40, October.
    5. Bornmann, Lutz & Haunschild, Robin, 2016. "Citation score normalized by cited references (CSNCR): The introduction of a new citation impact indicator," Journal of Informetrics, Elsevier, vol. 10(3), pages 875-887.
    6. Urdiales, Cristina & Guzmán, Eduardo, 2024. "An automatic and association-based procedure for hierarchical publication subject categorization," Journal of Informetrics, Elsevier, vol. 18(1).
    7. Haunschild, Robin & Schier, Hermann & Marx, Werner & Bornmann, Lutz, 2018. "Algorithmically generated subject categories based on citation relations: An empirical micro study using papers on overall water splitting," Journal of Informetrics, Elsevier, vol. 12(2), pages 436-447.
    8. Loet Leydesdorff & Paul Wouters & Lutz Bornmann, 2016. "Professional and citizen bibliometrics: complementarities and ambivalences in the development and use of indicators—a state-of-the-art report," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 2129-2150, December.
    9. Seolmin Yang & So Young Kim, 2023. "Knowledge-integrated research is more disruptive when supported by homogeneous funding sources: a case of US federally funded research in biomedical and life sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(6), pages 3257-3282, June.
    10. Alexander Michael & Felber Arroyave & Ioannis Pavlidis, 2023. "Methods for measuring social and conceptual dimensions of convergence science," Research Evaluation, Oxford University Press, vol. 32(2), pages 256-272.

  102. Staša Milojević & Loet Leydesdorff, 2013. "Information metrics (iMetrics): a research specialty with a socio-cognitive identity?," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(1), pages 141-157, April.

    Cited by:

    1. Didegah, Fereshteh & Thelwall, Mike, 2013. "Which factors help authors produce the highest impact research? Collaboration, journal and document properties," Journal of Informetrics, Elsevier, vol. 7(4), pages 861-873.
    2. Alberto Martín-Martín & Enrique Orduna-Malea & Emilio Delgado López-Cózar, 2018. "A novel method for depicting academic disciplines through Google Scholar Citations: The case of Bibliometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(3), pages 1251-1273, March.
    3. Leydesdorff, Loet & Bornmann, Lutz & Marx, Werner & Milojević, Staša, 2014. "Referenced Publication Years Spectroscopy applied to iMetrics: Scientometrics, Journal of Informetrics, and a relevant subset of JASIST," Journal of Informetrics, Elsevier, vol. 8(1), pages 162-174.
    4. Daria Maltseva & Vladimir Batagelj, 2020. "iMetrics: the development of the discipline with many names," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 313-359, October.
    5. Sabrina Petersohn & Thomas Heinze, 2018. "Professionalization of bibliometric research assessment. Insights from the history of the Leiden Centre for Science and Technology Studies (CWTS)," Science and Public Policy, Oxford University Press, vol. 45(4), pages 565-578.
    6. Chien-chih Huang & Kuang-hua Chen, 2024. "RefCit2vec: embedding models considering references and citations for measuring document similarity," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(8), pages 4669-4693, August.
    7. Milojević, Staša & Sugimoto, Cassidy R. & Larivière, Vincent & Thelwall, Mike & Ding, Ying, 2014. "The role of handbooks in knowledge creation and diffusion: A case of science and technology studies," Journal of Informetrics, Elsevier, vol. 8(3), pages 693-709.
    8. Daria Maltseva & Vladimir Batagelj, 2021. "Journals publishing social network analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 3593-3620, April.
    9. A. Abrizah & Mohammadamin Erfanmanesh & Vala Ali Rohani & Mike Thelwall & Jonathan M. Levitt & Fereshteh Didegah, 2014. "Sixty-four years of informetrics research: productivity, impact and collaboration," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 569-585, October.
    10. Jianhua Hou & Xiucai Yang & Chaomei Chen, 2018. "Emerging trends and new developments in information science: a document co-citation analysis (2009–2016)," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(2), pages 869-892, May.
    11. Xin Li & Qiang Yao & Xuli Tang & Qian Li & Mengjia Wu, 2020. "How to investigate the historical roots and evolution of research fields in China? A case study on iMetrics using RootCite," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1253-1274, November.
    12. Yuehua Zhao & Rongying Zhao, 2016. "An evolutionary analysis of collaboration networks in scientometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(2), pages 759-772, May.
    13. Rafaella Guimarães Porto & Rita Fernandes Almeida & Oswaldo Cruz-Neto & Marcelo Tabarelli & Blandina Felipe Viana & Carlos A. Peres & Ariadna Valentina Lopes, 2020. "Pollination ecosystem services: A comprehensive review of economic values, research funding and policy actions," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 12(6), pages 1425-1442, December.

  103. Lutz Bornmann & Loet Leydesdorff, 2013. "Statistical tests and research assessments: A comment on Schneider (2012)," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 64(6), pages 1306-1308, June.

    Cited by:

    1. Jesper W. Schneider, 2015. "Null hypothesis significance tests. A mix-up of two different theories: the basis for widespread confusion and numerous misinterpretations," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 411-432, January.
    2. Bornmann, Lutz, 2013. "The problem of citation impact assessments for recent publication years in institutional evaluations," Journal of Informetrics, Elsevier, vol. 7(3), pages 722-729.

  104. Loet Leydesdorff, 2013. "An evaluation of impacts in “Nanoscience & nanotechnology”: steps towards standards for citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(1), pages 35-55, January.

    Cited by:

    1. Patrick Herron & Aashish Mehta & Cong Cao & Timothy Lenoir, 2016. "Research diversification and impact: the case of national nanoscience development," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 629-659, November.
    2. T. Gorjiara & C. Baldock, 2014. "Nanoscience and nanotechnology research publications: a comparison between Australia and the rest of the world," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(1), pages 121-148, July.
    3. Mingyang Wang & Shijia Jiao & Kah-Hin Chai & Guangsheng Chen, 2019. "Building journal’s long-term impact: using indicators detected from the sustained active articles," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(1), pages 261-283, October.
    4. Rogheyeh Eskrootchi & Nadia Sanee, 2018. "Comparison of medical research performance by thermodynamic and citation analysis methods," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(3), pages 2159-2168, December.

  105. Loet Leydesdorff, 2013. "Statistics for the dynamic analysis of scientometric data: the evolution of the sciences in terms of trajectories and regimes," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(3), pages 731-741, September.

    Cited by:

    1. Maria Karaulova & Abdullah Gök & Oliver Shackleton & Philip Shapira, 2016. "Science system path-dependencies and their influences: nanotechnology research in Russia," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(2), pages 645-670, May.
    2. Xu, Haiyun & Winnink, Jos & Yue, Zenghui & Liu, Ziqiang & Yuan, Guoting, 2020. "Topic-linked innovation paths in science and technology," Journal of Informetrics, Elsevier, vol. 14(2).
    3. Sonia E. Monroy & Hernando Diaz, 2018. "Time series-based bibliometric analysis of the dynamics of scientific production," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(3), pages 1139-1159, June.

  106. Bornmann, Lutz & Leydesdorff, Loet & Wang, Jian, 2013. "Which percentile-based approach should be preferred for calculating normalized citation impact values? An empirical comparison of five approaches including a newly developed citation-rank approach (P1," Journal of Informetrics, Elsevier, vol. 7(4), pages 933-944.

    Cited by:

    1. Bornmann, Lutz, 2014. "Validity of altmetrics data for measuring societal impact: A study using data from Altmetric and F1000Prime," Journal of Informetrics, Elsevier, vol. 8(4), pages 935-950.
    2. Bornmann, Lutz & Leydesdorff, Loet & Wang, Jian, 2014. "How to improve the prediction based on citation impact percentiles for years shortly after the publication date?," Journal of Informetrics, Elsevier, vol. 8(1), pages 175-180.
    3. Cristina López-Duarte & Marta M. Vidal-Suárez & Belén González-Díaz, 2019. "Cross-national distance and international business: an analysis of the most influential recent models," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(1), pages 173-208, October.
    4. Schreiber, Michael, 2014. "How to improve the outcome of performance evaluations in terms of percentiles for citation frequencies of my papers," Journal of Informetrics, Elsevier, vol. 8(4), pages 873-879.
    5. Gerson Pech & Catarina Delgado, 2020. "Percentile and stochastic-based approach to the comparison of the number of citations of articles indexed in different bibliographic databases," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(1), pages 223-252, April.
    6. Brito, Ricardo & Rodríguez-Navarro, Alonso, 2018. "Research assessment by percentile-based double rank analysis," Journal of Informetrics, Elsevier, vol. 12(1), pages 315-329.
    7. Chen, Shiji & Arsenault, Clément & Larivière, Vincent, 2015. "Are top-cited papers more interdisciplinary?," Journal of Informetrics, Elsevier, vol. 9(4), pages 1034-1046.
    8. Wang, Xing & Zhang, Zhihui, 2020. "Improving the reliability of short-term citation impact indicators by taking into account the correlation between short- and long-term citation impact," Journal of Informetrics, Elsevier, vol. 14(2).
    9. Mingers, John & Leydesdorff, Loet, 2015. "A review of theory and practice in scientometrics," European Journal of Operational Research, Elsevier, vol. 246(1), pages 1-19.
    10. David I. Stern, 2014. "High-Ranked Social Science Journal Articles Can Be Identified from Early Citation Information," Crawford School Research Papers 1406, Crawford School of Public Policy, The Australian National University.
    11. Lutz Bornmann & Rüdiger Mutz & Robin Haunschild & Felix Moya-Anegon & Mirko Almeida Madeira Clemente & Moritz Stefaner, 2021. "Mapping the impact of papers on various status groups in excellencemapping.net: a new release of the excellence mapping tool based on citation and reader scores," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(11), pages 9305-9331, November.
    12. Bornmann, Lutz & Stefaner, Moritz & de Moya Anegón, Felix & Mutz, Rüdiger, 2014. "What is the effect of country-specific characteristics on the research performance of scientific institutions? Using multi-level statistical models to rank and map universities and research-focused in," Journal of Informetrics, Elsevier, vol. 8(3), pages 581-593.
    13. Gerson Pech & Catarina Delgado, 2020. "Assessing the publication impact using citation data from both Scopus and WoS databases: an approach validated in 15 research fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 909-924, November.
    14. Bornmann, Lutz & Marx, Werner, 2015. "Methods for the generation of normalized citation impact scores in bibliometrics: Which method best reflects the judgements of experts?," Journal of Informetrics, Elsevier, vol. 9(2), pages 408-418.
    15. Stegehuis, Clara & Litvak, Nelly & Waltman, Ludo, 2015. "Predicting the long-term citation impact of recent publications," Journal of Informetrics, Elsevier, vol. 9(3), pages 642-657.
    16. Schreiber, Michael, 2014. "Is the new citation-rank approach P100′ in bibliometrics really new?," Journal of Informetrics, Elsevier, vol. 8(4), pages 997-1004.
    17. Ashraf Uddin & Jaideep Bhoosreddy & Marisha Tiwari & Vivek Kumar Singh, 2016. "A Sciento-text framework to characterize research strength of institutions at fine-grained thematic area level," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(3), pages 1135-1150, March.
    18. Cao, Xuanyu & Chen, Yan & Ray Liu, K.J., 2016. "A data analytic approach to quantifying scientific impact," Journal of Informetrics, Elsevier, vol. 10(2), pages 471-484.
    19. Frank Havemann & Birger Larsen, 2015. "Bibliometric indicators of young authors in astrophysics: Can later stars be predicted?," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1413-1434, February.
    20. Lutz Bornmann & Richard Williams, 2020. "An evaluation of percentile measures of citation impact, and a proposal for making them better," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1457-1478, August.
    21. Pech, Gerson & Delgado, Catarina, 2021. "Screening the most highly cited papers in longitudinal bibliometric studies and systematic literature reviews of a research field or journal: Widespread used metrics vs a percentile citation-based app," Journal of Informetrics, Elsevier, vol. 15(3).
    22. Peiling Wang & Joshua Williams & Nan Zhang & Qiang Wu, 2020. "F1000Prime recommended articles and their citations: an exploratory study of four journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(2), pages 933-955, February.
    23. Bornmann, Lutz & Stefaner, Moritz & de Moya Anegón, Felix & Mutz, Rüdiger, 2016. "Excellence networks in science: A Web-based application based on Bayesian multilevel logistic regression (BMLR) for the identification of institutions collaborating successfully," Journal of Informetrics, Elsevier, vol. 10(1), pages 312-327.
    24. Schreiber, Michael, 2014. "Examples for counterintuitive behavior of the new citation-rank indicator P100 for bibliometric evaluations," Journal of Informetrics, Elsevier, vol. 8(3), pages 738-748.

  107. Bornmann, Lutz & Leydesdorff, Loet, 2012. "Which are the best performing regions in information science in terms of highly cited papers? Some improvements of our previous mapping approaches," Journal of Informetrics, Elsevier, vol. 6(2), pages 336-345.

    Cited by:

    1. Copiello, Sergio, 2019. "Peer and neighborhood effects: Citation analysis using a spatial autoregressive model and pseudo-spatial data," Journal of Informetrics, Elsevier, vol. 13(1), pages 238-254.
    2. Giovanni Abramo & Tindaro Cicero & Ciriaco Andrea D’Angelo, 2013. "National peer-review research assessment exercises for the hard sciences can be a complete waste of money: the Italian case," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(1), pages 311-324, April.
    3. Csomós, György, 2018. "Reprint of “A spatial scientometric analysis of the publication output of cities worldwide”," Journal of Informetrics, Elsevier, vol. 12(2), pages 547-566.
    4. Wang, Mingyang & Yu, Guang & Xu, Jianzhong & He, Huixin & Yu, Daren & An, Shuang, 2012. "Development a case-based classifier for predicting highly cited papers," Journal of Informetrics, Elsevier, vol. 6(4), pages 586-599.
    5. Radu Silaghi-Dumitrescu & Augusta Sabau, 2014. "Scientometric analysis of relative performance in a key university in Romania," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(2), pages 463-474, May.
    6. Akella, Akhil Pandey & Alhoori, Hamed & Kondamudi, Pavan Ravikanth & Freeman, Cole & Zhou, Haiming, 2021. "Early indicators of scientific impact: Predicting citations with altmetrics," Journal of Informetrics, Elsevier, vol. 15(2).
    7. Mingyang Wang & Shi Li & Guangsheng Chen, 2017. "Detecting latent referential articles based on their vitality performance in the latest 2 years," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1557-1571, September.
    8. Alfonso Ibáñez & Pedro Larrañaga & Concha Bielza, 2013. "Cluster methods for assessing research performance: exploring Spanish computer science," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(3), pages 571-600, December.

  108. Loet Leydesdorff & Daniele Rotolo & Ismael Rafols, 2012. "Bibliometric perspectives on medical innovation using the medical subject Headings of PubMed," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(11), pages 2239-2253, November.

    Cited by:

    1. Alexander Petersen & Daniele Rotolo & Loet Leydesdor, 2016. "A Triple Helix Model of Medical Innovation: Supply, Demand, and Technological Capabilities in terms of Medical Subject Headings," SPRU Working Paper Series 2016-01, SPRU - Science Policy Research Unit, University of Sussex Business School.
    2. Daniele Rotolo & Loet Leydesdorff, 2014. "Matching MEDLINE/PubMed Data with Web of Science (WOS): A Routine in R language," SPRU Working Paper Series 2014-14, SPRU - Science Policy Research Unit, University of Sussex Business School.
    3. Nicola Grassano & Daniele Rotolo & Joshua Hutton & Frédérique Lang & Michael M. Hopkins, 2017. "Funding Data from Publication Acknowledgments: Coverage, Uses, and Limitations," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(4), pages 999-1017, April.
    4. Timothy D. Bowman & Andrew Tsou & Chaoqun Ni & Cassidy R. Sugimoto, 2014. "Post-interdisciplinary frames of reference: exploring permeability and perceptions of disciplinarity in the social sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(3), pages 1695-1714, December.
    5. Torres-Salinas, Daniel & Rodríguez-Sánchez, Rosa & Robinson-García, Nicolás & Fdez-Valdivia, J. & García, J.A., 2013. "Mapping citation patterns of book chapters in the Book Citation Index," Journal of Informetrics, Elsevier, vol. 7(2), pages 412-424.
    6. Takano, Yasutomo & Kajikawa, Yuya, 2019. "Extracting commercialization opportunities of the Internet of Things: Measuring text similarity between papers and patents," Technological Forecasting and Social Change, Elsevier, vol. 138(C), pages 45-68.
    7. Loet Leydesdorff & Duncan Kushnir & Ismael Rafols, 2014. "Interactive overlay maps for US patent (USPTO) data based on International Patent Classification (IPC)," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1583-1599, March.
    8. Rotolo, Daniele & Hicks, Diana & Martin, Ben R., 2015. "What is an emerging technology?," Research Policy, Elsevier, vol. 44(10), pages 1827-1843.
    9. Ávila-Robinson, Alfonso & Islam, Nazrul & Sengoku, Shintaro, 2019. "Co-evolutionary and systemic study on the evolution of emerging stem cell-based therapies," Technological Forecasting and Social Change, Elsevier, vol. 138(C), pages 324-339.
    10. Loet Leydesdorff & Jordan A. Comins & Aaron A. Sorensen & Lutz Bornmann & Iina Hellsten, 2016. "Cited references and Medical Subject Headings (MeSH) as two different knowledge representations: clustering and mappings at the paper level," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 2077-2091, December.
    11. Ryosuke L. Ohniwa & Kunio Takeyasu & Aiko Hibino, 2022. "Researcher dynamics in the generation of emerging topics in life sciences and medicine," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(2), pages 871-884, February.
    12. Daniele Rotolo & Ismael Rafols & Michael Hopkins & Loet Leydesdorff, 2014. "Scientometric Mapping as a Strategic Intelligence Tool for the Governance of Emerging Technologies," SPRU Working Paper Series 2014-10, SPRU - Science Policy Research Unit, University of Sussex Business School.
    13. Yaqub, Ohid & Coburn, Josie & Moore, Duncan A.Q., 2023. "Knowledge spillovers from HIV research-funding," SocArXiv gcuhn, Center for Open Science.
    14. Lv, Yanhua & Ding, Ying & Song, Min & Duan, Zhiguang, 2018. "Topology-driven trend analysis for drug discovery," Journal of Informetrics, Elsevier, vol. 12(3), pages 893-905.
    15. Ma, Jing & Abrams, Natalie F. & Porter, Alan L. & Zhu, Donghua & Farrell, Dorothy, 2019. "Identifying translational indicators and technology opportunities for nanomedical research using tech mining: The case of gold nanostructures," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 767-775.
    16. Gaetan de Rassenfosse & Kyle Higham & Orion Penner, 2022. "Scientific rewards for biomedical specialization are large and persistent," Working Papers 19, Chair of Science, Technology, and Innovation Policy.
    17. Ryosuke L. Ohniwa & Aiko Hibino, 2019. "Generating process of emerging topics in the life sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(3), pages 1549-1561, December.
    18. Jochen Gläser & Wolfgang Glänzel & Andrea Scharnhorst, 2017. "Same data—different results? Towards a comparative approach to the identification of thematic structures in science," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 981-998, May.
    19. Seolmin Yang & So Young Kim, 2023. "Knowledge-integrated research is more disruptive when supported by homogeneous funding sources: a case of US federally funded research in biomedical and life sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(6), pages 3257-3282, June.
    20. Kevin W. Boyack, 2017. "Thesaurus-based methods for mapping contents of publication sets," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 1141-1155, May.
    21. Goldman, Alyssa W., 2014. "Conceptualizing the interdisciplinary diffusion and evolution of emerging fields: The case of systems biology," Journal of Informetrics, Elsevier, vol. 8(1), pages 43-58.
    22. Loet Leydesdorff, 2013. "Statistics for the dynamic analysis of scientometric data: the evolution of the sciences in terms of trajectories and regimes," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(3), pages 731-741, September.

  109. Loet Leydesdorff & Lutz Bornmann, 2012. "Mapping (USPTO) patent data using overlays to Google Maps," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(7), pages 1442-1458, July.

    Cited by:

    1. Yanto Chandra, 2018. "Mapping the evolution of entrepreneurship as a field of research (1990–2013): A scientometric analysis," PLOS ONE, Public Library of Science, vol. 13(1), pages 1-24, January.
    2. Balázs Lengyel & Tamás Sebestyén & Loet Leydesdorff, 2015. "Challenges for regional innovation policies in Central and Eastern Europe: Spatial concentration and foreign control of US patenting," Science and Public Policy, Oxford University Press, vol. 42(1), pages 1-14.
    3. Loet Leydesdorff & Daniele Rotolo & Ismael Rafols, 2012. "Bibliometric perspectives on medical innovation using the medical subject Headings of PubMed," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(11), pages 2239-2253, November.
    4. Ignacio Rodríguez-Rodríguez & José-Víctor Rodríguez & Niloofar Shirvanizadeh & Andrés Ortiz & Domingo-Javier Pardo-Quiles, 2021. "Applications of Artificial Intelligence, Machine Learning, Big Data and the Internet of Things to the COVID-19 Pandemic: A Scientometric Review Using Text Mining," IJERPH, MDPI, vol. 18(16), pages 1-29, August.
    5. Loet Leydesdorff & Duncan Kushnir & Ismael Rafols, 2014. "Interactive overlay maps for US patent (USPTO) data based on International Patent Classification (IPC)," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1583-1599, March.
    6. Rotolo, Daniele & Hicks, Diana & Martin, Ben R., 2015. "What is an emerging technology?," Research Policy, Elsevier, vol. 44(10), pages 1827-1843.
    7. Sangsung Park & Sunghae Jun, 2017. "Technology Analysis of Global Smart Light Emitting Diode (LED) Development Using Patent Data," Sustainability, MDPI, vol. 9(8), pages 1-15, August.
    8. Loet Leydesdorff & Floortje Alkemade & Gaston Heimeriks & Rinke Hoekstra, 2015. "Patents as instruments for exploring innovation dynamics: geographic and technological perspectives on “photovoltaic cells”," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 629-651, January.
    9. Daniele Rotolo & Ismael Rafols & Michael Hopkins & Loet Leydesdorff, 2014. "Scientometric Mapping as a Strategic Intelligence Tool for the Governance of Emerging Technologies," SPRU Working Paper Series 2014-10, SPRU - Science Policy Research Unit, University of Sussex Business School.
    10. Xu Bai & Jinxi Wu & Yun Liu & Yihan Xu, 2020. "Research on the impact of global innovation network on 3D printing industry performance," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1015-1051, August.
    11. Zhang, Yi & Shang, Lining & Huang, Lu & Porter, Alan L. & Zhang, Guangquan & Lu, Jie & Zhu, Donghua, 2016. "A hybrid similarity measure method for patent portfolio analysis," Journal of Informetrics, Elsevier, vol. 10(4), pages 1108-1130.
    12. Werner Ebeling & Andrea Scharnhorst, 2014. "Modellierungskonzepte der Synergetik und der Theorie der Selbstorganisation," Papers 1412.2399, arXiv.org.
    13. Øivind Strand & Inga Ivanova & Loet Leydesdorff, 2017. "Decomposing the Triple-Helix synergy into the regional innovation systems of Norway: firm data and patent networks," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(3), pages 963-988, May.
    14. Jongho Lee & Keun Lee, 2021. "Is the fourth industrial revolution a continuation of the third industrial revolution or something new under the sun? Analyzing technological regimes using US patent data [Vertical integration and ," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 30(1), pages 137-159.

  110. Rafols, Ismael & Leydesdorff, Loet & O’Hare, Alice & Nightingale, Paul & Stirling, Andy, 2012. "How journal rankings can suppress interdisciplinary research: A comparison between Innovation Studies and Business & Management," Research Policy, Elsevier, vol. 41(7), pages 1262-1282.
    See citations under working paper version above.
  111. Loet Leydesdorff, 2012. "Alternatives to the journal impact factor: I3 and the top-10% (or top-25%?) of the most-highly cited papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(2), pages 355-365, August.

    Cited by:

    1. Vinkler, Péter, 2014. "The use of the Percentage Rank Position index for comparative evaluation of journals," Journal of Informetrics, Elsevier, vol. 8(2), pages 340-348.
    2. Dorta-González, Pablo & Dorta-González, María Isabel & Santos-Peñate, Dolores Rosa & Suárez-Vega, Rafael, 2014. "Journal topic citation potential and between-field comparisons: The topic normalized impact factor," Journal of Informetrics, Elsevier, vol. 8(2), pages 406-418.
    3. David A. Pendlebury & Jonathan Adams, 2012. "Comments on a critique of the Thomson Reuters journal impact factor," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(2), pages 395-401, August.
    4. Lando, Tommaso & Bertoli-Barsotti, Lucio, 2017. "Measuring the citation impact of journals with generalized Lorenz curves," Journal of Informetrics, Elsevier, vol. 11(3), pages 689-703.
    5. Péter Vinkler, 2019. "Core journals and elite subsets in scientometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(1), pages 241-259, October.
    6. Mingers, John & Leydesdorff, Loet, 2015. "A review of theory and practice in scientometrics," European Journal of Operational Research, Elsevier, vol. 246(1), pages 1-19.
    7. Antonio Protic & Biserka Runje & Josip Stepanic, 2013. "Distribution of Citations in one Volume of a Journal," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 11(2), pages 227-237.
    8. Tian Yu & Guang Yu & Peng-Yu Li & Liang Wang, 2014. "Citation impact prediction for scientific papers using stepwise regression analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1233-1252, November.
    9. Feiheng Luo & Aixin Sun & Mojisola Erdt & Aravind Sesagiri Raamkumar & Yin-Leng Theng, 2018. "Exploring prestigious citations sourced from top universities in bibliometrics and altmetrics: a case study in the computer science discipline," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(1), pages 1-17, January.
    10. Dorta-González, P. & Dorta-González, M.I., 2013. "Impact maturity times and citation time windows: The 2-year maximum journal impact factor," Journal of Informetrics, Elsevier, vol. 7(3), pages 593-602.
    11. Albarrán, Pedro & Herrero, Carmen & Ruiz-Castillo, Javier & Villar, Antonio, 2017. "The Herrero-Villar approach to citation impact," Journal of Informetrics, Elsevier, vol. 11(2), pages 625-640.
    12. Péter Vinkler, 2017. "The size and impact of the elite set of publications in scientometric assessments," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(1), pages 163-177, January.
    13. David Urbano & Sebastian Aparicio & David Audretsch, 2019. "Twenty-five years of research on institutions, entrepreneurship, and economic growth: what has been learned?," Small Business Economics, Springer, vol. 53(1), pages 21-49, June.
    14. Petridis, Konstantinos & Malesios, Chrisovalantis & Arabatzis, Garyfallos & Thanassoulis, Emmanuel, 2013. "Efficiency analysis of forestry journals: Suggestions for improving journals’ quality," Journal of Informetrics, Elsevier, vol. 7(2), pages 505-521.
    15. Pablo Dorta-González & María Isabel Dorta-González & Rafael Suárez-Vega, 2015. "An approach to the author citation potential: measures of scientific performance which are invariant across scientific fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1467-1496, February.
    16. Mingyang Wang & Shijia Jiao & Kah-Hin Chai & Guangsheng Chen, 2019. "Building journal’s long-term impact: using indicators detected from the sustained active articles," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(1), pages 261-283, October.
    17. Mingers, John & Yang, Liying, 2017. "Evaluating journal quality: A review of journal citation indicators and ranking in business and management," European Journal of Operational Research, Elsevier, vol. 257(1), pages 323-337.
    18. Elias Sanz-Casado & Carlos García-Zorita & Ronald Rousseau, 2016. "Using h-cores to study the most-cited articles of the twenty-first century," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(1), pages 243-261, July.
    19. Liping Yu & Houqiang Yu, 2016. "Does the average JIF percentile make a difference?," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 1979-1987, December.
    20. Loet Leydesdorff, 2013. "An evaluation of impacts in “Nanoscience & nanotechnology”: steps towards standards for citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(1), pages 35-55, January.
    21. Liang, Liming & Zhong, Zhen & Rousseau, Ronald, 2015. "Uncited papers, uncited authors and uncited topics: A case study in library and information science," Journal of Informetrics, Elsevier, vol. 9(1), pages 50-58.
    22. Péter Vinkler, 2023. "Impact of the number and rank of coauthors on h-index and π-index. The part-impact method," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(4), pages 2349-2369, April.
    23. Chen, Kun & Ren, Xian-tong & Yang, Guo-liang, 2021. "A novel approach for assessing academic journals: Application of integer DEA model for management science and operations research field," Journal of Informetrics, Elsevier, vol. 15(3).
    24. Adriana Bin & Sergio Salles-Filho & Luiza Maria Capanema & Fernando Antonio Basile Colugnati, 2015. "What difference does it make? Impact of peer-reviewed scholarships on scientific production," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1167-1188, February.
    25. Maria Cláudia Cabrini Grácio & Ely Francina Tannuri Oliveira & Zaida Chinchilla-Rodríguez & Henk F. Moed, 2020. "Does corresponding authorship influence scientific impact in collaboration: Brazilian institutions as a case of study," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1349-1369, November.
    26. Pilar Valderrama & Manuel Escabias & Evaristo Jiménez-Contreras & Alberto Rodríguez-Archilla & Mariano J. Valderrama, 2018. "Proposal of a stochastic model to determine the bibliometric variables influencing the quality of a journal: application to the field of Dentistry," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(2), pages 1087-1095, May.

  112. Loet Leydesdorff & Lutz Bornmann, 2012. "Percentile ranks and the integrated impact indicator (I3)," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(9), pages 1901-1902, September.

    Cited by:

    1. Schreiber, Michael, 2014. "How to improve the outcome of performance evaluations in terms of percentiles for citation frequencies of my papers," Journal of Informetrics, Elsevier, vol. 8(4), pages 873-879.
    2. Lutz Bornmann & Alexander Tekles & Loet Leydesdorff, 2019. "How well does I3 perform for impact measurement compared to other bibliometric indicators? The convergent validity of several (field-normalized) indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 1187-1205, May.
    3. Albarrán, Pedro & Herrero, Carmen & Ruiz-Castillo, Javier & Villar, Antonio, 2017. "The Herrero-Villar approach to citation impact," Journal of Informetrics, Elsevier, vol. 11(2), pages 625-640.
    4. Bornmann, Lutz & Leydesdorff, Loet & Wang, Jian, 2013. "Which percentile-based approach should be preferred for calculating normalized citation impact values? An empirical comparison of five approaches including a newly developed citation-rank approach (P1," Journal of Informetrics, Elsevier, vol. 7(4), pages 933-944.
    5. Lutz Bornmann & Loet Leydesdorff, 2018. "Count highly-cited papers instead of papers with h citations: use normalized citation counts and compare “like with like”!," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(2), pages 1119-1123, May.
    6. Lutz Bornmann & Richard Williams, 2020. "An evaluation of percentile measures of citation impact, and a proposal for making them better," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1457-1478, August.
    7. Denis Bouyssou & Thierry Marchant, 2016. "Ranking authors using fractional counting of citations: An axiomatic approach," Post-Print hal-01397699, HAL.

  113. R. D. Shelton & Loet Leydesdorff, 2012. "Publish or patent: Bibliometric evidence for empirical trade‐offs in national funding strategies," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(3), pages 498-511, March.

    Cited by:

    1. David Minguillo & Mike Thelwall, 2015. "Which are the best innovation support infrastructures for universities? Evidence from R&D output and commercial activities," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 1057-1081, January.
    2. Strand, Øivind & Leydesdorff, Loet, 2013. "Where is synergy indicated in the Norwegian innovation system? Triple-Helix relations among technology, organization, and geography," Technological Forecasting and Social Change, Elsevier, vol. 80(3), pages 471-484.
    3. Arkadiusz Œwiadek & Piotr Dzikowski & Jadwiga Gor¹czkowska & Marek Tomaszewski, 2022. "The National Innovation System in a catching-up country: empirical evidence based on micro data of a triple helix in Poland," Oeconomia Copernicana, Institute of Economic Research, vol. 13(2), pages 511-540, June.
    4. Tingting Liu & Xiaoxian Zhu & Mengqiu Cao, 2022. "Impacts of Reduced Inequalities on Quality Education: Examining the Relationship between Regional Sustainability and Higher Education," Sustainability, MDPI, vol. 14(21), pages 1-15, October.
    5. Loet Leydesdorff & Duncan Kushnir & Ismael Rafols, 2014. "Interactive overlay maps for US patent (USPTO) data based on International Patent Classification (IPC)," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1583-1599, March.
    6. Fu, Junying & Frietsch, Rainer & Tagscherer, Ulrike, 2013. "Publication activity in the Science Citation Index Expanded (SCIE) database in the context of Chinese science and technology policy from 1977 to 2012," Discussion Papers "Innovation Systems and Policy Analysis" 35, Fraunhofer Institute for Systems and Innovation Research (ISI).
    7. Andreas Blom & George Lan & Mariam Adil, 2016. "Sub-Saharan African Science, Technology, Engineering, and Mathematics Research," World Bank Publications - Books, The World Bank Group, number 23142.
    8. Hamdi A. Al-Jamimi & Galal M. BinMakhashen & Lutz Bornmann, 2022. "Use of bibliometrics for research evaluation in emerging markets economies: a review and discussion of bibliometric indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(10), pages 5879-5930, October.
    9. Loreto Mora-Apablaza & Carlos Navarrete, 2022. "Patents as indicators of the technological position of countries on a global level?," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(3), pages 1233-1246, March.
    10. M. Gouveia & R. Inglesi-Lotz, 2021. "Examining the relationship between climate change-related research output and CO2 emissions," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(11), pages 9069-9111, November.
    11. R. D. Shelton, 2020. "Scientometric laws connecting publication counts to national research funding," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(1), pages 181-206, April.
    12. Øivind Strand & Inga Ivanova & Loet Leydesdorff, 2017. "Decomposing the Triple-Helix synergy into the regional innovation systems of Norway: firm data and patent networks," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(3), pages 963-988, May.
    13. Leydesdorff, Loet & Wagner, Caroline S. & Bornmann, Lutz, 2014. "The European Union, China, and the United States in the top-1% and top-10% layers of most-frequently cited publications: Competition and collaborations," Journal of Informetrics, Elsevier, vol. 8(3), pages 606-617.
    14. Jabłońska-Sabuka, Matylda & Sitarz, Robert & Kraslawski, Andrzej, 2014. "Forecasting research trends using population dynamics model with Burgers’ type interaction," Journal of Informetrics, Elsevier, vol. 8(1), pages 111-122.

  114. Loet Leydesdorff & Lutz Bornmann, 2012. "Testing differences statistically with the Leiden ranking," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(3), pages 781-783, September.

    Cited by:

    1. Hyeonchae Yang & Woo-Sung Jung, 2015. "A strategic management approach for Korean public research institutes based on bibliometric investigation," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(4), pages 1437-1464, July.
    2. Bornmann, Lutz & Leydesdorff, Loet & Mutz, Rüdiger, 2013. "The use of percentiles and percentile rank classes in the analysis of bibliometric data: Opportunities and limits," Journal of Informetrics, Elsevier, vol. 7(1), pages 158-165.
    3. Cinzia Daraio & Simone Di Leo & Loet Leydesdorff, 2022. "Using the Leiden Rankings as a Heuristics: Evidence from Italian universities in the European landscape," LEM Papers Series 2022/08, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    4. Caroline S. Wagner & Lin Zhang & Loet Leydesdorff, 2022. "A discussion of measuring the top-1% most-highly cited publications: quality and impact of Chinese papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(4), pages 1825-1839, April.
    5. Bornmann, Lutz, 2013. "The problem of citation impact assessments for recent publication years in institutional evaluations," Journal of Informetrics, Elsevier, vol. 7(3), pages 722-729.
    6. Cinzia Daraio & Simone Di Leo & Loet Leydesdorff, 2023. "A heuristic approach based on Leiden rankings to identify outliers: evidence from Italian universities in the European landscape," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(1), pages 483-510, January.
    7. Leydesdorff, Loet & Wagner, Caroline S. & Bornmann, Lutz, 2014. "The European Union, China, and the United States in the top-1% and top-10% layers of most-frequently cited publications: Competition and collaborations," Journal of Informetrics, Elsevier, vol. 8(3), pages 606-617.
    8. Park, Han Woo & Leydesdorff, Loet, 2013. "Decomposing social and semantic networks in emerging “big data” research," Journal of Informetrics, Elsevier, vol. 7(3), pages 756-765.

  115. Leydesdorff, Loet & Rafols, Ismael, 2012. "Interactive overlays: A new method for generating global journal maps from Web-of-Science data," Journal of Informetrics, Elsevier, vol. 6(2), pages 318-332.

    Cited by:

    1. Núria Bautista-Puig & Jorge Mañana-Rodríguez & Antonio Eleazar Serrano-López, 2021. "Role taxonomy of green and sustainable science and technology journals: exportation, importation, specialization and interdisciplinarity," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(5), pages 3871-3892, May.
    2. Ping Zhou & Youneng Pan, 2015. "A comparative analysis of publication portfolios of selected economies," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(2), pages 825-842, November.
    3. Loet Leydesdorff & Daniele Rotolo & Ismael Rafols, 2012. "Bibliometric perspectives on medical innovation using the medical subject Headings of PubMed," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(11), pages 2239-2253, November.
    4. Xiaozan Lyu & Ping Zhou & Loet Leydesdorff, 2020. "Eco-system mapping of techno-science linkages at the level of scholarly journals and fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2037-2055, September.
    5. Hric, Darko & Kaski, Kimmo & Kivelä, Mikko, 2018. "Stochastic block model reveals maps of citation patterns and their evolution in time," Journal of Informetrics, Elsevier, vol. 12(3), pages 757-783.
    6. Loet Leydesdorff & Stephen Carley & Ismael Rafols, 2013. "Global maps of science based on the new Web-of-Science categories," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(2), pages 589-593, February.
    7. Loet Leydesdorff & Duncan Kushnir & Ismael Rafols, 2014. "Interactive overlay maps for US patent (USPTO) data based on International Patent Classification (IPC)," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1583-1599, March.
    8. Angelito Calma & Martin Davies, 2016. "Academy of Management Journal, 1958–2014: a citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(2), pages 959-975, August.
    9. Leydesdorff, Loet & Bornmann, Lutz & Zhou, Ping, 2016. "Construction of a pragmatic base line for journal classifications and maps based on aggregated journal-journal citation relations," Journal of Informetrics, Elsevier, vol. 10(4), pages 902-918.
    10. A. I. M. Jakaria Rahman & Raf Guns & Loet Leydesdorff & Tim C. E. Engels, 2016. "Measuring the match between evaluators and evaluees: cognitive distances between panel members and research groups at the journal level," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 1639-1663, December.
    11. Wang, Linyuan & Zhao, Lin & Mao, Guozhu & Zuo, Jian & Du, Huibin, 2017. "Way to accomplish low carbon development transformation: A bibliometric analysis during 1995–2014," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 57-69.
    12. Sudhir Chandra Das & Sonali Arunima Dhan, 2023. "Trends and Directions of Employee Experience: A Bibliometric Review for Future Research Agenda," Paradigm, , vol. 27(2), pages 172-191, December.
    13. Kosztyán, Zsolt T. & Csizmadia, Tibor & Katona, Attila I., 2021. "SIMILAR – Systematic iterative multilayer literature review method," Journal of Informetrics, Elsevier, vol. 15(1).
    14. Loet Leydesdorff & Lutz Bornmann, 2012. "Mapping (USPTO) patent data using overlays to Google Maps," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(7), pages 1442-1458, July.
    15. Andrea Bonaccorsi & Filippo Chiarello & Gualtiero Fantoni, 2021. "Impact for whom? Mapping the users of public research with lexicon-based text mining," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 1745-1774, February.
    16. Thyago Celso Cavalcante Nepomuceno & Victor Diogho Heuer de Carvalho & Lúcio Camara e Silva & Jadielson Alves de Moura & Ana Paula Cabral Seixas Costa, 2022. "Exploring the Bedouin Syndrome in the Football Fan Culture: Addressing the Hooliganism Phenomena through Networks of Violent Behavior," IJERPH, MDPI, vol. 19(15), pages 1-19, August.
    17. Frank Havemann & Jochen Gläser & Michael Heinz, 2017. "Memetic search for overlapping topics based on a local evaluation of link communities," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 1089-1118, May.
    18. Zhang, Baolong & Wang, Hao & Deng, Sanhong & Su, Xinning, 2020. "Measurement and analysis of Chinese journal discriminative capacity," Journal of Informetrics, Elsevier, vol. 14(1).
    19. Sun, Xiaoling & Ding, Kun & Lin, Yuan, 2016. "Mapping the evolution of scientific fields based on cross-field authors," Journal of Informetrics, Elsevier, vol. 10(3), pages 750-761.
    20. Jing Zhang & Xiaomin Liu & Lili Wu, 2016. "The study of subject-classification based on journal coupling and expert subject-classification system," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(3), pages 1149-1170, June.
    21. Hird, Mackenzie D. & Pfotenhauer, Sebastian M., 2017. "How complex international partnerships shape domestic research clusters: Difference-in-difference network formation and research re-orientation in the MIT Portugal Program," Research Policy, Elsevier, vol. 46(3), pages 557-572.
    22. Celeste Vong & Paulo Rita & Nuno António, 2021. "Health-Related Crises in Tourism Destination Management: A Systematic Review," Sustainability, MDPI, vol. 13(24), pages 1-28, December.
    23. Loet Leydesdorff, 2013. "An evaluation of impacts in “Nanoscience & nanotechnology”: steps towards standards for citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(1), pages 35-55, January.
    24. Kevin W. Boyack, 2017. "Thesaurus-based methods for mapping contents of publication sets," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 1141-1155, May.
    25. Loet Leydesdorff, 2013. "Statistics for the dynamic analysis of scientometric data: the evolution of the sciences in terms of trajectories and regimes," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(3), pages 731-741, September.
    26. Gómez-Núñez, Antonio J. & Batagelj, Vladimir & Vargas-Quesada, Benjamín & Moya-Anegón, Félix & Chinchilla-Rodríguez, Zaida, 2014. "Optimizing SCImago Journal & Country Rank classification by community detection," Journal of Informetrics, Elsevier, vol. 8(2), pages 369-383.
    27. Andrea Bonaccorsi & Nicola Melluso & Francesco Alessandro Massucci, 2022. "Exploring the antecedents of interdisciplinarity at the European Research Council: a topic modeling approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 6961-6991, December.
    28. Xianru Shang & Zijian Liu & Chen Gong & Zhigang Hu & Yuexuan Wu & Chengliang Wang, 2024. "Knowledge mapping and evolution of research on older adults’ technology acceptance: a bibliometric study from 2013 to 2023," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-21, December.

  116. Loet Leydesdorff, 2012. "Accounting for the uncertainty in the evaluation of percentile ranks," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(11), pages 2349-2350, November.

    Cited by:

    1. Schreiber, Michael, 2014. "How to improve the outcome of performance evaluations in terms of percentiles for citation frequencies of my papers," Journal of Informetrics, Elsevier, vol. 8(4), pages 873-879.
    2. Bornmann, Lutz & Leydesdorff, Loet & Wang, Jian, 2013. "Which percentile-based approach should be preferred for calculating normalized citation impact values? An empirical comparison of five approaches including a newly developed citation-rank approach (P1," Journal of Informetrics, Elsevier, vol. 7(4), pages 933-944.
    3. Guoqiang Liang & Haiyan Hou & Qiao Chen & Zhigang Hu, 2020. "Diffusion and adoption: an explanatory model of “question mark” and “rising star” articles," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 219-232, July.
    4. Schreiber, Michael, 2014. "Is the new citation-rank approach P100′ in bibliometrics really new?," Journal of Informetrics, Elsevier, vol. 8(4), pages 997-1004.
    5. Michael Schreiber, 2013. "How much do different ways of calculating percentiles influence the derived performance indicators? A case study," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(3), pages 821-829, December.

  117. Ki-Seok Kwon & Han Woo Park & Minho So & Loet Leydesdorff, 2012. "Has globalization strengthened South Korea’s national research system? National and international dynamics of the Triple Helix of scientific co-authorship relationships in South Korea," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 163-176, January.

    Cited by:

    1. Eustache Mêgnigbêto, 2018. "Correlation Between Transmission Power and Some Indicators Used to Measure the Knowledge-Based Economy: Case of Six OECD Countries," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 9(4), pages 1168-1183, December.
    2. Yuandi Wang & Jason Li-Ying, 2014. "How do the BRIC countries play their roles in the global innovation arena? A study based on USPTO patents during 1990–2009," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(2), pages 1065-1083, February.
    3. Zhang, Yi & Chen, Kaihua & Fu, Xiaolan, 2019. "Scientific effects of Triple Helix interactions among research institutes, industries and universities," Technovation, Elsevier, vol. 86, pages 33-47.
    4. Freeman, Richard Barry, 2015. "Knowledge, Knowledge … Knowledge for My Economy," Scholarly Articles 33496270, Harvard University Department of Economics.
    5. Arif Mehmood & Byung-Won On & Ingyu Lee & Han Woo Park & Gyu Sang Choi, 2018. "Corroborating social media echelon in cancer research," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(2), pages 801-813, March.
    6. Loet Leydesdorff & Martin Meyer, 2013. "A reply to Etzkowitz’ comments to Leydesdorff and Martin (2010): technology transfer and the end of the Bayh–Dole effect," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(3), pages 927-934, December.
    7. Jungwon Yoon, 2015. "The evolution of South Korea’s innovation system: moving towards the triple helix model?," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(1), pages 265-293, July.
    8. Lee, Young Hoon & Kim, YoungJun, 2016. "Analyzing interaction in R&D networks using the Triple Helix method: Evidence from industrial R&D programs in Korean government," Technological Forecasting and Social Change, Elsevier, vol. 110(C), pages 93-105.
    9. Stek, Pieter E. & van Geenhuizen, Marina S., 2016. "The influence of international research interaction on national innovation performance: A bibliometric approach," Technological Forecasting and Social Change, Elsevier, vol. 110(C), pages 61-70.
    10. Xia Fan & Xiaowan Yang & Liming Chen, 2015. "Diversified resources and academic influence: patterns of university–industry collaboration in Chinese research-oriented universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(2), pages 489-509, August.
    11. Mêgnigbêto, Eustache, 2018. "Modelling the Triple Helix of university-industry-government relationships with game theory: Core, Shapley value and nucleolus as indicators of synergy within an innovation system," Journal of Informetrics, Elsevier, vol. 12(4), pages 1118-1132.
    12. Pieter E. Stek, 2021. "Identifying spatial technology clusters from patenting concentrations using heat map kernel density estimation," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 911-930, February.
    13. Inga A. Ivanova & Loet Leydesdorff, 2014. "A simulation model of the Triple Helix of university–industry–government relations and the decomposition of the redundancy," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(3), pages 927-948, June.
    14. Loet Leydesdorff & Han Woo Park & Balazs Lengyel, 2014. "A routine for measuring synergy in university–industry–government relations: mutual information as a Triple-Helix and Quadruple-Helix indicator," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 27-35, April.
    15. Yangson Kim & Hee Jin Lim & Soo Jeung Lee, 2014. "Applying research collaboration as a new way of measuring research performance in Korean universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 97-115, April.
    16. Kamal Badar & Julie M. Hite & Yuosre F. Badir, 2013. "Examining the relationship of co-authorship network centrality and gender on academic research performance: the case of chemistry researchers in Pakistan," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(2), pages 755-775, February.
    17. Inga Ivanova & Oivind Strand & Loet Leydesdorff, 2019. "The Synergy and Cycle Values in Regional Innovation Systems: The Case of Norway," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 13(1), pages 48-61.
    18. Tao, Zhuang & Shuliang, Zhao, 2022. "Collaborative innovation relationship in Yangtze River Delta of China: Subjects collaboration and spatial correlation," Technology in Society, Elsevier, vol. 69(C).
    19. Swapan Kumar Patra & Mammo Muchie, 2018. "Research and innovation in South African universities: from the triple helix’s perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 51-76, July.
    20. Ssu-Han Chen & Mu-Hsuan Huang & Dar-Zen Chen, 2013. "Driving factors of external funding and funding effects on academic innovation performance in university–industry–government linkages," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(3), pages 1077-1098, March.
    21. Artur F. Tomeczek, 2023. "The rise of the chaebol: A bibliometric analysis of business groups in South Korea," Papers 2306.08743, arXiv.org.
    22. Han Woo Park, 2014. "An interview with Loet Leydesdorff: the past, present, and future of the triple helix in the age of big data," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 199-202, April.
    23. Celis, Sergio & Kim, Jeongeun, 2018. "The making of homophilic networks in international research collaborations: A global perspective from Chilean and Korean engineering," Research Policy, Elsevier, vol. 47(3), pages 573-582.
    24. Madhav Govind & Merle Küttim, 2016. "International Knowledge Transfer from University to Industry: A Systematic Literature Review," Research in Economics and Business: Central and Eastern Europe, Tallinn School of Economics and Business Administration, Tallinn University of Technology, vol. 8(2).
    25. Altaf, Aqsa & Hassan, Ibn e & Batool, Sana, 2019. "The role of ORIC in the evolution of the triple helix culture of innovation: The case of Pakistan," Technology in Society, Elsevier, vol. 56(C), pages 157-166.
    26. Baier-Fuentes, Hugo & Guerrero, Maribel & Amorós, José Ernesto, 2021. "Does triple helix collaboration matter for the early internationalisation of technology-based firms in emerging Economies?," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    27. Jungwon Yoon & Joshua SungWoo Yang & Han Woo Park, 2017. "Quintuple helix structure of Sino-Korean research collaboration in science," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(1), pages 61-81, October.
    28. Anna Sworowska-Baranowska, 2021. "Science-Nonscience Research Partnership in Poland," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 3), pages 96-113.
    29. George A. Barnett & Han Woo Park & Ke Jiang & Chuan Tang & Isidro F. Aguillo, 2014. "A multi-level network analysis of web-citations among the world’s universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 5-26, April.
    30. Holger Graf & Martin Kalthaus, 2016. "International Research Networks: Determinants of Country Embeddedness," Jena Economics Research Papers 2016-016, Friedrich-Schiller-University Jena.
    31. Freeman, Richard B., 2015. "Knowledge, Knowledge… Knowledge for My Economy," KDI Journal of Economic Policy, Korea Development Institute (KDI), vol. 37(2), pages 1-21.
    32. Pieter Stek & Marina Geenhuizen, 2015. "Measuring the dynamics of an innovation system using patent data: a case study of South Korea, 2001–2010," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(4), pages 1325-1343, July.
    33. Han Woo Park, 2014. "Mapping election campaigns through negative entropy: Triple and Quadruple Helix approach to South Korea’s 2012 presidential election," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 187-197, April.
    34. Candelaria Barrios & Esther Flores & M. Ángeles Martínez & Marta Ruiz-Martínez, 2019. "Is there convergence in international research collaboration? An exploration at the country level in the basic and applied science fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(2), pages 631-659, August.
    35. Chung Joo Chung, 2014. "An analysis of the status of the Triple Helix and university–industry–government relationships in Asia," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 139-149, April.
    36. Inga Ivanova & Oivind Strand & Loet Leydesdorff, 2014. "Synergy cycles in the Norwegian innovation system: The relation between synergy and cycle values," Papers 1409.2760, arXiv.org.
    37. Marina Van Geenhuizen & Pieter Stek, 2015. "Mapping innovation in the global photovoltaic industry: a bibliometric approach to cluster identification and analysis," ERSA conference papers ersa15p697, European Regional Science Association.
    38. Arif Mehmood & Gyu Sang Choi & Otto F. Feigenblatt & Han Woo Park, 2016. "Proving ground for social network analysis in the emerging research area “Internet of Things” (IoT)," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(1), pages 185-201, October.
    39. Weimin Kang & Shuliang Zhao & Wei Song & Tao Zhuang, 2019. "Triple helix in the science and technology innovation centers of China from the perspective of mutual information: a comparative study between Beijing and Shanghai," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 921-940, March.
    40. Arranz, Nieves & Arroyabe, Marta F. & Schumann, Martin, 2020. "The role of NPOs and international actors in the national innovation system: A network-based approach," Technological Forecasting and Social Change, Elsevier, vol. 159(C).
    41. Hyejin Park & Han Woo Park, 2018. "Research evaluation of Asian countries using altmetrics: comparing South Korea, Japan, Taiwan, Singapore, and China," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(2), pages 771-788, November.
    42. JongWuk Ahn & Hyundo Choi & Dong-hyun Oh, 2019. "Leveraging bridging universities to access international knowledge: Korean universities’ R&D internationalization," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(2), pages 519-537, August.
    43. Park, Han Woo & Leydesdorff, Loet, 2013. "Decomposing social and semantic networks in emerging “big data” research," Journal of Informetrics, Elsevier, vol. 7(3), pages 756-765.
    44. Han Woo Park & Jungwon Yoon & Loet Leydesdorff, 2016. "The normalization of co-authorship networks in the bibliometric evaluation: the government stimulation programs of China and Korea," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 1017-1036, November.
    45. Igors Skute & Kasia Zalewska-Kurek & Isabella Hatak & Petra Weerd-Nederhof, 2019. "Mapping the field: a bibliometric analysis of the literature on university–industry collaborations," The Journal of Technology Transfer, Springer, vol. 44(3), pages 916-947, June.
    46. Cinzia Daraio, 2017. "A framework for the Assessment of Research and its impacts," DIAG Technical Reports 2017-04, Department of Computer, Control and Management Engineering, Universita' degli Studi di Roma "La Sapienza".

  118. Loet Leydesdorff, 2012. "The Triple Helix, Quadruple Helix, …, and an N-Tuple of Helices: Explanatory Models for Analyzing the Knowledge-Based Economy?," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 3(1), pages 25-35, March.

    Cited by:

    1. Elias Carayannis & David Campbell, 2011. "Open Innovation Diplomacy and a 21st Century Fractal Research, Education and Innovation (FREIE) Ecosystem: Building on the Quadruple and Quintuple Helix Innovation Concepts and the “Mode 3” Knowledge ," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 2(3), pages 327-372, September.
    2. Birtchnell, Thomas & Böhme, Tillmann & Gorkin, Robert, 2017. "3D printing and the third mission: The university in the materialization of intellectual capital," Technological Forecasting and Social Change, Elsevier, vol. 123(C), pages 240-249.
    3. Brinkhoff, Sascha & Kitzmann, Robert, 2014. "Urban dreams and economic realities – Areas of innovation between the demands of the knowledge society and the requirements of innovative industries," EconStor Conference Papers 233821, ZBW - Leibniz Information Centre for Economics.
    4. A. V. Govorova, 2018. "National Innovation Systems Of Brics Countries : General Features And Prospects Of Cooperation," International Trade and Trade Policy, ФГБОУ ВО "Ð Ð¾Ñ Ñ Ð¸Ð¹Ñ ÐºÐ¸Ð¹ Ñ ÐºÐ¾Ð½Ð¾Ð¼Ð¸Ñ‡ÐµÑ ÐºÐ¸Ð¹ ÑƒÐ½Ð¸Ð²ÐµÑ€Ñ Ð¸Ñ‚ÐµÑ‚ им. Г.Ð’. Плеханова", issue 3.
    5. Grazia Sveva Ascione & Federico Cuomo & Nicole Mariotti & Laura Corazza, 2021. "Urban Living Labs, Circular Economy and Nature-Based Solutions: Ideation and Testing of a New Soil in the City of Turin Using a Multi-stakeholder Perspective," Circular Economy and Sustainability, Springer, vol. 1(2), pages 545-562, September.
    6. Durán-Romero, Gemma & López, Ana M. & Beliaeva, Tatiana & Ferasso, Marcos & Garonne, Christophe & Jones, Paul, 2020. "Bridging the gap between circular economy and climate change mitigation policies through eco-innovations and Quintuple Helix Model," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
    7. Elias G. Carayannis & David F. J. Campbell & Evangelos Grigoroudis, 2022. "Helix Trilogy: the Triple, Quadruple, and Quintuple Innovation Helices from a Theory, Policy, and Practice Set of Perspectives," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(3), pages 2272-2301, September.
    8. Yee Yee Sein & Viktor Prokop, 2021. "Mediating Role of Firm R&D in Creating Product and Process Innovation: Empirical Evidence from Norway," Economies, MDPI, vol. 9(2), pages 1-16, April.
    9. Xiaoran Zheng & Yuzhuo Cai, 2022. "Transforming Innovation Systems into Innovation Ecosystems: The Role of Public Policy," Sustainability, MDPI, vol. 14(12), pages 1-26, June.
    10. Zhang, Yi & Chen, Kaihua & Fu, Xiaolan, 2019. "Scientific effects of Triple Helix interactions among research institutes, industries and universities," Technovation, Elsevier, vol. 86, pages 33-47.
    11. Mikhail Rogov & Céline Rozenblat, 2018. "Urban Resilience Discourse Analysis: Towards a Multi-Level Approach to Cities," Sustainability, MDPI, vol. 10(12), pages 1-21, November.
    12. Shantha Indrajith Hikkaduwa Liyanage & Fulu Godfrey Netswera, 2022. "Greening Universities with Mode 3 and Quintuple Helix Model of Innovation–Production of Knowledge and Innovation in Knowledge-Based Economy, Botswana," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(2), pages 1126-1156, June.
    13. König, Jonas & Suwala, Lech & Delargy, Colin, 2020. "Helix Models of Innovation and Sustainable Development Goals," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, pages 1-15.
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    20. Sergi Lozano & Xosé-Pedro Rodríguez & Alex Arenas, 2014. "Atapuerca: evolution of scientific collaboration in an emergent large-scale research infrastructure," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(2), pages 1505-1520, February.
    21. Ali Najmi & Taha H. Rashidi & Alireza Abbasi & S. Travis Waller, 2017. "Reviewing the transport domain: an evolutionary bibliometrics and network analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 843-865, February.
    22. Stefano Scarazzati & Lili Wang, 2019. "The effect of collaborations on scientific research output: the case of nanoscience in Chinese regions," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(2), pages 839-868, November.
    23. Hao, Hongchang & Ma, Zhe & Wang, Anjian & Xing, Wanli & Song, Hao & Zhao, Pei & Wei, Jiangqiao & Zheng, Shuxian, 2023. "Modeling and assessing the robustness of the lithium global trade system against cascading failures," Resources Policy, Elsevier, vol. 85(PB).
    24. Mêgnigbêto, Eustache, 2018. "Modelling the Triple Helix of university-industry-government relationships with game theory: Core, Shapley value and nucleolus as indicators of synergy within an innovation system," Journal of Informetrics, Elsevier, vol. 12(4), pages 1118-1132.
    25. Zhai, Li & Yan, Xiangbin, 2022. "A directed collaboration network for exploring the order of scientific collaboration," Journal of Informetrics, Elsevier, vol. 16(4).
    26. Xiao, Shiying & Yan, Jun & Zhang, Panpan, 2022. "Incorporating auxiliary information in betweenness measure for input–output networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 607(C).
    27. Eli Rudinow Saetnan & Richard Philip Kipling, 2016. "Evaluating a European knowledge hub on climate change in agriculture: Are we building a better connected community?," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 1057-1074, November.
    28. Anahita Hajibabaei & Andrea Schiffauerova & Ashkan Ebadi, 2023. "Women and key positions in scientific collaboration networks: analyzing central scientists’ profiles in the artificial intelligence ecosystem through a gender lens," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(2), pages 1219-1240, February.
    29. Fengchao Liu & Na Zhang & Cong Cao, 2017. "An evolutionary process of global nanotechnology collaboration: a social network analysis of patents at USPTO," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1449-1465, June.
    30. Clemens B. Fell & Cornelius J. König, 2016. "Is there a gender difference in scientific collaboration? A scientometric examination of co-authorships among industrial–organizational psychologists," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(1), pages 113-141, July.
    31. Lihua Yang, 2018. "Collaborative knowledge-driven governance: Types and mechanisms of collaboration between science, social science, and local knowledge," Science and Public Policy, Oxford University Press, vol. 45(1), pages 53-73.
    32. Hugo Confraria & Fernando Vargas, 2019. "Scientific systems in Latin America: performance, networks, and collaborations with industry," The Journal of Technology Transfer, Springer, vol. 44(3), pages 874-915, June.
    33. Su-mei Yan & Ji-qing Sun, 2015. "Assessing China’s salt lake resources R&D based on bibliometrics analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(2), pages 1141-1155, November.
    34. Yue Wang & Ning Li & Bin Zhang & Qian Huang & Jian Wu & Yang Wang, 2023. "The effect of structural holes on producing novel and disruptive research in physics," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(3), pages 1801-1823, March.
    35. Liliana Arroyo Moliner & Eva Gallardo-Gallardo & Pedro Gallo de Puelles, 2017. "Understanding scientific communities: a social network approach to collaborations in Talent Management research," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(3), pages 1439-1462, December.
    36. Shanwu Tian & Xiurui Xu & Ping Li, 2021. "Acknowledgement network and citation count: the moderating role of collaboration network," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(9), pages 7837-7857, September.
    37. Chen, Shenwen & Ren, Siqiao & Zheng, Lei & Yang, Hanxin & Du, Wenbo & Cao, Xianbin, 2022. "A comparison study of educational scientific collaboration in China and the USA," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 585(C).
    38. Tai Quan Peng & Zhen-Zhen Wang, 2013. "Network closure, brokerage, and structural influence of journals: a longitudinal study of journal citation network in Internet research (2000–2010)," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(3), pages 675-693, December.
    39. Ma, Yaxue & Ba, Zhichao & Zhao, Haiping & Sun, Jianjun, 2023. "How to configure intellectual capital of research teams for triggering scientific breakthroughs: Exploratory study in the field of gene editing," Journal of Informetrics, Elsevier, vol. 17(4).
    40. Yutao Sun & Kai Liu, 2016. "Proximity effect, preferential attachment and path dependence in inter-regional network: a case of China’s technology transaction," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(1), pages 201-220, July.
    41. Zhang, Xinyuan & Xie, Qing & Song, Min, 2021. "Measuring the impact of novelty, bibliometric, and academic-network factors on citation count using a neural network," Journal of Informetrics, Elsevier, vol. 15(2).
    42. Alireza Abbasi, 2014. "Link formation pattern during emergency response network dynamics," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 71(3), pages 1957-1969, April.
    43. Sabine Brunswicker & Sorin Adam Matei & Michael Zentner & Lynn Zentner & Gerhard Klimeck, 2017. "Creating impact in the digital space: digital practice dependency in communities of digital scientific innovations," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(1), pages 417-442, January.
    44. Peng, Tai-Quan, 2015. "Assortative mixing, preferential attachment, and triadic closure: A longitudinal study of tie-generative mechanisms in journal citation networks," Journal of Informetrics, Elsevier, vol. 9(2), pages 250-262.
    45. Sameer Kumar & Jariah Mohd. Jan, 2014. "Research collaboration networks of two OIC nations: comparative study between Turkey and Malaysia in the field of ‘Energy Fuels’, 2009–2011," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(1), pages 387-414, January.
    46. Lili Xu & Fanrui Su & Jie Zhang & Na Zhang, 2022. "High-Speed Rail Network Structural Characteristics and Evolution in China," Mathematics, MDPI, vol. 10(18), pages 1-17, September.
    47. Swapan Kumar Patra & Mammo Muchie, 2018. "Research and innovation in South African universities: from the triple helix’s perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 51-76, July.
    48. Kumar, Satish & Sahoo, Saumyaranjan & Lim, Weng Marc & Kraus, Sascha & Bamel, Umesh, 2022. "Fuzzy-set qualitative comparative analysis (fsQCA) in business and management research: A contemporary overview," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
    49. Jiancheng Guan & Lanxin Pang, 2018. "Bidirectional relationship between network position and knowledge creation in Scientometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(1), pages 201-222, April.
    50. Eunhye Park & Woo-Hyuk Kim, 2022. "A Retrospective Literature Review of Eating Disorder Research (1990–2021): Application of Bibliometrics and Topical Trends," IJERPH, MDPI, vol. 19(13), pages 1-23, June.
    51. Lili Wang & Xianwen Wang & Niels J. Philipsen, 2017. "Network structure of scientific collaborations between China and the EU member states," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(2), pages 765-781, November.
    52. Aurora González-Teruel & Gregorio González-Alcaide & Maite Barrios & María-Francisca Abad-García, 2015. "Mapping recent information behavior research: an analysis of co-authorship and co-citation networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(2), pages 687-705, May.
    53. Jiancheng Guan & Yan Yan & Jingjing Zhang, 2015. "How do collaborative features affect scientific output? Evidences from wind power field," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 333-355, January.
    54. Krzysztof Klincewicz, 2016. "The emergent dynamics of a technological research topic: the case of graphene," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(1), pages 319-345, January.
    55. Loet Leydesdorff & Lutz Bornmann, 2020. "“Interdisciplinarity” and “Synergy” in the Œuvre of Judit Bar-Ilan," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(3), pages 1247-1260, June.
    56. Frederick Owusu-Nimo & Nelius Boshoff, 2017. "Research collaboration in Ghana: patterns, motives and roles," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(3), pages 1099-1121, March.
    57. Marcelo Werneck Barbosa & Marcelo Bronzo Ladeira & Alberto Calle Vicente, 2017. "An analysis of international coauthorship networks in the supply chain analytics research area," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1703-1731, June.
    58. Alexandru Stan, 2015. "A Price Crash Alerting Strategy for Agent-based Artificial Financial Markets," MIC 2015: Managing Sustainable Growth; Proceedings of the Joint International Conference, Portorož, Slovenia, 28–30 May 2015,, University of Primorska, Faculty of Management Koper.
    59. Lepori, Benedetto & Barberio, Vitaliano & Seeber, Marco & Aguillo, Isidro, 2013. "Core–periphery structures in national higher education systems. A cross-country analysis using interlinking data," Journal of Informetrics, Elsevier, vol. 7(3), pages 622-634.
    60. Righi, Riccardo & Samoili, Sofia & López Cobo, Montserrat & Vázquez-Prada Baillet, Miguel & Cardona, Melisande & De Prato, Giuditta, 2020. "The AI techno-economic complex System: Worldwide landscape, thematic subdomains and technological collaborations," Telecommunications Policy, Elsevier, vol. 44(6).
    61. Liu, Jie & Li, Yunpeng & Ruan, Zichan & Fu, Guangyuan & Chen, Xiaowu & Sadiq, Rehan & Deng, Yong, 2015. "A new method to construct co-author networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 419(C), pages 29-39.
    62. Marzolla, Moreno, 2016. "Assessing evaluation procedures for individual researchers: The case of the Italian National Scientific Qualification," Journal of Informetrics, Elsevier, vol. 10(2), pages 408-438.
    63. Jing Tu, 2019. "What connections lead to good scientific performance?," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(2), pages 587-604, February.
    64. Simen G. Enger, 2017. "Closed clubs: Cumulative advantages and participation in Horizon 2020," Working Papers on Innovation Studies 20170703, Centre for Technology, Innovation and Culture, University of Oslo.
    65. Guillermo Armando Ronda-Pupo & Thong Pham, 2018. "The evolutions of the rich get richer and the fit get richer phenomena in scholarly networks: the case of the strategic management journal," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 363-383, July.
    66. Anuška Ferligoj & Luka Kronegger & Franc Mali & Tom A. B. Snijders & Patrick Doreian, 2015. "Scientific collaboration dynamics in a national scientific system," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(3), pages 985-1012, September.
    67. Sun, Yutao & Cao, Cong, 2018. "The evolving relations between government agencies of innovation policymaking in emerging economies: A policy network approach and its application to the Chinese case," Research Policy, Elsevier, vol. 47(3), pages 592-605.
    68. Pinto, Pablo E. & Vallone, Andres & Honores, Guillermo, 2019. "The structure of collaboration networks: Findings from three decades of co-invention patents in Chile," Journal of Informetrics, Elsevier, vol. 13(4).
    69. Falk Strotebeck, 2014. "Running with the pack? The role of Universities of applied science in a German research network," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 34(2), pages 139-156, October.
    70. Angelou, K. & Maragakis, M. & Kosmidis, K. & Argyrakis, P., 2021. "The evolution of triangular research and innovation collaborations in the European area," Journal of Informetrics, Elsevier, vol. 15(3).
    71. Loet Leydesdorff & Caroline S. Wagner & Lutz Bornmann, 2018. "Betweenness and diversity in journal citation networks as measures of interdisciplinarity—A tribute to Eugene Garfield," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(2), pages 567-592, February.
    72. Chien Hsiang Liao & Mu-Yen Chen, 2018. "Exploring knowledge patterns of library and information science journals within the field: a citation analysis from 2009 to 2016," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(3), pages 1991-2008, December.
    73. Eungi Kim & Eun Sil Kim, 2020. "A critical examination of international research conducted by North Korean authors: Increasing trends of collaborative research between China and North Korea," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 429-450, July.
    74. Li Zhai & Xiujuan Li & Xiangbin Yan & Weiguo Fan, 2014. "Evolutionary analysis of collaboration networks in the field of information systems," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(3), pages 1657-1677, December.
    75. Henning Kroll & Peter Neuhäusler, 2022. "“Formal and informal networkedness among German Academics”: exploring the role of conferences and co-publications in scientific performance," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(11), pages 6431-6452, November.
    76. Eustache Mêgnigbêto, 2013. "International collaboration in scientific publishing: the case of West Africa (2001–2010)," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(3), pages 761-783, September.
    77. Alireza Abbasi, 2013. "h-Type hybrid centrality measures for weighted networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(2), pages 633-640, August.
    78. Chen, Wei & Yan, Yan, 2023. "New components and combinations: The perspective of the internal collaboration networks of scientific teams," Journal of Informetrics, Elsevier, vol. 17(2).
    79. Vasaf, Esmaeil & Sanatkhani, Mahboobeh, 2014. "Dynamic of Publication Network in German Photovoltaic Industry," MPRA Paper 65453, University Library of Munich, Germany.
    80. Marjan Cugmas & Anuška Ferligoj & Luka Kronegger, 2016. "The stability of co-authorship structures," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(1), pages 163-186, January.
    81. Jiancheng Guan & He Wei, 2015. "A bilateral comparison of research performance at an institutional level," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(1), pages 147-173, July.
    82. Noémi Gaskó & Rodica Ioana Lung & Mihai Alexandru Suciu, 2016. "A new network model for the study of scientific collaborations: Romanian computer science and mathematics co-authorship networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(2), pages 613-632, August.
    83. Ebadi, Ashkan & Schiffauerova, Andrea, 2015. "How to become an important player in scientific collaboration networks?," Journal of Informetrics, Elsevier, vol. 9(4), pages 809-825.
    84. Šubelj, Lovro & Fiala, Dalibor & Ciglarič, Tadej & Kronegger, Luka, 2019. "Convexity in scientific collaboration networks," Journal of Informetrics, Elsevier, vol. 13(1), pages 10-31.
    85. Limei Zhao & Qingpu Zhang & Liang Wang, 2014. "Benefit distribution mechanism in the team members’ scientific research collaboration network," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(2), pages 363-389, August.

  120. Caroline S. Wagner & Loet Leydesdorff, 2012. "An Integrated Impact Indicator: A new definition of 'Impact' with policy relevance," Research Evaluation, Oxford University Press, vol. 21(3), pages 183-188, July.

    Cited by:

    1. Vinkler, Péter, 2014. "The use of the Percentage Rank Position index for comparative evaluation of journals," Journal of Informetrics, Elsevier, vol. 8(2), pages 340-348.
    2. Lutz Bornmann & Alexander Tekles & Loet Leydesdorff, 2019. "How well does I3 perform for impact measurement compared to other bibliometric indicators? The convergent validity of several (field-normalized) indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 1187-1205, May.
    3. Caroline S. Wagner & Lin Zhang & Loet Leydesdorff, 2022. "A discussion of measuring the top-1% most-highly cited publications: quality and impact of Chinese papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(4), pages 1825-1839, April.
    4. Jingda Ding & Chao Liu & Goodluck Asobenie Kandonga, 2020. "Exploring the limitations of the h-index and h-type indexes in measuring the research performance of authors," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(3), pages 1303-1322, March.
    5. Albarrán, Pedro & Herrero, Carmen & Ruiz-Castillo, Javier & Villar, Antonio, 2017. "The Herrero-Villar approach to citation impact," Journal of Informetrics, Elsevier, vol. 11(2), pages 625-640.
    6. Vinkler, Péter, 2013. "Comparative rank assessment of journal articles," Journal of Informetrics, Elsevier, vol. 7(3), pages 712-717.
    7. Waltman, Ludo, 2016. "A review of the literature on citation impact indicators," Journal of Informetrics, Elsevier, vol. 10(2), pages 365-391.

  121. Loet Leydesdorff, 2011. "Katy Börner: Atlas of science: visualizing what we know," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(2), pages 675-677, August.

    Cited by:

    1. Ion Georgiou & Joaquim Heck, 2021. "The emergence of problem structuring methods, 1950s–1989: An atlas of the journal literature," Systems Research and Behavioral Science, Wiley Blackwell, vol. 38(6), pages 756-796, November.

  122. Loet Leydesdorff, 2011. "“Structuration” by intellectual organization: the configuration of knowledge in relations among structural components in networks of science," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(2), pages 499-520, August.

    Cited by:

    1. Xiaojun Hu & Xian Li & Ronald Rousseau, 2021. "Mathematical reflections on Triple Helix calculations," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(10), pages 8581-8587, October.
    2. Loet Leydesdorff & Han Woo Park & Balazs Lengyel, 2014. "A routine for measuring synergy in university–industry–government relations: mutual information as a Triple-Helix and Quadruple-Helix indicator," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 27-35, April.
    3. Saikou Y. Diallo & Christopher J. Lynch & Ross Gore & Jose J. Padilla, 2016. "Identifying key papers within a journal via network centrality measures," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(3), pages 1005-1020, June.
    4. Yan, Erjia & Ding, Ying & Cronin, Blaise & Leydesdorff, Loet, 2013. "A bird's-eye view of scientific trading: Dependency relations among fields of science," Journal of Informetrics, Elsevier, vol. 7(2), pages 249-264.
    5. Loet Leydesdorff, 2013. "Statistics for the dynamic analysis of scientometric data: the evolution of the sciences in terms of trajectories and regimes," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(3), pages 731-741, September.

  123. Balazs Lengyel & Loet Leydesdorff, 2011. "Regional Innovation Systems in Hungary: The Failing Synergy at the National Level," Regional Studies, Taylor & Francis Journals, vol. 45(5), pages 677-693.

    Cited by:

    1. Imre Lengyel, 2011. "Types of competitiveness of Hungarian regions: agglomeration economies and endogenous regional development," ERSA conference papers ersa11p674, European Regional Science Association.
    2. Balázs Lengyel & Tamás Sebestyén & Loet Leydesdorff, 2015. "Challenges for regional innovation policies in Central and Eastern Europe: Spatial concentration and foreign control of US patenting," Science and Public Policy, Oxford University Press, vol. 42(1), pages 1-14.
    3. Loet Leydesdorff & Igone Porto-Gomez, 2019. "Measuring the expected synergy in Spanish regional and national systems of innovation," The Journal of Technology Transfer, Springer, vol. 44(1), pages 189-209, February.
    4. Dorota Ciołek & Anna Golejewska & Adriana Zabłocka‐Abi Yaghi, 2022. "Innovation drivers in regions. Does urbanization matter?," Growth and Change, Wiley Blackwell, vol. 53(4), pages 1933-1960, December.
    5. Strand, Øivind & Leydesdorff, Loet, 2013. "Where is synergy indicated in the Norwegian innovation system? Triple-Helix relations among technology, organization, and geography," Technological Forecasting and Social Change, Elsevier, vol. 80(3), pages 471-484.
    6. Imre Lengyel, 2011. "The role of clusters in the development of Hungarian city-regions," ERSA conference papers ersa10p313, European Regional Science Association.
    7. Reza Naghizadeh & Shaban Elahi & Manoochehr Manteghi & Sepehr Ghazinoory & Marina Ranga, 2015. "Through the magnifying glass: an analysis of regional innovation models based on co-word and meta-synthesis methods," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(6), pages 2481-2505, November.
    8. Hernández-Trasobares, Alejandro & Murillo-Luna, Josefina L., 2020. "The effect of triple helix cooperation on business innovation: The case of Spain," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    9. Lee, Young Hoon & Kim, YoungJun, 2016. "Analyzing interaction in R&D networks using the Triple Helix method: Evidence from industrial R&D programs in Korean government," Technological Forecasting and Social Change, Elsevier, vol. 110(C), pages 93-105.
    10. Loet Leydesdorff, 2012. "The Triple Helix, Quadruple Helix, …, and an N-Tuple of Helices: Explanatory Models for Analyzing the Knowledge-Based Economy?," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 3(1), pages 25-35, March.
    11. Varga, Attila & Sebestyén, Tamás, 2015. "Innováció Kelet-Közép-Európában. Az EU keretprogramjaiban való részvétel szerepe az innovációs teljesítményben [Innovation in Central East Europe. The role played in innovation performance by parti," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(9), pages 881-908.
    12. Loet Leydesdorff & Han Woo Park & Balazs Lengyel, 2014. "A routine for measuring synergy in university–industry–government relations: mutual information as a Triple-Helix and Quadruple-Helix indicator," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 27-35, April.
    13. Martin Meyer & Kevin Grant & Piera Morlacchi & Dagmara Weckowska, 2014. "Triple Helix indicators as an emergent area of enquiry: a bibliometric perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 151-174, April.
    14. Xiaohua Yu & Yuan Qi & Longzhen Yu & Yuanyuan He, 2022. "Temporal and Spatial Evolution of Coupling Coordination Degree of Industrial Innovation Ecosystem—From the Perspective of Green Transformation," Sustainability, MDPI, vol. 14(7), pages 1-18, March.
    15. Inga Ivanova & Oivind Strand & Loet Leydesdorff, 2019. "The Synergy and Cycle Values in Regional Innovation Systems: The Case of Norway," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 13(1), pages 48-61.
    16. Zoltán Elekes & Balázs Lengyel, 2016. "Related trade linkages, foreign firms, and employment growth in less developed regions," Papers in Evolutionary Economic Geography (PEEG) 1620, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Aug 2016.
    17. Zhe Cao & Xianwei Shi, 2021. "A systematic literature review of entrepreneurial ecosystems in advanced and emerging economies," Small Business Economics, Springer, vol. 57(1), pages 75-110, June.
    18. Izabella Szakálné Kanó & Zsófia Vas & Slávka Klasová, 2023. "Emerging Synergies in Innovation Systems: Creative Industries in Central Europe," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 14(1), pages 450-471, March.
    19. Lengyel, Balázs & Leydesdorff, Loet, 2015. "The Effects of FDI on Innovation Systems in Hungarian Regions: Where is the Synergy Generated?," MPRA Paper 73945, University Library of Munich, Germany.
    20. Imre Lengyel & János Rechnitzer, 2013. "Drivers of Regional Competitiveness in the Central European Countries," Transition Studies Review, Springer;Central Eastern European University Network (CEEUN), vol. 20(3), pages 421-435, November.
    21. Zoltán Elekes & Ron Boschma & Balázs Lengyel, 2018. "Foreign-owned firms as agents of structural change in regions: the case of Hungary 2000-2009," Papers in Evolutionary Economic Geography (PEEG) 1812, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Mar 2018.
    22. Bajmócy, Zoltán & Vas, Zsófia, 2012. "Az innovációs rendszerek 25 éve. Szakirodalmi áttekintés evolúciós közgazdaságtani megközelítésben [25 years of innovation systems. A literature review from the angle of evolutionary economics]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(11), pages 1233-1256.
    23. Miklos Szanyi & Ichiro Iwasaki & Balazs Lengyel, 2011. "Industrial concentration, regional employment and productivity growth - evidence from the late transition period of Hungary," IWE Working Papers 195, Institute for World Economics - Centre for Economic and Regional Studies.
    24. Loet Leydesdorff & Wilfred Dolfsma & Gerben Van der Panne, 2010. "Measuring the Knowledge Base of an Economy in Terms of Triple-Helix Relations," Chapters, in: Riccardo Viale & Henry Etzkowitz (ed.), The Capitalization of Knowledge, chapter 11, Edward Elgar Publishing.
    25. Ibrahim Alnafrah, 2021. "Efficiency evaluation of BRICS’s national innovation systems based on bias-corrected network data envelopment analysis," Journal of Innovation and Entrepreneurship, Springer, vol. 10(1), pages 1-28, December.
    26. Inga Ivanova & Øivind Strand & Loet Leydesdorff, 2019. "What Is the Effect of Synergy Provided by International Collaborations on Regional Economies?," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 10(1), pages 18-34, March.
    27. Inga Ivanova & Oivind Strand & Loet Leydesdorff, 2014. "Synergy cycles in the Norwegian innovation system: The relation between synergy and cycle values," Papers 1409.2760, arXiv.org.
    28. Ki-Seok Kwon & Han Woo Park & Minho So & Loet Leydesdorff, 2012. "Has globalization strengthened South Korea’s national research system? National and international dynamics of the Triple Helix of scientific co-authorship relationships in South Korea," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 163-176, January.
    29. Loet Leydesdorff & Ping Zhou, 2014. "Measuring the knowledge-based economy of China in terms of synergy among technological, organizational, and geographic attributes of firms," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1703-1719, March.
    30. Chen, Wei & Song, Hongti, 2024. "National innovation system: Measurement of overall effectiveness and analysis of influencing factors," Technology in Society, Elsevier, vol. 77(C).
    31. Chung Joo Chung & Han Woo Park, 2014. "Mapping Triple Helix innovation in developing and transitional economies: webometrics, scientometrics, and informetrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 1-4, April.
    32. Øivind Strand & Inga Ivanova & Loet Leydesdorff, 2017. "Decomposing the Triple-Helix synergy into the regional innovation systems of Norway: firm data and patent networks," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(3), pages 963-988, May.
    33. Jiří Blažek & Pavel Csank, 2016. "Can emerging regional innovation strategies in less developed European regions bridge the main gaps in the innovation process?," Environment and Planning C, , vol. 34(6), pages 1095-1114, September.
    34. Chen, Shih-Hsin & Lin, Wei-Ting, 2017. "The dynamic role of universities in developing an emerging sector: a case study of the biotechnology sector," Technological Forecasting and Social Change, Elsevier, vol. 123(C), pages 283-297.
    35. Lengyel, Balázs & Iwasaki, Ichiro & Szanyi, Miklós, 2010. "Industry Cluster and Regional Economic Growth : Evidence from Hungary," Hitotsubashi Journal of Economics, Hitotsubashi University, vol. 51(2), pages 93-112, December.
    36. Loet Leydesdorff, 2013. "Statistics for the dynamic analysis of scientometric data: the evolution of the sciences in terms of trajectories and regimes," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(3), pages 731-741, September.
    37. Igors Skute & Kasia Zalewska-Kurek & Isabella Hatak & Petra Weerd-Nederhof, 2019. "Mapping the field: a bibliometric analysis of the literature on university–industry collaborations," The Journal of Technology Transfer, Springer, vol. 44(3), pages 916-947, June.
    38. Porto-Gomez, Igone & Zabala-Iturriagagoitia, Jon Mikel & Leydesdorff, Loet, 2019. "Innovation systems in México: A matter of missing synergies," Technological Forecasting and Social Change, Elsevier, vol. 148(C).

  124. Lutz Bornmann & Loet Leydesdorff, 2011. "Which cities produce more excellent papers than can be expected? A new mapping approach, using Google Maps, based on statistical significance testing," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(10), pages 1954-1962, October.

    Cited by:

    1. Guangyao Zhang & Yuqi Wang & Weixi Xie & Han Du & Chunlin Jiang & Xianwen Wang, 2021. "The open access usage advantage: a temporal and spatial analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 6187-6199, July.
    2. F. Cugnata & G. Perucca & S. Salini, 2017. "Bayesian networks and the assessment of universities' value added," Journal of Applied Statistics, Taylor & Francis Journals, vol. 44(10), pages 1785-1806, July.
    3. Juan A Crespo & Ignacio Ortuño-Ortín & Javier Ruiz-Castillo, 2012. "The Citation Merit of Scientific Publications," PLOS ONE, Public Library of Science, vol. 7(11), pages 1-9, November.
    4. Bornmann, Lutz & Leydesdorff, Loet, 2012. "Which are the best performing regions in information science in terms of highly cited papers? Some improvements of our previous mapping approaches," Journal of Informetrics, Elsevier, vol. 6(2), pages 336-345.
    5. Loet Leydesdorff & Daniele Rotolo & Ismael Rafols, 2012. "Bibliometric perspectives on medical innovation using the medical subject Headings of PubMed," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(11), pages 2239-2253, November.
    6. Bornmann, Lutz & Leydesdorff, Loet & Mutz, Rüdiger, 2013. "The use of percentiles and percentile rank classes in the analysis of bibliometric data: Opportunities and limits," Journal of Informetrics, Elsevier, vol. 7(1), pages 158-165.
    7. Loet Leydesdorff & Duncan Kushnir & Ismael Rafols, 2014. "Interactive overlay maps for US patent (USPTO) data based on International Patent Classification (IPC)," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1583-1599, March.
    8. Abramo, Giovanni & D’Angelo, Ciriaco Andrea, 2015. "Ranking research institutions by the number of highly-cited articles per scientist," Journal of Informetrics, Elsevier, vol. 9(4), pages 915-923.
    9. Csomós, György, 2018. "Reprint of “A spatial scientometric analysis of the publication output of cities worldwide”," Journal of Informetrics, Elsevier, vol. 12(2), pages 547-566.
    10. Rotolo, Daniele & Hicks, Diana & Martin, Ben R., 2015. "What is an emerging technology?," Research Policy, Elsevier, vol. 44(10), pages 1827-1843.
    11. Bornmann, Lutz & Ozimek, Adam, 2012. "Stata commands for importing bibliometric data and processing author address information," Journal of Informetrics, Elsevier, vol. 6(4), pages 505-512.
    12. Bornmann, Lutz & Stefaner, Moritz & de Moya Anegón, Felix & Mutz, Rüdiger, 2014. "What is the effect of country-specific characteristics on the research performance of scientific institutions? Using multi-level statistical models to rank and map universities and research-focused in," Journal of Informetrics, Elsevier, vol. 8(3), pages 581-593.
    13. Abramo, Giovanni & Cicero, Tindaro & D’Angelo, Ciriaco Andrea, 2014. "Are the authors of highly cited articles also the most productive ones?," Journal of Informetrics, Elsevier, vol. 8(1), pages 89-97.
    14. Loet Leydesdorff & Floortje Alkemade & Gaston Heimeriks & Rinke Hoekstra, 2015. "Patents as instruments for exploring innovation dynamics: geographic and technological perspectives on “photovoltaic cells”," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 629-651, January.
    15. Daniele Rotolo & Ismael Rafols & Michael Hopkins & Loet Leydesdorff, 2014. "Scientometric Mapping as a Strategic Intelligence Tool for the Governance of Emerging Technologies," SPRU Working Paper Series 2014-10, SPRU - Science Policy Research Unit, University of Sussex Business School.
    16. Abramo, Giovanni & D’Angelo, Ciriaco Andrea, 2014. "Assessing national strengths and weaknesses in research fields," Journal of Informetrics, Elsevier, vol. 8(3), pages 766-775.
    17. Milica Jovanovic & Veljko Jeremic & Gordana Savic & Milica Bulajic & Milan Martic, 2012. "How does the normalization of data affect the ARWU ranking?," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(2), pages 319-327, November.
    18. Loet Leydesdorff & Lutz Bornmann, 2012. "Mapping (USPTO) patent data using overlays to Google Maps," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(7), pages 1442-1458, July.
    19. Loet Leydesdorff, 2012. "Alternatives to the journal impact factor: I3 and the top-10% (or top-25%?) of the most-highly cited papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(2), pages 355-365, August.
    20. Stefan Hennemann, 2012. "Evaluating the performance of geographical locations within scientific networks using an aggregation—randomization—re-sampling approach (ARR)," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(12), pages 2393-2404, December.
    21. Loet Leydesdorff, 2013. "An evaluation of impacts in “Nanoscience & nanotechnology”: steps towards standards for citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(1), pages 35-55, January.
    22. Abramo, Giovanni & D’Angelo, Ciriaco Andrea, 2020. "A novel methodology to assess the scientific standing of nations at field level," Journal of Informetrics, Elsevier, vol. 14(1).
    23. Abramo, Giovanni & D’Angelo, Ciriaco Andrea, 2015. "A methodology to compute the territorial productivity of scientists: The case of Italy," Journal of Informetrics, Elsevier, vol. 9(4), pages 675-685.
    24. Michel Grossetti & Denis Eckert & Yves Gingras & Laurent Jégou & Vincent Larivière & Béatrice Milard, 2014. "Cities and the geographical deconcentration of scientific activity: A multilevel analysis of publications (1987–2007)," Urban Studies, Urban Studies Journal Limited, vol. 51(10), pages 2219-2234, August.

  125. Leydesdorff, Loet & Welbers, Kasper, 2011. "The semantic mapping of words and co-words in contexts," Journal of Informetrics, Elsevier, vol. 5(3), pages 469-475.

    Cited by:

    1. Patrick Kenekayoro & Kevan Buckley & Mike Thelwall, 2015. "Clustering research group website homepages," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(3), pages 2023-2039, March.
    2. García-Lillo, Francisco & Seva-Larrosa, Pedro & Sánchez-García, Eduardo, 2024. "On the basis of research on ‘green’ in the disciplines of management and business," Journal of Business Research, Elsevier, vol. 172(C).
    3. Fronzetti Colladon, Andrea, 2018. "The Semantic Brand Score," Journal of Business Research, Elsevier, vol. 88(C), pages 150-160.
    4. García-Lillo, Francisco & Seva-Larrosa, Pedro & Sánchez-García, Eduardo, 2023. "What is going on in entrepreneurship research? A bibliometric and SNA analysis," Journal of Business Research, Elsevier, vol. 158(C).
    5. Jinkai Yu & Wenjing Bi, 2019. "Evolution of Marine Environmental Governance Policy in China," Sustainability, MDPI, vol. 11(18), pages 1-14, September.
    6. Hamid Darvish & Yaşar Tonta, 2016. "Diffusion of nanotechnology knowledge in Turkey and its network structure," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(2), pages 569-592, May.
    7. Sejung Park & Jin-A Choi, 2023. "Comparing public responses to apologies: examining crisis communication strategies using network analysis and topic modeling," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(4), pages 3603-3620, August.
    8. Edwards-Schachter,Mónica & Wallace,Matthew, 2015. "âShaken, but not stirredâ: six decades defining social innovation," INGENIO (CSIC-UPV) Working Paper Series 201504, INGENIO (CSIC-UPV).
    9. Hae Ok Choi, 2020. "An Evolutionary Approach to Technology Innovation of Cadastre for Smart Land Management Policy," Land, MDPI, vol. 9(2), pages 1-19, February.
    10. Matteo Lascialfari & Marie-Benoît Magrini & Guillaume Cabanac, 2022. "Unpacking research lock-in through a diachronic analysis of topic cluster trajectories in scholarly publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(11), pages 6165-6189, November.
    11. Laura Serrano & Antonio Sianes & Antonio Ariza-Montes, 2019. "Using Bibliometric Methods to Shed Light on the Concept of Sustainable Tourism," Sustainability, MDPI, vol. 11(24), pages 1-25, December.
    12. Kayser, Victoria, 2017. "Comparing public and scientific discourse in the context of innovation systems," Technological Forecasting and Social Change, Elsevier, vol. 115(C), pages 348-357.
    13. Shuo Xu & Junwan Liu & Dongsheng Zhai & Xin An & Zheng Wang & Hongshen Pang, 2018. "Overlapping thematic structures extraction with mixed-membership stochastic blockmodel," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(1), pages 61-84, October.
    14. Luigi Di Caro & Marco Guerzoni & Massimiliano Nuccio & Giovanni Siragusa, 2017. "A Bimodal Network Approach to Model Topic Dynamics," Papers 1709.09373, arXiv.org.
    15. Yvette Taminiau & Julie Ferguson & Christine Moser, 2016. "Instrumental client relationship development among top-ranking service professionals," The Service Industries Journal, Taylor & Francis Journals, vol. 36(15-16), pages 789-808, December.
    16. Rob Koopman & Shenghui Wang & Andrea Scharnhorst, 2017. "Contextualization of topics: browsing through the universe of bibliographic information," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 1119-1139, May.
    17. Burger, Katharina & White, Leroy & Yearworth, Mike, 2019. "Developing a smart operational research with hybrid practice theories," European Journal of Operational Research, Elsevier, vol. 277(3), pages 1137-1150.
    18. Ekaterina N. Nevzorova & Anna P. Kireenko & Roman A. Sklyarov, 2017. "Bibliometric Analisis of the Literature on Tax Evasion in Russia and Foreign Countries," Journal of Tax Reform, Graduate School of Economics and Management, Ural Federal University, vol. 3(2), pages 115-130.

  126. Loet Leydesdorff & Jung C. Shin, 2011. "How to evaluate universities in terms of their relative citation impacts: Fractional counting of citations and the normalization of differences among disciplines," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(6), pages 1146-1155, June.

    Cited by:

    1. Yin, Zhifeng & Liang, Zheng & Zhi, Qiang, 2018. "Does the concentration of scientific research funding in institutions promote knowledge output?," Journal of Informetrics, Elsevier, vol. 12(4), pages 1146-1159.
    2. Bornmann, Lutz & Haunschild, Robin, 2016. "Normalization of Mendeley reader impact on the reader- and paper-side: A comparison of the mean discipline normalized reader score (MDNRS) with the mean normalized reader score (MNRS) and bare reader ," Journal of Informetrics, Elsevier, vol. 10(3), pages 776-788.
    3. Dorta-González, Pablo & Dorta-González, María Isabel & Santos-Peñate, Dolores Rosa & Suárez-Vega, Rafael, 2014. "Journal topic citation potential and between-field comparisons: The topic normalized impact factor," Journal of Informetrics, Elsevier, vol. 8(2), pages 406-418.
    4. Laura Saraite Sariene & Carmen Caba Pérez & Antonio M López Hernández, 2020. "Expanding the actions of Open Government in higher education sector: From web transparency to Open Science," PLOS ONE, Public Library of Science, vol. 15(9), pages 1-18, September.
    5. Fiorenzo Franceschini & Maurizio Galetto & Domenico Maisano & Luca Mastrogiacomo, 2012. "The success-index: an alternative approach to the h-index for evaluating an individual’s research output," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(3), pages 621-641, September.
    6. Raquel Garde Sánchez & Jesús Mauricio Flórez-Parra & María Victoria López-Pérez & Antonio Manuel López-Hernández, 2020. "Corporate Governance and Disclosure of Information on Corporate Social Responsibility: An Analysis of the Top 200 Universities in the Shanghai Ranking," Sustainability, MDPI, vol. 12(4), pages 1-22, February.
    7. Franceschini, Fiorenzo & Galetto, Maurizio & Maisano, Domenico & Mastrogiacomo, Luca, 2013. "An informetric model for the success-index," Journal of Informetrics, Elsevier, vol. 7(1), pages 109-116.
    8. Raquel Garde Sanchez & Manuel Pedro Rodríguez Bolívar & Antonio Manuel López Hernandez, 2021. "Which Are the Main Factors Influencing Corporate Social Responsibility Information Disclosures on Universities’ Websites," IJERPH, MDPI, vol. 18(2), pages 1-23, January.
    9. Hu, Ya-Han & Tai, Chun-Tien & Liu, Kang Ernest & Cai, Cheng-Fang, 2020. "Identification of highly-cited papers using topic-model-based and bibliometric features: the consideration of keyword popularity," Journal of Informetrics, Elsevier, vol. 14(1).
    10. Bornmann, Lutz & Leydesdorff, Loet, 2012. "Which are the best performing regions in information science in terms of highly cited papers? Some improvements of our previous mapping approaches," Journal of Informetrics, Elsevier, vol. 6(2), pages 336-345.
    11. Alexander Subbotin & Samin Aref, 2021. "Brain drain and brain gain in Russia: Analyzing international migration of researchers by discipline using Scopus bibliometric data 1996–2020," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(9), pages 7875-7900, September.
    12. Mehdi Rhaiem & Nabil Amara, 2020. "Determinants of research efficiency in Canadian business schools: evidence from scholar-level data," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 53-99, October.
    13. Ross W. K. Potter & Martin Szomszor & Jonathan Adams, 2022. "Comparing standard, collaboration and fractional CNCI at the institutional level: Consequences for performance evaluation," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7435-7448, December.
    14. Laura Saraite-Sariene & Juana Alonso-Cañadas & Federico Galán-Valdivieso & Carmen Caba-Pérez, 2019. "Non-Financial Information versus Financial as a Key to the Stakeholder Engagement: A Higher Education Perspective," Sustainability, MDPI, vol. 12(1), pages 1-19, December.
    15. Dakota Murray & Clara Boothby & Huimeng Zhao & Vanessa Minik & Nicolas Bérubé & Vincent Larivière & Cassidy R Sugimoto, 2020. "Exploring the personal and professional factors associated with student evaluations of tenure-track faculty," PLOS ONE, Public Library of Science, vol. 15(6), pages 1-21, June.
    16. Bornmann, Lutz & Marx, Werner, 2018. "Critical rationalism and the search for standard (field-normalized) indicators in bibliometrics," Journal of Informetrics, Elsevier, vol. 12(3), pages 598-604.
    17. Ludo Waltman & Nees Jan Eck, 2013. "Source normalized indicators of citation impact: an overview of different approaches and an empirical comparison," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(3), pages 699-716, September.
    18. Mêgnigbêto, Eustache, 2018. "Modelling the Triple Helix of university-industry-government relationships with game theory: Core, Shapley value and nucleolus as indicators of synergy within an innovation system," Journal of Informetrics, Elsevier, vol. 12(4), pages 1118-1132.
    19. Mingers, John & Leydesdorff, Loet, 2015. "A review of theory and practice in scientometrics," European Journal of Operational Research, Elsevier, vol. 246(1), pages 1-19.
    20. Henk F. Moed, 2016. "Comprehensive indicator comparisons intelligible to non-experts: the case of two SNIP versions," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(1), pages 51-65, January.
    21. Bornmann, Lutz & Haunschild, Robin, 2016. "Citation score normalized by cited references (CSNCR): The introduction of a new citation impact indicator," Journal of Informetrics, Elsevier, vol. 10(3), pages 875-887.
    22. Feiheng Luo & Aixin Sun & Mojisola Erdt & Aravind Sesagiri Raamkumar & Yin-Leng Theng, 2018. "Exploring prestigious citations sourced from top universities in bibliometrics and altmetrics: a case study in the computer science discipline," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(1), pages 1-17, January.
    23. Dorta-González, P. & Dorta-González, M.I., 2013. "Impact maturity times and citation time windows: The 2-year maximum journal impact factor," Journal of Informetrics, Elsevier, vol. 7(3), pages 593-602.
    24. Mutz, Rüdiger & Daniel, Hans-Dieter, 2012. "Skewed citation distributions and bias factors: Solutions to two core problems with the journal impact factor," Journal of Informetrics, Elsevier, vol. 6(2), pages 169-176.
    25. Giovanni Abramo & Corrado Costa & Ciriaco Andrea D’Angelo, 2015. "A multivariate stochastic model to assess research performance," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1755-1772, February.
    26. Franceschini, Fiorenzo & Maisano, Domenico, 2014. "Sub-field normalization of the IEEE scientific journals based on their connection with Technical Societies," Journal of Informetrics, Elsevier, vol. 8(3), pages 508-533.
    27. Bornmann, Lutz & Marx, Werner, 2015. "Methods for the generation of normalized citation impact scores in bibliometrics: Which method best reflects the judgements of experts?," Journal of Informetrics, Elsevier, vol. 9(2), pages 408-418.
    28. Tom Z. J. Fu & Qianqian Song & Dah Ming Chiu, 2014. "The academic social network," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 203-239, October.
    29. Cristiano Varin & Manuela Cattelan & David Firth, 2016. "Statistical modelling of citation exchange between statistics journals," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 179(1), pages 1-63, January.
    30. Radicchi, Filippo & Castellano, Claudio, 2012. "Testing the fairness of citation indicators for comparison across scientific domains: The case of fractional citation counts," Journal of Informetrics, Elsevier, vol. 6(1), pages 121-130.
    31. Loet Leydesdorff & Ping Zhou & Lutz Bornmann, 2013. "How can journal impact factors be normalized across fields of science? An assessment in terms of percentile ranks and fractional counts," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(1), pages 96-107, January.
    32. Shengbo Liu & Xiaoting Luo & Miaomiao Liu, 2023. "Was Chinese “Double-First Class” Construction Policy Influential? Analysis Using Propensity Score Matching," Sustainability, MDPI, vol. 15(8), pages 1-13, April.
    33. Alberto Pepe & Michael J Kurtz, 2012. "A Measure of Total Research Impact Independent of Time and Discipline," PLOS ONE, Public Library of Science, vol. 7(11), pages 1-7, November.
    34. Du Jian & Tang Xiaoli, 2013. "Perceptions of author order versus contribution among researchers with different professional ranks and the potential of harmonic counts for encouraging ethical co-authorship practices," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(1), pages 277-295, July.
    35. Kyle Siler & Vincent Larivière & Cassidy R. Sugimoto, 2020. "The diverse niches of megajournals: Specialism within generalism," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 71(7), pages 800-816, July.
    36. Milica Jovanovic & Veljko Jeremic & Gordana Savic & Milica Bulajic & Milan Martic, 2012. "How does the normalization of data affect the ARWU ranking?," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(2), pages 319-327, November.
    37. Amara, Nabil & Rhaiem, Mehdi & Halilem, Norrin, 2020. "Assessing the research efficiency of Canadian scholars in the management field: Evidence from the DEA and fsQCA," Journal of Business Research, Elsevier, vol. 115(C), pages 296-306.
    38. Maxim Kotsemir & Sergey Shashnov, 2017. "Measuring, analysis and visualization of research capacity of university at the level of departments and staff members," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1659-1689, September.
    39. Pablo Dorta-González & María Isabel Dorta-González & Rafael Suárez-Vega, 2015. "An approach to the author citation potential: measures of scientific performance which are invariant across scientific fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1467-1496, February.
    40. Waltman, Ludo & van Eck, Nees Jan & van Leeuwen, Thed N. & Visser, Martijn S., 2013. "Some modifications to the SNIP journal impact indicator," Journal of Informetrics, Elsevier, vol. 7(2), pages 272-285.
    41. Wolfgang G. Stock & Isabelle Dorsch & Gerhard Reichmann & Christian Schlögl, 2023. "Labor productivity, labor impact, and co-authorship of research institutions: publications and citations per full-time equivalents," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(1), pages 363-377, January.
    42. Waltman, Ludo, 2016. "A review of the literature on citation impact indicators," Journal of Informetrics, Elsevier, vol. 10(2), pages 365-391.
    43. Aksnes, Dag W. & Schneider, Jesper W. & Gunnarsson, Magnus, 2012. "Ranking national research systems by citation indicators. A comparative analysis using whole and fractionalised counting methods," Journal of Informetrics, Elsevier, vol. 6(1), pages 36-43.
    44. Waltman, Ludo & van Eck, Nees Jan, 2013. "A systematic empirical comparison of different approaches for normalizing citation impact indicators," Journal of Informetrics, Elsevier, vol. 7(4), pages 833-849.
    45. Ludo Waltman & Erjia Yan & Nees Jan Eck, 2011. "A recursive field-normalized bibliometric performance indicator: an application to the field of library and information science," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(1), pages 301-314, October.
    46. Chaomei Chen, 2018. "Eugene Garfield’s scholarly impact: a scientometric review," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(2), pages 489-516, February.
    47. Lutz Bornmann & Werner Marx & Andreas Barth, 2013. "The Normalization of Citation Counts Based on Classification Systems," Publications, MDPI, vol. 1(2), pages 1-9, August.
    48. Hans P. W. Bauer & Gabriel Schui & Alexander Eye & Günter Krampen, 2013. "How does scientific success relate to individual and organizational characteristics? A scientometric study of psychology researchers in the German-speaking countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(2), pages 523-539, February.
    49. Giovanni Abramo & Ciriaco Andrea D’Angelo, 2014. "How do you define and measure research productivity?," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1129-1144, November.
    50. Cristian Colliander & Per Ahlgren, 2019. "Comparison of publication-level approaches to ex-post citation normalization," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(1), pages 283-300, July.
    51. Jochen Gläser & Wolfgang Glänzel & Andrea Scharnhorst, 2017. "Same data—different results? Towards a comparative approach to the identification of thematic structures in science," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 981-998, May.
    52. M. Zitt, 2011. "Behind citing-side normalization of citations: some properties of the journal impact factor," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(1), pages 329-344, October.
    53. Loet Leydesdorff, 2013. "An evaluation of impacts in “Nanoscience & nanotechnology”: steps towards standards for citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(1), pages 35-55, January.
    54. Anthony F. J. Raan, 2021. "Laudation on the occasion of the presentation of the Derek de Solla Price Award 2021 to Prof. Ludo Waltman at the ISSI conference, Leuven, 2021," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(10), pages 8235-8238, October.
    55. P. Dorta-González & M. I. Dorta-González, 2013. "Comparing journals from different fields of science and social science through a JCR subject categories normalized impact factor," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(2), pages 645-672, May.
    56. Tolga Yuret, 2018. "Author-weighted impact factor and reference return ratio: can we attain more equality among fields?," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(3), pages 2097-2111, September.
    57. Liwei Cai & Jiahao Tian & Jiaying Liu & Xiaomei Bai & Ivan Lee & Xiangjie Kong & Feng Xia, 2019. "Scholarly impact assessment: a survey of citation weighting solutions," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(2), pages 453-478, February.
    58. Ahlgren, Per & Waltman, Ludo, 2014. "The correlation between citation-based and expert-based assessments of publication channels: SNIP and SJR vs. Norwegian quality assessments," Journal of Informetrics, Elsevier, vol. 8(4), pages 985-996.
    59. Rüdiger Mutz & Hans-Dieter Daniel, 2012. "The generalized propensity score methodology for estimating unbiased journal impact factors," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(2), pages 377-390, August.
    60. Nabil Amara & Réjean Landry & Norrin Halilem, 2015. "What can university administrators do to increase the publication and citation scores of their faculty members?," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(2), pages 489-530, May.
    61. Han Woo Park & Jungwon Yoon & Loet Leydesdorff, 2016. "The normalization of co-authorship networks in the bibliometric evaluation: the government stimulation programs of China and Korea," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 1017-1036, November.
    62. Denis Bouyssou & Thierry Marchant, 2016. "Ranking authors using fractional counting of citations: An axiomatic approach," Post-Print hal-01397699, HAL.
    63. Pilar Valderrama & Manuel Escabias & Evaristo Jiménez-Contreras & Alberto Rodríguez-Archilla & Mariano J. Valderrama, 2018. "Proposal of a stochastic model to determine the bibliometric variables influencing the quality of a journal: application to the field of Dentistry," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(2), pages 1087-1095, May.

  127. Tobias Opthof & Loet Leydesdorff, 2011. "A comment to the paper by Waltman et al., Scientometrics, 87, 467–481, 2011," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(3), pages 1011-1016, September.

    Cited by:

    1. Muzammil Tahira & Rose Alinda Alias & Aryati Bakri, 2013. "Scientometric assessment of engineering in Malaysians universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(3), pages 865-879, September.
    2. Takanori Ida & Naomi Fukuzawa, 2013. "Effects of large-scale research funding programs: a Japanese case study," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(3), pages 1253-1273, March.
    3. Wu, Jiang, 2013. "Investigating the universal distributions of normalized indicators and developing field-independent index," Journal of Informetrics, Elsevier, vol. 7(1), pages 63-71.
    4. Gangan Prathap, 2012. "A comment to the papers by Opthof and Leydesdorff, Scientometrics, 88, 1011–1016, 2011 and Waltman et al., Scientometrics, 88, 1017–1022, 2011," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(2), pages 737-743, February.
    5. Gangan Prathap, 2012. "Energy indicators and percentile ranking normalization," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(3), pages 997-1003, June.
    6. Santos-Rojo, Cristina & Llopis-Amorós, Malar & García-García, Juan Manuel, 2023. "Overtourism and sustainability: A bibliometric study (2018–2021)," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    7. Daisuke Sakai, 2019. "Who is peer reviewed? Comparing publication patterns of peer-reviewed and non-peer-reviewed papers in Japanese political science," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(1), pages 65-80, October.
    8. Ehsan Mohammadi & Mike Thelwall, 2013. "Assessing non-standard article impact using F1000 labels," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(2), pages 383-395, November.
    9. Jun-Ying Fu & Xu Zhang & Yun-Hua Zhao & He-Feng Tong & Dar-Zen Chen & Mu-Hsuan Huang, 2012. "Scientific production and citation impact: a bibliometric analysis in acupuncture over three decades," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(3), pages 1061-1079, December.
    10. Ludo Waltman & Nees Jan Eck & Thed N. Leeuwen & Martijn S. Visser & Anthony F. J. Raan, 2011. "On the correlation between bibliometric indicators and peer review: reply to Opthof and Leydesdorff," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(3), pages 1017-1022, September.
    11. Adriana Bin & Sergio Salles-Filho & Luiza Maria Capanema & Fernando Antonio Basile Colugnati, 2015. "What difference does it make? Impact of peer-reviewed scholarships on scientific production," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1167-1188, February.
    12. Loet Leydesdorff & Tobias Opthof, 2012. "A rejoinder on energy versus impact indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(2), pages 745-748, February.

  128. Loet Leydesdorff & Tobias Opthof, 2011. "Scopus' SNIP indicator: Reply to Moed," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(1), pages 214-215, January.

    Cited by:

    1. Lehmann, Robert & Wohlrabe, Klaus, 2017. "Who is the 'Journal Grand Master'? A new ranking based on the Elo rating system," MPRA Paper 77363, University Library of Munich, Germany.
    2. Waltman, Ludo & van Eck, Nees Jan & van Leeuwen, Thed N. & Visser, Martijn S., 2013. "Some modifications to the SNIP journal impact indicator," Journal of Informetrics, Elsevier, vol. 7(2), pages 272-285.
    3. Loet Leydesdorff & Paul Wouters & Lutz Bornmann, 2016. "Professional and citizen bibliometrics: complementarities and ambivalences in the development and use of indicators—a state-of-the-art report," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 2129-2150, December.
    4. Bornmann, Lutz & Leydesdorff, Loet & Walch-Solimena, Christiane & Ettl, Christoph, 2011. "Mapping excellence in the geography of science: An approach based on Scopus data," Journal of Informetrics, Elsevier, vol. 5(4), pages 537-546.
    5. Denis Bouyssou & Thierry Marchant, 2016. "Ranking authors using fractional counting of citations: An axiomatic approach," Post-Print hal-01397699, HAL.

  129. Loet Leydesdorff & Lutz Bornmann, 2011. "Integrated impact indicators compared with impact factors: An alternative research design with policy implications," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(11), pages 2133-2146, November.

    Cited by:

    1. Tian-Yuan Huang & Liying Yang, 2022. "Superior identification index: Quantifying the capability of academic journals to recognize good research," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(7), pages 4023-4043, July.
    2. Vinkler, Péter, 2014. "The use of the Percentage Rank Position index for comparative evaluation of journals," Journal of Informetrics, Elsevier, vol. 8(2), pages 340-348.
    3. Kaur, Jasleen & Radicchi, Filippo & Menczer, Filippo, 2013. "Universality of scholarly impact metrics," Journal of Informetrics, Elsevier, vol. 7(4), pages 924-932.
    4. David A. Pendlebury & Jonathan Adams, 2012. "Comments on a critique of the Thomson Reuters journal impact factor," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(2), pages 395-401, August.
    5. Juan A Crespo & Ignacio Ortuño-Ortín & Javier Ruiz-Castillo, 2012. "The Citation Merit of Scientific Publications," PLOS ONE, Public Library of Science, vol. 7(11), pages 1-9, November.
    6. Gangan Prathap, 2018. "Eugene Garfield: from the metrics of science to the science of metrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(2), pages 637-650, February.
    7. Schreiber, Michael, 2014. "How to improve the outcome of performance evaluations in terms of percentiles for citation frequencies of my papers," Journal of Informetrics, Elsevier, vol. 8(4), pages 873-879.
    8. George A. Lozano & Vincent Larivière & Yves Gingras, 2012. "The weakening relationship between the impact factor and papers' citations in the digital age," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(11), pages 2140-2145, November.
    9. Fiorenzo Franceschini & Maurizio Galetto & Domenico Maisano & Luca Mastrogiacomo, 2012. "The success-index: an alternative approach to the h-index for evaluating an individual’s research output," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(3), pages 621-641, September.
    10. Ulrich Schmoch, 2020. "Mean values of skewed distributions in the bibliometric assessment of research units," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 925-935, November.
    11. Rafols, Ismael & Leydesdorff, Loet & O’Hare, Alice & Nightingale, Paul & Stirling, Andy, 2012. "How journal rankings can suppress interdisciplinary research: A comparison between Innovation Studies and Business & Management," Research Policy, Elsevier, vol. 41(7), pages 1262-1282.
    12. Bornmann, Lutz & Leydesdorff, Loet, 2012. "Which are the best performing regions in information science in terms of highly cited papers? Some improvements of our previous mapping approaches," Journal of Informetrics, Elsevier, vol. 6(2), pages 336-345.
    13. Loet Leydesdorff & Daniele Rotolo & Ismael Rafols, 2012. "Bibliometric perspectives on medical innovation using the medical subject Headings of PubMed," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(11), pages 2239-2253, November.
    14. Kuan, Chung-Huei & Huang, Mu-Hsuan & Chen, Dar-Zen, 2013. "Cross-field evaluation of publications of research institutes using their contributions to the fields’ MVPs determined by h-index," Journal of Informetrics, Elsevier, vol. 7(2), pages 455-468.
    15. Peter Klimek & Aleksandar Jovanovic & Rainer Egloff & Reto Schneider, 2016. "Successful fish go with the flow: citation impact prediction based on centrality measures for term–document networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(3), pages 1265-1282, June.
    16. Albarrán, Pedro, 2012. "The measurement of scientific excellence around the world," UC3M Working papers. Economics we1208, Universidad Carlos III de Madrid. Departamento de Economía.
    17. Ludo Waltman & Michael Schreiber, 2013. "On the calculation of percentile-based bibliometric indicators," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(2), pages 372-379, February.
    18. Brito, Ricardo & Rodríguez-Navarro, Alonso, 2018. "Research assessment by percentile-based double rank analysis," Journal of Informetrics, Elsevier, vol. 12(1), pages 315-329.
    19. Guan, Jiancheng & Yan, Yan & Zhang, Jing Jing, 2017. "The impact of collaboration and knowledge networks on citations," Journal of Informetrics, Elsevier, vol. 11(2), pages 407-422.
    20. Mu-Hsuan Huang & Dar-Zen Chen & Danqi Shen & Mona S. Wang & Fred Y. Ye, 2015. "Measuring technological performance of assignees using trace metrics in three fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(1), pages 61-86, July.
    21. Wang, Xing & Zhang, Zhihui, 2020. "Improving the reliability of short-term citation impact indicators by taking into account the correlation between short- and long-term citation impact," Journal of Informetrics, Elsevier, vol. 14(2).
    22. Zheng Xie & Yanwu Li & Zhemin Li, 2020. "Assessing and predicting the quality of research master’s theses: an application of scientometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 953-972, August.
    23. Lutz Bornmann & Alexander Tekles & Loet Leydesdorff, 2019. "How well does I3 perform for impact measurement compared to other bibliometric indicators? The convergent validity of several (field-normalized) indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 1187-1205, May.
    24. Рубинштейн Александр Яковлевич, "undated". "Ранжирование Российских Экономических Журналов: Научный Метод Или «Игра В Цыфирь»? [Ran Ranking of Russian Economic Journals: The Scientific Method or “Numbers Game”?]," Working papers a:pru175:ye:2016:1, Institute of Economics.
    25. Mingers, John & Leydesdorff, Loet, 2015. "A review of theory and practice in scientometrics," European Journal of Operational Research, Elsevier, vol. 246(1), pages 1-19.
    26. Albarrán, Pedro & Perianes-Rodríguez, Antonio, 2013. "Differences in citation impact across countries," UC3M Working papers. Economics we1229, Universidad Carlos III de Madrid. Departamento de Economía.
    27. Zhesi Shen & Liying Yang & Zengru Di & Jinshan Wu, 2019. "Large enough sample size to rank two groups of data reliably according to their means," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(2), pages 653-671, February.
    28. Caroline S. Wagner & Lin Zhang & Loet Leydesdorff, 2022. "A discussion of measuring the top-1% most-highly cited publications: quality and impact of Chinese papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(4), pages 1825-1839, April.
    29. Jingda Ding & Chao Liu & Goodluck Asobenie Kandonga, 2020. "Exploring the limitations of the h-index and h-type indexes in measuring the research performance of authors," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(3), pages 1303-1322, March.
    30. Tian Yu & Guang Yu & Peng-Yu Li & Liang Wang, 2014. "Citation impact prediction for scientific papers using stepwise regression analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1233-1252, November.
    31. Gangan Prathap, 2012. "Evaluating journal performance metrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(2), pages 403-408, August.
    32. Mutz, Rüdiger & Daniel, Hans-Dieter, 2012. "Skewed citation distributions and bias factors: Solutions to two core problems with the journal impact factor," Journal of Informetrics, Elsevier, vol. 6(2), pages 169-176.
    33. Abatemarco, Antonio & Dell'Anno, Roberto, 2011. "Certainty equivalent citation: a generalized class of citation indexes," MPRA Paper 36367, University Library of Munich, Germany.
    34. Albarrán, Pedro & Herrero, Carmen & Ruiz-Castillo, Javier & Villar, Antonio, 2017. "The Herrero-Villar approach to citation impact," Journal of Informetrics, Elsevier, vol. 11(2), pages 625-640.
    35. Franceschini, Fiorenzo & Maisano, Domenico, 2014. "Sub-field normalization of the IEEE scientific journals based on their connection with Technical Societies," Journal of Informetrics, Elsevier, vol. 8(3), pages 508-533.
    36. Gangan Prathap, 2017. "A three-dimensional bibliometric evaluation of recent research in India," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(3), pages 1085-1097, March.
    37. Zhou, Ping & Zhong, Yongfeng, 2012. "The citation-based indicator and combined impact indicator—New options for measuring impact," Journal of Informetrics, Elsevier, vol. 6(4), pages 631-638.
    38. Wolfgang Glänzel & Henk F. Moed, 2013. "Opinion paper: thoughts and facts on bibliometric indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(1), pages 381-394, July.
    39. Bornmann, Lutz & Leydesdorff, Loet & Wang, Jian, 2013. "Which percentile-based approach should be preferred for calculating normalized citation impact values? An empirical comparison of five approaches including a newly developed citation-rank approach (P1," Journal of Informetrics, Elsevier, vol. 7(4), pages 933-944.
    40. Yves Fassin, 2020. "The HF-rating as a universal complement to the h-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 965-990, November.
    41. Gangan Prathap, 2012. "Energy indicators and percentile ranking normalization," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(3), pages 997-1003, June.
    42. J. A. García & Rosa Rodriguez-Sánchez & J. Fdez-Valdivia & Nicolas Robinson-García & Daniel Torres-Salinas, 2014. "Best-in-class and strategic benchmarking of scientific subject categories of Web of Science in 2010," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(3), pages 615-630, June.
    43. Chen, Dar-zen & Huang, Mu-hsuan & Ye, Fred Y., 2013. "A probe into dynamic measures for h-core and h-tail," Journal of Informetrics, Elsevier, vol. 7(1), pages 129-137.
    44. Fang Xu & Wenbin Liu & Ronald Rousseau, 2015. "Introducing sub-impact factor (SIF-) sequences and an aggregated SIF-indicator for journal ranking," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1577-1593, February.
    45. Loet Leydesdorff & Lutz Bornmann, 2012. "Mapping (USPTO) patent data using overlays to Google Maps," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(7), pages 1442-1458, July.
    46. Gangan Prathap, 2013. "Second order indicators for evaluating international scientific collaboration," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(2), pages 563-570, May.
    47. Waltman, Ludo, 2016. "A review of the literature on citation impact indicators," Journal of Informetrics, Elsevier, vol. 10(2), pages 365-391.
    48. Mingers, John & Yang, Liying, 2017. "Evaluating journal quality: A review of journal citation indicators and ranking in business and management," European Journal of Operational Research, Elsevier, vol. 257(1), pages 323-337.
    49. Schreiber, Michael, 2014. "Is the new citation-rank approach P100′ in bibliometrics really new?," Journal of Informetrics, Elsevier, vol. 8(4), pages 997-1004.
    50. Gangan Prathap, 2014. "A three-dimensional bibliometric evaluation of research in polymer solar cells," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 889-898, October.
    51. Xiaojun Hu & Ronald Rousseau & Jin Chen, 2012. "Structural indicators in citation networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(2), pages 451-460, May.
    52. Ashraf Uddin & Jaideep Bhoosreddy & Marisha Tiwari & Vivek Kumar Singh, 2016. "A Sciento-text framework to characterize research strength of institutions at fine-grained thematic area level," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(3), pages 1135-1150, March.
    53. Ping Zhou & Yongfeng Zhong & Meigen Yu, 2013. "A bibliometric investigation on China–UK collaboration in food and agriculture," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(2), pages 267-285, November.
    54. Liping Yu & Houqiang Yu, 2016. "Does the average JIF percentile make a difference?," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 1979-1987, December.
    55. Loet Leydesdorff, 2012. "Alternatives to the journal impact factor: I3 and the top-10% (or top-25%?) of the most-highly cited papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(2), pages 355-365, August.
    56. Aleskerov, F. & Badgaeva, D. & Pislyakov, V. & Sterligov, I. & Shvydun, S., 2016. "An Importance of Russian and International Economic Journals: a Network Approach," Journal of the New Economic Association, New Economic Association, vol. 30(2), pages 193-205.
    57. Leydesdorff, Loet & Rafols, Ismael, 2012. "Interactive overlays: A new method for generating global journal maps from Web-of-Science data," Journal of Informetrics, Elsevier, vol. 6(2), pages 318-332.
    58. Loet Leydesdorff & Paul Wouters & Lutz Bornmann, 2016. "Professional and citizen bibliometrics: complementarities and ambivalences in the development and use of indicators—a state-of-the-art report," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 2129-2150, December.
    59. Lutz Bornmann & Robin Haunschild, 2016. "How to normalize Twitter counts? A first attempt based on journals in the Twitter Index," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(3), pages 1405-1422, June.
    60. Antonoyiannakis, Manolis, 2018. "Impact Factors and the Central Limit Theorem: Why citation averages are scale dependent," Journal of Informetrics, Elsevier, vol. 12(4), pages 1072-1088.
    61. Lutz Bornmann & Richard Williams, 2020. "An evaluation of percentile measures of citation impact, and a proposal for making them better," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1457-1478, August.
    62. Gangan Prathap, 2012. "The quality-quantity-quasity and energy-exergy-entropy exegesis of expected value calculation of citation performance," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(1), pages 269-275, April.
    63. Loet Leydesdorff & Lutz Bornmann & Jonathan Adams, 2019. "The integrated impact indicator revisited (I3*): a non-parametric alternative to the journal impact factor," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(3), pages 1669-1694, June.
    64. Michael Schreiber, 2013. "How much do different ways of calculating percentiles influence the derived performance indicators? A case study," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(3), pages 821-829, December.
    65. Ronald Rousseau, 2012. "Updating the journal impact factor or total overhaul?," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(2), pages 413-417, August.
    66. Yi-Ching Liaw & Te-Yi Chan & Chin-Yuan Fan & Cheng-Hsin Chiang, 2014. "Can the technological impact of academic journals be evaluated? The practice of non-patent reference (NPR) analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 17-37, October.
    67. Rousseau, Ronald & Xu, Fang & Liu, Wenbin, 2015. "Interpolated sub-impact factor (SIF) sequences for journal rankings," Journal of Informetrics, Elsevier, vol. 9(4), pages 907-914.

  130. Loet Leydesdorff & Lutz Bornmann & Rüdiger Mutz & Tobias Opthof, 2011. "Turning the tables on citation analysis one more time: Principles for comparing sets of documents," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(7), pages 1370-1381, July.

    Cited by:

    1. P. Nishy & Yatish Panwar & Suresh Prasad & G. K. Mandal & Gangan Prathap, 2012. "An impact-citations-exergy (iCX) trajectory analysis of leading research institutions in India," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(1), pages 245-251, April.
    2. Ploypailin Kijkasiwat & Hamza Almustafa & Pongsutti Phuensane, 2023. "Initial coin offerings for business: a systematic literature review and bibliometric analysis," SN Business & Economics, Springer, vol. 3(1), pages 1-31, January.
    3. Perme, Maja Pohar & Stare, Janez & Žaucer, Rok & Žaucer, Matjaž, 2012. "Comparison of the citation distribution and h-index between groups of different sizes," Journal of Informetrics, Elsevier, vol. 6(4), pages 712-720.
    4. Schneider, Jesper W., 2013. "Caveats for using statistical significance tests in research assessments," Journal of Informetrics, Elsevier, vol. 7(1), pages 50-62.
    5. Juan A Crespo & Ignacio Ortuño-Ortín & Javier Ruiz-Castillo, 2012. "The Citation Merit of Scientific Publications," PLOS ONE, Public Library of Science, vol. 7(11), pages 1-9, November.
    6. Waltman, Ludo & van Eck, Nees Jan & Wouters, Paul, 2013. "Counting publications and citations: Is more always better?," Journal of Informetrics, Elsevier, vol. 7(3), pages 635-641.
    7. Schreiber, Michael, 2014. "How to improve the outcome of performance evaluations in terms of percentiles for citation frequencies of my papers," Journal of Informetrics, Elsevier, vol. 8(4), pages 873-879.
    8. Bornmann, Lutz & Leydesdorff, Loet, 2017. "Skewness of citation impact data and covariates of citation distributions: A large-scale empirical analysis based on Web of Science data," Journal of Informetrics, Elsevier, vol. 11(1), pages 164-175.
    9. Dunaiski, Marcel & Geldenhuys, Jaco & Visser, Willem, 2019. "On the interplay between normalisation, bias, and performance of paper impact metrics," Journal of Informetrics, Elsevier, vol. 13(1), pages 270-290.
    10. Chris W. Belter, 2013. "A bibliometric analysis of NOAA’s Office of Ocean Exploration and Research," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(2), pages 629-644, May.
    11. Dunaiski, Marcel & Geldenhuys, Jaco & Visser, Willem, 2018. "Author ranking evaluation at scale," Journal of Informetrics, Elsevier, vol. 12(3), pages 679-702.
    12. Schreiber, Michael, 2013. "A case study of the arbitrariness of the h-index and the highly-cited-publications indicator," Journal of Informetrics, Elsevier, vol. 7(2), pages 379-387.
    13. Bart Thijs & Koenraad Debackere & Wolfgang Glänzel, 2017. "Improved author profiling through the use of citation classes," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 829-839, May.
    14. Albarrán, Pedro, 2012. "The measurement of scientific excellence around the world," UC3M Working papers. Economics we1208, Universidad Carlos III de Madrid. Departamento de Economía.
    15. Ludo Waltman & Michael Schreiber, 2013. "On the calculation of percentile-based bibliometric indicators," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(2), pages 372-379, February.
    16. Brito, Ricardo & Rodríguez-Navarro, Alonso, 2018. "Research assessment by percentile-based double rank analysis," Journal of Informetrics, Elsevier, vol. 12(1), pages 315-329.
    17. Bornmann, Lutz & Leydesdorff, Loet & Mutz, Rüdiger, 2013. "The use of percentiles and percentile rank classes in the analysis of bibliometric data: Opportunities and limits," Journal of Informetrics, Elsevier, vol. 7(1), pages 158-165.
    18. Mike Thelwall & Paul Wilson, 2016. "Does research with statistics have more impact? The citation rank advantage of structural equation modeling," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(5), pages 1233-1244, May.
    19. Loet Leydesdorff & Lutz Bornmann & Tobias Opthof, 2019. "hα: the scientist as chimpanzee or bonobo," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 1163-1166, March.
    20. Lutz Bornmann & Alexander Tekles & Loet Leydesdorff, 2019. "How well does I3 perform for impact measurement compared to other bibliometric indicators? The convergent validity of several (field-normalized) indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 1187-1205, May.
    21. Wolfgang Glänzel, 2013. "High-end performance or outlier? Evaluating the tail of scientometric distributions," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(1), pages 13-23, October.
    22. Brito, Ricardo & Navarro, Alonso Rodríguez, 2021. "The inconsistency of h-index: A mathematical analysis," Journal of Informetrics, Elsevier, vol. 15(1).
    23. Mingers, John & Leydesdorff, Loet, 2015. "A review of theory and practice in scientometrics," European Journal of Operational Research, Elsevier, vol. 246(1), pages 1-19.
    24. Antonio Protic & Biserka Runje & Josip Stepanic, 2013. "Distribution of Citations in one Volume of a Journal," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 11(2), pages 227-237.
    25. Albarrán, Pedro & Perianes-Rodríguez, Antonio, 2013. "Differences in citation impact across countries," UC3M Working papers. Economics we1229, Universidad Carlos III de Madrid. Departamento de Economía.
    26. Xu, Shuqi & Mariani, Manuel Sebastian & Lü, Linyuan & Medo, Matúš, 2020. "Unbiased evaluation of ranking metrics reveals consistent performance in science and technology citation data," Journal of Informetrics, Elsevier, vol. 14(1).
    27. Lutz Bornmann & Werner Marx, 2014. "How to evaluate individual researchers working in the natural and life sciences meaningfully? A proposal of methods based on percentiles of citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(1), pages 487-509, January.
    28. Jerome K. Vanclay & Lutz Bornmann, 2012. "Metrics to evaluate research performance in academic institutions: a critique of ERA 2010 as applied in forestry and the indirect H2 index as a possible alternative," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(3), pages 751-771, June.
    29. Abatemarco, Antonio & Dell'Anno, Roberto, 2011. "Certainty equivalent citation: a generalized class of citation indexes," MPRA Paper 36367, University Library of Munich, Germany.
    30. Albarrán, Pedro & Herrero, Carmen & Ruiz-Castillo, Javier & Villar, Antonio, 2017. "The Herrero-Villar approach to citation impact," Journal of Informetrics, Elsevier, vol. 11(2), pages 625-640.
    31. Alberto Martín-Martín & Enrique Orduna-Malea & Emilio Delgado López-Cózar, 2018. "Coverage of highly-cited documents in Google Scholar, Web of Science, and Scopus: a multidisciplinary comparison," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(3), pages 2175-2188, September.
    32. Zhou, Ping & Zhong, Yongfeng, 2012. "The citation-based indicator and combined impact indicator—New options for measuring impact," Journal of Informetrics, Elsevier, vol. 6(4), pages 631-638.
    33. Wolfgang Glänzel & Henk F. Moed, 2013. "Opinion paper: thoughts and facts on bibliometric indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(1), pages 381-394, July.
    34. Bornmann, Lutz & Leydesdorff, Loet & Wang, Jian, 2013. "Which percentile-based approach should be preferred for calculating normalized citation impact values? An empirical comparison of five approaches including a newly developed citation-rank approach (P1," Journal of Informetrics, Elsevier, vol. 7(4), pages 933-944.
    35. Radicchi, Filippo & Castellano, Claudio, 2012. "Testing the fairness of citation indicators for comparison across scientific domains: The case of fractional citation counts," Journal of Informetrics, Elsevier, vol. 6(1), pages 121-130.
    36. Loet Leydesdorff & Ping Zhou & Lutz Bornmann, 2013. "How can journal impact factors be normalized across fields of science? An assessment in terms of percentile ranks and fractional counts," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(1), pages 96-107, January.
    37. Yves Fassin, 2020. "The HF-rating as a universal complement to the h-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 965-990, November.
    38. Gangan Prathap, 2012. "Energy indicators and percentile ranking normalization," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(3), pages 997-1003, June.
    39. Bornmann, Lutz & Marx, Werner, 2013. "The proposal of a broadening of perspective in evaluative bibliometrics by complementing the times cited with a cited reference analysis," Journal of Informetrics, Elsevier, vol. 7(1), pages 84-88.
    40. Loet Leydesdorff & Lutz Bornmann, 2012. "Mapping (USPTO) patent data using overlays to Google Maps," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(7), pages 1442-1458, July.
    41. Potter, Ross W.K. & Szomszor, Martin & Adams, Jonathan, 2020. "Interpreting CNCIs on a country-scale: The effect of domestic and international collaboration type," Journal of Informetrics, Elsevier, vol. 14(4).
    42. Waltman, Ludo, 2016. "A review of the literature on citation impact indicators," Journal of Informetrics, Elsevier, vol. 10(2), pages 365-391.
    43. Andrea Bonaccorsi & Tindaro Cicero & Peter Haddawy & Saeed-UL Hassan, 2017. "Explaining the transatlantic gap in research excellence," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(1), pages 217-241, January.
    44. Lutz Bornmann & Loet Leydesdorff, 2018. "Count highly-cited papers instead of papers with h citations: use normalized citation counts and compare “like with like”!," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(2), pages 1119-1123, May.
    45. Mingers, John & Yang, Liying, 2017. "Evaluating journal quality: A review of journal citation indicators and ranking in business and management," European Journal of Operational Research, Elsevier, vol. 257(1), pages 323-337.
    46. Schreiber, Michael, 2014. "Is the new citation-rank approach P100′ in bibliometrics really new?," Journal of Informetrics, Elsevier, vol. 8(4), pages 997-1004.
    47. T. S. Evans & N. Hopkins & B. S. Kaube, 2012. "Universality of performance indicators based on citation and reference counts," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(2), pages 473-495, November.
    48. Waltman, Ludo & van Eck, Nees Jan, 2013. "A systematic empirical comparison of different approaches for normalizing citation impact indicators," Journal of Informetrics, Elsevier, vol. 7(4), pages 833-849.
    49. Ashraf Uddin & Jaideep Bhoosreddy & Marisha Tiwari & Vivek Kumar Singh, 2016. "A Sciento-text framework to characterize research strength of institutions at fine-grained thematic area level," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(3), pages 1135-1150, March.
    50. Lutz Bornmann & Werner Marx & Andreas Barth, 2013. "The Normalization of Citation Counts Based on Classification Systems," Publications, MDPI, vol. 1(2), pages 1-9, August.
    51. Wolfgang Glänzel & Bart Thijs & Koenraad Debackere, 2014. "The application of citation-based performance classes to the disciplinary and multidisciplinary assessment in national comparison and institutional research assessment," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 939-952, November.
    52. Dunaiski, Marcel & Geldenhuys, Jaco & Visser, Willem, 2019. "Globalised vs averaged: Bias and ranking performance on the author level," Journal of Informetrics, Elsevier, vol. 13(1), pages 299-313.
    53. Loet Leydesdorff, 2012. "Alternatives to the journal impact factor: I3 and the top-10% (or top-25%?) of the most-highly cited papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(2), pages 355-365, August.
    54. Loet Leydesdorff & Lutz Bornmann, 2012. "Testing differences statistically with the Leiden ranking," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(3), pages 781-783, September.
    55. Loet Leydesdorff, 2013. "An evaluation of impacts in “Nanoscience & nanotechnology”: steps towards standards for citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(1), pages 35-55, January.
    56. Loet Leydesdorff & Paul Wouters & Lutz Bornmann, 2016. "Professional and citizen bibliometrics: complementarities and ambivalences in the development and use of indicators—a state-of-the-art report," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 2129-2150, December.
    57. Marcello D’Agostino & Valentino Dardanoni & Roberto Ghiselli Ricci, 2017. "How to standardize (if you must)," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(2), pages 825-843, November.
    58. Abramo, Giovanni & Cicero, Tindaro & D’Angelo, Ciriaco Andrea, 2012. "How important is choice of the scaling factor in standardizing citations?," Journal of Informetrics, Elsevier, vol. 6(4), pages 645-654.
    59. Janne-Tuomas Seppänen & Hanna Värri & Irene Ylönen, 2022. "Co-citation Percentile Rank and JYUcite: a new network-standardized output-level citation influence metric and its implementation using Dimensions API," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(6), pages 3523-3541, June.
    60. Torger Möller & Marion Schmidt & Stefan Hornbostel, 2016. "Assessing the effects of the German Excellence Initiative with bibliometric methods," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 2217-2239, December.
    61. Lucy Amez, 2012. "Citation measures at the micro level: Influence of publication age, field, and uncitedness," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(7), pages 1459-1465, July.
    62. Loet Leydesdorff & Tobias Opthof, 2012. "A rejoinder on energy versus impact indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(2), pages 745-748, February.
    63. Gangan Prathap, 2012. "The quality-quantity-quasity and energy-exergy-entropy exegesis of expected value calculation of citation performance," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(1), pages 269-275, April.
    64. Loet Leydesdorff & Lutz Bornmann & Jonathan Adams, 2019. "The integrated impact indicator revisited (I3*): a non-parametric alternative to the journal impact factor," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(3), pages 1669-1694, June.
    65. Loet Leydesdorff, 2013. "Statistics for the dynamic analysis of scientometric data: the evolution of the sciences in terms of trajectories and regimes," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(3), pages 731-741, September.
    66. Michael Schreiber, 2013. "How much do different ways of calculating percentiles influence the derived performance indicators? A case study," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(3), pages 821-829, December.
    67. Koh Yamamoto & Takuo Yasunaga, 2022. "A percentile rank score of group productivity: an evaluation of publication productivity for researchers from various fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(4), pages 1737-1754, April.
    68. Denis Bouyssou & Thierry Marchant, 2016. "Ranking authors using fractional counting of citations: An axiomatic approach," Post-Print hal-01397699, HAL.
    69. Pislyakov, Vladimir, 2022. "On some properties of medians, percentiles, baselines, and thresholds in empirical bibliometric analysis," Journal of Informetrics, Elsevier, vol. 16(4).
    70. Kaur, Jasleen & Ferrara, Emilio & Menczer, Filippo & Flammini, Alessandro & Radicchi, Filippo, 2015. "Quality versus quantity in scientific impact," Journal of Informetrics, Elsevier, vol. 9(4), pages 800-808.

  131. Zhou, Ping & Leydesdorff, Loet, 2011. "Fractional counting of citations in research evaluation: A cross- and interdisciplinary assessment of the Tsinghua University in Beijing," Journal of Informetrics, Elsevier, vol. 5(3), pages 360-368.

    Cited by:

    1. Fiorenzo Franceschini & Maurizio Galetto & Domenico Maisano & Luca Mastrogiacomo, 2012. "The success-index: an alternative approach to the h-index for evaluating an individual’s research output," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(3), pages 621-641, September.
    2. Rafols, Ismael & Leydesdorff, Loet & O’Hare, Alice & Nightingale, Paul & Stirling, Andy, 2012. "How journal rankings can suppress interdisciplinary research: A comparison between Innovation Studies and Business & Management," Research Policy, Elsevier, vol. 41(7), pages 1262-1282.
    3. Kuan, Chung-Huei & Huang, Mu-Hsuan & Chen, Dar-Zen, 2013. "Cross-field evaluation of publications of research institutes using their contributions to the fields’ MVPs determined by h-index," Journal of Informetrics, Elsevier, vol. 7(2), pages 455-468.
    4. Ludo Waltman & Nees Jan Eck, 2013. "Source normalized indicators of citation impact: an overview of different approaches and an empirical comparison," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(3), pages 699-716, September.
    5. Henk F. Moed, 2016. "Comprehensive indicator comparisons intelligible to non-experts: the case of two SNIP versions," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(1), pages 51-65, January.
    6. Wolfgang Glänzel & Henk F. Moed, 2013. "Opinion paper: thoughts and facts on bibliometric indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(1), pages 381-394, July.
    7. Radicchi, Filippo & Castellano, Claudio, 2012. "Testing the fairness of citation indicators for comparison across scientific domains: The case of fractional citation counts," Journal of Informetrics, Elsevier, vol. 6(1), pages 121-130.
    8. Loet Leydesdorff & Ping Zhou & Lutz Bornmann, 2013. "How can journal impact factors be normalized across fields of science? An assessment in terms of percentile ranks and fractional counts," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(1), pages 96-107, January.
    9. Csomós, György, 2020. "Introducing recalibrated academic performance indicators in the evaluation of individuals’ research performance: A case study from Eastern Europe," Journal of Informetrics, Elsevier, vol. 14(4).
    10. Wang, Xuefeng & Huang, Meng & Wang, Hongyuan & Lei, Ming & Zhu, Donghua & Ren, Jie & Jabeen, Munazza, 2014. "International Collaboration Activity Index: Case study of dye-sensitized solar cells," Journal of Informetrics, Elsevier, vol. 8(4), pages 854-862.
    11. Waltman, Ludo & van Eck, Nees Jan, 2013. "A systematic empirical comparison of different approaches for normalizing citation impact indicators," Journal of Informetrics, Elsevier, vol. 7(4), pages 833-849.
    12. Jeppe Nicolaisen & Tove Faber Frandsen, 2021. "Number of references: a large-scale study of interval ratios," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 259-285, January.
    13. Frank Havemann & Birger Larsen, 2015. "Bibliometric indicators of young authors in astrophysics: Can later stars be predicted?," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1413-1434, February.
    14. Loet Leydesdorff, 2012. "Alternatives to the journal impact factor: I3 and the top-10% (or top-25%?) of the most-highly cited papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(2), pages 355-365, August.
    15. Loet Leydesdorff & Lutz Bornmann, 2012. "Testing differences statistically with the Leiden ranking," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(3), pages 781-783, September.
    16. Loet Leydesdorff, 2013. "An evaluation of impacts in “Nanoscience & nanotechnology”: steps towards standards for citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(1), pages 35-55, January.
    17. Zhiqi Wang & Wolfgang Glänzel & Yue Chen, 2020. "The impact of preprints in Library and Information Science: an analysis of citations, usage and social attention indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1403-1423, November.
    18. Denis Bouyssou & Thierry Marchant, 2016. "Ranking authors using fractional counting of citations: An axiomatic approach," Post-Print hal-01397699, HAL.

  132. Loet Leydesdorff & Lutz Bornmann, 2011. "How fractional counting of citations affects the impact factor: Normalization in terms of differences in citation potentials among fields of science," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(2), pages 217-229, February.

    Cited by:

    1. Yin, Zhifeng & Liang, Zheng & Zhi, Qiang, 2018. "Does the concentration of scientific research funding in institutions promote knowledge output?," Journal of Informetrics, Elsevier, vol. 12(4), pages 1146-1159.
    2. Bornmann, Lutz & Haunschild, Robin, 2016. "Normalization of Mendeley reader impact on the reader- and paper-side: A comparison of the mean discipline normalized reader score (MDNRS) with the mean normalized reader score (MNRS) and bare reader ," Journal of Informetrics, Elsevier, vol. 10(3), pages 776-788.
    3. Dorta-González, Pablo & Dorta-González, María Isabel & Santos-Peñate, Dolores Rosa & Suárez-Vega, Rafael, 2014. "Journal topic citation potential and between-field comparisons: The topic normalized impact factor," Journal of Informetrics, Elsevier, vol. 8(2), pages 406-418.
    4. Hu, Ya-Han & Tai, Chun-Tien & Liu, Kang Ernest & Cai, Cheng-Fang, 2020. "Identification of highly-cited papers using topic-model-based and bibliometric features: the consideration of keyword popularity," Journal of Informetrics, Elsevier, vol. 14(1).
    5. Bornmann, Lutz & Leydesdorff, Loet, 2012. "Which are the best performing regions in information science in terms of highly cited papers? Some improvements of our previous mapping approaches," Journal of Informetrics, Elsevier, vol. 6(2), pages 336-345.
    6. Alexander Subbotin & Samin Aref, 2021. "Brain drain and brain gain in Russia: Analyzing international migration of researchers by discipline using Scopus bibliometric data 1996–2020," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(9), pages 7875-7900, September.
    7. Zhou, Ping & Leydesdorff, Loet, 2011. "Fractional counting of citations in research evaluation: A cross- and interdisciplinary assessment of the Tsinghua University in Beijing," Journal of Informetrics, Elsevier, vol. 5(3), pages 360-368.
    8. Bornmann, Lutz & Marx, Werner, 2018. "Critical rationalism and the search for standard (field-normalized) indicators in bibliometrics," Journal of Informetrics, Elsevier, vol. 12(3), pages 598-604.
    9. Lutz Bornmann & Alexander Tekles & Loet Leydesdorff, 2019. "How well does I3 perform for impact measurement compared to other bibliometric indicators? The convergent validity of several (field-normalized) indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 1187-1205, May.
    10. Ludo Waltman & Nees Jan Eck, 2013. "Source normalized indicators of citation impact: an overview of different approaches and an empirical comparison," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(3), pages 699-716, September.
    11. Mêgnigbêto, Eustache, 2018. "Modelling the Triple Helix of university-industry-government relationships with game theory: Core, Shapley value and nucleolus as indicators of synergy within an innovation system," Journal of Informetrics, Elsevier, vol. 12(4), pages 1118-1132.
    12. Mingers, John & Leydesdorff, Loet, 2015. "A review of theory and practice in scientometrics," European Journal of Operational Research, Elsevier, vol. 246(1), pages 1-19.
    13. Zhesi Shen & Liying Yang & Zengru Di & Jinshan Wu, 2019. "Large enough sample size to rank two groups of data reliably according to their means," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(2), pages 653-671, February.
    14. Henk F. Moed, 2016. "Comprehensive indicator comparisons intelligible to non-experts: the case of two SNIP versions," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(1), pages 51-65, January.
    15. Bornmann, Lutz & Haunschild, Robin, 2016. "Citation score normalized by cited references (CSNCR): The introduction of a new citation impact indicator," Journal of Informetrics, Elsevier, vol. 10(3), pages 875-887.
    16. Dorta-González, P. & Dorta-González, M.I., 2013. "Impact maturity times and citation time windows: The 2-year maximum journal impact factor," Journal of Informetrics, Elsevier, vol. 7(3), pages 593-602.
    17. Mutz, Rüdiger & Daniel, Hans-Dieter, 2012. "Skewed citation distributions and bias factors: Solutions to two core problems with the journal impact factor," Journal of Informetrics, Elsevier, vol. 6(2), pages 169-176.
    18. Giovanni Abramo & Corrado Costa & Ciriaco Andrea D’Angelo, 2015. "A multivariate stochastic model to assess research performance," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1755-1772, February.
    19. Bornmann, Lutz & Marx, Werner, 2015. "Methods for the generation of normalized citation impact scores in bibliometrics: Which method best reflects the judgements of experts?," Journal of Informetrics, Elsevier, vol. 9(2), pages 408-418.
    20. Tom Z. J. Fu & Qianqian Song & Dah Ming Chiu, 2014. "The academic social network," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 203-239, October.
    21. Cristiano Varin & Manuela Cattelan & David Firth, 2016. "Statistical modelling of citation exchange between statistics journals," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 179(1), pages 1-63, January.
    22. Radicchi, Filippo & Castellano, Claudio, 2012. "Testing the fairness of citation indicators for comparison across scientific domains: The case of fractional citation counts," Journal of Informetrics, Elsevier, vol. 6(1), pages 121-130.
    23. Loet Leydesdorff & Ping Zhou & Lutz Bornmann, 2013. "How can journal impact factors be normalized across fields of science? An assessment in terms of percentile ranks and fractional counts," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(1), pages 96-107, January.
    24. Yves Fassin, 2020. "The HF-rating as a universal complement to the h-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 965-990, November.
    25. Li, Yunrong & Radicchi, Filippo & Castellano, Claudio & Ruiz-Castillo, Javier, 2013. "Quantitative evaluation of alternative field normalization procedures," Journal of Informetrics, Elsevier, vol. 7(3), pages 746-755.
    26. Maxim Kotsemir & Sergey Shashnov, 2017. "Measuring, analysis and visualization of research capacity of university at the level of departments and staff members," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1659-1689, September.
    27. Pablo Dorta-González & María Isabel Dorta-González & Rafael Suárez-Vega, 2015. "An approach to the author citation potential: measures of scientific performance which are invariant across scientific fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1467-1496, February.
    28. Waltman, Ludo & van Eck, Nees Jan & van Leeuwen, Thed N. & Visser, Martijn S., 2013. "Some modifications to the SNIP journal impact indicator," Journal of Informetrics, Elsevier, vol. 7(2), pages 272-285.
    29. Waltman, Ludo, 2016. "A review of the literature on citation impact indicators," Journal of Informetrics, Elsevier, vol. 10(2), pages 365-391.
    30. Aksnes, Dag W. & Schneider, Jesper W. & Gunnarsson, Magnus, 2012. "Ranking national research systems by citation indicators. A comparative analysis using whole and fractionalised counting methods," Journal of Informetrics, Elsevier, vol. 6(1), pages 36-43.
    31. Waltman, Ludo & van Eck, Nees Jan, 2013. "A systematic empirical comparison of different approaches for normalizing citation impact indicators," Journal of Informetrics, Elsevier, vol. 7(4), pages 833-849.
    32. Ludo Waltman & Erjia Yan & Nees Jan Eck, 2011. "A recursive field-normalized bibliometric performance indicator: an application to the field of library and information science," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(1), pages 301-314, October.
    33. Chaomei Chen, 2018. "Eugene Garfield’s scholarly impact: a scientometric review," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(2), pages 489-516, February.
    34. Jung Cheol Shin & Soo Jeung Lee, 2022. "Different measures of international faculty and their impacts on global rankings," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(11), pages 6125-6145, November.
    35. Lutz Bornmann & Werner Marx & Andreas Barth, 2013. "The Normalization of Citation Counts Based on Classification Systems," Publications, MDPI, vol. 1(2), pages 1-9, August.
    36. Giovanni Abramo & Ciriaco Andrea D’Angelo, 2014. "How do you define and measure research productivity?," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1129-1144, November.
    37. Loet Leydesdorff, 2012. "Alternatives to the journal impact factor: I3 and the top-10% (or top-25%?) of the most-highly cited papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(2), pages 355-365, August.
    38. Cristian Colliander & Per Ahlgren, 2019. "Comparison of publication-level approaches to ex-post citation normalization," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(1), pages 283-300, July.
    39. Jochen Gläser & Wolfgang Glänzel & Andrea Scharnhorst, 2017. "Same data—different results? Towards a comparative approach to the identification of thematic structures in science," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 981-998, May.
    40. Loet Leydesdorff, 2013. "An evaluation of impacts in “Nanoscience & nanotechnology”: steps towards standards for citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(1), pages 35-55, January.
    41. Anthony F. J. Raan, 2021. "Laudation on the occasion of the presentation of the Derek de Solla Price Award 2021 to Prof. Ludo Waltman at the ISSI conference, Leuven, 2021," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(10), pages 8235-8238, October.
    42. P. Dorta-González & M. I. Dorta-González, 2013. "Comparing journals from different fields of science and social science through a JCR subject categories normalized impact factor," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(2), pages 645-672, May.
    43. Tolga Yuret, 2018. "Author-weighted impact factor and reference return ratio: can we attain more equality among fields?," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(3), pages 2097-2111, September.
    44. Liwei Cai & Jiahao Tian & Jiaying Liu & Xiaomei Bai & Ivan Lee & Xiangjie Kong & Feng Xia, 2019. "Scholarly impact assessment: a survey of citation weighting solutions," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(2), pages 453-478, February.
    45. Ahlgren, Per & Waltman, Ludo, 2014. "The correlation between citation-based and expert-based assessments of publication channels: SNIP and SJR vs. Norwegian quality assessments," Journal of Informetrics, Elsevier, vol. 8(4), pages 985-996.
    46. Rüdiger Mutz & Hans-Dieter Daniel, 2012. "The generalized propensity score methodology for estimating unbiased journal impact factors," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(2), pages 377-390, August.
    47. Loet Leydesdorff & Tobias Opthof, 2012. "A rejoinder on energy versus impact indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(2), pages 745-748, February.
    48. Pilar Valderrama & Manuel Escabias & Evaristo Jiménez-Contreras & Alberto Rodríguez-Archilla & Mariano J. Valderrama, 2018. "Proposal of a stochastic model to determine the bibliometric variables influencing the quality of a journal: application to the field of Dentistry," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(2), pages 1087-1095, May.

  133. Bornmann, Lutz & Leydesdorff, Loet & Walch-Solimena, Christiane & Ettl, Christoph, 2011. "Mapping excellence in the geography of science: An approach based on Scopus data," Journal of Informetrics, Elsevier, vol. 5(4), pages 537-546.

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    1. Guangyao Zhang & Yuqi Wang & Weixi Xie & Han Du & Chunlin Jiang & Xianwen Wang, 2021. "The open access usage advantage: a temporal and spatial analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 6187-6199, July.
    2. Copiello, Sergio, 2019. "Peer and neighborhood effects: Citation analysis using a spatial autoregressive model and pseudo-spatial data," Journal of Informetrics, Elsevier, vol. 13(1), pages 238-254.
    3. Marlene K. Kirchner & Ľubor Košťál & Boris Bilčík & Christoph Winckler, 2017. "Mapping farm animal welfare research in an enlarged Europe: international collaboration, bibliometric output, research resources and relation to economic indices," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(2), pages 909-922, November.
    4. Bornmann, Lutz & Leydesdorff, Loet, 2012. "Which are the best performing regions in information science in terms of highly cited papers? Some improvements of our previous mapping approaches," Journal of Informetrics, Elsevier, vol. 6(2), pages 336-345.
    5. Marcin Kozak & Lutz Bornmann & Loet Leydesdorff, 2015. "How have the Eastern European countries of the former Warsaw Pact developed since 1990? A bibliometric study," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1101-1117, February.
    6. Maria Karaulova & Abdullah Gök & Oliver Shackleton & Philip Shapira, 2016. "Science system path-dependencies and their influences: nanotechnology research in Russia," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(2), pages 645-670, May.
    7. Gian Maria Campedelli, 2021. "Where are we? Using Scopus to map the literature at the intersection between artificial intelligence and research on crime," Journal of Computational Social Science, Springer, vol. 4(2), pages 503-530, November.
    8. Csomós, György, 2018. "Reprint of “A spatial scientometric analysis of the publication output of cities worldwide”," Journal of Informetrics, Elsevier, vol. 12(2), pages 547-566.
    9. Bornmann, Lutz & Ozimek, Adam, 2012. "Stata commands for importing bibliometric data and processing author address information," Journal of Informetrics, Elsevier, vol. 6(4), pages 505-512.
    10. Bornmann, Lutz & Stefaner, Moritz & de Moya Anegón, Felix & Mutz, Rüdiger, 2014. "What is the effect of country-specific characteristics on the research performance of scientific institutions? Using multi-level statistical models to rank and map universities and research-focused in," Journal of Informetrics, Elsevier, vol. 8(3), pages 581-593.
    11. Loet Leydesdorff & Floortje Alkemade & Gaston Heimeriks & Rinke Hoekstra, 2015. "Patents as instruments for exploring innovation dynamics: geographic and technological perspectives on “photovoltaic cells”," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 629-651, January.
    12. Abramo, Giovanni & D’Angelo, Ciriaco Andrea, 2014. "Assessing national strengths and weaknesses in research fields," Journal of Informetrics, Elsevier, vol. 8(3), pages 766-775.
    13. Loet Leydesdorff & Lutz Bornmann, 2012. "Mapping (USPTO) patent data using overlays to Google Maps," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(7), pages 1442-1458, July.
    14. Gomez-Jauregui, Valentin & Gomez-Jauregui, Cecilia & Manchado, Cristina & Otero, Cesar, 2014. "Information management and improvement of citation indices," International Journal of Information Management, Elsevier, vol. 34(2), pages 257-271.
    15. Djuro Kutlača & Dragan Babić & Lazar Živković & Dijana Štrbac, 2015. "Analysis of quantitative and qualitative indicators of SEE countries scientific output," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 247-265, January.
    16. Per Ahlgren & Olle Persson & Robert Tijssen, 2013. "Geographical distance in bibliometric relations within epistemic communities," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(2), pages 771-784, May.
    17. Houcemeddine Turki & Mohamed Ali Hadj Taieb & Mohamed Ben Aouicha & Ajith Abraham, 2020. "Nature or Science: what Google Trends says," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1367-1385, August.
    18. Maisonobe, Marion & Eckert, Denis & Grossetti, Michel & Jégou, Laurent & Milard, Béatrice, 2016. "The world network of scientific collaborations between cities: domestic or international dynamics?," Journal of Informetrics, Elsevier, vol. 10(4), pages 1025-1036.
    19. Abramo, Giovanni & D’Angelo, Ciriaco Andrea, 2020. "A novel methodology to assess the scientific standing of nations at field level," Journal of Informetrics, Elsevier, vol. 14(1).
    20. Abramo, Giovanni & D’Angelo, Ciriaco Andrea, 2015. "A methodology to compute the territorial productivity of scientists: The case of Italy," Journal of Informetrics, Elsevier, vol. 9(4), pages 675-685.
    21. Zhigang Hu & Fangqi Guo & Haiyan Hou, 2017. "Mapping research spotlights for different regions in China," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 779-790, February.

  134. Loet Leydesdorff & Ismael Rafols, 2011. "Local emergence and global diffusion of research technologies: An exploration of patterns of network formation," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(5), pages 846-860, May.

    Cited by:

    1. Rousseau, Ronald & Liu, Yuxian & Ye, Fred Y., 2012. "A preliminary investigation on diffusion through a layered system," Journal of Informetrics, Elsevier, vol. 6(2), pages 177-191.
    2. Alexander Petersen & Daniele Rotolo & Loet Leydesdor, 2016. "A Triple Helix Model of Medical Innovation: Supply, Demand, and Technological Capabilities in terms of Medical Subject Headings," SPRU Working Paper Series 2016-01, SPRU - Science Policy Research Unit, University of Sussex Business School.
    3. Rafols, Ismael & Leydesdorff, Loet & O’Hare, Alice & Nightingale, Paul & Stirling, Andy, 2012. "How journal rankings can suppress interdisciplinary research: A comparison between Innovation Studies and Business & Management," Research Policy, Elsevier, vol. 41(7), pages 1262-1282.
    4. Yibo Lyu & Quanshan Liu & Binyuan He & Jingfei Nie, 2017. "Structural embeddedness and innovation diffusion: the moderating role of industrial technology grouping," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 889-916, May.
    5. Rotolo, Daniele & Hicks, Diana & Martin, Ben R., 2015. "What is an emerging technology?," Research Policy, Elsevier, vol. 44(10), pages 1827-1843.
    6. Per Ahlgren & Peter Pagin & Olle Persson & Maria Svedberg, 2015. "Bibliometric analysis of two subdomains in philosophy: free will and sorites," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(1), pages 47-73, April.
    7. Jos J. Winnink & Robert J. W. Tijssen & Anthony F. J. van Raan, 2016. "Theory‐changing breakthroughs in science: The impact of research teamwork on scientific discoveries," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(5), pages 1210-1223, May.
    8. Daniele Rotolo & Ismael Rafols & Michael Hopkins & Loet Leydesdorff, 2014. "Scientometric Mapping as a Strategic Intelligence Tool for the Governance of Emerging Technologies," SPRU Working Paper Series 2014-10, SPRU - Science Policy Research Unit, University of Sussex Business School.
    9. Yi Zhang & Mengjia Wu & Guangquan Zhang & Jie Lu, 2023. "Stepping beyond your comfort zone: Diffusion‐based network analytics for knowledge trajectory recommendation," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 74(7), pages 775-790, July.
    10. J. J. Winnink & Robert J. W. Tijssen, 2015. "Early stage identification of breakthroughs at the interface of science and technology: lessons drawn from a landmark publication," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 113-134, January.
    11. Wang, Xuefeng & Huang, Meng & Wang, Hongyuan & Lei, Ming & Zhu, Donghua & Ren, Jie & Jabeen, Munazza, 2014. "International Collaboration Activity Index: Case study of dye-sensitized solar cells," Journal of Informetrics, Elsevier, vol. 8(4), pages 854-862.
    12. Alfonso Ávila-Robinson & Shintaro Sengoku, 2017. "Tracing the knowledge-building dynamics in new stem cell technologies through techno-scientific networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1691-1720, September.
    13. Stefan Hennemann, 2012. "Evaluating the performance of geographical locations within scientific networks using an aggregation—randomization—re-sampling approach (ARR)," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(12), pages 2393-2404, December.
    14. Leydesdorff, Loet & Rafols, Ismael, 2012. "Interactive overlays: A new method for generating global journal maps from Web-of-Science data," Journal of Informetrics, Elsevier, vol. 6(2), pages 318-332.
    15. Igors Skute & Kasia Zalewska-Kurek & Isabella Hatak & Petra Weerd-Nederhof, 2019. "Mapping the field: a bibliometric analysis of the literature on university–industry collaborations," The Journal of Technology Transfer, Springer, vol. 44(3), pages 916-947, June.
    16. Liming Liang & Lixin Chen & Yishan Wu & Junpeng Yuan, 2012. "The role of Chinese universities in enterprise–university research collaboration," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 253-269, January.
    17. Yi Bu & Mengyang Li & Weiye Gu & Win‐bin Huang, 2021. "Topic diversity: A discipline scheme‐free diversity measurement for journals," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(5), pages 523-539, May.

  135. Loet Leydesdorff & Björn Hammarfelt & Almila Salah, 2011. "The structure of the Arts & Humanities Citation Index: A mapping on the basis of aggregated citations among 1,157 journals," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(12), pages 2414-2426, December.

    Cited by:

    1. Moshe Blidstein & Maayan Zhitomirsky-Geffet, 2022. "Towards a new generic framework for citation network generation and analysis in the humanities," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(7), pages 4275-4297, July.
    2. Bornmann, Lutz & Leydesdorff, Loet, 2017. "Skewness of citation impact data and covariates of citation distributions: A large-scale empirical analysis based on Web of Science data," Journal of Informetrics, Elsevier, vol. 11(1), pages 164-175.
    3. Loet Leydesdorff & Daniele Rotolo & Ismael Rafols, 2012. "Bibliometric perspectives on medical innovation using the medical subject Headings of PubMed," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(11), pages 2239-2253, November.
    4. Mora, Luca & Deakin, Mark & Reid, Alasdair, 2019. "Combining co-citation clustering and text-based analysis to reveal the main development paths of smart cities," Technological Forecasting and Social Change, Elsevier, vol. 142(C), pages 56-69.
    5. Rongying Zhao & Bikun Chen, 2014. "Applying author co-citation analysis to user interaction analysis: a case study on instant messaging groups," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 985-997, November.
    6. Loet Leydesdorff & Stephen Carley & Ismael Rafols, 2013. "Global maps of science based on the new Web-of-Science categories," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(2), pages 589-593, February.
    7. Loet Leydesdorff & Duncan Kushnir & Ismael Rafols, 2014. "Interactive overlay maps for US patent (USPTO) data based on International Patent Classification (IPC)," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1583-1599, March.
    8. Leydesdorff, Loet & Bornmann, Lutz & Zhou, Ping, 2016. "Construction of a pragmatic base line for journal classifications and maps based on aggregated journal-journal citation relations," Journal of Informetrics, Elsevier, vol. 10(4), pages 902-918.
    9. Per Ahlgren & Peter Pagin & Olle Persson & Maria Svedberg, 2015. "Bibliometric analysis of two subdomains in philosophy: free will and sorites," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(1), pages 47-73, April.
    10. Torres-Salinas, Daniel & Romero-Frías, Esteban & Arroyo-Machado, Wenceslao, 2019. "Mapping the backbone of the Humanities through the eyes of Wikipedia," Journal of Informetrics, Elsevier, vol. 13(3), pages 793-803.
    11. Giovanni Colavizza, 2017. "The structural role of the core literature in history," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(3), pages 1787-1809, December.
    12. Kim Britt Pijselman & Miklós Sükösd, 2023. "Mapping Gendered Communications, Film, and Media Studies: Seven Author Clusters and Two Discursive Communities," Publications, MDPI, vol. 11(1), pages 1-24, March.
    13. Leydesdorff, Loet & Rafols, Ismael, 2012. "Interactive overlays: A new method for generating global journal maps from Web-of-Science data," Journal of Informetrics, Elsevier, vol. 6(2), pages 318-332.
    14. Björn Hammarfelt, 2014. "Using altmetrics for assessing research impact in the humanities," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1419-1430, November.
    15. Ying Huang & Donghua Zhu & Qi Lv & Alan L. Porter & Douglas K. R. Robinson & Xuefeng Wang, 2017. "Early insights on the Emerging Sources Citation Index (ESCI): an overlay map-based bibliometric study," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 2041-2057, June.
    16. Colavizza, Giovanni & Franssen, Thomas & van Leeuwen, Thed, 2019. "An empirical investigation of the tribes and their territories: Are research specialisms rural and urban?," Journal of Informetrics, Elsevier, vol. 13(1), pages 105-117.
    17. Gómez-Núñez, Antonio J. & Batagelj, Vladimir & Vargas-Quesada, Benjamín & Moya-Anegón, Félix & Chinchilla-Rodríguez, Zaida, 2014. "Optimizing SCImago Journal & Country Rank classification by community detection," Journal of Informetrics, Elsevier, vol. 8(2), pages 369-383.

  136. Leydesdorff, Loet & Rafols, Ismael, 2011. "Indicators of the interdisciplinarity of journals: Diversity, centrality, and citations," Journal of Informetrics, Elsevier, vol. 5(1), pages 87-100.

    Cited by:

    1. Lin Zhang & Ronald Rousseau & Wolfgang Glänzel, 2016. "Diversity of references as an indicator of the interdisciplinarity of journals: Taking similarity between subject fields into account," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(5), pages 1257-1265, May.
    2. Daniele Fanelli & Wolfgang Glänzel, 2013. "Bibliometric Evidence for a Hierarchy of the Sciences," PLOS ONE, Public Library of Science, vol. 8(6), pages 1-11, June.
    3. Cottafava, Dario & Ascione, Grazia Sveva & Corazza, Laura & Dhir, Amandeep, 2022. "Sustainable development goals research in higher education institutions: An interdisciplinarity assessment through an entropy-based indicator," Journal of Business Research, Elsevier, vol. 151(C), pages 138-155.
    4. Núria Bautista-Puig & Jorge Mañana-Rodríguez & Antonio Eleazar Serrano-López, 2021. "Role taxonomy of green and sustainable science and technology journals: exportation, importation, specialization and interdisciplinarity," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(5), pages 3871-3892, May.
    5. Dorta-González, Pablo & Dorta-González, María Isabel & Santos-Peñate, Dolores Rosa & Suárez-Vega, Rafael, 2014. "Journal topic citation potential and between-field comparisons: The topic normalized impact factor," Journal of Informetrics, Elsevier, vol. 8(2), pages 406-418.
    6. Frid-Nielsen, Snorre Sylvester & Rubin, Olivier & Baekkeskov, Erik, 2019. "The state of social science research on antimicrobial resistance," Social Science & Medicine, Elsevier, vol. 242(C).
    7. Juste Raimbault, 2019. "Exploration of an interdisciplinary scientific landscape," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 617-641, May.
    8. Dengsheng Wu & Xiaoli Lu & Jianping Li & Jing Li, 2020. "Does the institutional diversity of editorial boards increase journal quality? The case economics field," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1579-1597, August.
    9. Shunshun Shi & Wenyu Zhang & Shuai Zhang & Jie Chen, 2018. "Does prestige dimension influence the interdisciplinary performance of scientific entities in knowledge flow? Evidence from the e-government field," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(2), pages 1237-1264, November.
    10. Jie Li & Floris Goerlandt & Karolien van Nunen & Koen Ponnet & Genserik Reniers, 2022. "Conceptualizing the Contextual Dynamics of Safety Climate and Safety Culture Research: A Comparative Scientometric Analysis," IJERPH, MDPI, vol. 19(2), pages 1-22, January.
    11. Feng Shi & James Evans, 2023. "Surprising combinations of research contents and contexts are related to impact and emerge with scientific outsiders from distant disciplines," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    12. Ruimin Ma & Erjia Yan, 2016. "Uncovering inter-specialty knowledge communication using author citation networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 839-854, November.
    13. Rafols, Ismael & Leydesdorff, Loet & O’Hare, Alice & Nightingale, Paul & Stirling, Andy, 2012. "How journal rankings can suppress interdisciplinary research: A comparison between Innovation Studies and Business & Management," Research Policy, Elsevier, vol. 41(7), pages 1262-1282.
    14. Alfonso Ávila-Robinson & Cristian Mejia & Shintaro Sengoku, 2021. "Are bibliometric measures consistent with scientists’ perceptions? The case of interdisciplinarity in research," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(9), pages 7477-7502, September.
    15. Giulio Giacomo Cantone, 2024. "How to measure interdisciplinary research? A systemic design for the model of measurement," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(8), pages 4937-4982, August.
    16. Chiara Carusi & Giuseppe Bianchi, 2020. "A look at interdisciplinarity using bipartite scholar/journal networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(2), pages 867-894, February.
    17. Sándor Soós & Zsófia Vida & András Schubert, 2018. "Long-term trends in the multidisciplinarity of some typical natural and social sciences, and its implications on the SSH versus STM distinction," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(3), pages 795-822, March.
    18. Zhao, Yi & Liu, Lifan & Zhang, Chengzhi, 2022. "Is coronavirus-related research becoming more interdisciplinary? A perspective of co-occurrence analysis and diversity measure of scientific articles," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    19. de Nooy, Wouter & Leydesdorff, Loet, 2015. "The dynamics of triads in aggregated journal–journal citation relations: Specialty developments at the above-journal level," Journal of Informetrics, Elsevier, vol. 9(3), pages 542-554.
    20. Bart Thijs, 2020. "Using neural-network based paragraph embeddings for the calculation of within and between document similarities," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 835-849, November.
    21. Pitambar Gautam & Ryuichi Yanagiya, 2012. "Reflection of cross-disciplinary research at Creative Research Institution (Hokkaido University) in the Web of Science database: appraisal and visualization using bibliometry," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(1), pages 101-111, October.
    22. Sander Zwanenburg & Maryam Nakhoda & Peter Whigham, 2022. "Toward greater consistency and validity in measuring interdisciplinarity: a systematic and conceptual evaluation," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7769-7788, December.
    23. Ryo Takahashi & Kenji Kaibe & Kazuyuki Suzuki & Sayaka Takahashi & Kotaro Takeda & Marc Hansen & Michiaki Yumoto, 2023. "New concept of the affinity between research fields using academic journal data in Scopus," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(6), pages 3507-3534, June.
    24. Lee, Won Sang & Sohn, So Young, 2018. "Effects of standardization on the evolution of information and communications technology," Technological Forecasting and Social Change, Elsevier, vol. 132(C), pages 308-317.
    25. Keisuke Okamura, 2019. "Interdisciplinarity revisited: evidence for research impact and dynamism," Palgrave Communications, Palgrave Macmillan, vol. 5(1), pages 1-9, December.
    26. Jorge A. V. Tohalino & Laura V. C. Quispe & Diego R. Amancio, 2021. "Analyzing the relationship between text features and grants productivity," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(5), pages 4255-4275, May.
    27. Mingyang Wang & Jiaqi Zhang & Guangsheng Chen & Kah-Hin Chai, 2019. "Examining the influence of open access on journals’ citation obsolescence by modeling the actual citation process," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(3), pages 1621-1641, June.
    28. Denise Pumain & Juste Raimbault, 2020. "Conclusion: Perspectives on Urban Theories," Post-Print halshs-02430512, HAL.
    29. Mingers, John & Leydesdorff, Loet, 2015. "A review of theory and practice in scientometrics," European Journal of Operational Research, Elsevier, vol. 246(1), pages 1-19.
    30. Loet Leydesdorff & Duncan Kushnir & Ismael Rafols, 2014. "Interactive overlay maps for US patent (USPTO) data based on International Patent Classification (IPC)," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1583-1599, March.
    31. Shengli Deng & Sudi Xia, 2020. "Mapping the interdisciplinarity in information behavior research: a quantitative study using diversity measure and co-occurrence analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 489-513, July.
    32. Yoshi-aki Shimada & Jun Suzuki, 2017. "Promoting scientodiversity inspired by biodiversity," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(3), pages 1463-1479, December.
    33. Xuefeng Wang & Zhinan Wang & Ying Huang & Yun Chen & Yi Zhang & Huichao Ren & Rongrong Li & Jinhui Pang, 2017. "Measuring interdisciplinarity of a research system: detecting distinction between publication categories and citation categories," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 2023-2039, June.
    34. Ilya V. Ponomarev & Brian K. Lawton & Duane E. Williams & Joshua D. Schnell, 2014. "Breakthrough paper indicator 2.0: can geographical diversity and interdisciplinarity improve the accuracy of outstanding papers prediction?," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(3), pages 755-765, September.
    35. Xiomara S. Q. Chacon & Thiago C. Silva & Diego R. Amancio, 2020. "Comparing the impact of subfields in scientific journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 625-639, October.
    36. Dorta-González, P. & Dorta-González, M.I., 2013. "Impact maturity times and citation time windows: The 2-year maximum journal impact factor," Journal of Informetrics, Elsevier, vol. 7(3), pages 593-602.
    37. Jielan Ding & Zhesi Shen & Per Ahlgren & Tobias Jeppsson & David Minguillo & Johan Lyhagen, 2021. "The link between ethnic diversity and scientific impact: the mediating effect of novelty and audience diversity," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(9), pages 7759-7810, September.
    38. Li, Xin & Tang, Xuli, 2021. "Characterizing interdisciplinarity in drug research: A translational science perspective," Journal of Informetrics, Elsevier, vol. 15(4).
    39. Peng, Tai-Quan, 2015. "Assortative mixing, preferential attachment, and triadic closure: A longitudinal study of tie-generative mechanisms in journal citation networks," Journal of Informetrics, Elsevier, vol. 9(2), pages 250-262.
    40. Keungoui Kim & Dieter F. Kogler & Sira Maliphol, 2024. "Identifying interdisciplinary emergence in the science of science: combination of network analysis and BERTopic," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-15, December.
    41. Lu Huang & Yijie Cai & Erdong Zhao & Shengting Zhang & Yue Shu & Jiao Fan, 2022. "Measuring the interdisciplinarity of Information and Library Science interactions using citation analysis and semantic analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(11), pages 6733-6761, November.
    42. Tânia F. G. G. Cova & Alberto A. C. C. Pais & Sebastião J. Formosinho, 2013. "Iberian universities: a characterisation from ESI rankings," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(3), pages 1239-1251, March.
    43. Wu, Chaojiang & Yan, Erjia & Hill, Chelsey, 2017. "Disciplinary knowledge diffusion in business research," Journal of Informetrics, Elsevier, vol. 11(2), pages 655-668.
    44. Wolfgang Glänzel & Koenraad Debackere, 2022. "Various aspects of interdisciplinarity in research and how to quantify and measure those," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(9), pages 5551-5569, September.
    45. Jingjing Ren & Fang Wang & Minglu Li, 2023. "Dynamics and characteristics of interdisciplinary research in scientific breakthroughs: case studies of Nobel-winning research in the past 120 years," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(8), pages 4383-4419, August.
    46. Cho, Yung-Jan & Fu, Pei-Wen & Wu, Chi-Cheng, 2017. "Popular Research Topics in Marketing Journals, 1995–2014," Journal of Interactive Marketing, Elsevier, vol. 40(C), pages 52-72.
    47. Carusi, Chiara & Bianchi, Giuseppe, 2019. "Scientific community detection via bipartite scholar/journal graph co-clustering," Journal of Informetrics, Elsevier, vol. 13(1), pages 354-386.
    48. Zhang, Lin & Sun, Mengting & Peng, Yujie & Zhao, Wenjing & Chen, Lixin & Huang, Ying, 2022. "How public investment fuels innovation: Clues from government-subsidized USPTO patents," Journal of Informetrics, Elsevier, vol. 16(3).
    49. Pablo Dorta-González & María Isabel Dorta-González & Rafael Suárez-Vega, 2015. "An approach to the author citation potential: measures of scientific performance which are invariant across scientific fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1467-1496, February.
    50. Jorge Mañana Rodríguez, 2017. "Disciplinarity and interdisciplinarity in citation and reference dimensions: knowledge importation and exportation taxonomy of journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 617-642, February.
    51. Singh, Mayank & Chakraborty, Tanmoy & Mukherjee, Animesh & Goyal, Pawan, 2016. "Is this conference a top-tier? ConfAssist: An assistive conflict resolution framework for conference categorization," Journal of Informetrics, Elsevier, vol. 10(4), pages 1005-1022.
    52. Chi, Pei-Shan, 2016. "Differing disciplinary citation concentration patterns of book and journal literature?," Journal of Informetrics, Elsevier, vol. 10(3), pages 814-829.
    53. Zhichao Ba & Yujie Cao & Jin Mao & Gang Li, 2019. "A hierarchical approach to analyzing knowledge integration between two fields—a case study on medical informatics and computer science," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(3), pages 1455-1486, June.
    54. Jorge Mannana-Rodriguez & Elea Giménez-Toledo, 2018. "Specialization and multidisciplinarity of scholarly book publishers: differences between Spanish University Presses and other scholarly publishers," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(1), pages 19-30, January.
    55. Kavitha Karunan & Hiran H. Lathabai & Thara Prabhakaran, 2017. "Discovering interdisciplinary interactions between two research fields using citation networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(1), pages 335-367, October.
    56. Lin Zhang & Beibei Sun & Zaida Chinchilla-Rodríguez & Lixin Chen & Ying Huang, 2018. "Interdisciplinarity and collaboration: on the relationship between disciplinary diversity in departmental affiliations and reference lists," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(1), pages 271-291, October.
    57. Hu, Fei & Zhao, Shangmei & Bing, Tao & Chang, Yiming, 2017. "Hierarchy in industrial structure: The cases of China and the USA," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 469(C), pages 871-882.
    58. Karmen Stopar & Damjana Drobne & Klemen Eler & Tomaz Bartol, 2016. "Citation analysis and mapping of nanoscience and nanotechnology: identifying the scope and interdisciplinarity of research," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(2), pages 563-581, February.
    59. Haustein, Stefanie & Siebenlist, Tobias, 2011. "Applying social bookmarking data to evaluate journal usage," Journal of Informetrics, Elsevier, vol. 5(3), pages 446-457.
    60. Leydesdorff, Loet & Wagner, Caroline S. & Bornmann, Lutz, 2019. "Interdisciplinarity as diversity in citation patterns among journals: Rao-Stirling diversity, relative variety, and the Gini coefficient," Journal of Informetrics, Elsevier, vol. 13(1), pages 255-269.
    61. Gabriele Sampagnaro, 2023. "Keyword occurrences and journal specialization," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(10), pages 5629-5645, October.
    62. Loet Leydesdorff & Caroline S. Wagner & Lutz Bornmann, 2018. "Betweenness and diversity in journal citation networks as measures of interdisciplinarity—A tribute to Eugene Garfield," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(2), pages 567-592, February.
    63. Jian Wang & Bart Thijs & Wolfgang Glänzel, 2015. "Interdisciplinarity and Impact: Distinct Effects of Variety, Balance, and Disparity," PLOS ONE, Public Library of Science, vol. 10(5), pages 1-18, May.
    64. Ugo Moschini & Elena Fenialdi & Cinzia Daraio & Giancarlo Ruocco & Elisa Molinari, 2020. "A comparison of three multidisciplinarity indices based on the diversity of Scopus subject areas of authors’ documents, their bibliography and their citing papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1145-1158, November.
    65. Sándor Soós & George Kampis, 2012. "Beyond the basemap of science: mapping multiple structures in research portfolios: evidence from Hungary," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(3), pages 869-891, December.
    66. Liang Hu & Win-bin Huang & Yi Bu, 2024. "Interdisciplinary research attracts greater attention from policy documents: evidence from COVID-19," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-10, December.
    67. Leydesdorff, Loet & Rafols, Ismael, 2012. "Interactive overlays: A new method for generating global journal maps from Web-of-Science data," Journal of Informetrics, Elsevier, vol. 6(2), pages 318-332.
    68. P. Dorta-González & M. I. Dorta-González, 2013. "Comparing journals from different fields of science and social science through a JCR subject categories normalized impact factor," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(2), pages 645-672, May.
    69. Dobis, Elizabeth A. & Delgado, Michael S. & Florax, Raymond J.G.M & Mulder, Peter, 2015. "The Significance of Urban Hierarchy in Explaining Population Dynamics in the United States," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205869, Agricultural and Applied Economics Association.
    70. Juan María Hernández & Pablo Dorta-González, 2020. "Interdisciplinarity Metric Based on the Co-Citation Network," Mathematics, MDPI, vol. 8(4), pages 1-8, April.
    71. Mason Youngblood & David Lahti, 2018. "A bibliometric analysis of the interdisciplinary field of cultural evolution," Palgrave Communications, Palgrave Macmillan, vol. 4(1), pages 1-9, December.
    72. Seolmin Yang & So Young Kim, 2023. "Knowledge-integrated research is more disruptive when supported by homogeneous funding sources: a case of US federally funded research in biomedical and life sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(6), pages 3257-3282, June.
    73. Chaturvedi, Rijul & Verma, Sanjeev & Das, Ronnie & Dwivedi, Yogesh K., 2023. "Social companionship with artificial intelligence: Recent trends and future avenues," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
    74. Goldman, Alyssa W., 2014. "Conceptualizing the interdisciplinary diffusion and evolution of emerging fields: The case of systems biology," Journal of Informetrics, Elsevier, vol. 8(1), pages 43-58.
    75. Wenjing Xu & Zhi Li & Yudong Wang & KeJun Ma & Lu Liu & Yijun Bao & Xin Shi, 2024. "Public Health and Children’s Subjective Well-Being," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 17(4), pages 1471-1493, August.
    76. Magda Fontana & Martina Iori & Fabio Montobbio & Roberta Sinatra, 2018. "A bridge over troubled water: Interdisciplinarity, Novelty, and Impact," DISCE - Quaderni del Dipartimento di Politica Economica dipe0002, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    77. Haiyun Xu & Ting Guo & Zenghui Yue & Lijie Ru & Shu Fang, 2016. "Interdisciplinary topics of information science: a study based on the terms interdisciplinarity index series," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(2), pages 583-601, February.
    78. Shogo Katoh & Rick (H.L.) Aalbers & Shintaro Sengoku, 2021. "Effects and Interactions of Researcher’s Motivation and Personality in Promoting Interdisciplinary and Transdisciplinary Research," Sustainability, MDPI, vol. 13(22), pages 1-19, November.

  137. Loet Leydesdorff & Félix de Moya‐Anegón & Vicente P. Guerrero‐Bote, 2010. "Journal maps on the basis of Scopus data: A comparison with the Journal Citation Reports of the ISI," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(2), pages 352-369, February.

    Cited by:

    1. J. A. García & Rosa Rodriguez-Sánchez & J. Fdez-Valdivia, 2011. "Overall prestige of journals with ranking score above a given threshold," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(1), pages 229-243, October.
    2. George Emm Halkos & Nickolaos G. Tzeremes, 2011. "Measuring economic journals’ citation efficiency: a data envelopment analysis approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(3), pages 979-1001, September.
    3. Liu, Aiping & Urquía-Grande, Elena & López-Sánchez, Pilar & Rodríguez-López, Ángel, 2023. "Research into microfinance and ICTs: A bibliometric analysis," Evaluation and Program Planning, Elsevier, vol. 97(C).
    4. J. A. García & Rosa Rodriguez-Sánchez & J. Fdez-Valdivia & J. Martinez-Baena, 2012. "On first quartile journals which are not of highest impact," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(3), pages 925-943, March.
    5. Mu-hsuan Huang & Wang-Ching Shaw & Chi-Shiou Lin, 2019. "One category, two communities: subfield differences in “Information Science and Library Science” in Journal Citation Reports," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 1059-1079, May.
    6. Tomaz Bartol & Gordana Budimir & Doris Dekleva-Smrekar & Miro Pusnik & Primoz Juznic, 2014. "Assessment of research fields in Scopus and Web of Science in the view of national research evaluation in Slovenia," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(2), pages 1491-1504, February.
    7. Aparna Basu & Roland Wagner Dobler, 2012. "‘Cognitive mobility’ or migration of authors between fields used in mapping a network of mathematics," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(2), pages 353-368, May.
    8. Darja Maslić Seršić & Marina Martinčević & Maja Jokić, 2021. "The contribution of CEE authors to psychological science: a comparative analysis of papers published in CEE and non-CEE journals indexed by Scopus in the period 1996—2013," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 1453-1469, February.
    9. Igor Barahona & Daría Micaela Hernández & Héctor Hugo Pérez-Villarreal & María Pilar Martínez-Ruíz, 2018. "Identifying research topics in marketing science along the past decade: a content analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(1), pages 293-312, October.
    10. Malwina Mejer, 2011. "Entrepreneurial Scientists and their Publication Performance. An Insight from Belgium," Working Papers ECARES ECARES 2011-017, ULB -- Universite Libre de Bruxelles.
    11. Amalia Mas-Bleda & Mike Thelwall, 2016. "Can alternative indicators overcome language biases in citation counts? A comparison of Spanish and UK research," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 2007-2030, December.
    12. A. Abrizah & A. N. Zainab & K. Kiran & R. G. Raj, 2013. "LIS journals scientific impact and subject categorization: a comparison between Web of Science and Scopus," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(2), pages 721-740, February.
    13. Torres-Salinas, Daniel & Romero-Frías, Esteban & Arroyo-Machado, Wenceslao, 2019. "Mapping the backbone of the Humanities through the eyes of Wikipedia," Journal of Informetrics, Elsevier, vol. 13(3), pages 793-803.
    14. Maja Jokić, 2020. "Productivity, visibility, authorship, and collaboration in library and information science journals: Central and Eastern European authors," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(2), pages 1189-1219, February.
    15. J. A. García & Rosa Rodriguez-Sánchez & J. Fdez-Valdivia, 2012. "A comparison of top economics departments in the US and EU on the basis of the multidimensional prestige of influential articles in 2010," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(3), pages 681-698, December.
    16. Peng, Tai-Quan, 2015. "Assortative mixing, preferential attachment, and triadic closure: A longitudinal study of tie-generative mechanisms in journal citation networks," Journal of Informetrics, Elsevier, vol. 9(2), pages 250-262.
    17. E. Krauskopf, 2013. "Standardization of the institutional address," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(3), pages 1313-1315, March.
    18. Romo-Fernández, Luz M. & López-Pujalte, Cristina & Guerrero Bote, Vicente P. & Moya-Anegón, Félix, 2011. "Analysis of Europe’s scientific production on renewable energies," Renewable Energy, Elsevier, vol. 36(9), pages 2529-2537.
    19. Guerrero-Bote, Vicente P. & Moya-Anegón, Félix, 2012. "A further step forward in measuring journals’ scientific prestige: The SJR2 indicator," Journal of Informetrics, Elsevier, vol. 6(4), pages 674-688.
    20. Peter Mutschke & Philipp Mayr & Philipp Schaer & York Sure, 2011. "Science models as value-added services for scholarly information systems," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(1), pages 349-364, October.
    21. Leydesdorff, Loet & Rafols, Ismael, 2012. "Interactive overlays: A new method for generating global journal maps from Web-of-Science data," Journal of Informetrics, Elsevier, vol. 6(2), pages 318-332.
    22. Ennas, Gianfranco & Di Guardo, Maria Chiara, 2015. "Features of top-rated gold open access journals: An analysis of the scopus database," Journal of Informetrics, Elsevier, vol. 9(1), pages 79-89.
    23. Saeed-Ul Hassan & Peter Haddawy, 2013. "Measuring international knowledge flows and scholarly impact of scientific research," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(1), pages 163-179, January.
    24. Gianfranco Ennas & Battista Biggio & Maria Chiara Di Guardo, 2015. "Data-driven journal meta-ranking in business and management," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1911-1929, December.
    25. Sánchez-Gil, Susana & Gorraiz, Juan & Melero-Fuentes, David, 2018. "Reference density trends in the major disciplines," Journal of Informetrics, Elsevier, vol. 12(1), pages 42-58.
    26. Campanario, Juan Miguel, 2014. "Analysis of the distribution of cited journals according to their positions in the h-core of citing journal listed in Journal Citation Reports," Journal of Informetrics, Elsevier, vol. 8(3), pages 534-545.
    27. J. A. García & Rosa Rodriguez‐Sánchez & J. Fdez‐Valdivia, 2011. "Ranking of the subject areas of Scopus," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(10), pages 2013-2023, October.
    28. Luz M. Romo-Fernández & Vicente P. Guerrero-Bote & Félix Moya-Anegón, 2013. "Co-word based thematic analysis of renewable energy (1990–2010)," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(3), pages 743-765, December.

  138. Loet Leydesdorff & Olle Persson, 2010. "Mapping the geography of science: Distribution patterns and networks of relations among cities and institutes," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(8), pages 1622-1634, August.

    Cited by:

    1. Guangyao Zhang & Yuqi Wang & Weixi Xie & Han Du & Chunlin Jiang & Xianwen Wang, 2021. "The open access usage advantage: a temporal and spatial analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 6187-6199, July.
    2. Jiang Wu, 2013. "Geographical knowledge diffusion and spatial diversity citation rank," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(1), pages 181-201, January.
    3. Bornmann, Lutz & Leydesdorff, Loet, 2012. "Which are the best performing regions in information science in terms of highly cited papers? Some improvements of our previous mapping approaches," Journal of Informetrics, Elsevier, vol. 6(2), pages 336-345.
    4. Loet Leydesdorff & Daniele Rotolo & Ismael Rafols, 2012. "Bibliometric perspectives on medical innovation using the medical subject Headings of PubMed," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(11), pages 2239-2253, November.
    5. Lutz Bornmann & Loet Leydesdorff, 2011. "Which cities produce more excellent papers than can be expected? A new mapping approach, using Google Maps, based on statistical significance testing," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(10), pages 1954-1962, October.
    6. Lu, Kun & Wolfram, Dietmar, 2010. "Geographic characteristics of the growth of informetrics literature 1987–2008," Journal of Informetrics, Elsevier, vol. 4(4), pages 591-601.
    7. Geraldo J. Pessoa Junior & Thiago M. R. Dias & Thiago H. P. Silva & Alberto H. F. Laender, 2020. "On interdisciplinary collaborations in scientific coauthorship networks: the case of the Brazilian community," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2341-2360, September.
    8. Miguel Angel Rodriguez-Cabal & Diego Alejandro Herrera-Jaramillo & Juan David Bastidas-Rodriguez & Juan Pablo Villegas-Ceballos & Kevin Smit Montes-Villa, 2022. "Methodology for the Estimation of Electrical Power Consumed by Locomotives on Undocumented Railroad Tracks," Energies, MDPI, vol. 15(12), pages 1-23, June.
    9. Loet Leydesdorff & Duncan Kushnir & Ismael Rafols, 2014. "Interactive overlay maps for US patent (USPTO) data based on International Patent Classification (IPC)," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1583-1599, March.
    10. Csomós, György, 2018. "Reprint of “A spatial scientometric analysis of the publication output of cities worldwide”," Journal of Informetrics, Elsevier, vol. 12(2), pages 547-566.
    11. Bornmann, Lutz & Ozimek, Adam, 2012. "Stata commands for importing bibliometric data and processing author address information," Journal of Informetrics, Elsevier, vol. 6(4), pages 505-512.
    12. Gaston Heimeriks & Ron Boschma, 2014. "The path- and place-dependent nature of scientific knowledge production in biotech 1986–2008," Journal of Economic Geography, Oxford University Press, vol. 14(2), pages 339-364.
    13. Bornmann, Lutz & Waltman, Ludo, 2011. "The detection of “hot regions” in the geography of science—A visualization approach by using density maps," Journal of Informetrics, Elsevier, vol. 5(4), pages 547-553.
    14. Per Ahlgren & Peter Pagin & Olle Persson & Maria Svedberg, 2015. "Bibliometric analysis of two subdomains in philosophy: free will and sorites," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(1), pages 47-73, April.
    15. Chengliang Liu & Qinchang Gui, 2016. "Mapping intellectual structures and dynamics of transport geography research: a scientometric overview from 1982 to 2014," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(1), pages 159-184, October.
    16. Yunfang Jiang & Luyao Hou & Tiemao Shi & Qinchang Gui, 2017. "A Review of Urban Planning Research for Climate Change," Sustainability, MDPI, vol. 9(12), pages 1-21, December.
    17. Daniele Rotolo & Ismael Rafols & Michael Hopkins & Loet Leydesdorff, 2014. "Scientometric Mapping as a Strategic Intelligence Tool for the Governance of Emerging Technologies," SPRU Working Paper Series 2014-10, SPRU - Science Policy Research Unit, University of Sussex Business School.
    18. Loet Leydesdorff & Lutz Bornmann, 2012. "Mapping (USPTO) patent data using overlays to Google Maps," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(7), pages 1442-1458, July.
    19. Yaoyang, Xu & Boeing, Wiebke J., 2013. "Mapping biofuel field: A bibliometric evaluation of research output," Renewable and Sustainable Energy Reviews, Elsevier, vol. 28(C), pages 82-91.
    20. Boschma, Ron & Heimeriks, Gaston & Balland, Pierre-Alexandre, 2014. "Scientific knowledge dynamics and relatedness in biotech cities," Research Policy, Elsevier, vol. 43(1), pages 107-114.
    21. Marina Van Geenhuizen & Pieter Stek, 2015. "Mapping innovation in the global photovoltaic industry: a bibliometric approach to cluster identification and analysis," ERSA conference papers ersa15p697, European Regional Science Association.
    22. Pieter E. Stek, 2020. "Mapping high R&D city-regions worldwide: a patent heat map approach," Quality & Quantity: International Journal of Methodology, Springer, vol. 54(1), pages 279-296, February.
    23. Loet Leydesdorff, 2013. "An evaluation of impacts in “Nanoscience & nanotechnology”: steps towards standards for citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(1), pages 35-55, January.
    24. Irena Sajovic & Bojana Boh Podgornik, 2022. "Bibliometric Analysis of Visualizations in Computer Graphics: A Study," SAGE Open, , vol. 12(1), pages 21582440211, January.
    25. Waltman, Ludo & Tijssen, Robert J.W. & Eck, Nees Jan van, 2011. "Globalisation of science in kilometres," Journal of Informetrics, Elsevier, vol. 5(4), pages 574-582.
    26. Bornmann, Lutz & Leydesdorff, Loet & Walch-Solimena, Christiane & Ettl, Christoph, 2011. "Mapping excellence in the geography of science: An approach based on Scopus data," Journal of Informetrics, Elsevier, vol. 5(4), pages 537-546.
    27. Maisonobe, Marion & Eckert, Denis & Grossetti, Michel & Jégou, Laurent & Milard, Béatrice, 2016. "The world network of scientific collaborations between cities: domestic or international dynamics?," Journal of Informetrics, Elsevier, vol. 10(4), pages 1025-1036.
    28. Sebastian Grauwin & Pablo Jensen, 2011. "Mapping scientific institutions," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(3), pages 943-954, December.
    29. Øivind Strand & Inga Ivanova & Loet Leydesdorff, 2017. "Decomposing the Triple-Helix synergy into the regional innovation systems of Norway: firm data and patent networks," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(3), pages 963-988, May.
    30. Sjoerd Hardeman, 2013. "Organization level research in scientometrics: a plea for an explicit pragmatic approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(3), pages 1175-1194, March.
    31. Michel Grossetti & Denis Eckert & Yves Gingras & Laurent Jégou & Vincent Larivière & Béatrice Milard, 2014. "Cities and the geographical deconcentration of scientific activity: A multilevel analysis of publications (1987–2007)," Urban Studies, Urban Studies Journal Limited, vol. 51(10), pages 2219-2234, August.

  139. Bornmann, Lutz & Leydesdorff, Loet & Van den Besselaar, Peter, 2010. "A meta-evaluation of scientific research proposals: Different ways of comparing rejected to awarded applications," Journal of Informetrics, Elsevier, vol. 4(3), pages 211-220.

    Cited by:

    1. Daniele Rotolo & Michael Hopkins & Nicola Grassano, 2023. "Do funding sources complement or substitute? Examining the impact of cancer research publications," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 74(1), pages 50-66, January.
    2. Wang, Jian & Lee, You-Na & Walsh, John P., 2018. "Funding model and creativity in science: Competitive versus block funding and status contingency effects," Research Policy, Elsevier, vol. 47(6), pages 1070-1083.
    3. Gerald Schweiger & Adrian Barnett & Peter van den Besselaar & Lutz Bornmann & Andreas De Block & John P. A. Ioannidis & Ulf Sandstrom & Stijn Conix, 2024. "The Costs of Competition in Distributing Scarce Research Funds," Papers 2403.16934, arXiv.org.
    4. Adriana Bin & Sergio Salles-Filho & Ana Carolina Spatti & Jesús Pascual Mena-Chalco & Fernando Antonio Basile Colugnati, 2022. "How much does a Ph.D. scholarship program impact an emerging economy research performance?," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 6935-6960, December.
    5. van den Besselaar, Peter & Sandström, Ulf, 2015. "Early career grants, performance, and careers: A study on predictive validity of grant decisions," Journal of Informetrics, Elsevier, vol. 9(4), pages 826-838.
    6. Buehling, Kilian, 2021. "Changing research topic trends as an effect of publication rankings – The case of German economists and the Handelsblatt Ranking," Journal of Informetrics, Elsevier, vol. 15(3).
    7. Krist Vaesen & Joel Katzav, 2017. "How much would each researcher receive if competitive government research funding were distributed equally among researchers?," PLOS ONE, Public Library of Science, vol. 12(9), pages 1-11, September.
    8. van den Besselaar, Peter, 2012. "Selection committee membership: Service or self-service," Journal of Informetrics, Elsevier, vol. 6(4), pages 580-585.
    9. Frank Rijnsoever & Leon Welle & Sjoerd Bakker, 2014. "Credibility and legitimacy in policy-driven innovation networks: resource dependencies and expectations in Dutch electric vehicle subsidies," The Journal of Technology Transfer, Springer, vol. 39(4), pages 635-661, August.
    10. Kevin W. Boyack & Caleb Smith & Richard Klavans, 2018. "Toward predicting research proposal success," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(2), pages 449-461, February.
    11. Jun-Ying Fu & Xu Zhang & Yun-Hua Zhao & He-Feng Tong & Dar-Zen Chen & Mu-Hsuan Huang, 2012. "Scientific production and citation impact: a bibliometric analysis in acupuncture over three decades," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(3), pages 1061-1079, December.
    12. Pleun Arensbergen & Inge van der Weijden & Peter Besselaar, 2012. "Gender differences in scientific productivity: a persisting phenomenon?," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(3), pages 857-868, December.
    13. Loet Leydesdorff, 2013. "An evaluation of impacts in “Nanoscience & nanotechnology”: steps towards standards for citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(1), pages 35-55, January.
    14. Opthof, Tobias & Leydesdorff, Loet, 2010. "Caveats for the journal and field normalizations in the CWTS (“Leiden”) evaluations of research performance," Journal of Informetrics, Elsevier, vol. 4(3), pages 423-430.
    15. Adriana Bin & Sergio Salles-Filho & Luiza Maria Capanema & Fernando Antonio Basile Colugnati, 2015. "What difference does it make? Impact of peer-reviewed scholarships on scientific production," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1167-1188, February.
    16. Tobias Opthof & Loet Leydesdorff, 2011. "A comment to the paper by Waltman et al., Scientometrics, 87, 467–481, 2011," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(3), pages 1011-1016, September.
    17. Peter van den Besselaar & Ulf Sandström & Hélène Schiffbaenker, 2018. "Studying grant decision-making: a linguistic analysis of review reports," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(1), pages 313-329, October.
    18. Dangzhi Zhao, 2010. "Characteristics and impact of grant-funded research: a case study of the library and information science field," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(2), pages 293-306, August.
    19. Andrea Bonaccorsi & Luca Secondi, 2017. "The determinants of research performance in European universities: a large scale multilevel analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1147-1178, September.
    20. Squazzoni, Flaminio & Gandelli, Claudio, 2012. "Saint Matthew strikes again: An agent-based model of peer review and the scientific community structure," Journal of Informetrics, Elsevier, vol. 6(2), pages 265-275.
    21. Sander Gerritsen & Karen van der Wiel & Erik Plug, 2013. "Up or out? How individual research grants affect academic careers in the Netherlands," CPB Discussion Paper 249, CPB Netherlands Bureau for Economic Policy Analysis.
    22. Maaike Verbree & Edwin Horlings & Peter Groenewegen & Inge Weijden & Peter Besselaar, 2015. "Organizational factors influencing scholarly performance: a multivariate study of biomedical research groups," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 25-49, January.

  140. Ping Zhou & Xinning Su & Loet Leydesdorff, 2010. "A comparative study on communication structures of Chinese journals in the social sciences," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(7), pages 1360-1376, July.

    Cited by:

    1. Ping Zhou & Youneng Pan, 2015. "A comparative analysis of publication portfolios of selected economies," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(2), pages 825-842, November.
    2. Liu, Weishu & Hu, Guangyuan & Tang, Li & Wang, Yuandi, 2015. "China's global growth in social science research: Uncovering evidence from bibliometric analyses of SSCI publications (1978–2013)," Journal of Informetrics, Elsevier, vol. 9(3), pages 555-569.
    3. Meijun Liu & Xiao Hu & Jiang Li, 2018. "Knowledge flow in China’s humanities and social sciences," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(2), pages 607-626, March.
    4. Saeed-Ul Hassan & Peter Haddawy, 2015. "Analyzing knowledge flows of scientific literature through semantic links: a case study in the field of energy," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(1), pages 33-46, April.
    5. Saeed-Ul Hassan & Peter Haddawy, 2013. "Measuring international knowledge flows and scholarly impact of scientific research," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(1), pages 163-179, January.
    6. Yang Liu & Jinyuan Ma & Huanyu Song & Ziniu Qian & Xiao Lin, 2021. "Chinese Universities’ Cross-Border Research Collaboration in the Social Sciences and Its Impact," Sustainability, MDPI, vol. 13(18), pages 1-19, September.
    7. Guijie Zhang & Luning Liu & Fangfang Wei, 2019. "Key nodes mining in the inventor–author knowledge diffusion network," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 721-735, March.

  141. Loet Leydesdorff & Alkim Almila Akdag Salah, 2010. "Maps on the basis of the Arts & Humanities Citation Index: The journals Leonardo and Art Journal versus “digital humanities” as a topic," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(4), pages 787-801, April.

    Cited by:

    1. Antonio Ferrara & Andrea Bonaccorsi, 2016. "How robust is journal rating in Humanities and Social Sciences? Evidence from a large-scale, multi-method exercise," Research Evaluation, Oxford University Press, vol. 25(3), pages 279-291.
    2. Muh-Chyun Tang & Yun Jen Cheng & Kuang Hua Chen, 2017. "A longitudinal study of intellectual cohesion in digital humanities using bibliometric analyses," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(2), pages 985-1008, November.
    3. Aparna Basu & Roland Wagner Dobler, 2012. "‘Cognitive mobility’ or migration of authors between fields used in mapping a network of mathematics," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(2), pages 353-368, May.
    4. Per Ahlgren & Peter Pagin & Olle Persson & Maria Svedberg, 2015. "Bibliometric analysis of two subdomains in philosophy: free will and sorites," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(1), pages 47-73, April.
    5. Giovanni Colavizza, 2017. "The structural role of the core literature in history," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(3), pages 1787-1809, December.
    6. Björn Hammarfelt, 2011. "Interdisciplinarity and the intellectual base of literature studies: citation analysis of highly cited monographs," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(3), pages 705-725, March.

  142. Loet Leydesdorff, 2010. "The communication of meaning and the structuration of expectations: Giddens' “structuration theory” and Luhmann's “self‐organization”," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(10), pages 2138-2150, October.

    Cited by:

    1. Mark William Johnson & Loet Leydesdorff, 2015. "Beer's Viable System Model and Luhmann's Communication Theory: ‘Organizations’ from the Perspective of Meta-Games," Systems Research and Behavioral Science, Wiley Blackwell, vol. 32(3), pages 266-282, May.
    2. Loet Leydesdorff, 2015. "Can intellectual processes in the sciences also be simulated? The anticipation and visualization of possible future states," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 2197-2214, December.
    3. Inga A. Ivanova & Loet Leydesdorff, 2014. "A simulation model of the Triple Helix of university–industry–government relations and the decomposition of the redundancy," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(3), pages 927-948, June.
    4. Leydesdorff, Loet & Welbers, Kasper, 2011. "The semantic mapping of words and co-words in contexts," Journal of Informetrics, Elsevier, vol. 5(3), pages 469-475.
    5. Loet Leydesdorff, 2011. "“Structuration” by intellectual organization: the configuration of knowledge in relations among structural components in networks of science," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(2), pages 499-520, August.
    6. Loet Leydesdorff, 2013. "Statistics for the dynamic analysis of scientometric data: the evolution of the sciences in terms of trajectories and regimes," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(3), pages 731-741, September.

  143. Opthof, Tobias & Leydesdorff, Loet, 2010. "Caveats for the journal and field normalizations in the CWTS (“Leiden”) evaluations of research performance," Journal of Informetrics, Elsevier, vol. 4(3), pages 423-430.

    Cited by:

    1. J. A. García & Rosa Rodriguez-Sánchez & J. Fdez-Valdivia, 2011. "Overall prestige of journals with ranking score above a given threshold," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(1), pages 229-243, October.
    2. Schneider, Jesper W., 2013. "Caveats for using statistical significance tests in research assessments," Journal of Informetrics, Elsevier, vol. 7(1), pages 50-62.
    3. Rousseau, Ronald & Yang, Liying, 2012. "Reflections on the activity index and related indicators," Journal of Informetrics, Elsevier, vol. 6(3), pages 413-421.
    4. Per Ahlgren & Cristian Colliander & Olle Persson, 2012. "Field normalized citation rates, field normalized journal impact and Norwegian weights for allocation of university research funds," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(3), pages 767-780, September.
    5. Williams, Richard & Bornmann, Lutz, 2016. "Sampling issues in bibliometric analysis," Journal of Informetrics, Elsevier, vol. 10(4), pages 1225-1232.
    6. John Mingers & Martin Meyer, 2017. "Normalizing Google Scholar data for use in research evaluation," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(2), pages 1111-1121, August.
    7. Waltman, Ludo & van Eck, Nees Jan & van Leeuwen, Thed N. & Visser, Martijn S. & van Raan, Anthony F.J., 2011. "Towards a new crown indicator: Some theoretical considerations," Journal of Informetrics, Elsevier, vol. 5(1), pages 37-47.
    8. Wu, Jiang, 2013. "Investigating the universal distributions of normalized indicators and developing field-independent index," Journal of Informetrics, Elsevier, vol. 7(1), pages 63-71.
    9. Ulrich Schmoch, 2020. "Mean values of skewed distributions in the bibliometric assessment of research units," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 925-935, November.
    10. Bornmann, Lutz & Leydesdorff, Loet, 2017. "Skewness of citation impact data and covariates of citation distributions: A large-scale empirical analysis based on Web of Science data," Journal of Informetrics, Elsevier, vol. 11(1), pages 164-175.
    11. Zahedi, Zohreh & Haustein, Stefanie, 2018. "On the relationships between bibliographic characteristics of scientific documents and citation and Mendeley readership counts: A large-scale analysis of Web of Science publications," Journal of Informetrics, Elsevier, vol. 12(1), pages 191-202.
    12. Bornmann, Lutz & Leydesdorff, Loet, 2012. "Which are the best performing regions in information science in terms of highly cited papers? Some improvements of our previous mapping approaches," Journal of Informetrics, Elsevier, vol. 6(2), pages 336-345.
    13. Smolinsky, Lawrence, 2016. "Expected number of citations and the crown indicator," Journal of Informetrics, Elsevier, vol. 10(1), pages 43-47.
    14. Diana Hicks & Julia Melkers, 2013. "Bibliometrics as a tool for research evaluation," Chapters, in: Albert N. Link & Nicholas S. Vonortas (ed.), Handbook on the Theory and Practice of Program Evaluation, chapter 11, pages 323-349, Edward Elgar Publishing.
    15. Elizabeth S. Vieira & José A. N. F. Gomes, 2011. "The journal relative impact: an indicator for journal assessment," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(2), pages 631-651, November.
    16. Marcin Kozak & Lutz Bornmann & Loet Leydesdorff, 2015. "How have the Eastern European countries of the former Warsaw Pact developed since 1990? A bibliometric study," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1101-1117, February.
    17. Bornmann, Lutz & Leydesdorff, Loet & Mutz, Rüdiger, 2013. "The use of percentiles and percentile rank classes in the analysis of bibliometric data: Opportunities and limits," Journal of Informetrics, Elsevier, vol. 7(1), pages 158-165.
    18. Franceschini, Fiorenzo & Maisano, Domenico, 2011. "Structured evaluation of the scientific output of academic research groups by recent h-based indicators," Journal of Informetrics, Elsevier, vol. 5(1), pages 64-74.
    19. Zhou, Ping & Leydesdorff, Loet, 2011. "Fractional counting of citations in research evaluation: A cross- and interdisciplinary assessment of the Tsinghua University in Beijing," Journal of Informetrics, Elsevier, vol. 5(3), pages 360-368.
    20. Ludo Waltman & Nees Jan Eck & Thed N. Leeuwen & Martijn S. Visser & Anthony F. J. Raan, 2011. "Towards a new crown indicator: an empirical analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(3), pages 467-481, June.
    21. Lutz Bornmann & Alexander Tekles & Loet Leydesdorff, 2019. "How well does I3 perform for impact measurement compared to other bibliometric indicators? The convergent validity of several (field-normalized) indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 1187-1205, May.
    22. Mingers, John & Leydesdorff, Loet, 2015. "A review of theory and practice in scientometrics," European Journal of Operational Research, Elsevier, vol. 246(1), pages 1-19.
    23. Abramo, Giovanni & D’Angelo, Ciriaco Andrea, 2016. "A farewell to the MNCS and like size-independent indicators," Journal of Informetrics, Elsevier, vol. 10(2), pages 646-651.
    24. Hu, Zhigang & Tian, Wencan & Xu, Shenmeng & Zhang, Chunbo & Wang, Xianwen, 2018. "Four pitfalls in normalizing citation indicators: An investigation of ESI’s selection of highly cited papers," Journal of Informetrics, Elsevier, vol. 12(4), pages 1133-1145.
    25. Sabrina Petersohn & Thomas Heinze, 2018. "Professionalization of bibliometric research assessment. Insights from the history of the Leiden Centre for Science and Technology Studies (CWTS)," Science and Public Policy, Oxford University Press, vol. 45(4), pages 565-578.
    26. Zhou, Ping & Zhong, Yongfeng, 2012. "The citation-based indicator and combined impact indicator—New options for measuring impact," Journal of Informetrics, Elsevier, vol. 6(4), pages 631-638.
    27. Bornmann, Lutz & Leydesdorff, Loet & Wang, Jian, 2013. "Which percentile-based approach should be preferred for calculating normalized citation impact values? An empirical comparison of five approaches including a newly developed citation-rank approach (P1," Journal of Informetrics, Elsevier, vol. 7(4), pages 933-944.
    28. Herranz, Neus, 2012. "Sub-field normalization in the multiplicative case : average-based citation indicators," UC3M Working papers. Economics we1130, Universidad Carlos III de Madrid. Departamento de Economía.
    29. Rons, Nadine, 2012. "Partition-based Field Normalization: An approach to highly specialized publication records," Journal of Informetrics, Elsevier, vol. 6(1), pages 1-10.
    30. Abramo, Giovanni & D’Angelo, Ciriaco Andrea & Rosati, Francesco, 2013. "The importance of accounting for the number of co-authors and their order when assessing research performance at the individual level in the life sciences," Journal of Informetrics, Elsevier, vol. 7(1), pages 198-208.
    31. Thelwall, Mike, 2017. "Three practical field normalised alternative indicator formulae for research evaluation," Journal of Informetrics, Elsevier, vol. 11(1), pages 128-151.
    32. Larivière, Vincent & Gingras, Yves, 2011. "Averages of ratios vs. ratios of averages: An empirical analysis of four levels of aggregation," Journal of Informetrics, Elsevier, vol. 5(3), pages 392-399.
    33. Chi, Yuxue & Tang, Xianyi & Liu, Yijun, 2022. "Exploring the “awakening effect” in knowledge diffusion: a case study of publications in the library and information science domain," Journal of Informetrics, Elsevier, vol. 16(4).
    34. Colliander, Cristian & Ahlgren, Per, 2011. "The effects and their stability of field normalization baseline on relative performance with respect to citation impact: A case study of 20 natural science departments," Journal of Informetrics, Elsevier, vol. 5(1), pages 101-113.
    35. Pablo Dorta-González & María Isabel Dorta-González & Rafael Suárez-Vega, 2015. "An approach to the author citation potential: measures of scientific performance which are invariant across scientific fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1467-1496, February.
    36. Vinkler, Péter, 2012. "The case of scientometricians with the “absolute relative” impact indicator," Journal of Informetrics, Elsevier, vol. 6(2), pages 254-264.
    37. Waltman, Ludo, 2016. "A review of the literature on citation impact indicators," Journal of Informetrics, Elsevier, vol. 10(2), pages 365-391.
    38. Zhihui Zhang & Ying Cheng & Nian Cai Liu, 2014. "Comparison of the effect of mean-based method and z-score for field normalization of citations at the level of Web of Science subject categories," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(3), pages 1679-1693, December.
    39. Aksnes, Dag W. & Schneider, Jesper W. & Gunnarsson, Magnus, 2012. "Ranking national research systems by citation indicators. A comparative analysis using whole and fractionalised counting methods," Journal of Informetrics, Elsevier, vol. 6(1), pages 36-43.
    40. Aliakbar Akbaritabar & Niccolò Casnici & Flaminio Squazzoni, 2018. "The conundrum of research productivity: a study on sociologists in Italy," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(3), pages 859-882, March.
    41. Ping Zhou & Yongfeng Zhong & Meigen Yu, 2013. "A bibliometric investigation on China–UK collaboration in food and agriculture," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(2), pages 267-285, November.
    42. Frank Havemann & Birger Larsen, 2015. "Bibliometric indicators of young authors in astrophysics: Can later stars be predicted?," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1413-1434, February.
    43. Dunaiski, Marcel & Geldenhuys, Jaco & Visser, Willem, 2019. "Globalised vs averaged: Bias and ranking performance on the author level," Journal of Informetrics, Elsevier, vol. 13(1), pages 299-313.
    44. Giovanni Abramo & Ciriaco Andrea D’Angelo, 2014. "How do you define and measure research productivity?," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1129-1144, November.
    45. Loet Leydesdorff, 2012. "Alternatives to the journal impact factor: I3 and the top-10% (or top-25%?) of the most-highly cited papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(2), pages 355-365, August.
    46. José María Gómez-Sancho & María Jesús Mancebón-Torrubia, 2010. "A new approach to measuring scientific production in JCR journals and its application to Spanish public universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(1), pages 271-293, October.
    47. Loet Leydesdorff, 2013. "An evaluation of impacts in “Nanoscience & nanotechnology”: steps towards standards for citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(1), pages 35-55, January.
    48. P. Dorta-González & M. I. Dorta-González, 2013. "Comparing journals from different fields of science and social science through a JCR subject categories normalized impact factor," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(2), pages 645-672, May.
    49. Cerovšek, Tomo & Mikoš, Matjaž, 2014. "A comparative study of cross-domain research output and citations: Research impact cubes and binary citation frequencies," Journal of Informetrics, Elsevier, vol. 8(1), pages 147-161.
    50. Dag W. Aksnes & Liv Langfeldt & Paul Wouters, 2019. "Citations, Citation Indicators, and Research Quality: An Overview of Basic Concepts and Theories," SAGE Open, , vol. 9(1), pages 21582440198, February.
    51. Sjoerd Hardeman, 2013. "Organization level research in scientometrics: a plea for an explicit pragmatic approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(3), pages 1175-1194, March.
    52. Tahamtan, Iman & Bornmann, Lutz, 2018. "Creativity in science and the link to cited references: Is the creative potential of papers reflected in their cited references?," Journal of Informetrics, Elsevier, vol. 12(3), pages 906-930.
    53. Liwei Cai & Jiahao Tian & Jiaying Liu & Xiaomei Bai & Ivan Lee & Xiangjie Kong & Feng Xia, 2019. "Scholarly impact assessment: a survey of citation weighting solutions," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(2), pages 453-478, February.
    54. Egghe, L., 2012. "Averages of ratios compared to ratios of averages: Mathematical results," Journal of Informetrics, Elsevier, vol. 6(2), pages 307-317.
    55. Chen, Kuan-Ming & Jen, Tsung-Hau & Wu, Margaret, 2014. "Estimating the accuracies of journal impact factor through bootstrap," Journal of Informetrics, Elsevier, vol. 8(1), pages 181-196.
    56. Loet Leydesdorff & Tobias Opthof, 2012. "A rejoinder on energy versus impact indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(2), pages 745-748, February.
    57. Gangan Prathap, 2012. "The quality-quantity-quasity and energy-exergy-entropy exegesis of expected value calculation of citation performance," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(1), pages 269-275, April.
    58. Tobias Opthof & Loet Leydesdorff, 2011. "A comment to the paper by Waltman et al., Scientometrics, 87, 467–481, 2011," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(3), pages 1011-1016, September.
    59. Denis Bouyssou & Thierry Marchant, 2016. "Ranking authors using fractional counting of citations: An axiomatic approach," Post-Print hal-01397699, HAL.
    60. Pislyakov, Vladimir, 2022. "On some properties of medians, percentiles, baselines, and thresholds in empirical bibliometric analysis," Journal of Informetrics, Elsevier, vol. 16(4).

  144. Park, Han Woo & Leydesdorff, Loet, 2010. "Longitudinal trends in networks of university-industry-government relations in South Korea: The role of programmatic incentives," Research Policy, Elsevier, vol. 39(5), pages 640-649, June.

    Cited by:

    1. Xia Gao & Xi Guo & Jiancheng Guan, 2014. "An analysis of the patenting activities and collaboration among industry-university-research institutes in the Chinese ICT sector," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(1), pages 247-263, January.
    2. Hyeonchae Yang & Woo-Sung Jung, 2015. "A strategic management approach for Korean public research institutes based on bibliometric investigation," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(4), pages 1437-1464, July.
    3. Mohammed R. AlShareef & Ibrahim A. Alrammah & Nasser A. Alshoukani & Abdulaziz M. Almalik, 2023. "The impact of financial incentives on research production: Evidence from Saudi Arabia," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(5), pages 3067-3089, May.
    4. Michele O’Dwyer & Raffaele Filieri & Lisa O’Malley, 2023. "Establishing successful university–industry collaborations: barriers and enablers deconstructed," The Journal of Technology Transfer, Springer, vol. 48(3), pages 900-931, June.
    5. Mohammad S. Khorsheed, 2017. "Learning from Global Pacesetters to Build the Country Innovation Ecosystem," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 8(1), pages 177-196, March.
    6. Chan-Yuan Wong, 2013. "On a path to creative destruction: science, technology and science-based technological trajectories of Japan and South Korea," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(1), pages 323-336, July.
    7. Jong-Hyun Kim & Yong-Gil Lee, 2021. "Factors of Collaboration Affecting the Performance of Alternative Energy Patents in South Korea from 2010 to 2017," Sustainability, MDPI, vol. 13(18), pages 1-25, September.
    8. Md. Dulal Hossain & Junghoon Moon & Hyoung Goo Kang & Sung Chul Lee & Young Chan Choe, 2012. "Mapping the dynamics of knowledge base of innovations of R&D in Bangladesh: triple helix perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 57-83, January.
    9. Filippetti, Andrea & Savona, Maria, 2017. "University–industry linkages and academic engagements: individual behaviours and firms’ barriers. Introduction to the special section," LSE Research Online Documents on Economics 80070, London School of Economics and Political Science, LSE Library.
    10. Zhang, Yi & Chen, Kaihua & Fu, Xiaolan, 2019. "Scientific effects of Triple Helix interactions among research institutes, industries and universities," Technovation, Elsevier, vol. 86, pages 33-47.
    11. Natália Lima Figueiredo & Cristina I. Fernandes & José Luis Abrantes, 2023. "Triple Helix Model: Cooperation in Knowledge Creation," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 14(2), pages 854-878, June.
    12. Matthew A. Shapiro & Han Woo Park, 2012. "Regional development in South Korea: accounting for research area in centrality and networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 271-287, January.
    13. Valentina Meliciani & Daniela Cagno & Andrea Fabrizi & Marco Marini, 2022. "Knowledge networks in joint research projects, innovation and economic growth across European regions," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 68(3), pages 549-586, June.
    14. Susan Biancani & Daniel McFarland, 2013. "Social Networks Research in Higher Education," Voprosy obrazovaniya / Educational Studies Moscow, National Research University Higher School of Economics, issue 4, pages 85-126.
    15. Arif Mehmood & Byung-Won On & Ingyu Lee & Han Woo Park & Gyu Sang Choi, 2018. "Corroborating social media echelon in cancer research," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(2), pages 801-813, March.
    16. Pauline Debanes, 2018. "Layering the developmental state away?," Working Papers halshs-01800489, HAL.
    17. Jungwon Yoon, 2015. "The evolution of South Korea’s innovation system: moving towards the triple helix model?," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(1), pages 265-293, July.
    18. Song, Yang & Sahut, Jean-Michel & Zhang, Zhiyuan & Tian, Yifan & Hikkerova, Lubica, 2022. "The effects of government subsidies on the sustainable innovation of university-industry collaboration," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    19. Gohar Feroz Khan, 2013. "Social media-based systems: an emerging area of information systems research and practice," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(1), pages 159-180, April.
    20. Yi Zhang & Kaihua Chen & Guilong Zhu & Richard C. M. Yam & Jiancheng Guan, 2016. "Inter-organizational scientific collaborations and policy effects: an ego-network evolutionary perspective of the Chinese Academy of Sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(3), pages 1383-1415, September.
    21. Reischauer, Georg, 2018. "Industry 4.0 as policy-driven discourse to institutionalize innovation systems in manufacturing," Technological Forecasting and Social Change, Elsevier, vol. 132(C), pages 26-33.
    22. Hernández-Trasobares, Alejandro & Murillo-Luna, Josefina L., 2020. "The effect of triple helix cooperation on business innovation: The case of Spain," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    23. Lee, Young Hoon & Kim, YoungJun, 2016. "Analyzing interaction in R&D networks using the Triple Helix method: Evidence from industrial R&D programs in Korean government," Technological Forecasting and Social Change, Elsevier, vol. 110(C), pages 93-105.
    24. Joonha Jeon & So Young Kim, 2018. "Is the gap widening among universities? On research output inequality and its measurement in the Korean higher education system," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(2), pages 589-606, March.
    25. Loet Leydesdorff, 2012. "The Triple Helix, Quadruple Helix, …, and an N-Tuple of Helices: Explanatory Models for Analyzing the Knowledge-Based Economy?," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 3(1), pages 25-35, March.
    26. Sujin Choi & Joshua Yang & Han Park, 2015. "Quantifying the Triple Helix relationship in scientific research: statistical analyses on the dividing pattern between developed and developing countries," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(4), pages 1381-1396, July.
    27. Minjeong Kim & Han Woo Park, 2012. "Measuring Twitter-based political participation and deliberation in the South Korean context by using social network and Triple Helix indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 121-140, January.
    28. Tao Zhuang & Zhixia Zhou & Qingjun Li, 2021. "University‐industry‐government triple helix relationship and regional innovation efficiency in China," Growth and Change, Wiley Blackwell, vol. 52(1), pages 349-370, March.
    29. Yuandi Wang & Jian Li & Lutao Ning & Deming Zeng & Xin Gu, 2014. "Dynamic patterns of technology collaboration: a case study of the Chinese automobile industry, 1985–2010," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 663-683, October.
    30. Jungwon Yoon & Han Woo Park, 2017. "Triple helix dynamics of South Korea’s innovation system: a network analysis of inter-regional technological collaborations," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(3), pages 989-1007, May.
    31. Loet Leydesdorff & Han Woo Park & Balazs Lengyel, 2014. "A routine for measuring synergy in university–industry–government relations: mutual information as a Triple-Helix and Quadruple-Helix indicator," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 27-35, April.
    32. Martin Meyer & Kevin Grant & Piera Morlacchi & Dagmara Weckowska, 2014. "Triple Helix indicators as an emergent area of enquiry: a bibliometric perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 151-174, April.
    33. Lutao Ning & Dylan Sutherland & Xiaolan Fu, 2017. "Local context and innovation in China," Asian Business & Management, Palgrave Macmillan, vol. 16(3), pages 117-129, July.
    34. Ahn, Sang-Jin, 2020. "Three characteristics of technology competition by IoT-driven digitization," Technological Forecasting and Social Change, Elsevier, vol. 157(C).
    35. Farshad Momeni & Ali Arab Mazar Yazdi & Seyed Mohammad Sajjad Najafi, 2019. "Changing economic systems and institutional dimensions of the Triple Helix model," Journal of Innovation and Entrepreneurship, Springer, vol. 8(1), pages 1-12, December.
    36. Yangson Kim & Hee Jin Lim & Soo Jeung Lee, 2014. "Applying research collaboration as a new way of measuring research performance in Korean universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 97-115, April.
    37. Zhang, Yi & Chen, Kaihua, 2022. "Network growth dynamics: The simultaneous interaction between network positions and research performance of collaborative organisations," Technovation, Elsevier, vol. 115(C).
    38. Tao, Zhuang & Shuliang, Zhao, 2022. "Collaborative innovation relationship in Yangtze River Delta of China: Subjects collaboration and spatial correlation," Technology in Society, Elsevier, vol. 69(C).
    39. Noriko Yoda & Kenichi Kuwashima, 2020. "Triple Helix of University–Industry–Government Relations in Japan: Transitions of Collaborations and Interactions," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 11(3), pages 1120-1144, September.
    40. Ssu-Han Chen & Mu-Hsuan Huang & Dar-Zen Chen, 2013. "Driving factors of external funding and funding effects on academic innovation performance in university–industry–government linkages," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(3), pages 1077-1098, March.
    41. Han Woo Park, 2014. "An interview with Loet Leydesdorff: the past, present, and future of the triple helix in the age of big data," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 199-202, April.
    42. Huang, Mu-Hsuan & Chang, Yu-Wei, 2018. "Multi-institutional authorship in genetics and high-energy physics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 505(C), pages 549-558.
    43. Leonid Gokhberg & Ilya Kuzminov & Pavel Bakhtin & Elena Tochilina & Alexander Chulok & Anton Timofeev & Alina Lavrinenko, 2017. "Big-Data-Augmented Approach to Emerging Technologies Identification: Case of Agriculture and Food Sector," HSE Working papers WP BRP 76/STI/2017, National Research University Higher School of Economics.
    44. Kamilla Kohn Rådberg & Hans Löfsten, 2024. "The entrepreneurial university and development of large-scale research infrastructure: exploring the emerging university function of collaboration and leadership," The Journal of Technology Transfer, Springer, vol. 49(1), pages 334-366, February.
    45. Sujin Choi, 2012. "Core-periphery, new clusters, or rising stars?: international scientific collaboration among ‘advanced’ countries in the era of globalization," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 25-41, January.
    46. Chen, Kaihua & Zhang, Yi & Zhu, Guilong & Mu, Rongping, 2020. "Do research institutes benefit from their network positions in research collaboration networks with industries or/and universities?," Technovation, Elsevier, vol. 94.
    47. Sujin Choi & Ji-young Park & Han Woo Park, 2012. "Using social media data to explore communication processes within South Korean online innovation communities," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 43-56, January.
    48. George A. Barnett & Han Woo Park & Ke Jiang & Chuan Tang & Isidro F. Aguillo, 2014. "A multi-level network analysis of web-citations among the world’s universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 5-26, April.
    49. Holger Graf & Martin Kalthaus, 2016. "International Research Networks: Determinants of Country Embeddedness," Jena Economics Research Papers 2016-016, Friedrich-Schiller-University Jena.
    50. Jung Cheol Shin & Soo Jeung Lee & Yangson Kim, 2012. "Knowledge-based innovation and collaboration: a triple-helix approach in Saudi Arabia," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 311-326, January.
    51. Pieter Stek & Marina Geenhuizen, 2015. "Measuring the dynamics of an innovation system using patent data: a case study of South Korea, 2001–2010," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(4), pages 1325-1343, July.
    52. Han Woo Park, 2014. "Mapping election campaigns through negative entropy: Triple and Quadruple Helix approach to South Korea’s 2012 presidential election," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 187-197, April.
    53. Chung Joo Chung, 2014. "An analysis of the status of the Triple Helix and university–industry–government relationships in Asia," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 139-149, April.
    54. Ki-Seok Kwon & Han Woo Park & Minho So & Loet Leydesdorff, 2012. "Has globalization strengthened South Korea’s national research system? National and international dynamics of the Triple Helix of scientific co-authorship relationships in South Korea," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 163-176, January.
    55. Pieter E. Stek, 2020. "Mapping high R&D city-regions worldwide: a patent heat map approach," Quality & Quantity: International Journal of Methodology, Springer, vol. 54(1), pages 279-296, February.
    56. Carla Mascarenhas & Carla Marques & João J. Ferreira, 2020. "One for All and All for One: Collaboration and Cooperation in Triple Helix Knowledge Cocreation," International Regional Science Review, , vol. 43(4), pages 316-343, July.
    57. Arif Mehmood & Gyu Sang Choi & Otto F. Feigenblatt & Han Woo Park, 2016. "Proving ground for social network analysis in the emerging research area “Internet of Things” (IoT)," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(1), pages 185-201, October.
    58. Loet Leydesdorff & Ping Zhou, 2014. "Measuring the knowledge-based economy of China in terms of synergy among technological, organizational, and geographic attributes of firms," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1703-1719, March.
    59. Weimin Kang & Shuliang Zhao & Wei Song & Tao Zhuang, 2019. "Triple helix in the science and technology innovation centers of China from the perspective of mutual information: a comparative study between Beijing and Shanghai," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 921-940, March.
    60. Arranz, Nieves & Arroyabe, Marta F. & Schumann, Martin, 2020. "The role of NPOs and international actors in the national innovation system: A network-based approach," Technological Forecasting and Social Change, Elsevier, vol. 159(C).
    61. Gohar Feroz Khan & Seong Eun Cho & Han Woo Park, 2012. "A comparison of the Daegu and Edinburgh musical industries: a triple helix approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 85-99, January.
    62. Yongrae Cho & Wonjoon Kim, 2014. "Technology–industry networks in technology commercialization: evidence from Korean university patents," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1785-1810, March.
    63. Park, Han Woo & Leydesdorff, Loet, 2013. "Decomposing social and semantic networks in emerging “big data” research," Journal of Informetrics, Elsevier, vol. 7(3), pages 756-765.
    64. Loet Leydesdorff, 2013. "Statistics for the dynamic analysis of scientometric data: the evolution of the sciences in terms of trajectories and regimes," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(3), pages 731-741, September.
    65. Han Woo Park & Jungwon Yoon & Loet Leydesdorff, 2016. "The normalization of co-authorship networks in the bibliometric evaluation: the government stimulation programs of China and Korea," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 1017-1036, November.
    66. Milica Jovanović & Gordana Savić & Yuzhuo Cai & Maja Levi-Jakšić, 2022. "Towards a Triple Helix based efficiency index of innovation systems," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(5), pages 2577-2609, May.
    67. Bobby Swar & Gohar Feroz Khan, 2014. "Mapping ICT knowledge infrastructure in South Asia," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 117-137, April.
    68. Mu-Hsuan Huang & Hsiao-Wen Yang & Dar-Zen Chen, 2015. "Industry–academia collaboration in fuel cells: a perspective from paper and patent analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(2), pages 1301-1318, November.
    69. Porto-Gomez, Igone & Zabala-Iturriagagoitia, Jon Mikel & Leydesdorff, Loet, 2019. "Innovation systems in México: A matter of missing synergies," Technological Forecasting and Social Change, Elsevier, vol. 148(C).

  145. Loet Leydesdorff & Martin Meyer, 2010. "The decline of university patenting and the end of the Bayh–Dole effect," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(2), pages 355-362, May.

    Cited by:

    1. Xia Gao & Xi Guo & Jiancheng Guan, 2014. "An analysis of the patenting activities and collaboration among industry-university-research institutes in the Chinese ICT sector," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(1), pages 247-263, January.
    2. David Minguillo & Mike Thelwall, 2015. "Which are the best innovation support infrastructures for universities? Evidence from R&D output and commercial activities," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 1057-1081, January.
    3. Alireza Noruzi & Mohammadhiwa Abdekhoda, 2012. "Mapping Iranian patents based on International Patent Classification (IPC), from 1976 to 2011," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(3), pages 847-856, December.
    4. Zhang, Yi & Chen, Kaihua & Fu, Xiaolan, 2019. "Scientific effects of Triple Helix interactions among research institutes, industries and universities," Technovation, Elsevier, vol. 86, pages 33-47.
    5. Hyejin Jung & Byung-Keun Kim, 2018. "Determinant factors of university spin-off: the case of Korea," The Journal of Technology Transfer, Springer, vol. 43(6), pages 1631-1646, December.
    6. Loet Leydesdorff & Martin Meyer, 2013. "A reply to Etzkowitz’ comments to Leydesdorff and Martin (2010): technology transfer and the end of the Bayh–Dole effect," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(3), pages 927-934, December.
    7. Domingo Sifontes & Rosa Morales, 2020. "Gender differences and patenting in Latin America: understanding female participation in commercial science," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2009-2036, September.
    8. Loet Leydesdorff & Duncan Kushnir & Ismael Rafols, 2014. "Interactive overlay maps for US patent (USPTO) data based on International Patent Classification (IPC)," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1583-1599, March.
    9. Ruoying Zhou & Ning Baines, 2024. "To what extent do universities’ formal and informal knowledge exchange activities interact: evidence from UK HE-BCI survey," The Journal of Technology Transfer, Springer, vol. 49(4), pages 1145-1175, August.
    10. Chávez-Bustamante, Felipe & Rojas-Mora, Julio & Wong, Sulan, 2024. "Balancing act: Navigating the tensions between patenting practices and open science in Chilean academic research," Technology in Society, Elsevier, vol. 77(C).
    11. Ятлук Л. Ю., 2020. "Стратегии И Тактики Адаптации Ученых В Условиях Перехода К Предпринимательскому Университету," Вопросы образования // Educational Studies Moscow, National Research University Higher School of Economics, issue 4, pages 165-192.
    12. Hülya Ünlü & Serdal Temel & Kristel Miller, 2023. "Understanding the drivers of patent performance of University Science Parks in Turkey," The Journal of Technology Transfer, Springer, vol. 48(3), pages 842-872, June.
    13. Suominen, Arho & Deschryvere, Matthias & Narayan, Rumy, 2023. "Uncovering value through exploration of barriers - A perspective on intellectual property rights in a national innovation system," Technovation, Elsevier, vol. 123(C).
    14. Laxmi Prasad Pant, 2019. "Responsible innovation through conscious contestation at the interface of agricultural science, policy, and civil society," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 36(2), pages 183-197, June.
    15. Lidia Yatluk, 2020. "Strategies and Tactics of Academics in the Context of Transition toward the Entrepreneurial University," Voprosy obrazovaniya / Educational Studies Moscow, National Research University Higher School of Economics, issue 4, pages 165-192.
    16. MOTOHASHI Kazuyuki & MURAMATSU Shingo, 2011. "Examining the University Industry Collaboration Policy in Japan: Patent analysis," Discussion papers 11008, Research Institute of Economy, Trade and Industry (RIETI).
    17. Thomas Walter & Christoph Ihl & René Mauer & Malte Brettel, 2018. "Grace, gold, or glory? Exploring incentives for invention disclosure in the university context," The Journal of Technology Transfer, Springer, vol. 43(6), pages 1725-1759, December.
    18. Yong-Gil Lee, 2012. "Strengthening competency linkage to innovation at Korean universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 219-230, January.
    19. Henry Etzkowitz, 2013. "Mistaking dawn for dusk: quantophrenia and the cult of numerology in technology transfer analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(3), pages 913-925, December.
    20. Dalmarco, Gustavo & Hulsink, Willem & Blois, Guilherme V., 2018. "Creating entrepreneurial universities in an emerging economy: Evidence from Brazil," Technological Forecasting and Social Change, Elsevier, vol. 135(C), pages 99-111.
    21. Liming Liang & Lixin Chen & Yishan Wu & Junpeng Yuan, 2012. "The role of Chinese universities in enterprise–university research collaboration," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 253-269, January.
    22. Hong Gong & Shan Peng, 2018. "Effects of patent policy on innovation outputs and commercialization: evidence from universities in China," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(2), pages 687-703, November.
    23. Elvira Cerver Romero & João J. M. Ferreira & Cristina I. Fernandes, 2021. "The multiple faces of the entrepreneurial university: a review of the prevailing theoretical approaches," The Journal of Technology Transfer, Springer, vol. 46(4), pages 1173-1195, August.

  146. Loet Leydesdorff & Tobias Opthof, 2010. "Scopus's source normalized impact per paper (SNIP) versus a journal impact factor based on fractional counting of citations," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(11), pages 2365-2369, November.

    Cited by:

    1. A. Ferrer-Sapena & E. A. Sánchez-Pérez & L. M. González & F. Peset & R. Aleixandre-Benavent, 2015. "Mathematical properties of weighted impact factors based on measures of prestige of the citing journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 2089-2108, December.
    2. Bornmann, Lutz & Haunschild, Robin, 2016. "Normalization of Mendeley reader impact on the reader- and paper-side: A comparison of the mean discipline normalized reader score (MDNRS) with the mean normalized reader score (MNRS) and bare reader ," Journal of Informetrics, Elsevier, vol. 10(3), pages 776-788.
    3. Liu, Qiuling & Guo, Lei & Sun, Yiping & Ren, Linlin & Wang, Xinhua & Han, Xiaohui, 2024. "Do scholars' collaborative tendencies impact the quality of their publications? A generalized propensity score matching analysis," Journal of Informetrics, Elsevier, vol. 18(1).
    4. Lando, Tommaso & Bertoli-Barsotti, Lucio, 2017. "Measuring the citation impact of journals with generalized Lorenz curves," Journal of Informetrics, Elsevier, vol. 11(3), pages 689-703.
    5. John Mingers & Martin Meyer, 2017. "Normalizing Google Scholar data for use in research evaluation," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(2), pages 1111-1121, August.
    6. Hui Fang, 2020. "Investigating the journal impact along the columns and rows of the publication-citation matrix," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2265-2282, December.
    7. Peter Sjögårde & Fereshteh Didegah, 2022. "The association between topic growth and citation impact of research publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(4), pages 1903-1921, April.
    8. Guan, Jiancheng & Yan, Yan & Zhang, Jing Jing, 2017. "The impact of collaboration and knowledge networks on citations," Journal of Informetrics, Elsevier, vol. 11(2), pages 407-422.
    9. Raminta Pranckutė, 2021. "Web of Science (WoS) and Scopus: The Titans of Bibliographic Information in Today’s Academic World," Publications, MDPI, vol. 9(1), pages 1-59, March.
    10. Zhou, Ping & Leydesdorff, Loet, 2011. "Fractional counting of citations in research evaluation: A cross- and interdisciplinary assessment of the Tsinghua University in Beijing," Journal of Informetrics, Elsevier, vol. 5(3), pages 360-368.
    11. Wang, Xing & Zhang, Zhihui, 2020. "Improving the reliability of short-term citation impact indicators by taking into account the correlation between short- and long-term citation impact," Journal of Informetrics, Elsevier, vol. 14(2).
    12. Stefan N. Groesser, 2012. "Dynamics of Journal Impact Factors," Systems Research and Behavioral Science, Wiley Blackwell, vol. 29(6), pages 624-644, November.
    13. David I. Stern, 2013. "Uncertainty Measures for Economics Journal Impact Factors," Crawford School Research Papers 1302, Crawford School of Public Policy, The Australian National University.
    14. Ludo Waltman & Nees Jan Eck, 2013. "Source normalized indicators of citation impact: an overview of different approaches and an empirical comparison," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(3), pages 699-716, September.
    15. Secundo, Giustina & Ndou, Valentina & Vecchio, Pasquale Del & De Pascale, Gianluigi, 2020. "Sustainable development, intellectual capital and technology policies: A structured literature review and future research agenda," Technological Forecasting and Social Change, Elsevier, vol. 153(C).
    16. Mingers, John & Leydesdorff, Loet, 2015. "A review of theory and practice in scientometrics," European Journal of Operational Research, Elsevier, vol. 246(1), pages 1-19.
    17. Jerome K. Vanclay, 2012. "Impact factor: outdated artefact or stepping-stone to journal certification?," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(2), pages 211-238, August.
    18. Nicolás Robinson-García & Clara Calero-Medina, 2014. "What do university rankings by fields rank? Exploring discrepancies between the organizational structure of universities and bibliometric classifications," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1955-1970, March.
    19. Lehmann, Robert & Wohlrabe, Klaus, 2017. "Who is the 'Journal Grand Master'? A new ranking based on the Elo rating system," MPRA Paper 77363, University Library of Munich, Germany.
    20. Henk F. Moed, 2016. "Comprehensive indicator comparisons intelligible to non-experts: the case of two SNIP versions," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(1), pages 51-65, January.
    21. Bornmann, Lutz & Haunschild, Robin, 2016. "Citation score normalized by cited references (CSNCR): The introduction of a new citation impact indicator," Journal of Informetrics, Elsevier, vol. 10(3), pages 875-887.
    22. Waltman, Ludo & van Eck, Nees Jan, 2015. "Field-normalized citation impact indicators and the choice of an appropriate counting method," Journal of Informetrics, Elsevier, vol. 9(4), pages 872-894.
    23. Mutz, Rüdiger & Daniel, Hans-Dieter, 2012. "Skewed citation distributions and bias factors: Solutions to two core problems with the journal impact factor," Journal of Informetrics, Elsevier, vol. 6(2), pages 169-176.
    24. Wolfgang Glänzel & Henk F. Moed, 2013. "Opinion paper: thoughts and facts on bibliometric indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(1), pages 381-394, July.
    25. Cristiano Varin & Manuela Cattelan & David Firth, 2016. "Statistical modelling of citation exchange between statistics journals," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 179(1), pages 1-63, January.
    26. Mingkun Wei, 2020. "Research on impact evaluation of open access journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(2), pages 1027-1049, February.
    27. J. M. Calabuig & A. Ferrer-Sapena & E. A. Sánchez-Pérez, 2016. "Vector-valued impact measures and generation of specific indexes for research assessment," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(3), pages 1425-1443, September.
    28. Miguel Cruz, Antonio & Maria Rios Rincon, Adriana, 2012. "Medical device maintenance outsourcing: Have operation management research and management theories forgotten the medical engineering community? A mapping review," European Journal of Operational Research, Elsevier, vol. 221(1), pages 186-197.
    29. Loet Leydesdorff & Ping Zhou & Lutz Bornmann, 2013. "How can journal impact factors be normalized across fields of science? An assessment in terms of percentile ranks and fractional counts," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(1), pages 96-107, January.
    30. Wolfgang Glänzel & András Schubert & Bart Thijs & Koenraad Debackere, 2011. "A priori vs. a posteriori normalisation of citation indicators. The case of journal ranking," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(2), pages 415-424, May.
    31. Hiran H. Lathabai & Thara Prabhakaran, 2023. "Contextual Ψ-index and its estimate for contextual productivity assessment," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(8), pages 4875-4886, August.
    32. Seiler, Christian & Wohlrabe, Klaus, 2014. "How robust are journal rankings based on the impact factor? Evidence from the economic sciences," Journal of Informetrics, Elsevier, vol. 8(4), pages 904-911.
    33. Michel Zitt, 2012. "The journal impact factor: angel, devil, or scapegoat? A comment on J.K. Vanclay’s article 2011," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(2), pages 485-503, August.
    34. Waltman, Ludo & van Eck, Nees Jan & van Leeuwen, Thed N. & Visser, Martijn S., 2013. "Some modifications to the SNIP journal impact indicator," Journal of Informetrics, Elsevier, vol. 7(2), pages 272-285.
    35. Aleksandra Bączkiewicz & Jakub Dagil & Bartłomiej Kizielewicz & Karol Urbaniak & Wojciech Sałabun, 2020. "Is the Distribution of Research Grants Sustainable? An Empirical Study of Grant Assessment," Sustainability, MDPI, vol. 12(17), pages 1-59, August.
    36. Saarela, Mirka & Kärkkäinen, Tommi, 2020. "Can we automate expert-based journal rankings? Analysis of the Finnish publication indicator," Journal of Informetrics, Elsevier, vol. 14(2).
    37. Waltman, Ludo, 2016. "A review of the literature on citation impact indicators," Journal of Informetrics, Elsevier, vol. 10(2), pages 365-391.
    38. Aksnes, Dag W. & Schneider, Jesper W. & Gunnarsson, Magnus, 2012. "Ranking national research systems by citation indicators. A comparative analysis using whole and fractionalised counting methods," Journal of Informetrics, Elsevier, vol. 6(1), pages 36-43.
    39. Lucio Bertoli-Barsotti & Tommaso Lando, 2017. "A theoretical model of the relationship between the h-index and other simple citation indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1415-1448, June.
    40. Mingers, John & Yang, Liying, 2017. "Evaluating journal quality: A review of journal citation indicators and ranking in business and management," European Journal of Operational Research, Elsevier, vol. 257(1), pages 323-337.
    41. Dengsheng Wu & Huidong Wu & Jianping Li, 2024. "Citation advantage of positive words: predictability, temporal evolution, and universality in varied quality journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(7), pages 4275-4293, July.
    42. Waltman, Ludo & van Eck, Nees Jan, 2013. "A systematic empirical comparison of different approaches for normalizing citation impact indicators," Journal of Informetrics, Elsevier, vol. 7(4), pages 833-849.
    43. Dašić Predrag, 2015. "State and Analysis of Scientific Journals in the Field of “Economic Sciences” for the Period 1995-2014," Economic Themes, Sciendo, vol. 53(4), pages 547-581, December.
    44. Regina Negri Pagani & Bruno Pedroso & Celso Bilynkievycz Santos & Claudia Tania Picinin & João Luiz Kovaleski, 2023. "Methodi Ordinatio 2.0: revisited under statistical estimation, and presenting FInder and RankIn," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(5), pages 4563-4602, October.
    45. Loet Leydesdorff, 2012. "Alternatives to the journal impact factor: I3 and the top-10% (or top-25%?) of the most-highly cited papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(2), pages 355-365, August.
    46. M. Zitt, 2011. "Behind citing-side normalization of citations: some properties of the journal impact factor," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(1), pages 329-344, October.
    47. Gagolewski, Marek & Mesiar, Radko, 2012. "Aggregating different paper quality measures with a generalized h-index," Journal of Informetrics, Elsevier, vol. 6(4), pages 566-579.
    48. Chien Hsiang Liao & Mu-Yen Chen, 2018. "Exploring knowledge patterns of library and information science journals within the field: a citation analysis from 2009 to 2016," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(3), pages 1991-2008, December.
    49. Loet Leydesdorff, 2013. "An evaluation of impacts in “Nanoscience & nanotechnology”: steps towards standards for citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(1), pages 35-55, January.
    50. Edmilson J. T. Manganote & Peter A. Schulz & Carlos Henrique Brito Cruz, 2016. "Effect of high energy physics large collaborations on higher education institutions citations and rankings," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 813-826, November.
    51. P. Dorta-González & M. I. Dorta-González, 2013. "Comparing journals from different fields of science and social science through a JCR subject categories normalized impact factor," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(2), pages 645-672, May.
    52. Ennas, Gianfranco & Di Guardo, Maria Chiara, 2015. "Features of top-rated gold open access journals: An analysis of the scopus database," Journal of Informetrics, Elsevier, vol. 9(1), pages 79-89.
    53. Tolga Yuret, 2018. "Author-weighted impact factor and reference return ratio: can we attain more equality among fields?," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(3), pages 2097-2111, September.
    54. Loet Leydesdorff & Tobias Opthof, 2012. "A rejoinder on energy versus impact indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(2), pages 745-748, February.
    55. Hamid Bouabid, 2014. "Science and technology metrics for research policy evaluation: some insights from a Moroccan experience," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 899-915, October.
    56. Denis Bouyssou & Thierry Marchant, 2016. "Ranking authors using fractional counting of citations: An axiomatic approach," Post-Print hal-01397699, HAL.
    57. Pilar Valderrama & Manuel Escabias & Evaristo Jiménez-Contreras & Alberto Rodríguez-Archilla & Mariano J. Valderrama, 2018. "Proposal of a stochastic model to determine the bibliometric variables influencing the quality of a journal: application to the field of Dentistry," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(2), pages 1087-1095, May.

  147. Wilfred Dolfsma & Loet Leydesdorff, 2010. "The citation field of evolutionary economics," Journal of Evolutionary Economics, Springer, vol. 20(5), pages 645-664, October.

    Cited by:

    1. Ehrenfeld, Wilfried, 2012. "Towards a Theory of Climate Innovation - A Model Framework for Analyzing Drivers and Determinants," IWH Discussion Papers 1/2012, Halle Institute for Economic Research (IWH).
    2. Luciano Ferreira Silva & Arnoldo José Hoyos Guevara & Ernesto D. R. Santibanez Gonzalez & Paulo Sergio Gonçalves Oliveira, 2019. "Evolution toward environment sustainable behavior: search for survival in the plastic industry in Brazil," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 21(3), pages 1291-1320, June.
    3. Chan, Ho Fai & Frey, Bruno S. & Gallus, Jana & Torgler, Benno, 2014. "Academic honors and performance," Labour Economics, Elsevier, vol. 31(C), pages 188-204.
    4. Hui Dong & Dan Luo & Xudong Zeng & Zhentao Zou, 2023. "Cross‐affiliation collaboration and power laws for research output of institutions: Evidence and theory from top three finance journals," International Studies of Economics, John Wiley & Sons, vol. 18(4), pages 502-526, December.
    5. Andrikopoulos, Andreas & Trichas, Georgios, 2018. "Publication patterns and coauthorship in the Journal of Corporate Finance," Journal of Corporate Finance, Elsevier, vol. 51(C), pages 98-108.
    6. Geoffrey M. Hodgson & Juha-Antti Lamberg, 2018. "The past and future of evolutionary economics: some reflections based on new bibliometric evidence," Evolutionary and Institutional Economics Review, Springer, vol. 15(1), pages 167-187, June.
    7. Kurt Dopfer, 2011. "Economics in a Cultural Key: Complexity and Evolution Revisited," Chapters, in: John B. Davis & D. Wade Hands (ed.), The Elgar Companion to Recent Economic Methodology, chapter 14, Edward Elgar Publishing.

  148. Ismael Rafols & Alan L. Porter & Loet Leydesdorff, 2010. "Science overlay maps: A new tool for research policy and library management," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(9), pages 1871-1887, September.

    Cited by:

    1. Stephen Carley & Alan L. Porter, 2012. "A forward diversity index," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(2), pages 407-427, February.
    2. Hamid R. Jamali & Ghasem Azadi-Ahmadabadi & Saeid Asadi, 2018. "Interdisciplinary relations of converging technologies: Nano–Bio–Info–Cogno (NBIC)," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(2), pages 1055-1073, August.
    3. Yanto Chandra, 2018. "Mapping the evolution of entrepreneurship as a field of research (1990–2013): A scientometric analysis," PLOS ONE, Public Library of Science, vol. 13(1), pages 1-24, January.
    4. Yang, Chao & Huang, Cui & Su, Jun, 2018. "An improved SAO network-based method for technology trend analysis: A case study of graphene," Journal of Informetrics, Elsevier, vol. 12(1), pages 271-286.
    5. Diego Chavarro & Puay Tang & Ismael Rafols, 2014. "Interdisciplinarity and research on local issues: evidence from a developing country," Research Evaluation, Oxford University Press, vol. 23(3), pages 195-209.
    6. Wallace, Matthew L. & Ràfols, Ismael, 2018. "Institutional shaping of research priorities: A case study on avian influenza," Research Policy, Elsevier, vol. 47(10), pages 1975-1989.
    7. Tuba Bircan & Almila Alkim Akdag Salah, 2022. "A Bibliometric Analysis of the Use of Artificial Intelligence Technologies for Social Sciences," Mathematics, MDPI, vol. 10(23), pages 1-17, November.
    8. Loet Leydesdorff & Gaston Heimeriks & Daniele Rotolo, 2015. "Journal Portfolio Analysis for Countries, Cities, and Organizations: Maps and Comparisons?," SPRU Working Paper Series 2015-11, SPRU - Science Policy Research Unit, University of Sussex Business School.
    9. Shiji Chen & Clément Arsenault & Yves Gingras & Vincent Larivière, 2015. "Exploring the interdisciplinary evolution of a discipline: the case of Biochemistry and Molecular Biology," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1307-1323, February.
    10. Dengsheng Wu & Xiaoli Lu & Jianping Li & Jing Li, 2020. "Does the institutional diversity of editorial boards increase journal quality? The case economics field," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1579-1597, August.
    11. Seongkyoon Jeong & Jong-Chan Kim & Jae Young Choi, 2015. "Technology convergence: What developmental stage are we in?," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(3), pages 841-871, September.
    12. Lyu, Haihua & Bu, Yi & Zhao, Zhenyue & Zhang, Jiarong & Li, Jiang, 2022. "Citation bias in measuring knowledge flow: Evidence from the web of science at the discipline level," Journal of Informetrics, Elsevier, vol. 16(4).
    13. Seokbeom Kwon & Alan Porter & Jan Youtie, 2016. "Navigating the innovation trajectories of technology by combining specialization score analyses for publications and patents: graphene and nano-enabled drug delivery," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(3), pages 1057-1071, March.
    14. Thara Prabhakaran & Hiran H. Lathabai & Susan George, 2019. "Competing, complementary and co-existing paradigms in techno-scientific literature: A case study of Nanotechnology for engineering," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 941-977, March.
    15. Lin Zhang & Wenjing Zhao & Beibei Sun & Ying Huang & Wolfgang Glänzel, 2020. "How scientific research reacts to international public health emergencies: a global analysis of response patterns," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 747-773, July.
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    14. Lee, Young Hoon & Kim, YoungJun, 2016. "Analyzing interaction in R&D networks using the Triple Helix method: Evidence from industrial R&D programs in Korean government," Technological Forecasting and Social Change, Elsevier, vol. 110(C), pages 93-105.
    15. Stek, Pieter E. & van Geenhuizen, Marina S., 2016. "The influence of international research interaction on national innovation performance: A bibliometric approach," Technological Forecasting and Social Change, Elsevier, vol. 110(C), pages 61-70.
    16. Thai Thi Minh & Carsten Nico Hjotrsø, 2015. "Relational dynamics in the multi-helices knowledge production system: A new institutionalism perspective," Globelics Working Paper Series 2015-08, Globelics - Global Network for Economics of Learning, Innovation, and Competence Building Systems, Aalborg University, Department of Business and Management.
    17. Xia Fan & Xiaowan Yang & Liming Chen, 2015. "Diversified resources and academic influence: patterns of university–industry collaboration in Chinese research-oriented universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(2), pages 489-509, August.
    18. Loet Leydesdorff, 2012. "The Triple Helix, Quadruple Helix, …, and an N-Tuple of Helices: Explanatory Models for Analyzing the Knowledge-Based Economy?," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 3(1), pages 25-35, March.
    19. Sujin Choi & Joshua Yang & Han Park, 2015. "Quantifying the Triple Helix relationship in scientific research: statistical analyses on the dividing pattern between developed and developing countries," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(4), pages 1381-1396, July.
    20. Mêgnigbêto, Eustache, 2018. "Modelling the Triple Helix of university-industry-government relationships with game theory: Core, Shapley value and nucleolus as indicators of synergy within an innovation system," Journal of Informetrics, Elsevier, vol. 12(4), pages 1118-1132.
    21. Xiaojun Hu & Xian Li & Ronald Rousseau, 2021. "Mathematical reflections on Triple Helix calculations," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(10), pages 8581-8587, October.
    22. Inga A. Ivanova & Loet Leydesdorff, 2014. "A simulation model of the Triple Helix of university–industry–government relations and the decomposition of the redundancy," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(3), pages 927-948, June.
    23. Loet Leydesdorff & Han Woo Park & Balazs Lengyel, 2014. "A routine for measuring synergy in university–industry–government relations: mutual information as a Triple-Helix and Quadruple-Helix indicator," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 27-35, April.
    24. Martin Meyer & Kevin Grant & Piera Morlacchi & Dagmara Weckowska, 2014. "Triple Helix indicators as an emergent area of enquiry: a bibliometric perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 151-174, April.
    25. Farshad Momeni & Ali Arab Mazar Yazdi & Seyed Mohammad Sajjad Najafi, 2019. "Changing economic systems and institutional dimensions of the Triple Helix model," Journal of Innovation and Entrepreneurship, Springer, vol. 8(1), pages 1-12, December.
    26. Lucio-Arias, Diana & Leydesdorff, Loet, 2009. "The dynamics of exchanges and references among scientific texts, and the autopoiesis of discursive knowledge," Journal of Informetrics, Elsevier, vol. 3(3), pages 261-271.
    27. Loet Leydesdorff & Martin Meyer, 2010. "The decline of university patenting and the end of the Bayh–Dole effect," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(2), pages 355-362, May.
    28. Kamal Badar & Julie M. Hite & Yuosre F. Badir, 2013. "Examining the relationship of co-authorship network centrality and gender on academic research performance: the case of chemistry researchers in Pakistan," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(2), pages 755-775, February.
    29. Yi, Sæung-gyu & Jun, Bogang, 2016. "Has the German reunification strengthened Germany's national innovation system? Triple helix dynamics of Germany's innovation system," Hohenheim Discussion Papers in Business, Economics and Social Sciences 15-2016, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
    30. Inga Ivanova & Oivind Strand & Loet Leydesdorff, 2019. "The Synergy and Cycle Values in Regional Innovation Systems: The Case of Norway," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 13(1), pages 48-61.
    31. Noriko Yoda & Kenichi Kuwashima, 2020. "Triple Helix of University–Industry–Government Relations in Japan: Transitions of Collaborations and Interactions," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 11(3), pages 1120-1144, September.
    32. Swapan Kumar Patra & Mammo Muchie, 2018. "Research and innovation in South African universities: from the triple helix’s perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 51-76, July.
    33. Mêgnigbêto, Eustache, 2014. "Efficiency, unused capacity and transmission power as indicators of the Triple Helix of university–industry–government relationships," Journal of Informetrics, Elsevier, vol. 8(1), pages 284-294.
    34. Ssu-Han Chen & Mu-Hsuan Huang & Dar-Zen Chen, 2013. "Driving factors of external funding and funding effects on academic innovation performance in university–industry–government linkages," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(3), pages 1077-1098, March.
    35. Loet Leydesdorff, 2011. "“Structuration” by intellectual organization: the configuration of knowledge in relations among structural components in networks of science," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(2), pages 499-520, August.
    36. Lengyel, Balázs & Leydesdorff, Loet, 2015. "The Effects of FDI on Innovation Systems in Hungarian Regions: Where is the Synergy Generated?," MPRA Paper 73945, University Library of Munich, Germany.
    37. Madhav Govind & Merle Küttim, 2016. "International Knowledge Transfer from University to Industry: A Systematic Literature Review," Research in Economics and Business: Central and Eastern Europe, Tallinn School of Economics and Business Administration, Tallinn University of Technology, vol. 8(2).
    38. Jungwon Yoon & Joshua SungWoo Yang & Han Woo Park, 2017. "Quintuple helix structure of Sino-Korean research collaboration in science," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(1), pages 61-81, October.
    39. Anna Sworowska-Baranowska, 2021. "Science-Nonscience Research Partnership in Poland," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 3), pages 96-113.
    40. Jung Cheol Shin & Soo Jeung Lee & Yangson Kim, 2012. "Knowledge-based innovation and collaboration: a triple-helix approach in Saudi Arabia," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 311-326, January.
    41. Pieter Stek & Marina Geenhuizen, 2015. "Measuring the dynamics of an innovation system using patent data: a case study of South Korea, 2001–2010," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(4), pages 1325-1343, July.
    42. Xin Wang, 2023. "Research on the Coupling Coordination Degree of Triple Helix of Government Guidance, Industrial Innovation and Scientific Research Systems: Evidence from China," Sustainability, MDPI, vol. 15(6), pages 1-20, March.
    43. Soo Jeung Lee, 2019. "Academic entrepreneurship: exploring the effects of academic patenting activity on publication and collaboration among heterogeneous researchers in South Korea," The Journal of Technology Transfer, Springer, vol. 44(6), pages 1993-2013, December.
    44. Jaelani, Aan, 2019. "Triple Helix sebagai model bagi inovasi pendidikan tinggi: Analisis logika kelembagaan dalam pengembangan kewirausahaan dan ekonomi [The Triple Helix as a model for innovation of higher education: ," MPRA Paper 95752, University Library of Munich, Germany, revised 05 Jul 2019.
    45. Chung Joo Chung, 2014. "An analysis of the status of the Triple Helix and university–industry–government relationships in Asia," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 139-149, April.
    46. Inga Ivanova & Oivind Strand & Loet Leydesdorff, 2014. "Synergy cycles in the Norwegian innovation system: The relation between synergy and cycle values," Papers 1409.2760, arXiv.org.
    47. Marina Van Geenhuizen & Pieter Stek, 2015. "Mapping innovation in the global photovoltaic industry: a bibliometric approach to cluster identification and analysis," ERSA conference papers ersa15p697, European Regional Science Association.
    48. Ki-Seok Kwon & Han Woo Park & Minho So & Loet Leydesdorff, 2012. "Has globalization strengthened South Korea’s national research system? National and international dynamics of the Triple Helix of scientific co-authorship relationships in South Korea," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 163-176, January.
    49. Pieter E. Stek, 2020. "Mapping high R&D city-regions worldwide: a patent heat map approach," Quality & Quantity: International Journal of Methodology, Springer, vol. 54(1), pages 279-296, February.
    50. Hsu, David W.L. & Yuan, Benjamin J.C., 2013. "Knowledge creation and diffusion of Taiwan's universities: Knowledge trajectory from patent data," Technology in Society, Elsevier, vol. 35(3), pages 172-181.
    51. Loet Leydesdorff & Ping Zhou, 2014. "Measuring the knowledge-based economy of China in terms of synergy among technological, organizational, and geographic attributes of firms," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1703-1719, March.
    52. Weimin Kang & Shuliang Zhao & Wei Song & Tao Zhuang, 2019. "Triple helix in the science and technology innovation centers of China from the perspective of mutual information: a comparative study between Beijing and Shanghai," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 921-940, March.
    53. Yang Liu & Jinyuan Ma & Huanyu Song & Ziniu Qian & Xiao Lin, 2021. "Chinese Universities’ Cross-Border Research Collaboration in the Social Sciences and Its Impact," Sustainability, MDPI, vol. 13(18), pages 1-19, September.
    54. Arranz, Nieves & Arroyabe, Marta F. & Schumann, Martin, 2020. "The role of NPOs and international actors in the national innovation system: A network-based approach," Technological Forecasting and Social Change, Elsevier, vol. 159(C).
    55. Klitkou, Antje & Godoe, Helge, 2013. "The Norwegian PV manufacturing industry in a Triple Helix perspective," Energy Policy, Elsevier, vol. 61(C), pages 1586-1594.
    56. Jiang Li & Yueting Li, 2015. "Patterns and evolution of coauthorship in China’s humanities and social sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(3), pages 1997-2010, March.
    57. JongWuk Ahn & Hyundo Choi & Dong-hyun Oh, 2019. "Leveraging bridging universities to access international knowledge: Korean universities’ R&D internationalization," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(2), pages 519-537, August.
    58. Igors Skute & Kasia Zalewska-Kurek & Isabella Hatak & Petra Weerd-Nederhof, 2019. "Mapping the field: a bibliometric analysis of the literature on university–industry collaborations," The Journal of Technology Transfer, Springer, vol. 44(3), pages 916-947, June.
    59. Milica Jovanović & Gordana Savić & Yuzhuo Cai & Maja Levi-Jakšić, 2022. "Towards a Triple Helix based efficiency index of innovation systems," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(5), pages 2577-2609, May.
    60. Ali Gazni & Cassidy R. Sugimoto & Fereshteh Didegah, 2012. "Mapping world scientific collaboration: Authors, institutions, and countries," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(2), pages 323-335, February.
    61. Amalya L. Oliver, 2022. "Holistic ecosystems for enhancing innovative collaborations in university–industry consortia," The Journal of Technology Transfer, Springer, vol. 47(5), pages 1612-1628, October.
    62. Jongwuk Ahn & Dong-hyun Oh & Jeong-Dong Lee, 2014. "The scientific impact and partner selection in collaborative research at Korean universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(1), pages 173-188, July.
    63. Porto-Gomez, Igone & Zabala-Iturriagagoitia, Jon Mikel & Leydesdorff, Loet, 2019. "Innovation systems in México: A matter of missing synergies," Technological Forecasting and Social Change, Elsevier, vol. 148(C).

  150. Loet Leydesdorff & Carole Probst, 2009. "The delineation of an interdisciplinary specialty in terms of a journal set: The case of communication studies," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(8), pages 1709-1718, August.

    Cited by:

    1. Ruimin Ma & Erjia Yan, 2016. "Uncovering inter-specialty knowledge communication using author citation networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 839-854, November.
    2. Yongjun Zhu & Erjia Yan, 2015. "Dynamic subfield analysis of disciplines: an examination of the trading impact and knowledge diffusion patterns of computer science," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(1), pages 335-359, July.
    3. Alicia Moreno-Delgado & Juan Gorraiz & Rafael Repiso, 2021. "Assessing the publication output on country level in the research field communication using Garfield’s Impact Factor," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 5983-6000, July.
    4. Shengli Deng & Sudi Xia, 2020. "Mapping the interdisciplinarity in information behavior research: a quantitative study using diversity measure and co-occurrence analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 489-513, July.
    5. Leydesdorff, Loet & Welbers, Kasper, 2011. "The semantic mapping of words and co-words in contexts," Journal of Informetrics, Elsevier, vol. 5(3), pages 469-475.
    6. Saeed-Ul Hassan & Iqra Safder & Anam Akram & Faisal Kamiran, 2018. "A novel machine-learning approach to measuring scientific knowledge flows using citation context analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(2), pages 973-996, August.
    7. Joshua Eykens & Raf Guns & Raf Vanderstraeten, 2022. "Subject specialties as interdisciplinary trading grounds: the case of the social sciences and humanities," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7193-7213, December.
    8. Fan, Yangliu & Lehmann, Sune & Blok, Anders, 2022. "Extracting the interdisciplinary specialty structures in social media data-based research: A clustering-based network approach," Journal of Informetrics, Elsevier, vol. 16(3).
    9. Manuel Goyanes & Márton Demeter & Aurea Grané & Irene Albarrán-Lozano & Homero Gil de Zúñiga, 2020. "A mathematical approach to assess research diversity: operationalization and applicability in communication sciences, political science, and beyond," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2299-2322, December.
    10. Loet Leydesdorff, 2011. "“Structuration” by intellectual organization: the configuration of knowledge in relations among structural components in networks of science," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(2), pages 499-520, August.
    11. Manuel Goyanes & Márton Demeter & Zicheng Cheng & Homero Gil Zúñiga, 2022. "Measuring publication diversity among the most productive scholars: how research trajectories differ in communication, psychology, and political science," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(6), pages 3661-3682, June.
    12. Yan, Erjia & Ding, Ying & Cronin, Blaise & Leydesdorff, Loet, 2013. "A bird's-eye view of scientific trading: Dependency relations among fields of science," Journal of Informetrics, Elsevier, vol. 7(2), pages 249-264.
    13. Leydesdorff, Loet & Rafols, Ismael, 2012. "Interactive overlays: A new method for generating global journal maps from Web-of-Science data," Journal of Informetrics, Elsevier, vol. 6(2), pages 318-332.
    14. Rafael Repiso & Antonio Castillo-Esparcia & Daniel Torres-Salinas, 2019. "Altmetrics, alternative indicators for Web of Science Communication studies journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 941-958, May.
    15. Mu-Hsuan Huang & Yu-Wei Chang, 2012. "A comparative study of interdisciplinary changes between information science and library science," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(3), pages 789-803, June.

  151. Peter van den Besselaar & Loet Leydesdorff, 2009. "Past performance, peer review and project selection: a case study in the social and behavioral sciences," Research Evaluation, Oxford University Press, vol. 18(4), pages 273-288, October.

    Cited by:

    1. Marianne Hörlesberger & Ivana Roche & Dominique Besagni & Thomas Scherngell & Claire François & Pascal Cuxac & Edgar Schiebel & Michel Zitt & Dirk Holste, 2013. "A concept for inferring ‘frontier research’ in grant proposals," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(2), pages 129-148, November.
    2. van den Besselaar, Peter & Sandström, Ulf, 2015. "Early career grants, performance, and careers: A study on predictive validity of grant decisions," Journal of Informetrics, Elsevier, vol. 9(4), pages 826-838.
    3. Sandström, Ulf & Van den Besselaar, Peter, 2018. "Funding, evaluation, and the performance of national research systems," Journal of Informetrics, Elsevier, vol. 12(1), pages 365-384.
    4. Tóth, Tamás & Demeter, Márton & Csuhai, Sándor & Major, Zsolt Balázs, 2024. "When career-boosting is on the line: Equity and inequality in grant evaluation, productivity, and the educational backgrounds of Marie Skłodowska-Curie Actions individual fellows in social sciences an," Journal of Informetrics, Elsevier, vol. 18(2).
    5. Peter van den Besselaar & Ulf Sandström, 2016. "Gender differences in research performance and its impact on careers: a longitudinal case study," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(1), pages 143-162, January.
    6. Lepori, Benedetto, 2011. "Coordination modes in public funding systems," Research Policy, Elsevier, vol. 40(3), pages 355-367, April.
    7. Thelwall, Mike & Sud, Pardeep, 2016. "National, disciplinary and temporal variations in the extent to which articles with more authors have more impact: Evidence from a geometric field normalised citation indicator," Journal of Informetrics, Elsevier, vol. 10(1), pages 48-61.
    8. Vieira, Elizabeth S. & Lepori, Benedetto, 2016. "The growth process of higher education institutions and public policies," Journal of Informetrics, Elsevier, vol. 10(1), pages 286-298.
    9. van den Besselaar, Peter, 2012. "Selection committee membership: Service or self-service," Journal of Informetrics, Elsevier, vol. 6(4), pages 580-585.
    10. A. I. M. Jakaria Rahman & Raf Guns & Loet Leydesdorff & Tim C. E. Engels, 2016. "Measuring the match between evaluators and evaluees: cognitive distances between panel members and research groups at the journal level," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 1639-1663, December.
    11. Thomas Zacharewicz & Noemi Pulido Pavón & Luis Antonio & Benedetto Lepori, 2023. "Do funding modes matter? A multilevel analysis of funding allocation mechanisms on university research performance," Research Evaluation, Oxford University Press, vol. 32(3), pages 545-556.
    12. Seeber, Marco & Alon, Ilan & Pina, David G. & Piro, Fredrik Niclas & Seeber, Michele, 2022. "Predictors of applying for and winning an ERC Proof-of-Concept grant: An automated machine learning model," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    13. Kevin W. Boyack & Caleb Smith & Richard Klavans, 2018. "Toward predicting research proposal success," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(2), pages 449-461, February.
    14. Benedetto Lepori & Valerio Veglio & Barbara Heller-Schuh & Thomas Scherngell & Michael Barber, 2015. "Participations to European Framework Programs of higher education institutions and their association with organizational characteristics," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 2149-2178, December.
    15. Bornmann, Lutz & Leydesdorff, Loet & Van den Besselaar, Peter, 2010. "A meta-evaluation of scientific research proposals: Different ways of comparing rejected to awarded applications," Journal of Informetrics, Elsevier, vol. 4(3), pages 211-220.
    16. Jun-Ying Fu & Xu Zhang & Yun-Hua Zhao & He-Feng Tong & Dar-Zen Chen & Mu-Hsuan Huang, 2012. "Scientific production and citation impact: a bibliometric analysis in acupuncture over three decades," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(3), pages 1061-1079, December.
    17. Irwin Feller, 2013. "Peer review and expert panels as techniques for evaluating the quality of academic research," Chapters, in: Albert N. Link & Nicholas S. Vonortas (ed.), Handbook on the Theory and Practice of Program Evaluation, chapter 5, pages 115-142, Edward Elgar Publishing.
    18. Pleun Arensbergen & Inge van der Weijden & Peter Besselaar, 2012. "Gender differences in scientific productivity: a persisting phenomenon?," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(3), pages 857-868, December.
    19. Benda, Wim G.G. & Engels, Tim C.E., 2011. "The predictive validity of peer review: A selective review of the judgmental forecasting qualities of peers, and implications for innovation in science," International Journal of Forecasting, Elsevier, vol. 27(1), pages 166-182.
    20. Matteo Pedrini & Valentina Langella & Mario Alberto Battaglia & Paola Zaratin, 2018. "Assessing the health research’s social impact: a systematic review," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(3), pages 1227-1250, March.
    21. Paul Siu Fai Yip & Yunyu Xiao & Clifford Long Hin Wong & Terry Kit Fong Au, 2020. "Is there gender bias in research grant success in social sciences?: Hong Kong as a case study," Palgrave Communications, Palgrave Macmillan, vol. 7(1), pages 1-10, December.
    22. Tobias Opthof & Loet Leydesdorff, 2011. "A comment to the paper by Waltman et al., Scientometrics, 87, 467–481, 2011," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(3), pages 1011-1016, September.
    23. Peter van den Besselaar & Ulf Sandström & Hélène Schiffbaenker, 2018. "Studying grant decision-making: a linguistic analysis of review reports," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(1), pages 313-329, October.
    24. Benda, Wim G.G. & Engels, Tim C.E., 2011. "The predictive validity of peer review: A selective review of the judgmental forecasting qualities of peers, and implications for innovation in science," International Journal of Forecasting, Elsevier, vol. 27(1), pages 166-182, January.
    25. Rüdiger Mutz & Lutz Bornmann & Hans-Dieter Daniel, 2015. "Testing for the fairness and predictive validity of research funding decisions: A multilevel multiple imputation for missing data approach using ex-ante and ex-post peer evaluation data from the Austr," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(11), pages 2321-2339, November.
    26. Maaike Verbree & Edwin Horlings & Peter Groenewegen & Inge Weijden & Peter Besselaar, 2015. "Organizational factors influencing scholarly performance: a multivariate study of biomedical research groups," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 25-49, January.

  152. Loet Leydesdorff & Ismael Rafols, 2009. "A global map of science based on the ISI subject categories," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(2), pages 348-362, February.

    Cited by:

    1. Stephen Carley & Alan L. Porter, 2012. "A forward diversity index," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(2), pages 407-427, February.
    2. Pierre-Alexandre Balland & Ron Boschma, 2021. "Do scientific capabilities in specific domains matter for technological diversification in European regions?," Papers in Evolutionary Economic Geography (PEEG) 2116, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised May 2021.
    3. Daniel Torres-Salinas & Nicolás Robinson-García & Álvaro Cabezas-Clavijo & Evaristo Jiménez-Contreras, 2014. "Analyzing the citation characteristics of books: edited books, book series and publisher types in the book citation index," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 2113-2127, March.
    4. Akinpelu, O.A. & Olaleye, O. & Fagbola, O., 2023. "The Soil Organic Matter Decomposers: A Bibliometric Analysis," International Journal of Agriculture and Environmental Research, Malwa International Journals Publication, vol. 9(4), August.
    5. Su, Hsin-Ning & Moaniba, Igam M., 2017. "Investigating the dynamics of interdisciplinary evolution in technology developments," Technological Forecasting and Social Change, Elsevier, vol. 122(C), pages 12-23.
    6. Nees Jan Eck & Ludo Waltman, 2010. "Software survey: VOSviewer, a computer program for bibliometric mapping," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(2), pages 523-538, August.
    7. Juste Raimbault, 2019. "Exploration of an interdisciplinary scientific landscape," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 617-641, May.
    8. Gao, Qiang & Liang, Zhentao & Wang, Ping & Hou, Jingrui & Chen, Xiuxiu & Liu, Manman, 2021. "Potential index: Revealing the future impact of research topics based on current knowledge networks," Journal of Informetrics, Elsevier, vol. 15(3).
    9. Shino Iwami & Junichiro Mori & Ichiro Sakata & Yuya Kajikawa, 2014. "Detection method of emerging leading papers using time transition," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1515-1533, November.
    10. David N. Matzig & Clemens Schmid & Felix Riede, 2023. "Mapping the field of cultural evolutionary theory and methods in archaeology using bibliometric methods," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-17, December.
    11. Lyu, Haihua & Bu, Yi & Zhao, Zhenyue & Zhang, Jiarong & Li, Jiang, 2022. "Citation bias in measuring knowledge flow: Evidence from the web of science at the discipline level," Journal of Informetrics, Elsevier, vol. 16(4).
    12. Seokbeom Kwon & Alan Porter & Jan Youtie, 2016. "Navigating the innovation trajectories of technology by combining specialization score analyses for publications and patents: graphene and nano-enabled drug delivery," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(3), pages 1057-1071, March.
    13. Shunshun Shi & Wenyu Zhang & Shuai Zhang & Jie Chen, 2018. "Does prestige dimension influence the interdisciplinary performance of scientific entities in knowledge flow? Evidence from the e-government field," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(2), pages 1237-1264, November.
    14. Qiuju Zhou & Ronald Rousseau & Liying Yang & Ting Yue & Guoliang Yang, 2012. "A general framework for describing diversity within systems and similarity between systems with applications in informetrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(3), pages 787-812, December.
    15. Ricardo Arencibia-Jorge & Rosa Lidia Vega-Almeida & José Luis Jiménez-Andrade & Humberto Carrillo-Calvet, 2022. "Evolutionary stages and multidisciplinary nature of artificial intelligence research," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(9), pages 5139-5158, September.
    16. Mario Coccia, 2011. "Evolutionary dynamics and scientific flows of nanotechnology research across geo-economic areas," CERIS Working Paper 201101, CNR-IRCrES Research Institute on Sustainable Economic Growth - Torino (TO) ITALY - former Institute for Economic Research on Firms and Growth - Moncalieri (TO) ITALY.
    17. Zhao, Star X. & Ye, Fred Y., 2012. "Exploring the directed h-degree in directed weighted networks," Journal of Informetrics, Elsevier, vol. 6(4), pages 619-630.
    18. Giovanni Abramo & Ciriaco Andrea D'Angelo & Flavia Costa, 2012. "Identifying interdisciplinarity through the disciplinary classification of coauthors of scientific publications," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(11), pages 2206-2222, November.
    19. Ruimin Ma & Erjia Yan, 2016. "Uncovering inter-specialty knowledge communication using author citation networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 839-854, November.
    20. Rafols, Ismael & Leydesdorff, Loet & O’Hare, Alice & Nightingale, Paul & Stirling, Andy, 2012. "How journal rankings can suppress interdisciplinary research: A comparison between Innovation Studies and Business & Management," Research Policy, Elsevier, vol. 41(7), pages 1262-1282.
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    135. Shino Iwami & Arto Ojala & Chihiro Watanabe & Pekka Neittaanmäki, 2020. "A bibliometric approach to finding fields that co-evolved with information technology," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 3-21, January.
    136. Miguel R. Guevara & Dominik Hartmann & Manuel Aristarán & Marcelo Mendoza & César A. Hidalgo, 2016. "The research space: using career paths to predict the evolution of the research output of individuals, institutions, and nations," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 1695-1709, December.
    137. Hu, Xiaojun & Rousseau, Ronald & Chen, Jin, 2011. "Time series of outgrow indices," Journal of Informetrics, Elsevier, vol. 5(3), pages 413-421.
    138. Andrea Zielinski, 2022. "Impact of model settings on the text-based Rao diversity index," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7751-7768, December.

  153. Loet Leydesdorff & Caroline Wagner, 2009. "Is the United States losing ground in science? A global perspective on the world science system," Scientometrics, Springer;Akadémiai Kiadó, vol. 78(1), pages 23-36, January.

    Cited by:

    1. Goio Etxebarria & Mikel Gomez-Uranga & Jon Barrutia, 2012. "Tendencies in scientific output on carbon nanotubes and graphene in global centers of excellence for nanotechnology," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(1), pages 253-268, April.
    2. Motoyama, Yasuyuki & Cao, Cong & Appelbaum, Richard, 2014. "Observing regional divergence of Chinese nanotechnology centers," Technological Forecasting and Social Change, Elsevier, vol. 81(C), pages 11-21.
    3. Peter James Bentley, 2015. "Cross-country differences in publishing productivity of academics in research universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 865-883, January.
    4. Alberto Baccini & Cristina Re, 2023. "Who are the gatekeepers of economics? Geographic diversity, gender composition, and interlocking editorship of journal boards," Papers 2304.04242, arXiv.org, revised Jan 2024.
    5. Patrick Herron & Aashish Mehta & Cong Cao & Timothy Lenoir, 2016. "Research diversification and impact: the case of national nanoscience development," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 629-659, November.
    6. Yves Gingras & Mahdi Khelfaoui, 2018. "Assessing the effect of the United States’ “citation advantage” on other countries’ scientific impact as measured in the Web of Science (WoS) database," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(2), pages 517-532, February.
    7. Leydesdorff, Loet & Wagner, Caroline, 2009. "Macro-level indicators of the relations between research funding and research output," Journal of Informetrics, Elsevier, vol. 3(4), pages 353-362.
    8. Bornmann, Lutz & Adams, Jonathan & Leydesdorff, Loet, 2018. "The negative effects of citing with a national orientation in terms of recognition: National and international citations in natural-sciences papers from Germany, the Netherlands, and the UK," Journal of Informetrics, Elsevier, vol. 12(3), pages 931-949.
    9. Alonso Rodríguez-Navarro & Francis Narin, 2018. "European Paradox or Delusion—Are European Science and Economy Outdated?," Science and Public Policy, Oxford University Press, vol. 45(1), pages 14-23.
    10. Lu, Kun & Wolfram, Dietmar, 2010. "Geographic characteristics of the growth of informetrics literature 1987–2008," Journal of Informetrics, Elsevier, vol. 4(4), pages 591-601.
    11. Giovanni Abramo & Ciriaco Andrea D’Angelo & Fulvio Viel, 2011. "The field-standardized average impact of national research systems compared to world average: the case of Italy," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(2), pages 599-615, August.
    12. Hui-Zhen Fu & Yuh-Shan Ho, 2013. "Comparison of independent research of China’s top universities using bibliometric indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(1), pages 259-276, July.
    13. Gregory J Hather & Winston Haynes & Roger Higdon & Natali Kolker & Elizabeth A Stewart & Peter Arzberger & Patrick Chain & Dawn Field & B Robert Franza & Biaoyang Lin & Folker Meyer & Vural Ozdemir & , 2010. "The United States of America and Scientific Research," PLOS ONE, Public Library of Science, vol. 5(8), pages 1-9, August.
    14. Csomós, György, 2018. "Reprint of “A spatial scientometric analysis of the publication output of cities worldwide”," Journal of Informetrics, Elsevier, vol. 12(2), pages 547-566.
    15. Chung-Souk Han, 2011. "On the demographical changes of U.S. research doctorate awardees and corresponding trends in research fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(3), pages 845-865, December.
    16. György Csomós & Zsófia Viktória Vida & Balázs Lengyel, 2020. "Exploring the changing geographical pattern of international scientific collaborations through the prism of cities," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-20, November.
    17. Jesper W. Schneider & Thed Leeuwen & Martijn Visser & Kaare Aagaard, 2019. "Examining national citation impact by comparing developments in a fixed and a dynamic journal set," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 973-985, May.
    18. Chan-Yuan Wong, 2019. "A century of scientific publication: towards a theorization of growth behavior and research-orientation," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(1), pages 357-377, April.
    19. Ehsan Mohammadi, 2012. "Knowledge mapping of the Iranian nanoscience and technology: a text mining approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(3), pages 593-608, September.
    20. Z. A. Mamed’yarov, 2021. "The Uneven Development Paradox of the High-Tech Sector Amid a Comparable Economic Growth in the European Union and the United States," Studies on Russian Economic Development, Springer, vol. 32(5), pages 555-563, September.
    21. Fu, Hui-Zhen & Ho, Yuh-Shan, 2013. "Independent research of China in Science Citation Index Expanded during 1980–2011," Journal of Informetrics, Elsevier, vol. 7(1), pages 210-222.
    22. Can Huang & Ad Notten & Nico Rasters, 2011. "Nanoscience and technology publications and patents: a review of social science studies and search strategies," The Journal of Technology Transfer, Springer, vol. 36(2), pages 145-172, April.
    23. Xianwen Wang & Shenmeng Xu & Zhi Wang & Lian Peng & Chuanli Wang, 2013. "International scientific collaboration of China: collaborating countries, institutions and individuals," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(3), pages 885-894, June.
    24. Camil Demetrescu & Irene Finocchi & Andrea Ribichini & Marco Schaerf, 2022. "On computer science research and its temporal evolution," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(8), pages 4913-4938, August.
    25. Junwen Zhu & Weishu Liu, 2020. "Comparing like with like: China ranks first in SCI-indexed research articles since 2018," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1691-1700, August.
    26. Mahdi Khelfaoui & Julien Larrègue & Vincent Larivière & Yves Gingras, 2020. "Measuring national self-referencing patterns of major science producers," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(2), pages 979-996, May.
    27. Pierre Courtioux & François Métivier & Antoine Rebérioux, 2019. "Scientific Competition between Countries: Did China Get What It Paid for?," Documents de travail du Centre d'Economie de la Sorbonne 19013, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    28. Pedro Albarrán & Juan A. Crespo & Ignacio Ortuño & Javier Ruiz-Castillo, 2010. "A comparison of the scientific performance of the U.S. and the European union at the turn of the 21st century," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(1), pages 329-344, October.
    29. Guang Yu & Ming-Yang Wang & Da-Ren Yu, 2010. "Characterizing knowledge diffusion of Nanoscience & Nanotechnology by citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(1), pages 81-97, July.
    30. Andrade Valbuena, Nelson A. & Valenzuela Fernández, Leslier & Merigó, José M., 2022. "Thirty-five years of strategic management research. A country analysis using bibliometric techniques for the 1987-2021 period," Cuadernos de Gestión, Universidad del País Vasco - Instituto de Economía Aplicada a la Empresa (IEAE).
    31. Nobuyuki Shirakawa & Takao Furukawa & Minoru Nomura & Kumi Okuwada, 2012. "Global competition and technological transition in electrical, electronic, information and communication engineering: quantitative analysis of periodicals and conference proceedings of the IEEE," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(3), pages 895-910, June.
    32. Sujit Bhattacharya & Shilpa & Arshia Kaul, 2015. "Emerging countries assertion in the global publication landscape of science: a case study of India," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(2), pages 387-411, May.
    33. Thomas Heinze & Arlette Jappe & David Pithan, 2019. "From North American hegemony to global competition for scientific leadership? Insights from the Nobel population," PLOS ONE, Public Library of Science, vol. 14(4), pages 1-14, April.
    34. Liwei Zhang & Jue Wang, 2021. "What affects publications’ popularity on Twitter?," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(11), pages 9185-9198, November.
    35. Zhang, Han & Patton, Donald & Kenney, Martin, 2013. "Building global-class universities: Assessing the impact of the 985 Project," Research Policy, Elsevier, vol. 42(3), pages 765-775.
    36. Raf Vanderstraeten & Frédéric Vandermoere, 2021. "Inequalities in the growth of Web of Science," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(10), pages 8635-8651, October.
    37. Hui-Zhen Fu & Xiao Long & Yuh-Shan Ho, 2014. "China’s research in chemical engineering journals in Science Citation Index Expanded: a bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(1), pages 119-136, January.
    38. Jacek Bogocz & Andrzej Bak & Jaroslaw Polanski, 2014. "No free lunches in nature? An analysis of the regional distribution of the affiliations of Nature publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 547-568, October.
    39. Simone Belli & Rogério Mugnaini & Joan Baltà & Ernest Abadal, 2020. "Coronavirus mapping in scientific publications: When science advances rapidly and collectively, is access to this knowledge open to society?," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2661-2685, September.
    40. Oliver Wieczorek & Markus Eckl & Madeleine Bausch & Erik Radisch & Christoph Barmeyer & Malte Rehbein, 2021. "Better, Faster, Stronger: The Evolution of Co-authorship in International Management Research Between 1990 and 2016," SAGE Open, , vol. 11(4), pages 21582440211, November.
    41. Zhenyue Zhao & Xuelian Pan & Weina Hua, 2021. "Comparative analysis of the research productivity, publication quality, and collaboration patterns of top ranked library and information science schools in China and the United States," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 931-950, February.
    42. Leydesdorff, Loet & Wagner, Caroline S. & Bornmann, Lutz, 2014. "The European Union, China, and the United States in the top-1% and top-10% layers of most-frequently cited publications: Competition and collaborations," Journal of Informetrics, Elsevier, vol. 8(3), pages 606-617.
    43. Jiancheng Guan & He Wei, 2015. "A bilateral comparison of research performance at an institutional level," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(1), pages 147-173, July.
    44. Richard Klavans & Kevin W. Boyack, 2010. "Toward an objective, reliable and accurate method for measuring research leadership," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(3), pages 539-553, March.
    45. Yaoyu Wei & Weiwei Fan, 2018. "A study of book reviews in SCI-Expanded, SSCI, and A&HCI journals by researchers from five countries: 2006–2015," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(2), pages 637-654, May.
    46. Courtioux, Pierre & Métivier, François & Rebérioux, Antoine, 2022. "Nations ranking in scientific competition: Countries get what they paid for," Economic Modelling, Elsevier, vol. 116(C).
    47. Nomaler, Önder & Frenken, Koen & Heimeriks, Gaston, 2013. "Do more distant collaborations have more citation impact?," Journal of Informetrics, Elsevier, vol. 7(4), pages 966-971.

  154. Loet Leydesdorff, 2009. "How are new citation‐based journal indicators adding to the bibliometric toolbox?," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(7), pages 1327-1336, July.

    Cited by:

    1. Daniel Torres-Salinas & Nicolás Robinson-García & Álvaro Cabezas-Clavijo & Evaristo Jiménez-Contreras, 2014. "Analyzing the citation characteristics of books: edited books, book series and publisher types in the book citation index," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 2113-2127, March.
    2. Raf Guns & Yu Xian Liu & Dilruba Mahbuba, 2011. "Q-measures and betweenness centrality in a collaboration network: a case study of the field of informetrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(1), pages 133-147, April.
    3. Dorta-González, Pablo & Dorta-González, María Isabel & Santos-Peñate, Dolores Rosa & Suárez-Vega, Rafael, 2014. "Journal topic citation potential and between-field comparisons: The topic normalized impact factor," Journal of Informetrics, Elsevier, vol. 8(2), pages 406-418.
    4. Yves Fassin, 2021. "Does the Financial Times FT50 journal list select the best management and economics journals?," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 5911-5943, July.
    5. Bornmann, Lutz & Mutz, Rüdiger & Daniel, Hans-Dieter, 2010. "The h index research output measurement: Two approaches to enhance its accuracy," Journal of Informetrics, Elsevier, vol. 4(3), pages 407-414.
    6. Gangan Prathap, 2020. "Letter to the editor: Journal indicators from a dimensionality perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(2), pages 1259-1265, February.
    7. Yuzhuo Wang & Kai Li, 2024. "How do official software citation formats evolve over time? A longitudinal analysis of R programming language packages," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(7), pages 3997-4019, July.
    8. Yarlein Ivama Julio Guerrero & Francisco Teixeira Pinto Dias, 2024. "Tourist Tracking Techniques and Their Role in Destination Management: A Bibliometric Study, 2007–2023," Sustainability, MDPI, vol. 16(9), pages 1-24, April.
    9. Walters, William H., 2017. "Do subjective journal ratings represent whole journals or typical articles? Unweighted or weighted citation impact?," Journal of Informetrics, Elsevier, vol. 11(3), pages 730-744.
    10. Peter Klimek & Aleksandar Jovanovic & Rainer Egloff & Reto Schneider, 2016. "Successful fish go with the flow: citation impact prediction based on centrality measures for term–document networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(3), pages 1265-1282, June.
    11. Andersen, Jens Peter, 2017. "An empirical and theoretical critique of the Euclidean index," Journal of Informetrics, Elsevier, vol. 11(2), pages 455-465.
    12. Yongjun Zhu & Erjia Yan, 2015. "Dynamic subfield analysis of disciplines: an examination of the trading impact and knowledge diffusion patterns of computer science," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(1), pages 335-359, July.
    13. Gangan Prathap, 2019. "The Pinski–Narin influence weight and the Ramanujacharyulu power-weakness ratio indicators revisited," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 1173-1185, May.
    14. Collins C. Okolie & Abiodun A. Ogundeji, 2022. "Effect of COVID-19 on agricultural production and food security: A scientometric analysis," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-13, December.
    15. Gohar Feroz Khan, 2013. "Social media-based systems: an emerging area of information systems research and practice," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(1), pages 159-180, April.
    16. Bornmann, Lutz & Leydesdorff, Loet, 2013. "The validation of (advanced) bibliometric indicators through peer assessments: A comparative study using data from InCites and F1000," Journal of Informetrics, Elsevier, vol. 7(2), pages 286-291.
    17. Mingers, John & Leydesdorff, Loet, 2015. "A review of theory and practice in scientometrics," European Journal of Operational Research, Elsevier, vol. 246(1), pages 1-19.
    18. Alfonso Ibáñez & Pedro Larrañaga & Concha Bielza, 2011. "Using Bayesian networks to discover relationships between bibliometric indices. A case study of computer science and artificial intelligence journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(2), pages 523-551, November.
    19. Franceschet, Massimo, 2010. "Journal influence factors," Journal of Informetrics, Elsevier, vol. 4(3), pages 239-248.
    20. Leydesdorff, Loet & Rafols, Ismael, 2011. "Indicators of the interdisciplinarity of journals: Diversity, centrality, and citations," Journal of Informetrics, Elsevier, vol. 5(1), pages 87-100.
    21. Feiheng Luo & Aixin Sun & Mojisola Erdt & Aravind Sesagiri Raamkumar & Yin-Leng Theng, 2018. "Exploring prestigious citations sourced from top universities in bibliometrics and altmetrics: a case study in the computer science discipline," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(1), pages 1-17, January.
    22. Dorta-González, P. & Dorta-González, M.I., 2013. "Impact maturity times and citation time windows: The 2-year maximum journal impact factor," Journal of Informetrics, Elsevier, vol. 7(3), pages 593-602.
    23. Tehmina Amjad & Ying Ding & Ali Daud & Jian Xu & Vincent Malic, 2015. "Topic-based heterogeneous rank," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(1), pages 313-334, July.
    24. Zhang, Xinyuan & Xie, Qing & Song, Min, 2021. "Measuring the impact of novelty, bibliometric, and academic-network factors on citation count using a neural network," Journal of Informetrics, Elsevier, vol. 15(2).
    25. Loet Leydesdorff & Ping Zhou & Lutz Bornmann, 2013. "How can journal impact factors be normalized across fields of science? An assessment in terms of percentile ranks and fractional counts," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(1), pages 96-107, January.
    26. João Mateus Freitas Veneroso & Marlon Dias & Alberto Ueda & Sabir Ribas & Berthier Ribeiro-Neto & Nivio Ziviani & Edmundo Souza e Silva, 2019. "P-score: a reputation bibliographic index that complements citation counts," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(3), pages 1269-1291, December.
    27. Meng Lv & Shaohong Feng, 2021. "Temporary teams: current research focus and future directions," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(1), pages 1-18, February.
    28. Peng, Tai-Quan, 2015. "Assortative mixing, preferential attachment, and triadic closure: A longitudinal study of tie-generative mechanisms in journal citation networks," Journal of Informetrics, Elsevier, vol. 9(2), pages 250-262.
    29. Jens Peter Andersen & Björn Hammarfelt, 2011. "Price revisited: on the growth of dissertations in eight research fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(2), pages 371-383, August.
    30. Domingo Docampo & Jean-Jacques Bessoule, 2019. "A new approach to the analysis and evaluation of the research output of countries and institutions," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 1207-1225, May.
    31. Luis Antonio Orozco Castro, 2015. "Diversidad y heterogeneidad en redes de colaboración científica. Un estudio de las escuelas de administración de América Latina," Books, Universidad Externado de Colombia, Facultad de Administración de Empresas, edition 1, number 44, August.
    32. Lin Feng & Jian Zhou & Sheng-Lan Liu & Ning Cai & Jie Yang, 2020. "Analysis of journal evaluation indicators: an experimental study based on unsupervised Laplacian score," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 233-254, July.
    33. Franceschet, Massimo, 2010. "The difference between popularity and prestige in the sciences and in the social sciences: A bibliometric analysis," Journal of Informetrics, Elsevier, vol. 4(1), pages 55-63.
    34. Muzammil Tahira & Rose Alinda Alias & Aryati Bakri & A. Abrizah, 2016. "Meso-level institutional and journal related indices for Malaysian engineering research," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(2), pages 521-535, May.
    35. Josep Freixas & Roger Hoerl & William S. Zwicker, 2023. "Nash's bargaining problem and the scale-invariant Hirsch citation index," Papers 2309.01192, arXiv.org.
    36. Waltman, Ludo, 2016. "A review of the literature on citation impact indicators," Journal of Informetrics, Elsevier, vol. 10(2), pages 365-391.
    37. Latefa Ali Dardas & Ahmad M. A. Malkawi & Sami Sweis & Nadia Sweis & Amjad Al-Khayat & Faleh A. Sawair, 2023. "Mapping Two Decades of Research Productivity in the Middle Eastern and Arab Countries: A Comprehensive Bibliometric Analysis," Publications, MDPI, vol. 11(4), pages 1-18, October.
    38. Chi, Pei-Shan, 2016. "Differing disciplinary citation concentration patterns of book and journal literature?," Journal of Informetrics, Elsevier, vol. 10(3), pages 814-829.
    39. Ephrance Abu Ujum & Sameer Kumar & Kuru Ratnavelu & Gangan Prathap, 2021. "A new journal power-weakness ratio to measure journal impact," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(11), pages 9051-9068, November.
    40. Sandra Leonara Obregon & Luis Felipe Dias Lopes & Fabiola Kaczam & Claudimar Pereira Veiga & Wesley Vieira Silva, 2022. "Religiosity, Spirituality and Work: A Systematic Literature Review and Research Directions," Journal of Business Ethics, Springer, vol. 179(2), pages 573-595, August.
    41. William M. Cockriel & James B. McDonald, 2018. "The influence of dispersion on journal impact measures," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 609-622, July.
    42. Vanessa Martins Valcanover & Igor Bernardi Sonza & Wesley Vieira da Silva, 2020. "Behavioral Finance Experiments: A Recent Systematic Literature Review," SAGE Open, , vol. 10(4), pages 21582440209, November.
    43. Fiorenzo Franceschini & Domenico Maisano, 2012. "Quality & Quantity journal: a bibliometric snapshot," Quality & Quantity: International Journal of Methodology, Springer, vol. 46(2), pages 573-580, February.
    44. Fiorenzo Franceschini & Domenico Maisano, 2011. "Bibliometric positioning of scientific manufacturing journals: a comparative analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(2), pages 463-485, February.
    45. Jian Wang, 2013. "Citation time window choice for research impact evaluation," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(3), pages 851-872, March.
    46. Yong S. Nyam & Julius H. Kotir & Andries J. Jordaan & Abiodun A. Ogundeji & Adetoso A. Adetoro & Israel R. Orimoloye, 2020. "Towards Understanding and Sustaining Natural Resource Systems through the Systems Perspective: A Systematic Evaluation," Sustainability, MDPI, vol. 12(23), pages 1-20, November.
    47. Gianfranco Ennas & Battista Biggio & Maria Chiara Di Guardo, 2015. "Data-driven journal meta-ranking in business and management," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1911-1929, December.
    48. Jeffrey Muldoon & Younggeun Lee & Eric W. Liguori & Saumyaranjan Sahoo & Satish Kumar, 2024. "Mapping the entrepreneurship ecosystem scholarship: current state and future directions," International Entrepreneurship and Management Journal, Springer, vol. 20(4), pages 3035-3080, December.
    49. Currie, Russell R. & Pandher, Gurupdesh S., 2020. "Finance journal rankings: Active scholar assessment revisited," Journal of Banking & Finance, Elsevier, vol. 111(C).
    50. Campanario, Juan Miguel, 2014. "Analysis of the distribution of cited journals according to their positions in the h-core of citing journal listed in Journal Citation Reports," Journal of Informetrics, Elsevier, vol. 8(3), pages 534-545.
    51. González-Pereira, Borja & Guerrero-Bote, Vicente P. & Moya-Anegón, Félix, 2010. "A new approach to the metric of journals’ scientific prestige: The SJR indicator," Journal of Informetrics, Elsevier, vol. 4(3), pages 379-391.
    52. Mark R. Elkins & Christopher G. Maher & Robert D. Herbert & Anne M. Moseley & Catherine Sherrington, 2010. "Correlation between the Journal Impact Factor and three other journal citation indices," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(1), pages 81-93, October.
    53. Franceschini, Fiorenzo & Maisano, Domenico, 2010. "The Hirsch spectrum: A novel tool for analyzing scientific journals," Journal of Informetrics, Elsevier, vol. 4(1), pages 64-73.
    54. Michael Hall, C., 2011. "Publish and perish? Bibliometric analysis, journal ranking and the assessment of research quality in tourism," Tourism Management, Elsevier, vol. 32(1), pages 16-27.
    55. Katharina Maria Hofer & Angela Elisabeth Smejkal & F. Zeynep Bilgin & Gerhard A. Wuehrer, 2010. "Conference proceedings as a matter of bibliometric studies: the Academy of International Business 2006–2008," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(3), pages 845-862, September.
    56. Subochev, Andrey & Aleskerov, Fuad & Pislyakov, Vladimir, 2018. "Ranking journals using social choice theory methods: A novel approach in bibliometrics," Journal of Informetrics, Elsevier, vol. 12(2), pages 416-429.
    57. Luciana Fighera Marzall & Fabíola Kaczam & Vânia Medianeira Flores Costa & Claudimar Pereira Veiga & Wesley Vieira Silva, 2022. "Establishing a typology for productive intelligence: a systematic literature mapping," Management Review Quarterly, Springer, vol. 72(3), pages 789-822, September.

  155. Han Woo Park & Loet Leydesdorff, 2009. "Knowledge linkage structures in communication studies using citation analysis among communication journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(1), pages 157-175, October.

    Cited by:

    1. Han Park, 2012. "How do social scientists use link data from search engines to understand Internet-based political and electoral communication?," Quality & Quantity: International Journal of Methodology, Springer, vol. 46(2), pages 679-693, February.
    2. Chen, Lixin, 2017. "Do patent citations indicate knowledge linkage? The evidence from text similarities between patents and their citations," Journal of Informetrics, Elsevier, vol. 11(1), pages 63-79.
    3. Alberto Gherardini & Alberto Nucciotti, 2017. "Yesterday’s giants and invisible colleges of today. A study on the ‘knowledge transfer’ scientific domain," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(1), pages 255-271, July.
    4. Alicia Moreno-Delgado & Juan Gorraiz & Rafael Repiso, 2021. "Assessing the publication output on country level in the research field communication using Garfield’s Impact Factor," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 5983-6000, July.
    5. Brian H Spitzberg, 2018. "Framing the Game: An Architectonic Analogue for Meta-Theorizing Academic Activities," Studies in Media and Communication, Redfame publishing, vol. 6(1), pages 11-25, June.
    6. Jeremy Trevelyan Burman, 2018. "What Is History of Psychology? Network Analysis of Journal Citation Reports, 2009-2015," SAGE Open, , vol. 8(1), pages 21582440187, March.
    7. Peng, Tai-Quan, 2015. "Assortative mixing, preferential attachment, and triadic closure: A longitudinal study of tie-generative mechanisms in journal citation networks," Journal of Informetrics, Elsevier, vol. 9(2), pages 250-262.
    8. Manuel Goyanes & Márton Demeter & Aurea Grané & Irene Albarrán-Lozano & Homero Gil de Zúñiga, 2020. "A mathematical approach to assess research diversity: operationalization and applicability in communication sciences, political science, and beyond," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2299-2322, December.
    9. Aurora A. C. Teixeira & Luisa Mota, 2012. "A bibliometric portrait of the evolution, scientific roots and influence of the literature on university–industry links," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(3), pages 719-743, December.
    10. Gohar Feroz Khan & Junghoon Moon & Han Woo Park, 2011. "Network of the core: mapping and visualizing the core of scientific domains," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(3), pages 759-779, December.
    11. George A. Barnett & Catherine Huh & Youngju Kim & Han Woo Park, 2011. "Citations among communication journals and other disciplines: a network analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(2), pages 449-469, August.
    12. Keeheon Lee & Hyojung Jung & Min Song, 2016. "Subject–method topic network analysis in communication studies," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 1761-1787, December.
    13. Gohar Feroz Khan & Sungjoon Lee & Ji Young Park & Han Woo Park, 2016. "Theories in communication science: a structural analysis using webometrics and social network approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(2), pages 531-557, August.
    14. Chung Joo Chung & George A. Barnett & Kitae Kim & Derek Lackaff, 2013. "An analysis on communication theory and discipline," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(3), pages 985-1002, June.
    15. Rafael Repiso & Antonio Castillo-Esparcia & Daniel Torres-Salinas, 2019. "Altmetrics, alternative indicators for Web of Science Communication studies journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 941-958, May.

  156. Stephen J. Bensman & Loet Leydesdorff, 2009. "Definition and identification of journals as bibliographic and subject entities: Librarianship versus ISI Journal Citation Reports methods and their effect on citation measures," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(6), pages 1097-1117, June.

    Cited by:

    1. María del Carmen Calatrava Moreno & Thomas Auzinger & Hannes Werthner, 2016. "On the uncertainty of interdisciplinarity measurements due to incomplete bibliographic data," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(1), pages 213-232, April.
    2. Mu-hsuan Huang & Wang-Ching Shaw & Chi-Shiou Lin, 2019. "One category, two communities: subfield differences in “Information Science and Library Science” in Journal Citation Reports," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 1059-1079, May.
    3. Zahed Bigdeli & Morteza Kokabi & Gholam Reza Rajabi & Ali Gazni, 2013. "Patterns of authors’ information scattering: towards a causal explanation of information scattering from a scholarly information-seeking behavior perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(1), pages 103-131, July.
    4. Xie, Yundong & Wu, Qiang & Zhang, Peng & Li, Xingchen, 2020. "Information Science and Library Science (IS-LS) journal subject categorisation and comparison based on editorship information," Journal of Informetrics, Elsevier, vol. 14(4).
    5. Leydesdorff, Loet & Bornmann, Lutz & Zhou, Ping, 2016. "Construction of a pragmatic base line for journal classifications and maps based on aggregated journal-journal citation relations," Journal of Informetrics, Elsevier, vol. 10(4), pages 902-918.
    6. Loet Leydesdorff & Lutz Bornmann & Caroline S. Wagner, 2017. "Generating clustered journal maps: an automated system for hierarchical classification," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(3), pages 1601-1614, March.
    7. Jonas Hauke & Iris Lorscheid & Matthias Meyer, 2017. "Recent Development of Social Simulation as Reflected in JASSS Between 2008 and 2014: A Citation and Co-Citation Analysis," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 20(1), pages 1-5.
    8. Ismael Rafols & Alan Porter & Loet Leydesdorff, 2009. "Overlay Maps of Science: a New Tool for Research Policy," SPRU Working Paper Series 179, SPRU - Science Policy Research Unit, University of Sussex Business School.
    9. Loet Leydesdorff, 2012. "Alternatives to the journal impact factor: I3 and the top-10% (or top-25%?) of the most-highly cited papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(2), pages 355-365, August.
    10. Loet Leydesdorff, 2013. "An evaluation of impacts in “Nanoscience & nanotechnology”: steps towards standards for citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(1), pages 35-55, January.
    11. Opthof, Tobias & Leydesdorff, Loet, 2010. "Caveats for the journal and field normalizations in the CWTS (“Leiden”) evaluations of research performance," Journal of Informetrics, Elsevier, vol. 4(3), pages 423-430.
    12. Tahamtan, Iman & Bornmann, Lutz, 2018. "Creativity in science and the link to cited references: Is the creative potential of papers reflected in their cited references?," Journal of Informetrics, Elsevier, vol. 12(3), pages 906-930.
    13. Campanario, Juan Miguel, 2014. "Analysis of the distribution of cited journals according to their positions in the h-core of citing journal listed in Journal Citation Reports," Journal of Informetrics, Elsevier, vol. 8(3), pages 534-545.
    14. Roland Barthel & Roman Seidl, 2017. "Interdisciplinary Collaboration between Natural and Social Sciences – Status and Trends Exemplified in Groundwater Research," PLOS ONE, Public Library of Science, vol. 12(1), pages 1-27, January.
    15. Stephen J. Bensman, 2012. "The impact factor: its place in Garfield’s thought, in science evaluation, and in library collection management," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(2), pages 263-275, August.

  157. Lucio-Arias, Diana & Leydesdorff, Loet, 2009. "The dynamics of exchanges and references among scientific texts, and the autopoiesis of discursive knowledge," Journal of Informetrics, Elsevier, vol. 3(3), pages 261-271.

    Cited by:

    1. Burmaoglu, Serhat & Sartenaer, Olivier & Porter, Alan, 2019. "Conceptual definition of technology emergence: A long journey from philosophy of science to science policy," Technology in Society, Elsevier, vol. 59(C).
    2. Gaston Heimeriks & Ron Boschma, 2014. "The path- and place-dependent nature of scientific knowledge production in biotech 1986–2008," Journal of Economic Geography, Oxford University Press, vol. 14(2), pages 339-364.
    3. Martin Meyer & Kevin Grant & Piera Morlacchi & Dagmara Weckowska, 2014. "Triple Helix indicators as an emergent area of enquiry: a bibliometric perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 151-174, April.
    4. Loet Leydesdorff, 2011. "“Structuration” by intellectual organization: the configuration of knowledge in relations among structural components in networks of science," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(2), pages 499-520, August.
    5. Ryan Light & jimi adams, 2016. "Knowledge in motion: the evolution of HIV/AIDS research," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(3), pages 1227-1248, June.
    6. Frank Bakker & Iina Hellsten, 2013. "Capturing Online Presence: Hyperlinks and Semantic Networks in Activist Group Websites on Corporate Social Responsibility," Journal of Business Ethics, Springer, vol. 118(4), pages 807-823, December.
    7. Werner Marx & Lutz Bornmann, 2010. "How accurately does Thomas Kuhn’s model of paradigm change describe the transition from the static view of the universe to the big bang theory in cosmology?," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(2), pages 441-464, August.
    8. Boschma, Ron & Heimeriks, Gaston & Balland, Pierre-Alexandre, 2014. "Scientific knowledge dynamics and relatedness in biotech cities," Research Policy, Elsevier, vol. 43(1), pages 107-114.
    9. Frenken, Koen & Hardeman, Sjoerd & Hoekman, Jarno, 2009. "Spatial scientometrics: Towards a cumulative research program," Journal of Informetrics, Elsevier, vol. 3(3), pages 222-232.
    10. Park, Han Woo & Leydesdorff, Loet, 2013. "Decomposing social and semantic networks in emerging “big data” research," Journal of Informetrics, Elsevier, vol. 7(3), pages 756-765.
    11. Meyer, Eric T. & Schroeder, Ralph, 2009. "Untangling the web of e-Research: Towards a sociology of online knowledge," Journal of Informetrics, Elsevier, vol. 3(3), pages 246-260.
    12. Staša Milojević & Loet Leydesdorff, 2013. "Information metrics (iMetrics): a research specialty with a socio-cognitive identity?," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(1), pages 141-157, April.

  158. Ismael Rafols & Loet Leydesdorff, 2009. "Content‐based and algorithmic classifications of journals: Perspectives on the dynamics of scientific communication and indexer effects," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(9), pages 1823-1835, September.

    Cited by:

    1. Stephen Carley & Alan L. Porter, 2012. "A forward diversity index," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(2), pages 407-427, February.
    2. Diego Chavarro & Puay Tang & Ismael Rafols, 2014. "Interdisciplinarity and research on local issues: evidence from a developing country," Research Evaluation, Oxford University Press, vol. 23(3), pages 195-209.
    3. Dorta-González, Pablo & Dorta-González, María Isabel & Santos-Peñate, Dolores Rosa & Suárez-Vega, Rafael, 2014. "Journal topic citation potential and between-field comparisons: The topic normalized impact factor," Journal of Informetrics, Elsevier, vol. 8(2), pages 406-418.
    4. Wallace, Matthew L. & Ràfols, Ismael, 2018. "Institutional shaping of research priorities: A case study on avian influenza," Research Policy, Elsevier, vol. 47(10), pages 1975-1989.
    5. Rafols, Ismael & Leydesdorff, Loet & O’Hare, Alice & Nightingale, Paul & Stirling, Andy, 2012. "How journal rankings can suppress interdisciplinary research: A comparison between Innovation Studies and Business & Management," Research Policy, Elsevier, vol. 41(7), pages 1262-1282.
    6. Juan Miguel Campanario, 2018. "Are leaders really leading? Journals that are first in Web of Science subject categories in the context of their groups," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(1), pages 111-130, April.
    7. Lutz Bornmann & Loet Leydesdorff, 2011. "Which cities produce more excellent papers than can be expected? A new mapping approach, using Google Maps, based on statistical significance testing," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(10), pages 1954-1962, October.
    8. María del Carmen Calatrava Moreno & Thomas Auzinger & Hannes Werthner, 2016. "On the uncertainty of interdisciplinarity measurements due to incomplete bibliographic data," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(1), pages 213-232, April.
    9. Wei Du & Raymond Yiu Keung Lau & Jian Ma & Wei Xu, 2015. "A multi-faceted method for science classification schemes (SCSs) mapping in networking scientific resources," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 2035-2056, December.
    10. Zhou, Ping & Leydesdorff, Loet, 2011. "Fractional counting of citations in research evaluation: A cross- and interdisciplinary assessment of the Tsinghua University in Beijing," Journal of Informetrics, Elsevier, vol. 5(3), pages 360-368.
    11. Ludo Waltman & Nees Jan Eck, 2012. "A new methodology for constructing a publication-level classification system of science," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(12), pages 2378-2392, December.
    12. Loet Leydesdorff & Stephen Carley & Ismael Rafols, 2013. "Global maps of science based on the new Web-of-Science categories," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(2), pages 589-593, February.
    13. Xie, Yundong & Wu, Qiang & Zhang, Peng & Li, Xingchen, 2020. "Information Science and Library Science (IS-LS) journal subject categorisation and comparison based on editorship information," Journal of Informetrics, Elsevier, vol. 14(4).
    14. Eungi Kim & Da-Yeong Jeong, 2023. "Dominant Characteristics of Subject Categories in a Multiple-Category Hierarchical Scheme: A Case Study of Scopus," Publications, MDPI, vol. 11(4), pages 1-13, December.
    15. Jon Garner & Alan L. Porter & Nils C. Newman, 2014. "Distance and velocity measures: using citations to determine breadth and speed of research impact," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(3), pages 687-703, September.
    16. Caroline S. Wagner & Lin Zhang & Loet Leydesdorff, 2022. "A discussion of measuring the top-1% most-highly cited publications: quality and impact of Chinese papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(4), pages 1825-1839, April.
    17. Lin Zhang & Beibei Sun & Fei Shu & Ying Huang, 2022. "Comparing paper level classifications across different methods and systems: an investigation of Nature publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7633-7651, December.
    18. Thelwall, Mike & Sud, Pardeep, 2016. "National, disciplinary and temporal variations in the extent to which articles with more authors have more impact: Evidence from a geometric field normalised citation indicator," Journal of Informetrics, Elsevier, vol. 10(1), pages 48-61.
    19. Leydesdorff, Loet & Bornmann, Lutz & Zhou, Ping, 2016. "Construction of a pragmatic base line for journal classifications and maps based on aggregated journal-journal citation relations," Journal of Informetrics, Elsevier, vol. 10(4), pages 902-918.
    20. Loet Leydesdorff & Lutz Bornmann & Caroline S. Wagner, 2017. "Generating clustered journal maps: an automated system for hierarchical classification," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(3), pages 1601-1614, March.
    21. Leydesdorff, Loet & Rafols, Ismael, 2011. "Indicators of the interdisciplinarity of journals: Diversity, centrality, and citations," Journal of Informetrics, Elsevier, vol. 5(1), pages 87-100.
    22. Erjia Yan, 2014. "Topic-based Pagerank: toward a topic-level scientific evaluation," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(2), pages 407-437, August.
    23. Dorta-González, P. & Dorta-González, M.I., 2013. "Impact maturity times and citation time windows: The 2-year maximum journal impact factor," Journal of Informetrics, Elsevier, vol. 7(3), pages 593-602.
    24. Peter A. Schulz & Edmilson J. T. Manganote, 2012. "Revisiting country research profiles: learning about the scientific cultures," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(2), pages 517-531, November.
    25. Kiss, Istvan Z. & Broom, Mark & Craze, Paul G. & Rafols, Ismael, 2010. "Can epidemic models describe the diffusion of topics across disciplines?," Journal of Informetrics, Elsevier, vol. 4(1), pages 74-82.
    26. Fan, Yangliu & Lehmann, Sune & Blok, Anders, 2022. "Extracting the interdisciplinary specialty structures in social media data-based research: A clustering-based network approach," Journal of Informetrics, Elsevier, vol. 16(3).
    27. Loet Leydesdorff & Ping Zhou & Lutz Bornmann, 2013. "How can journal impact factors be normalized across fields of science? An assessment in terms of percentile ranks and fractional counts," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(1), pages 96-107, January.
    28. Urdiales, Cristina & Guzmán, Eduardo, 2024. "An automatic and association-based procedure for hierarchical publication subject categorization," Journal of Informetrics, Elsevier, vol. 18(1).
    29. Haunschild, Robin & Schier, Hermann & Marx, Werner & Bornmann, Lutz, 2018. "Algorithmically generated subject categories based on citation relations: An empirical micro study using papers on overall water splitting," Journal of Informetrics, Elsevier, vol. 12(2), pages 436-447.
    30. Ismael Rafols & Martin Meyer, 2008. "Diversity and network coherence as indicators of interdisciplinarity: Case studies in bionanoscience," SPRU Working Paper Series 167, SPRU - Science Policy Research Unit, University of Sussex Business School.
    31. Loet Leydesdorff, 2011. "“Structuration” by intellectual organization: the configuration of knowledge in relations among structural components in networks of science," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(2), pages 499-520, August.
    32. Pablo Dorta-González & María Isabel Dorta-González & Rafael Suárez-Vega, 2015. "An approach to the author citation potential: measures of scientific performance which are invariant across scientific fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1467-1496, February.
    33. Roberto Camerani & Daniele Rotolo & Nicola Grassano, 2018. "Do Firms Publish? A Multi-Sectoral Analysis," SPRU Working Paper Series 2018-21, SPRU - Science Policy Research Unit, University of Sussex Business School.
    34. Loet Leydesdorff & Lutz Bornmann, 2012. "Mapping (USPTO) patent data using overlays to Google Maps," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(7), pages 1442-1458, July.
    35. Sergey Shashnov & Maxim Kotsemir, 2018. "Research landscape of the BRICS countries: current trends in research output, thematic structures of publications, and the relative influence of partners," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(2), pages 1115-1155, November.
    36. Shu, Fei & Julien, Charles-Antoine & Zhang, Lin & Qiu, Junping & Zhang, Jing & Larivière, Vincent, 2019. "Comparing journal and paper level classifications of science," Journal of Informetrics, Elsevier, vol. 13(1), pages 202-225.
    37. Ismael Rafols & Alan Porter & Loet Leydesdorff, 2009. "Overlay Maps of Science: a New Tool for Research Policy," SPRU Working Paper Series 179, SPRU - Science Policy Research Unit, University of Sussex Business School.
    38. T. S. Evans & N. Hopkins & B. S. Kaube, 2012. "Universality of performance indicators based on citation and reference counts," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(2), pages 473-495, November.
    39. Ashraf Uddin & Jaideep Bhoosreddy & Marisha Tiwari & Vivek Kumar Singh, 2016. "A Sciento-text framework to characterize research strength of institutions at fine-grained thematic area level," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(3), pages 1135-1150, March.
    40. Yan, Erjia & Ding, Ying & Cronin, Blaise & Leydesdorff, Loet, 2013. "A bird's-eye view of scientific trading: Dependency relations among fields of science," Journal of Informetrics, Elsevier, vol. 7(2), pages 249-264.
    41. Yan, Erjia, 2014. "Research dynamics: Measuring the continuity and popularity of research topics," Journal of Informetrics, Elsevier, vol. 8(1), pages 98-110.
    42. Wang, Qi & Waltman, Ludo, 2016. "Large-scale analysis of the accuracy of the journal classification systems of Web of Science and Scopus," Journal of Informetrics, Elsevier, vol. 10(2), pages 347-364.
    43. Loet Leydesdorff & Caroline S. Wagner & Lutz Bornmann, 2018. "Betweenness and diversity in journal citation networks as measures of interdisciplinarity—A tribute to Eugene Garfield," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(2), pages 567-592, February.
    44. Loet Leydesdorff, 2012. "Alternatives to the journal impact factor: I3 and the top-10% (or top-25%?) of the most-highly cited papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(2), pages 355-365, August.
    45. Wagner, Caroline S. & Roessner, J. David & Bobb, Kamau & Klein, Julie Thompson & Boyack, Kevin W. & Keyton, Joann & Rafols, Ismael & Börner, Katy, 2011. "Approaches to understanding and measuring interdisciplinary scientific research (IDR): A review of the literature," Journal of Informetrics, Elsevier, vol. 5(1), pages 14-26.
    46. Loet Leydesdorff, 2013. "An evaluation of impacts in “Nanoscience & nanotechnology”: steps towards standards for citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(1), pages 35-55, January.
    47. Leydesdorff, Loet & Rafols, Ismael, 2012. "Interactive overlays: A new method for generating global journal maps from Web-of-Science data," Journal of Informetrics, Elsevier, vol. 6(2), pages 318-332.
    48. P. Dorta-González & M. I. Dorta-González, 2013. "Comparing journals from different fields of science and social science through a JCR subject categories normalized impact factor," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(2), pages 645-672, May.
    49. Cecere, Grazia & Martinelli, Arianna, 2017. "Drivers of knowledge accumulation in electronic waste management: An analysis of publication data," Research Policy, Elsevier, vol. 46(5), pages 925-938.
    50. Loet Leydesdorff & Paul Wouters & Lutz Bornmann, 2016. "Professional and citizen bibliometrics: complementarities and ambivalences in the development and use of indicators—a state-of-the-art report," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 2129-2150, December.
    51. Cassidy R. Sugimoto, 2011. "Looking across communicative genres: a call for inclusive indicators of interdisciplinarity," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(2), pages 449-461, February.
    52. Opthof, Tobias & Leydesdorff, Loet, 2010. "Caveats for the journal and field normalizations in the CWTS (“Leiden”) evaluations of research performance," Journal of Informetrics, Elsevier, vol. 4(3), pages 423-430.
    53. Loet Leydesdorff & Tobias Opthof, 2012. "A rejoinder on energy versus impact indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(2), pages 745-748, February.
    54. Goldman, Alyssa W., 2014. "Conceptualizing the interdisciplinary diffusion and evolution of emerging fields: The case of systems biology," Journal of Informetrics, Elsevier, vol. 8(1), pages 43-58.
    55. Elías Sanz-Casado & Daniela Filippo & Rafael Aleixandre Benavent & Vidar Røeggen & Janne Pölönen, 2021. "Impact and visibility of Norwegian, Finnish and Spanish journals in the fields of humanities," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(11), pages 9031-9049, November.
    56. Gómez-Núñez, Antonio J. & Batagelj, Vladimir & Vargas-Quesada, Benjamín & Moya-Anegón, Félix & Chinchilla-Rodríguez, Zaida, 2014. "Optimizing SCImago Journal & Country Rank classification by community detection," Journal of Informetrics, Elsevier, vol. 8(2), pages 369-383.
    57. Wolfram, Dietmar & Zhao, Yuehua, 2014. "A comparison of journal similarity across six disciplines using citing discipline analysis," Journal of Informetrics, Elsevier, vol. 8(4), pages 840-853.

  159. Leo Egghe & Loet Leydesdorff, 2009. "The relation between Pearson's correlation coefficient r and Salton's cosine measure," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(5), pages 1027-1036, May.

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    1. Sisman, S. & Aydinoglu, A.C., 2022. "Improving performance of mass real estate valuation through application of the dataset optimization and Spatially Constrained Multivariate Clustering Analysis," Land Use Policy, Elsevier, vol. 119(C).
    2. Cristian Colliander & Per Ahlgren, 2012. "Experimental comparison of first and second-order similarities in a scientometric context," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(2), pages 675-685, February.
    3. Chen, Lixin, 2017. "Do patent citations indicate knowledge linkage? The evidence from text similarities between patents and their citations," Journal of Informetrics, Elsevier, vol. 11(1), pages 63-79.
    4. Cantone, Giulio Giacomo & Tomaselli, Venera, 2024. "On the Coherence of Composite Indexes: Multiversal Model and Specification Analysis for an Index of Well-Being," MetaArXiv d5y26, Center for Open Science.
    5. Muhammad Farhan Jalil & Azlan Ali & Rashidah Kamarulzaman, 2023. "The influence of psychological capital and social capital on women entrepreneurs’ intentions: the mediating role of attitude," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-14, December.
    6. Patrick Georges & Aylin Seckin, 2022. "Music information visualization and classical composers discovery: an application of network graphs, multidimensional scaling, and support vector machines," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(5), pages 2277-2311, May.
    7. Manuel Castriotta & Maria Chiara Guardo, 2016. "Disentangling the automotive technology structure: a patent co-citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(2), pages 819-837, May.
    8. Jun-Ping Qiu & Ke Dong & Hou-Qiang Yu, 2014. "Comparative study on structure and correlation among author co-occurrence networks in bibliometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1345-1360, November.
    9. Georg Groh & Christoph Fuchs, 2011. "Multi-modal social networks for modeling scientific fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(2), pages 569-590, November.
    10. Leydesdorff, Loet & Welbers, Kasper, 2011. "The semantic mapping of words and co-words in contexts," Journal of Informetrics, Elsevier, vol. 5(3), pages 469-475.
    11. Th I Götz & G Lahmer & V Strnad & Ch Bert & B Hensel & A M Tomé & E W Lang, 2017. "A tool to automatically analyze electromagnetic tracking data from high dose rate brachytherapy of breast cancer patients," PLOS ONE, Public Library of Science, vol. 12(9), pages 1-31, September.
    12. Dong, Keqiang & Long, Linan & Zhang, Hong & Gao, You, 2018. "The mutual information based minimum spanning tree to detect and evaluate dependencies between aero-engine gas path system variables," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 506(C), pages 248-253.
    13. Masih Hosseinzadeh & Hossein Mashhadimoslem & Farid Maleki & Ali Elkamel, 2022. "Prediction of Solid Conversion Process in Direct Reduction Iron Oxide Using Machine Learning," Energies, MDPI, vol. 15(24), pages 1-25, December.
    14. Loet Leydesdorff, 2011. "“Structuration” by intellectual organization: the configuration of knowledge in relations among structural components in networks of science," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(2), pages 499-520, August.
    15. Brian L. Egleston & Tian Bai & Richard J. Bleicher & Stanford J. Taylor & Michael H. Lutz & Slobodan Vucetic, 2021. "Statistical inference for natural language processing algorithms with a demonstration using type 2 diabetes prediction from electronic health record notes," Biometrics, The International Biometric Society, vol. 77(3), pages 1089-1100, September.
    16. Frank Bakker & Iina Hellsten, 2013. "Capturing Online Presence: Hyperlinks and Semantic Networks in Activist Group Websites on Corporate Social Responsibility," Journal of Business Ethics, Springer, vol. 118(4), pages 807-823, December.
    17. Shuqing Li & Ying Sun & Dagobert Soergel, 2015. "A new method for automatically constructing domain-oriented term taxonomy based on weighted word co-occurrence analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(3), pages 1023-1042, June.
    18. Leydesdorff, Loet & Rafols, Ismael, 2012. "Interactive overlays: A new method for generating global journal maps from Web-of-Science data," Journal of Informetrics, Elsevier, vol. 6(2), pages 318-332.
    19. Viergutz, Tim & Schulze-Ehlers, Birgit, 2018. "The use of hybrid scientometric clustering for systematic literature reviews in business and economics," DARE Discussion Papers 1804, Georg-August University of Göttingen, Department of Agricultural Economics and Rural Development (DARE).
    20. Raamesh Deshpande & Benjamin VanderSluis & Chad L Myers, 2013. "Comparison of Profile Similarity Measures for Genetic Interaction Networks," PLOS ONE, Public Library of Science, vol. 8(7), pages 1-11, July.
    21. Bu, Yi & Ni, Shaokang & Huang, Win-bin, 2017. "Combining multiple scholarly relationships with author cocitation analysis: A preliminary exploration on improving knowledge domain mappings," Journal of Informetrics, Elsevier, vol. 11(3), pages 810-822.
    22. Jorge Martinez-Gil & José F. Aldana-Montes, 2013. "Semantic similarity measurement using historical google search patterns," Information Systems Frontiers, Springer, vol. 15(3), pages 399-410, July.
    23. Wolfram, Dietmar & Zhao, Yuehua, 2014. "A comparison of journal similarity across six disciplines using citing discipline analysis," Journal of Informetrics, Elsevier, vol. 8(4), pages 840-853.

  160. Leydesdorff, Loet & Wagner, Caroline, 2009. "Macro-level indicators of the relations between research funding and research output," Journal of Informetrics, Elsevier, vol. 3(4), pages 353-362.

    Cited by:

    1. Jiang Wu & Miao Jin & Xiu-Hao Ding, 2015. "Diversity of individual research disciplines in scientific funding," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(2), pages 669-686, May.
    2. Ping Zhou & Youneng Pan, 2015. "A comparative analysis of publication portfolios of selected economies," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(2), pages 825-842, November.
    3. Mitja Ruzzier & Tanja Kosi AntoliÄ & Doris Gomezelj Omerzel, 2016. "R%D and education resources in innovation processes: evidence from Slovenia and the Visegrad Group," International Journal of Sustainable Economy, Inderscience Enterprises Ltd, vol. 8(2), pages 144-162.
    4. Barbara S. Lancho-Barrantes & Hector G. Ceballos-Cancino & Francisco J. Cantu-Ortiz, 2021. "Comparing the efficiency of countries to assimilate and apply research investment," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(4), pages 1347-1369, August.
    5. Ashkan Ebadi & Andrea Schiffauerova, 2016. "How to boost scientific production? A statistical analysis of research funding and other influencing factors," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(3), pages 1093-1116, March.
    6. Ashkan Ebadi & Andrea Schiffauerova, 2015. "How to Receive More Funding for Your Research? Get Connected to the Right People!," PLOS ONE, Public Library of Science, vol. 10(7), pages 1-19, July.
    7. Lu, Kun & Wolfram, Dietmar, 2010. "Geographic characteristics of the growth of informetrics literature 1987–2008," Journal of Informetrics, Elsevier, vol. 4(4), pages 591-601.
    8. Aparna Basu, 2014. "The Albuquerque model and efficiency indicators in national scientific productivity with respect to manpower and funding in science," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(2), pages 531-539, August.
    9. Yuret, Tolga, 2017. "Do researchers pay attention to publication subsidies?," Journal of Informetrics, Elsevier, vol. 11(2), pages 423-434.
    10. Roman Jurowetzki & Rasmus Lema & Bengt-Åke Lundvall, 2018. "Combining Innovation Systems and Global Value Chains for Development: Towards a Research Agenda," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 30(3), pages 364-388, July.
    11. Ritzen, Jo, 2020. "Public universities, in search of enhanced funding," MERIT Working Papers 2020-020, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    12. János József Tóth & Gergő Háló & Manuel Goyanes, 2023. "Beyond views, productivity, and citations: measuring geopolitical differences of scientific impact in communication research," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(10), pages 5705-5729, October.
    13. Zhenhua Yang (Alamo) & Yanmei Xu, 2021. "The Role of Collaboration Breadth Attributes in Research Project and Innovation: The Example of National Funded Projects in China," Sustainability, MDPI, vol. 13(3), pages 1-16, January.
    14. Zoltán Kaló & Loek Hendrik Matheo van den Akker & Zoltán Vokó & Marcell Csanádi & János György Pitter, 2019. "Is there a fair allocation of healthcare research funds by the European Union?," PLOS ONE, Public Library of Science, vol. 14(4), pages 1-13, April.
    15. Cimini, Giulio & Zaccaria, Andrea & Gabrielli, Andrea, 2016. "Investigating the interplay between fundamentals of national research systems: Performance, investments and international collaborations," Journal of Informetrics, Elsevier, vol. 10(1), pages 200-211.
    16. Young-Hwan Lee, 2021. "Determinants of research productivity in Korean Universities: the role of research funding," The Journal of Technology Transfer, Springer, vol. 46(5), pages 1462-1486, October.
    17. Zaida Chinchilla-Rodríguez & Cassidy R Sugimoto & Vincent Larivière, 2019. "Follow the leader: On the relationship between leadership and scholarly impact in international collaborations," PLOS ONE, Public Library of Science, vol. 14(6), pages 1-18, June.
    18. Tânia Pinto & Aurora A. C. Teixeira, 2020. "The impact of research output on economic growth by fields of science: a dynamic panel data analysis, 1980–2016," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(2), pages 945-978, May.
    19. Hamdi A. Al-Jamimi & Galal M. BinMakhashen & Lutz Bornmann, 2022. "Use of bibliometrics for research evaluation in emerging markets economies: a review and discussion of bibliometric indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(10), pages 5879-5930, October.
    20. Álvarez-Bornstein, Belén & Bordons, María, 2021. "Is funding related to higher research impact? Exploring its relationship and the mediating role of collaboration in several disciplines," Journal of Informetrics, Elsevier, vol. 15(1).
    21. Lili Miao & Vincent Larivi`ere & Feifei Wang & Yong-Yeol Ahn & Cassidy R. Sugimoto, 2023. "Cooperation and interdependence in global science funding," Papers 2308.08630, arXiv.org, revised Feb 2024.
    22. Erjia Yan & Chaojiang Wu & Min Song, 2018. "The funding factor: a cross-disciplinary examination of the association between research funding and citation impact," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(1), pages 369-384, April.
    23. Abramo, Giovanni & D'Angelo, Ciriaco Andrea & Di Costa, Flavia, 2022. "Revealing the scientific comparative advantage of nations: Common and distinctive features," Journal of Informetrics, Elsevier, vol. 16(1).
    24. Xianwen Wang & Di Liu & Kun Ding & Xinran Wang, 2012. "Science funding and research output: a study on 10 countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(2), pages 591-599, May.
    25. Kovac, Dejan & Scrbec, Nikol & Podobnik, Boris, 2018. "Does it payoff to research economics—A tale of citation, knowledge and economic growth in transition countries," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 505(C), pages 293-305.
    26. R. D. Shelton, 2020. "Scientometric laws connecting publication counts to national research funding," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(1), pages 181-206, April.
    27. Jacek Bogocz & Andrzej Bak & Jaroslaw Polanski, 2014. "No free lunches in nature? An analysis of the regional distribution of the affiliations of Nature publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 547-568, October.
    28. Tanel Hirv, 2022. "The interplay of the size of the research system, ways of collaboration, level, and method of funding in determining bibliometric outputs," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(3), pages 1295-1316, March.
    29. Koski, Timo & Sandström, Erik & Sandström, Ulf, 2016. "Towards field-adjusted production: Estimating research productivity from a zero-truncated distribution," Journal of Informetrics, Elsevier, vol. 10(4), pages 1143-1152.
    30. Dangzhi Zhao, 2010. "Characteristics and impact of grant-funded research: a case study of the library and information science field," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(2), pages 293-306, August.
    31. Tânia Pinto & Aurora Teixeira, 2023. "Does scientific research output matter for Portugal’s economic growth?," GEE Papers 0174, Gabinete de Estratégia e Estudos, Ministério da Economia, revised Jul 2023.
    32. Fredrik Niclas Piro, 2019. "The R&D composition of European countries: concentrated versus dispersed profiles," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 1095-1119, May.
    33. Sakiru Adebola Solarin & Yuen Yee Yen, 2016. "A global analysis of the impact of research output on economic growth," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(2), pages 855-874, August.

  161. Diana Lucio‐Arias & Loet Leydesdorff, 2009. "An indicator of research front activity: Measuring intellectual organization as uncertainty reduction in document sets," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(12), pages 2488-2498, December.

    Cited by:

    1. Inchae Park & Keeeun Lee & Byungun Yoon, 2015. "Exploring Promising Research Frontiers Based on Knowledge Maps in the Solar Cell Technology Field," Sustainability, MDPI, vol. 7(10), pages 1-30, October.
    2. Inchae Park & Byungun Yoon, 2018. "Identifying Promising Research Frontiers of Pattern Recognition through Bibliometric Analysis," Sustainability, MDPI, vol. 10(11), pages 1-32, November.
    3. Leydesdorff, Loet & Bornmann, Lutz & Marx, Werner & Milojević, Staša, 2014. "Referenced Publication Years Spectroscopy applied to iMetrics: Scientometrics, Journal of Informetrics, and a relevant subset of JASIST," Journal of Informetrics, Elsevier, vol. 8(1), pages 162-174.
    4. Dragan Ivanović & Yuh-Shan Ho, 2014. "Independent publications from Serbia in the Science Citation Index Expanded: a bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 603-622, October.
    5. Rotolo, Daniele & Hicks, Diana & Martin, Ben R., 2015. "What is an emerging technology?," Research Policy, Elsevier, vol. 44(10), pages 1827-1843.
    6. Dragan Ivanović & Hui-Zhen Fu & Yuh-Shan Ho, 2015. "Publications from Serbia in the Science Citation Index Expanded: a bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(1), pages 145-160, October.
    7. Edwin Horlings & Thomas Gurney, 2013. "Search strategies along the academic lifecycle," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(3), pages 1137-1160, March.
    8. Leydesdorff, Loet & Rafols, Ismael, 2012. "Interactive overlays: A new method for generating global journal maps from Web-of-Science data," Journal of Informetrics, Elsevier, vol. 6(2), pages 318-332.

  162. Leydesdorff, Loet & Wagner, Caroline S., 2008. "International collaboration in science and the formation of a core group," Journal of Informetrics, Elsevier, vol. 2(4), pages 317-325.

    Cited by:

    1. Caloffi, Annalisa & Colovic, Ana & Rizzoli, Valentina & Rossi, Federica, 2023. "Innovation intermediaries' types and functions: A computational analysis of the literature," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    2. Pu Han & Jin Shi & Xiaoyan Li & Dongbo Wang & Si Shen & Xinning Su, 2014. "International collaboration in LIS: global trends and networks at the country and institution level," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(1), pages 53-72, January.
    3. Wah Yun Low & Kwan Hoong Ng & M. A. Kabir & Ai Peng Koh & Janaki Sinnasamy, 2014. "Trend and impact of international collaboration in clinical medicine papers published in Malaysia," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(2), pages 1521-1533, February.
    4. Andreas Bjurström & Merritt Polk, 2011. "Climate change and interdisciplinarity: a co-citation analysis of IPCC Third Assessment Report," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(3), pages 525-550, June.
    5. Ryan Zelnio, 2012. "Identifying the global core-periphery structure of science," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(2), pages 601-615, May.
    6. Gregorio González-Alcaide & Héctor Pinargote & José M. Ramos, 2020. "From cut-points to key players in co-authorship networks: a case study in ventilator-associated pneumonia research," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(2), pages 707-733, May.
    7. Drivas, Kyriakos & Kaplanis, Ioannis, 2020. "The Role of International Collaborations in Securing the Patent Grant," MPRA Paper 99520, University Library of Munich, Germany.
    8. Frenken, Koen & Heimeriks, Gaston J. & Hoekman, Jarno, 2017. "What drives university research performance? An analysis using the CWTS Leiden Ranking data," Journal of Informetrics, Elsevier, vol. 11(3), pages 859-872.
    9. Sameer Kumar & Vala Ali Rohani & Kuru Ratnavelu, 2014. "International research collaborations of ASEAN Nations in economics, 1979–2010," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 847-867, October.
    10. Fenggao Niu & Junping Qiu, 2014. "Network structure, distribution and the growth of Chinese international research collaboration," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(2), pages 1221-1233, February.
    11. Svein Kyvik & Ingvild Reymert, 2017. "Research collaboration in groups and networks: differences across academic fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(2), pages 951-967, November.
    12. Gergely Horvath & Mofei Jia, 2024. "The impact of social status on the formation of collaborative ties and effort provision: An experimental study," Papers 2403.05830, arXiv.org.
    13. Nelius Boshoff, 2010. "South–South research collaboration of countries in the Southern African Development Community (SADC)," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(2), pages 481-503, August.
    14. Marcin Kozak & Lutz Bornmann & Loet Leydesdorff, 2015. "How have the Eastern European countries of the former Warsaw Pact developed since 1990? A bibliometric study," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1101-1117, February.
    15. Leydesdorff, Loet & Wagner, Caroline, 2009. "Macro-level indicators of the relations between research funding and research output," Journal of Informetrics, Elsevier, vol. 3(4), pages 353-362.
    16. Susan Biancani & Daniel McFarland, 2013. "Social Networks Research in Higher Education," Voprosy obrazovaniya / Educational Studies Moscow, National Research University Higher School of Economics, issue 4, pages 85-126.
    17. Ming Tang & Huchang Liao & Zhengjun Wan & Enrique Herrera-Viedma & Marc A. Rosen, 2018. "Ten Years of Sustainability (2009 to 2018): A Bibliometric Overview," Sustainability, MDPI, vol. 10(5), pages 1-21, May.
    18. Huang, Mu-Hsuan & Dong, Huei-Ru & Chen, Dar-Zen, 2012. "Globalization of collaborative creativity through cross-border patent activities," Journal of Informetrics, Elsevier, vol. 6(2), pages 226-236.
    19. He, Bing & Ding, Ying & Tang, Jie & Reguramalingam, Vignesh & Bollen, Johan, 2013. "Mining diversity subgraph in multidisciplinary scientific collaboration networks: A meso perspective," Journal of Informetrics, Elsevier, vol. 7(1), pages 117-128.
    20. Negin Rahmani & Alireza Salehi & Hossein Molavi Vardanjani & Maryam Marzban & Arezoo Behbood, 2020. "Using STROBE checklist to assess the reporting quality of observational studies affiliated with Shiraz University of Medical Sciences, and its correlates: a scientometric study from Iran," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(2), pages 989-1001, February.
    21. Jane Payumo & Taurean Sutton & Derek Brown & Dan Nordquist & Marc Evans & Danna Moore & Prema Arasu, 2017. "Input–output analysis of international research collaborations: a case study of five U.S. universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1657-1671, June.
    22. Ortega, José Luis, 2014. "Influence of co-authorship networks in the research impact: Ego network analyses from Microsoft Academic Search," Journal of Informetrics, Elsevier, vol. 8(3), pages 728-737.
    23. Eui-Bang Lee, 2024. "The Study of ICT Sector’s Network Efficiency in Korea: Influence of Import and Sector Difference," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(2), pages 5329-5358, June.
    24. Eli Rudinow Saetnan & Richard Philip Kipling, 2016. "Evaluating a European knowledge hub on climate change in agriculture: Are we building a better connected community?," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 1057-1074, November.
    25. Franc Mali & Toni Pustovrh & Rok Platinovšek & Luka Kronegger & Anuška Ferligoj, 2017. "The effects of funding and co-authorship on research performance in a small scientific community," Science and Public Policy, Oxford University Press, vol. 44(4), pages 486-496.
    26. Giulio Marini, 2021. "Joining the European Union as an advantage in science performativity. A quasi-experimental study," DoQSS Working Papers 21-09, Quantitative Social Science - UCL Social Research Institute, University College London.
    27. Ortega, José Luis & Aguillo, Isidro F., 2013. "Institutional and country collaboration in an online service of scientific profiles: Google Scholar Citations," Journal of Informetrics, Elsevier, vol. 7(2), pages 394-403.
    28. Zsolt Kohus & Márton Demeter & László Kun & Eszter Lukács & Katalin Czakó & Gyula Péter Szigeti, 2022. "A Study of the Relation between Byline Positions of Affiliated/Non-Affiliated Authors and the Scientific Impact of European Universities in Times Higher Education World University Rankings," Sustainability, MDPI, vol. 14(20), pages 1-14, October.
    29. Yue Wang & Ning Li & Bin Zhang & Qian Huang & Jian Wu & Yang Wang, 2023. "The effect of structural holes on producing novel and disruptive research in physics," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(3), pages 1801-1823, March.
    30. Tokmachev, Andrey M., 2023. "Regular collective dynamics of research collaboration," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 610(C).
    31. Miguel A. Ortiz Acuña & Adiel T. Almeida Filho & Francisco S. Ramos, 2024. "Modelling the triple helix system innovation of the main economies from Latin America: a coalitional game theory approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(6), pages 3245-3270, June.
    32. Jorge Nogueira de Paiva Britto & Leonardo Costa Ribeiro & Eduardo da Motta e Albuquerque, 2021. "Global systems of innovation: introductory notes on a new layer and a new hierarchy in innovation systems," Innovation and Development, Taylor & Francis Journals, vol. 11(2-3), pages 259-279, September.
    33. György Csomós & Jenő Zsolt Farkas, 2023. "Understanding the increasing market share of the academic publisher “Multidisciplinary Digital Publishing Institute” in the publication output of Central and Eastern European countries: a case study o," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(1), pages 803-824, January.
    34. Kadri Ukrainski & Jaan Masso & Hanna Kanep, 2014. "Cooperation patterns in science within Europe: the standpoint of small countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(3), pages 845-863, June.
    35. Vogel, Rick & Hattke, Fabian & Petersen, Jessica, 2017. "Journal rankings in management and business studies: What rules do we play by?," Research Policy, Elsevier, vol. 46(10), pages 1707-1722.
    36. Cimini, Giulio & Zaccaria, Andrea & Gabrielli, Andrea, 2016. "Investigating the interplay between fundamentals of national research systems: Performance, investments and international collaborations," Journal of Informetrics, Elsevier, vol. 10(1), pages 200-211.
    37. Ping Zhou & Xiaojing Cai & Xiaozan Lyu, 2020. "An in-depth analysis of government funding and international collaboration in scientific research," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1331-1347, November.
    38. Stanislav Avdeev, 2019. "International Collaboration In Higher Education Research: A Gravity Model Approach," HSE Working papers WP BRP 54/EDU/2019, National Research University Higher School of Economics.
    39. Yuan Chih Fu & Marcelo Marques & Yuen-Hsien Tseng & Justin J. W. Powell & David P. Baker, 2022. "An evolving international research collaboration network: spatial and thematic developments in co-authored higher education research, 1998–2018," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(3), pages 1403-1429, March.
    40. Chih-Hung Yuan & Yenchun Jim Wu & Kune-muh Tsai, 2019. "Supply Chain Innovation in Scientific Research Collaboration," Sustainability, MDPI, vol. 11(3), pages 1-12, January.
    41. Malgorzata J. Krawczyk & Mateusz Libirt & Krzysztof Malarz, 2024. "Analysis of scientific cooperation at the international and intercontinental level," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(8), pages 4983-5002, August.
    42. Carmen Osuna & Laura Cruz Castro & Luis Sanz Menéndez, 2010. "Knocking down some Assumptions about the Effects of Evaluation Systems on Publications," Working Papers 1010, Instituto de Políticas y Bienes Públicos (IPP), CSIC.
    43. Baruffaldi, Stefano H. & Di Maio, Giorgio & Landoni, Paolo, 2017. "Determinants of PhD holders’ use of social networking sites: An analysis based on LinkedIn," Research Policy, Elsevier, vol. 46(4), pages 740-750.
    44. Jiang, Ling (Alice) & Zhu, Nibing & Yang, Zhilin & Xu, Shen & Jun, Minjoon, 2018. "The relationships between distance factors and international collaborative research outcomes: A bibliometric examination," Journal of Informetrics, Elsevier, vol. 12(3), pages 618-630.
    45. Lili Wang & Xianwen Wang & Niels J. Philipsen, 2017. "Network structure of scientific collaborations between China and the EU member states," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(2), pages 765-781, November.
    46. Avinash Kshitij & Jaideep Ghosh & Brij Mohan Gupta, 2015. "Embedded information structures and functions of co-authorship networks: evidence from cancer research collaboration in India," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 285-306, January.
    47. A. Velez-Estevez & P. García-Sánchez & J. A. Moral-Munoz & M. J. Cobo, 2022. "Why do papers from international collaborations get more citations? A bibliometric analysis of Library and Information Science papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7517-7555, December.
    48. Jonathan Adams & Jo Johnson & Jonathan Grant, 2022. "The rise of UK–China research collaboration: Trends, opportunities and challenges [The West Should Start Sending Its Scientists to China]," Science and Public Policy, Oxford University Press, vol. 49(1), pages 132-147.
    49. Peter Mutschke & Philipp Mayr, 2015. "Science models for search: a study on combining scholarly information retrieval and scientometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(3), pages 2323-2345, March.
    50. Dag W. Aksnes & Fredrik Niclas Piro & Kristoffer Rørstad, 2019. "Gender gaps in international research collaboration: a bibliometric approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(2), pages 747-774, August.
    51. Han-Wen Chang & Mu-Hsuan Huang, 2014. "Cohesive subgroups in the international collaboration network in astronomy and astrophysics," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(3), pages 1587-1607, December.
    52. Hagen, Nils T., 2015. "Contributory inequality alters assessment of academic output gap between comparable countries," Journal of Informetrics, Elsevier, vol. 9(3), pages 629-641.
    53. Michael Cary & Taylor Rockwell, 2020. "International Collaboration in Open Access Publications: How Income Shapes International Collaboration," Publications, MDPI, vol. 8(1), pages 1-24, February.
    54. George A. Barnett & Han Woo Park & Ke Jiang & Chuan Tang & Isidro F. Aguillo, 2014. "A multi-level network analysis of web-citations among the world’s universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 5-26, April.
    55. Holger Graf & Martin Kalthaus, 2016. "International Research Networks: Determinants of Country Embeddedness," Jena Economics Research Papers 2016-016, Friedrich-Schiller-University Jena.
    56. De Paulo, A.F. & Porto, G.S., 2023. "Unveiling the cooperation dynamics in the photovoltaic technologies’ development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 187(C).
    57. Young-Sun Jang & Young Joo Ko, 2019. "How latecomers catch up to leaders in high-energy physics as Big Science: transition from national system to international collaboration," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(1), pages 437-480, April.
    58. Jane G. Payumo & Jamie Monson & Amy Jamison & Bradley W. Fenwick, 2019. "Metrics-based profiling of university research engagement with Africa: research management, gender, and internationalization perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(2), pages 675-698, November.
    59. Vincent Larivière, 2012. "On the shoulders of students? The contribution of PhD students to the advancement of knowledge," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(2), pages 463-481, February.
    60. Jyoti Dua & Vivek Kumar Singh & Hiran H. Lathabai, 2023. "Measuring and characterizing international collaboration patterns in Indian scientific research," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(9), pages 5081-5116, September.
    61. Theresa Velden & Asif-ul Haque & Carl Lagoze, 2010. "A new approach to analyzing patterns of collaboration in co-authorship networks: mesoscopic analysis and interpretation," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(1), pages 219-242, October.
    62. Frenken, Koen & Hardeman, Sjoerd & Hoekman, Jarno, 2009. "Spatial scientometrics: Towards a cumulative research program," Journal of Informetrics, Elsevier, vol. 3(3), pages 222-232.
    63. Tolga Yuret, 2016. "International trade in ideas," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(3), pages 899-916, June.
    64. Peter Mutschke & Philipp Mayr & Philipp Schaer & York Sure, 2011. "Science models as value-added services for scholarly information systems," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(1), pages 349-364, October.
    65. Candelaria Barrios & Esther Flores & M. Ángeles Martínez & Marta Ruiz-Martínez, 2019. "Is there convergence in international research collaboration? An exploration at the country level in the basic and applied science fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(2), pages 631-659, August.
    66. Sujit Bhattacharya & Shilpa & Arshia Kaul, 2015. "Emerging countries assertion in the global publication landscape of science: a case study of India," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(2), pages 387-411, May.
    67. Nataliya Matveeva & Ivan Sterligov & Andrey Lovakov, 2022. "International scientific collaboration of post-Soviet countries: a bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(3), pages 1583-1607, March.
    68. Hsiehchen, David & Espinoza, Magdalena & Hsieh, Antony, 2016. "Hypoallometric scaling in international collaborations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 444(C), pages 188-193.
    69. Ki-Seok Kwon & Han Woo Park & Minho So & Loet Leydesdorff, 2012. "Has globalization strengthened South Korea’s national research system? National and international dynamics of the Triple Helix of scientific co-authorship relationships in South Korea," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 163-176, January.
    70. Per Ahlgren & Olle Persson & Robert Tijssen, 2013. "Geographical distance in bibliometric relations within epistemic communities," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(2), pages 771-784, May.
    71. Charles J. Gomez & Andrew C. Herman & Paolo Parigi, 2022. "Leading countries in global science increasingly receive more citations than other countries doing similar research," Nature Human Behaviour, Nature, vol. 6(7), pages 919-929, July.
    72. Qinchang Gui & Chengliang Liu & DeBin Du, 2019. "The Structure and Dynamic of Scientific Collaboration Network among Countries along the Belt and Road," Sustainability, MDPI, vol. 11(19), pages 1-17, September.
    73. Andrey Lovakov & Anna Panova & Maria Yudkevich, 2022. "Global visibility of nationally published research output: the case of the post-Soviet region," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(5), pages 2643-2659, May.
    74. Jonathan Adams & Karen Gurney & Daniel Hook & Loet Leydesdorff, 2014. "International collaboration clusters in Africa," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(1), pages 547-556, January.
    75. A. M. Soehartono & L. G. Yu & K. A. Khor, 2022. "Essential signals in publication trends and collaboration patterns in global Research Integrity and Research Ethics (RIRE)," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7487-7497, December.
    76. Wentian Shi & Wenlong Yang & Debin Du, 2020. "The Scientific Cooperation Network of Chinese Scientists and Its Proximity Mechanism," Sustainability, MDPI, vol. 12(2), pages 1-18, January.
    77. Sandro Tarkhan-Mouravi, 2020. "Traditional indicators inflate some countries’ scientific impact over 10 times," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(1), pages 337-356, April.
    78. Sujit Bhattacharya & Arshia Kaul & Shilpa & Praveen Sharma, 2015. "Role of bilateral institution in influencing collaboration: case study of CEFIPRA—a bilateral S&T institution established by India and France," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 169-194, January.
    79. Vasaf, Esmaeil & Sanatkhani, Mahboobeh, 2014. "Dynamic of Publication Network in German Photovoltaic Industry," MPRA Paper 65453, University Library of Munich, Germany.
    80. Mascarello, Júlia & Lehmann, Rosa & Giurca, Alexandru, 2024. "Bioeconomy science collaboration between Brazil and Germany – On equal footing?," Forest Policy and Economics, Elsevier, vol. 161(C).
    81. Shir Aviv-Reuven & Ariel Rosenfeld, 2021. "Publication patterns’ changes due to the COVID-19 pandemic: a longitudinal and short-term scientometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(8), pages 6761-6784, August.
    82. Han-Wen Chang & Mu-Hsuan Huang, 2013. "Prominent institutions in international collaboration network in astronomy and astrophysics," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(2), pages 443-460, November.
    83. Ali Gazni & Cassidy R. Sugimoto & Fereshteh Didegah, 2012. "Mapping world scientific collaboration: Authors, institutions, and countries," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(2), pages 323-335, February.
    84. Tošić, Aleksandar & Vičič, Jernej, 2021. "Use of Benford's law on academic publishing networks," Journal of Informetrics, Elsevier, vol. 15(3).
    85. Jyoti Dua & Hiran H. Lathabai & Vivek Kumar Singh, 2023. "Measuring and characterizing research collaboration in SAARC countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(2), pages 1265-1294, February.
    86. Qinwei Cao & Manqing Tan & Peng Xie & Jian Huang, 2022. "Can emerging economies take advantage of their population size to gain international academic recognition? Evidence from key universities in China," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(2), pages 927-957, February.
    87. Limei Zhao & Qingpu Zhang & Liang Wang, 2014. "Benefit distribution mechanism in the team members’ scientific research collaboration network," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(2), pages 363-389, August.
    88. Aashish Mehta & Patrick Herron & Yasuyuki Motoyama & Richard Appelbaum & Timothy Lenoir, 2012. "Globalization and de-globalization in nanotechnology research: the role of China," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(2), pages 439-458, November.
    89. Minsoo Choi & Heejin Lee & Hanah Zoo, 2021. "Scientific knowledge production and research collaboration between Australia and South Korea: patterns and dynamics based on co-authorship," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 683-706, January.

  163. Han Woo Park & Loet Leydesdorff, 2008. "Korean journals in the Science Citation Index: What do they reveal about the intellectual structure of S&T in Korea?," Scientometrics, Springer;Akadémiai Kiadó, vol. 75(3), pages 439-462, June.

    Cited by:

    1. Jinseok Kim & Liang Tao & Seok-Hyoung Lee & Jana Diesner, 2016. "Evolution and structure of scientific co-publishing network in Korea between 1948–2011," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(1), pages 27-41, April.
    2. Matthew A. Shapiro & Han Woo Park, 2012. "Regional development in South Korea: accounting for research area in centrality and networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 271-287, January.
    3. Freeman, Richard Barry, 2015. "Knowledge, Knowledge … Knowledge for My Economy," Scholarly Articles 33496270, Harvard University Department of Economics.
    4. Park, Han Woo & Leydesdorff, Loet, 2010. "Longitudinal trends in networks of university-industry-government relations in South Korea: The role of programmatic incentives," Research Policy, Elsevier, vol. 39(5), pages 640-649, June.
    5. Arif Mehmood & Byung-Won On & Ingyu Lee & Han Woo Park & Gyu Sang Choi, 2018. "Corroborating social media echelon in cancer research," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(2), pages 801-813, March.
    6. Mee-Jean Kim, 2010. "Visibility of Korean science journals: an analysis between citation measures among international composition of editorial board and foreign authorship," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(2), pages 505-522, August.
    7. Hao Wang & Sanhong Deng & Xinning Su, 2016. "A study on construction and analysis of discipline knowledge structure of Chinese LIS based on CSSCI," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 1725-1759, December.
    8. JinHyo Joseph Yun & EuiSeob Jeong & JinSeu Park, 2016. "Network Analysis of Open Innovation," Sustainability, MDPI, vol. 8(8), pages 1-21, July.
    9. Meijun Liu & Xiao Hu & Jiang Li, 2018. "Knowledge flow in China’s humanities and social sciences," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(2), pages 607-626, March.
    10. Han Woo Park & Loet Leydesdorff, 2009. "Knowledge linkage structures in communication studies using citation analysis among communication journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(1), pages 157-175, October.
    11. Gohar Feroz Khan & Junghoon Moon & Han Woo Park, 2011. "Network of the core: mapping and visualizing the core of scientific domains," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(3), pages 759-779, December.
    12. Keeheon Lee & Hyojung Jung & Min Song, 2016. "Subject–method topic network analysis in communication studies," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 1761-1787, December.
    13. Freeman, Richard B., 2015. "Knowledge, Knowledge… Knowledge for My Economy," KDI Journal of Economic Policy, Korea Development Institute (KDI), vol. 37(2), pages 1-21.
    14. Ki-Seok Kwon & Han Woo Park & Minho So & Loet Leydesdorff, 2012. "Has globalization strengthened South Korea’s national research system? National and international dynamics of the Triple Helix of scientific co-authorship relationships in South Korea," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 163-176, January.
    15. Arif Mehmood & Gyu Sang Choi & Otto F. Feigenblatt & Han Woo Park, 2016. "Proving ground for social network analysis in the emerging research area “Internet of Things” (IoT)," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(1), pages 185-201, October.
    16. Muaz Niazi & Amir Hussain, 2011. "Agent-based computing from multi-agent systems to agent-based models: a visual survey," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(2), pages 479-499, November.
    17. Park, Han Woo & Leydesdorff, Loet, 2013. "Decomposing social and semantic networks in emerging “big data” research," Journal of Informetrics, Elsevier, vol. 7(3), pages 756-765.

  164. Loet Leydesdorff, 2008. "Patent classifications as indicators of intellectual organization," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(10), pages 1582-1597, August.

    Cited by:

    1. Katia Angue & Cécile Ayerbe & Liliana Mitkova, 2014. "A method using two dimensions of the patent classification for measuring the technological proximity: an application in identifying a potential R&D partner in biotechnology," The Journal of Technology Transfer, Springer, vol. 39(5), pages 716-747, October.
    2. Su, Hsin-Ning & Moaniba, Igam M., 2017. "Investigating the dynamics of interdisciplinary evolution in technology developments," Technological Forecasting and Social Change, Elsevier, vol. 122(C), pages 12-23.
    3. Worasak Klongthong & Veera Muangsin & Chupun Gowanit & Nongnuj Muangsin, 2021. "A Patent Analysis to Identify Emergent Topics and Convergence Fields: A Case Study of Chitosan," Sustainability, MDPI, vol. 13(16), pages 1-28, August.
    4. Loet Leydesdorff & Daniele Rotolo & Ismael Rafols, 2012. "Bibliometric perspectives on medical innovation using the medical subject Headings of PubMed," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(11), pages 2239-2253, November.
    5. Aparna Basu & Roland Wagner Dobler, 2012. "‘Cognitive mobility’ or migration of authors between fields used in mapping a network of mathematics," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(2), pages 353-368, May.
    6. Takano, Yasutomo & Kajikawa, Yuya, 2019. "Extracting commercialization opportunities of the Internet of Things: Measuring text similarity between papers and patents," Technological Forecasting and Social Change, Elsevier, vol. 138(C), pages 45-68.
    7. Jeff Alstott & Giorgio Triulzi & Bowen Yan & Jianxi Luo, 2017. "Mapping technology space by normalizing patent networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(1), pages 443-479, January.
    8. Loet Leydesdorff, 2012. "The Triple Helix, Quadruple Helix, …, and an N-Tuple of Helices: Explanatory Models for Analyzing the Knowledge-Based Economy?," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 3(1), pages 25-35, March.
    9. Loet Leydesdorff & Duncan Kushnir & Ismael Rafols, 2014. "Interactive overlay maps for US patent (USPTO) data based on International Patent Classification (IPC)," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1583-1599, March.
    10. Youngjung Geum & Moon-Soo Kim & Sungjoo Lee, 2017. "Service Technology: Definition and Characteristics Based on a Patent Database," Service Science, INFORMS, vol. 9(2), pages 147-166, June.
    11. Hiroko Nakamura & Shinji Suzuki & Yuya Kajikawa & Masataka Osawa, 2015. "The effect of patent family information in patent citation network analysis: a comparative case study in the drivetrain domain," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(2), pages 437-452, August.
    12. Péter Érdi & Kinga Makovi & Zoltán Somogyvári & Katherine Strandburg & Jan Tobochnik & Péter Volf & László Zalányi, 2013. "Prediction of emerging technologies based on analysis of the US patent citation network," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(1), pages 225-242, April.
    13. Gurney, Thomas & Horlings, Edwin & van den Besselaar, Peter & Sumikura, Koichi & Schoen, Antoine & Laurens, Patricia & Pardo, Daniel, 2014. "Analysing knowledge capture mechanisms: Methods and a stylised bioventure case," Journal of Informetrics, Elsevier, vol. 8(1), pages 259-272.
    14. Takano, Yasutomo & Mejia, Cristian & Kajikawa, Yuya, 2016. "Unconnected component inclusion technique for patent network analysis: Case study of Internet of Things-related technologies," Journal of Informetrics, Elsevier, vol. 10(4), pages 967-980.
    15. Lybbert, Travis J. & Zolas, Nikolas J., 2014. "Getting patents and economic data to speak to each other: An ‘Algorithmic Links with Probabilities’ approach for joint analyses of patenting and economic activity," Research Policy, Elsevier, vol. 43(3), pages 530-542.
    16. Hofmann, Peter & Keller, Robert & Urbach, Nils, 2019. "Inter-technology relationship networks: Arranging technologies through text mining," Technological Forecasting and Social Change, Elsevier, vol. 143(C), pages 202-213.
    17. Nakamura, Hiroko & Suzuki, Shinji & Sakata, Ichiro & Kajikawa, Yuya, 2015. "Knowledge combination modeling: The measurement of knowledge similarity between different technological domains," Technological Forecasting and Social Change, Elsevier, vol. 94(C), pages 187-201.
    18. Loet Leydesdorff & Martin Meyer, 2010. "The decline of university patenting and the end of the Bayh–Dole effect," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(2), pages 355-362, May.
    19. François Lafond & Daniel Kim, 2019. "Long-run dynamics of the U.S. patent classification system," Journal of Evolutionary Economics, Springer, vol. 29(2), pages 631-664, April.
    20. Lai, Kuei-Kuei & Bhatt, Priyanka C. & Kumar, Vimal & Chen, Hsueh-Chen & Chang, Yu-Hsin & Su, Fang-Pei, 2021. "Identifying the impact of patent family on the patent trajectory: A case of thin film solar cells technological trajectories," Journal of Informetrics, Elsevier, vol. 15(2).
    21. Sasaki, Hajime & Sakata, Ichiro, 2021. "Identifying potential technological spin-offs using hierarchical information in international patent classification," Technovation, Elsevier, vol. 100(C).
    22. Chang Hoon Yang & Han Woo Park & Jungeun Heo, 2010. "A network analysis of interdisciplinary research relationships: the Korean government’s R&D grant program," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(1), pages 77-92, April.
    23. Loet Leydesdorff & Lutz Bornmann, 2012. "Mapping (USPTO) patent data using overlays to Google Maps," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(7), pages 1442-1458, July.
    24. Wang, Zhinan & Porter, Alan L. & Wang, Xuefeng & Carley, Stephen, 2019. "An approach to identify emergent topics of technological convergence: A case study for 3D printing," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 723-732.
    25. Hain, Daniel S. & Jurowetzki, Roman & Buchmann, Tobias & Wolf, Patrick, 2022. "A text-embedding-based approach to measuring patent-to-patent technological similarity," Technological Forecasting and Social Change, Elsevier, vol. 177(C).
    26. Jiancheng Guan & Yuan Shi, 2012. "Transnational citation, technological diversity and small world in global nanotechnology patenting," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(3), pages 609-633, December.
    27. Fusillo, Fabrizio, 2020. "Are Green Inventions really more complex? Evidence from European Patents," Department of Economics and Statistics Cognetti de Martiis. Working Papers 202015, University of Turin.
    28. Si Hyung Joo & Yeonbae Kim, 2010. "Measuring relatedness between technological fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(2), pages 435-454, May.
    29. Hyunseok Park & Janghyeok Yoon, 2014. "Assessing coreness and intermediarity of technology sectors using patent co-classification analysis: the case of Korean national R&D," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(2), pages 853-890, February.
    30. Elona Marku & Manuel Castriotta & Michela Loi & Maria Chiara Di Guardo, 2021. "General Purpose Technology: The Blockchain Domain," International Journal of Business and Management, Canadian Center of Science and Education, vol. 15(11), pages 192-192, July.
    31. Ahmad Barirani & Bruno Agard & Catherine Beaudry, 2013. "Discovering and assessing fields of expertise in nanomedicine: a patent co-citation network perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(3), pages 1111-1136, March.
    32. Yu-Shan Chen & Chun-Yu Shih & Ching-Hsun Chang, 2014. "Explore the new relationship between patents and market value: a panel smooth transition regression (PSTR) approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(2), pages 1145-1159, February.
    33. Francesco Lamperti & Franco Malerba & Roberto Mavilia & Giorgio Tripodi, 2019. "Does the Position in the Inter-sectoral Knowledge Space affect the International Competitiveness of Industries?," LEM Papers Series 2019/23, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    34. Xidong Ma & Zhihao Zhang & Xiaojiao Li & Yan Li, 2022. "The Relationship between the Outdoor School Violence Distribution and the Outdoor Campus Environment: An Empirical Study from China," IJERPH, MDPI, vol. 19(13), pages 1-33, June.
    35. Leng, Zhihui & Sun, Han & Cheng, Jinhua & Wang, Hai & Yao, Zhen, 2021. "China's rare earth industry technological innovation structure and driving factors: A social network analysis based on patents," Resources Policy, Elsevier, vol. 73(C).

  165. Loet Leydesdorff, 2008. "On the normalization and visualization of author co‐citation data: Salton's Cosine versus the Jaccard index," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(1), pages 77-85, January.

    Cited by:

    1. Chaoqun Ni & Cassidy R. Sugimoto & Jiepu Jiang, 2013. "Venue-author-coupling: A measure for identifying disciplines through author communities," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(2), pages 265-279, February.
    2. Frank Neffke & Yang Li, 2023. "Evaluating the Principle of Relatedness: Estimation, Drivers and Implications for Policy," CID Working Papers 146a, Center for International Development at Harvard University.
    3. Hans Pohl, 2020. "Collaboration with countries with rapidly growing research: supporting proactive development of international research collaboration," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 287-307, January.
    4. Campi, Mercedes & Dueñas, Marco & Fagiolo, Giorgio, 2020. "Specialization in food production, global food security and sustainability," Working papers 30, Red Investigadores de Economía.
    5. Gergő Tóth & Sándor Juhász & Zoltán Elekes & Balázs Lengyel, 2021. "Repeated collaboration of inventors across European regions," European Planning Studies, Taylor & Francis Journals, vol. 29(12), pages 2252-2272, December.
    6. García-Lillo, Francisco & Seva-Larrosa, Pedro & Sánchez-García, Eduardo, 2024. "On the basis of research on ‘green’ in the disciplines of management and business," Journal of Business Research, Elsevier, vol. 172(C).
    7. Guerras-Martín, Luis Ángel & Ronda-Pupo, Guillermo Armando & Zúñiga-Vicente, José Ángel & Benito-Osorio, Diana, 2020. "Half a century of research on corporate diversification: A new comprehensive framework," Journal of Business Research, Elsevier, vol. 114(C), pages 124-141.
    8. Stefano Scarazzati & Lili Wang, 2019. "The effect of collaborations on scientific research output: the case of nanoscience in Chinese regions," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(2), pages 839-868, November.
    9. Mercedes Campi & Marco Duenas & Giorgio Fagiolo, 2019. "How do countries specialize in food production? A complex-network analysis of the global agricultural product space," LEM Papers Series 2019/37, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    10. Filippo Bontadini & Mercedes Campi & Marcos Dueñas, 2023. "Being at the Core: Firm product Specialisation," Working Papers 239, Red Nacional de Investigadores en Economía (RedNIE).
    11. Xiaoyu Cai & Tao Han, 2020. "Analysis of the division of labor in China’s high-quality life sciences research," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1077-1094, November.
    12. Wei Yang & Xiang Yu & Dian Wang & Jinrui Yang & Ben Zhang, 2021. "Spatio-temporal evolution of technology flows in China: patent licensing networks 2000–2017," The Journal of Technology Transfer, Springer, vol. 46(5), pages 1674-1703, October.
    13. Filippo Bontadini & Mercedes Campio & Marco Duenas, 2023. "Being at the core: firm product specialisation," LEM Papers Series 2023/09, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    14. Jan Lampe & Priscilla Sarai Kraft & Andreas Bausch, 2020. "Mapping the Field of Research on Entrepreneurial Organizations (1937–2016): A Bibliometric Analysis and Research Agenda," Entrepreneurship Theory and Practice, , vol. 44(4), pages 784-816, July.
    15. Lu Huang & Yijie Cai & Erdong Zhao & Shengting Zhang & Yue Shu & Jiao Fan, 2022. "Measuring the interdisciplinarity of Information and Library Science interactions using citation analysis and semantic analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(11), pages 6733-6761, November.
    16. Sergey Shashnov & Maxim Kotsemir, 2018. "Research landscape of the BRICS countries: current trends in research output, thematic structures of publications, and the relative influence of partners," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(2), pages 1115-1155, November.
    17. Konstantina Sdravopoulou & Juan Manuel Muñoz González & María Dolores Hidalgo-Ariza, 2021. "Educating Adults with a Location-Based Augmented Reality Game: A Content Analysis Approach," Mathematics, MDPI, vol. 9(17), pages 1-16, August.
    18. Guadalupe Palacios-Núñez & Gabriel Vélez-Cuartas & Juan D. Botero, 2018. "Developmental tendencies in the academic field of intellectual property through the identification of invisible colleges," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(3), pages 1561-1574, June.
    19. Addisu A. Lashitew & Somendra Narayan & Eugenia Rosca & Lydia Bals, 2022. "Creating Social Value for the ‘Base of the Pyramid’: An Integrative Review and Research Agenda," Journal of Business Ethics, Springer, vol. 178(2), pages 445-466, June.
    20. Boschma, Ron & Heimeriks, Gaston & Balland, Pierre-Alexandre, 2014. "Scientific knowledge dynamics and relatedness in biotech cities," Research Policy, Elsevier, vol. 43(1), pages 107-114.
    21. Carlos Olmeda-Gómez & Carlos Romá-Mateo & Maria-Antonia Ovalle-Perandones, 2019. "Overview of trends in global epigenetic research (2009–2017)," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(3), pages 1545-1574, June.
    22. Zhang, Yi & Lu, Jie & Liu, Feng & Liu, Qian & Porter, Alan & Chen, Hongshu & Zhang, Guangquan, 2018. "Does deep learning help topic extraction? A kernel k-means clustering method with word embedding," Journal of Informetrics, Elsevier, vol. 12(4), pages 1099-1117.
    23. Lukun Zheng, 2019. "Using mutual information as a cocitation similarity measure," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(3), pages 1695-1713, June.
    24. Maximilian Scheffler & Johannes Brunzel, 2020. "Destructive leadership in organizational research: a bibliometric approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 755-775, October.
    25. Raamesh Deshpande & Benjamin VanderSluis & Chad L Myers, 2013. "Comparison of Profile Similarity Measures for Genetic Interaction Networks," PLOS ONE, Public Library of Science, vol. 8(7), pages 1-11, July.
    26. Rakas, Marija & Hain, Daniel S., 2019. "The state of innovation system research: What happens beneath the surface?," Research Policy, Elsevier, vol. 48(9), pages 1-1.
    27. Campi, Mercedes & Dueñas, Marco, 2022. "Clusters and Resilience during the COVID–19 Crisis: Evidence from Colombian Exporting Firms," IDB Publications (Working Papers) 12527, Inter-American Development Bank.

  166. Loet Leydesdorff, 2008. "The delineation of nanoscience and nanotechnology in terms of journals and patents: A most recent update," Scientometrics, Springer;Akadémiai Kiadó, vol. 76(1), pages 159-167, July.

    Cited by:

    1. R. Karpagam & S. Gopalakrishnan & M. Natarajan & B. Ramesh Babu, 2011. "Mapping of nanoscience and nanotechnology research in India: a scientometric analysis, 1990–2009," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(2), pages 501-522, November.
    2. Pedro Cosme Vieira & Aurora A.C. Teixeira, 2006. "Are Finance, Management, and Marketing Autonomous Fields of Scientific Research? An Analysis Based on Journal Citations," FEP Working Papers 233, Universidade do Porto, Faculdade de Economia do Porto.
    3. Shahid Yusuf, 2012. "From Technological Catch-up to Innovation : The Future of China’s GDP Growth," World Bank Publications - Reports 12781, The World Bank Group.
    4. Mario Coccia, 2011. "Evolutionary dynamics and scientific flows of nanotechnology research across geo-economic areas," CERIS Working Paper 201101, CNR-IRCrES Research Institute on Sustainable Economic Growth - Torino (TO) ITALY - former Institute for Economic Research on Firms and Growth - Moncalieri (TO) ITALY.
    5. Alessandra Colombelli & Jackie Krafft & Francesco Quatraro, 2012. "The emergence of new technology-based sectors at the regional level: a proximity-based analysis of nanotechnology," Papers in Evolutionary Economic Geography (PEEG) 1211, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Jun 2012.
    6. Raul Gouvea & Jonathan Linton & Manuel Montoya & Steven Walsh, 2012. "Emerging Technologies and Ethics: A Race-to-the-Bottom or the Top?," Journal of Business Ethics, Springer, vol. 109(4), pages 553-567, September.
    7. Yoscelina Iraida Hernandez-García & Mónica Anzaldo Montoya, 2021. "Flow of ideas in the study of communication channels and references in publications on nanotechnology applied to food and agriculture in Mexico," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 995-1017, February.
    8. Mario Coccia & Ugo Finardi & Diego Margon, 2010. "Research trends in nanotechnology studies across geo-economic areas," CERIS Working Paper 201005, CNR-IRCrES Research Institute on Sustainable Economic Growth - Torino (TO) ITALY - former Institute for Economic Research on Firms and Growth - Moncalieri (TO) ITALY.
    9. Sabatier, Mareva & Chollet, Barthélemy, 2017. "Is there a first mover advantage in science? Pioneering behavior and scientific production in nanotechnology," Research Policy, Elsevier, vol. 46(2), pages 522-533.
    10. Aurora A.C. Teixeira, 2011. "Mapping the (In)visible College(s) in the Field of Entrepreneurship," FEP Working Papers 416, Universidade do Porto, Faculdade de Economia do Porto.
    11. Ehsan Mohammadi, 2012. "Knowledge mapping of the Iranian nanoscience and technology: a text mining approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(3), pages 593-608, September.
    12. T. Gorjiara & C. Baldock, 2014. "Nanoscience and nanotechnology research publications: a comparison between Australia and the rest of the world," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(1), pages 121-148, July.
    13. Elena M. Tur & Evangelos Bourelos & Maureen McKelvey, 2022. "The case of sleeping beauties in nanotechnology: a study of potential breakthrough inventions in emerging technologies," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 69(3), pages 683-708, December.
    14. Karmen Stopar & Damjana Drobne & Klemen Eler & Tomaz Bartol, 2016. "Citation analysis and mapping of nanoscience and nanotechnology: identifying the scope and interdisciplinarity of research," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(2), pages 563-581, February.
    15. María-Antonia Ovalle-Perandones & Juan Gorraiz & Martin Wieland & Christian Gumpenberger & Carlos Olmeda-Gómez, 2013. "The influence of European Framework Programmes on scientific collaboration in nanotechnology," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(1), pages 59-74, October.
    16. Alessandra Colombelli & Jackie Krafft & Francesco Quatraro, 2014. "The emergence of new technology-based sectors in European regions: A proximity-based analysis of nanotechnology," Post-Print halshs-01060897, HAL.

  167. Loet Leydesdorff & Thomas Schank, 2008. "Dynamic animations of journal maps: Indicators of structural changes and interdisciplinary developments," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(11), pages 1810-1818, September.

    Cited by:

    1. Su, Hsin-Ning & Moaniba, Igam M., 2017. "Investigating the dynamics of interdisciplinary evolution in technology developments," Technological Forecasting and Social Change, Elsevier, vol. 122(C), pages 12-23.
    2. Burmaoglu, Serhat & Sartenaer, Olivier & Porter, Alan, 2019. "Conceptual definition of technology emergence: A long journey from philosophy of science to science policy," Technology in Society, Elsevier, vol. 59(C).
    3. de Nooy, Wouter & Leydesdorff, Loet, 2015. "The dynamics of triads in aggregated journal–journal citation relations: Specialty developments at the above-journal level," Journal of Informetrics, Elsevier, vol. 9(3), pages 542-554.
    4. Aparna Basu & Roland Wagner Dobler, 2012. "‘Cognitive mobility’ or migration of authors between fields used in mapping a network of mathematics," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(2), pages 353-368, May.
    5. Gaston Heimeriks & Pierre-Alexandre Balland, 2016. "How smart is specialisation? An analysis of specialisation patterns in knowledge production," Science and Public Policy, Oxford University Press, vol. 43(4), pages 562-574.
    6. Zhigao Liu & Yimei Yin & Weidong Liu & Michael Dunford, 2015. "Visualizing the intellectual structure and evolution of innovation systems research: a bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(1), pages 135-158, April.
    7. Leydesdorff, Loet & Welbers, Kasper, 2011. "The semantic mapping of words and co-words in contexts," Journal of Informetrics, Elsevier, vol. 5(3), pages 469-475.
    8. Leydesdorff, Loet & Bornmann, Lutz & Zhou, Ping, 2016. "Construction of a pragmatic base line for journal classifications and maps based on aggregated journal-journal citation relations," Journal of Informetrics, Elsevier, vol. 10(4), pages 902-918.
    9. Cobo, M.J. & López-Herrera, A.G. & Herrera-Viedma, E. & Herrera, F., 2011. "An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the Fuzzy Sets Theory field," Journal of Informetrics, Elsevier, vol. 5(1), pages 146-166.
    10. Khare, Apoorv & Jain, Rajesh, 2022. "Mapping the conceptual and intellectual structure of the consumer vulnerability field: A bibliometric analysis," Journal of Business Research, Elsevier, vol. 150(C), pages 567-584.
    11. Rousseau, Ronald & Hu, Xiaojun, 2013. "Two time series, their meaning and some applications," Journal of Informetrics, Elsevier, vol. 7(3), pages 603-610.
    12. Adam Whittle, 2017. "Local and Non-Local Knowledge Typologies: Technological Complexity in the Irish Knowledge Space," Papers in Evolutionary Economic Geography (PEEG) 1728, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Nov 2017.
    13. Abdulkader A. Murad & Dimitar T. Tomov, 2012. "Institutionalization and internationalization of research on the applications of the geographical information systems in health planning," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(1), pages 143-158, April.
    14. Ann Susan Thomas & Ambili Jayachandran & Ajithakumari Vijayappan Nair Biju, 2024. "Strategic mapping of the environmental social governance landscape in finance – A bibliometric exploration through concepts and themes," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 31(5), pages 4428-4453, September.
    15. Loet Leydesdorff, 2011. "“Structuration” by intellectual organization: the configuration of knowledge in relations among structural components in networks of science," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(2), pages 499-520, August.
    16. Jorge Mañana Rodríguez, 2017. "Disciplinarity and interdisciplinarity in citation and reference dimensions: knowledge importation and exportation taxonomy of journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 617-642, February.
    17. Ryan Light & jimi adams, 2016. "Knowledge in motion: the evolution of HIV/AIDS research," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(3), pages 1227-1248, June.
    18. Blandinieres, Florence, 2019. "Anatomy of the medical innovation process: What are the consequences of replicability issues on innovation?," ZEW Discussion Papers 19-011, ZEW - Leibniz Centre for European Economic Research.
    19. Loet Leydesdorff & Caroline S. Wagner & Lutz Bornmann, 2018. "Betweenness and diversity in journal citation networks as measures of interdisciplinarity—A tribute to Eugene Garfield," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(2), pages 567-592, February.
    20. Iván González-Márquez & Víctor M. Toledo, 2020. "Sustainability Science: A Paradigm in Crisis?," Sustainability, MDPI, vol. 12(7), pages 1-18, April.
    21. Wagner, Caroline S. & Roessner, J. David & Bobb, Kamau & Klein, Julie Thompson & Boyack, Kevin W. & Keyton, Joann & Rafols, Ismael & Börner, Katy, 2011. "Approaches to understanding and measuring interdisciplinary scientific research (IDR): A review of the literature," Journal of Informetrics, Elsevier, vol. 5(1), pages 14-26.
    22. Leydesdorff, Loet & Rafols, Ismael, 2012. "Interactive overlays: A new method for generating global journal maps from Web-of-Science data," Journal of Informetrics, Elsevier, vol. 6(2), pages 318-332.
    23. Feng Hu & Wei Liu & Sang-Bing Tsai & Junbin Gao & Ning Bin & Quan Chen, 2018. "An Empirical Study on Visualizing the Intellectual Structure and Hotspots of Big Data Research from a Sustainable Perspective," Sustainability, MDPI, vol. 10(3), pages 1-19, March.
    24. Cassidy R. Sugimoto, 2011. "Looking across communicative genres: a call for inclusive indicators of interdisciplinarity," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(2), pages 449-461, February.
    25. Quirin, Arnaud & Cordón, Oscar & Vargas-Quesada, Benjamín & de Moya-Anegón, Félix, 2010. "Graph-based data mining: A new tool for the analysis and comparison of scientific domains represented as scientograms," Journal of Informetrics, Elsevier, vol. 4(3), pages 291-312.
    26. Hanning Guo & Scott Weingart & Katy Börner, 2011. "Mixed-indicators model for identifying emerging research areas," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(1), pages 421-435, October.
    27. Loet Leydesdorff, 2013. "Statistics for the dynamic analysis of scientometric data: the evolution of the sciences in terms of trajectories and regimes," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(3), pages 731-741, September.
    28. Wolfram, Dietmar & Zhao, Yuehua, 2014. "A comparison of journal similarity across six disciplines using citing discipline analysis," Journal of Informetrics, Elsevier, vol. 8(4), pages 840-853.

  168. Diana Lucio‐Arias & Loet Leydesdorff, 2008. "Main‐path analysis and path‐dependent transitions in HistCite™‐based historiograms," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(12), pages 1948-1962, October.

    Cited by:

    1. Zhang, Yi & Huang, Ying & Porter, Alan L. & Zhang, Guangquan & Lu, Jie, 2019. "Discovering and forecasting interactions in big data research: A learning-enhanced bibliometric study," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 795-807.
    2. Kim, Erin H.J. & Jeong, Yoo Kyung & Kim, YongHwan & Song, Min, 2022. "Exploring scientific trajectories of a large-scale dataset using topic-integrated path extraction," Journal of Informetrics, Elsevier, vol. 16(1).
    3. Shen, Neng & Deng, Rumeng & Liao, Haolan & Shevchuk, Oleksandr, 2020. "Mapping renewable energy subsidy policy research published from 1997 to 2018: A scientometric review," Utilities Policy, Elsevier, vol. 64(C).
    4. Song-Chia Hsu & Kai-Ying Chen & Chih-Ping Lin & Wei-Hao Su, 2022. "Knowledge Development Trajectories of Crime Prevention Domain: An Academic Study Based on Citation and Main Path Analysis," IJERPH, MDPI, vol. 19(17), pages 1-20, August.
    5. Kosztyán, Zsolt T. & Csizmadia, Tibor & Katona, Attila I., 2021. "SIMILAR – Systematic iterative multilayer literature review method," Journal of Informetrics, Elsevier, vol. 15(1).
    6. John S. Liu & Louis Y. Y. Lu & Mei Hsiu-Ching Ho, 2019. "A few notes on main path analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(1), pages 379-391, April.
    7. Marianna Epicoco & Vanessa Oltra & Maïder Saint Jean, 2014. "Knowledge dynamics and sources of eco-innovation: Mapping the Green Chemistry community," Post-Print hal-01135463, HAL.
    8. Zhichao Ba & Yujie Cao & Jin Mao & Gang Li, 2019. "A hierarchical approach to analyzing knowledge integration between two fields—a case study on medical informatics and computer science," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(3), pages 1455-1486, June.
    9. Hansin Bilgili & Jonathan L. Johnson & Tsvetomira V. Bilgili & Alan E. Ellstrand, 2022. "Research on social relationships and processes governing the behaviors of members of the corporate elite: a review and bibliometric analysis," Review of Managerial Science, Springer, vol. 16(8), pages 2285-2339, November.
    10. Niccol? Comerio & Patrizia Tettamanzi, 2019. "Systematic literature network analysis in accounting: A first application on integrated reporting research," FINANCIAL REPORTING, FrancoAngeli Editore, vol. 2019(2), pages 73-95.
    11. Tam Eunice Wai-si & Yip Joanne & Lo Kwan Yu & Yick Kit Lun & Fang Christian & Ng Sun Pui, 2020. "De Quervain's Tenosynovitis- A Systematic and Citation Network Analysis Review," Biomedical Journal of Scientific & Technical Research, Biomedical Research Network+, LLC, vol. 24(5), pages 18674-18684, January.
    12. Martin Ho & Henry CW Price & Tim S Evans & Eoin O'Sullivan, 2023. "Order in Innovation," Papers 2302.13076, arXiv.org.
    13. Geoffrey M. Hodgson & Juha-Antti Lamberg, 2018. "The past and future of evolutionary economics: some reflections based on new bibliometric evidence," Evolutionary and Institutional Economics Review, Springer, vol. 15(1), pages 167-187, June.
    14. Ben Zhang & Lei Ma & Zheng Liu, 2020. "Literature Trend Identification of Sustainable Technology Innovation: A Bibliometric Study Based on Co-Citation and Main Path Analysis," Sustainability, MDPI, vol. 12(20), pages 1-20, October.
    15. Hwang, Seonho & Shin, Juneseuk, 2019. "Extending technological trajectories to latest technological changes by overcoming time lags," Technological Forecasting and Social Change, Elsevier, vol. 143(C), pages 142-153.
    16. Fang Han & Sejun Yoon & Nagarajan Raghavan & Hyunseok Park, 2022. "Investigating Company’s Technical Development Directions Based on Internal Knowledge Inheritance and Inventor Capabilities: The Case of Samsung Electronics," Sustainability, MDPI, vol. 14(5), pages 1-19, March.

  169. Loet Leydesdorff, 2008. "Caveats for the use of citation indicators in research and journal evaluations," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(2), pages 278-287, January.

    Cited by:

    1. Brenda Cheang & Samuel Kai Wah Chu & Chongshou Li & Andrew Lim, 2014. "OR/MS journals evaluation based on a refined PageRank method: an updated and more comprehensive review," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(2), pages 339-361, August.
    2. Zhou Xu & Brenda Cheang & Andrew Lim & Qi Wen, 2011. "Evaluating OR/MS Journals via PageRank," Interfaces, INFORMS, vol. 41(4), pages 375-388, August.
    3. Anastassios Pouris, 2010. "A scientometric assessment of the Southern Africa Development Community: science in the tip of Africa," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(1), pages 145-154, October.
    4. Rafols, Ismael & Leydesdorff, Loet & O’Hare, Alice & Nightingale, Paul & Stirling, Andy, 2012. "How journal rankings can suppress interdisciplinary research: A comparison between Innovation Studies and Business & Management," Research Policy, Elsevier, vol. 41(7), pages 1262-1282.
    5. Boyack, Kevin W. & Klavans, Richard, 2014. "Including cited non-source items in a large-scale map of science: What difference does it make?," Journal of Informetrics, Elsevier, vol. 8(3), pages 569-580.
    6. Weishu Liu & Meiting Huang & Haifeng Wang, 2021. "Same journal but different numbers of published records indexed in Scopus and Web of Science Core Collection: causes, consequences, and solutions," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(5), pages 4541-4550, May.
    7. Leydesdorff, Loet & Wagner, Caroline, 2009. "Macro-level indicators of the relations between research funding and research output," Journal of Informetrics, Elsevier, vol. 3(4), pages 353-362.
    8. Jesus Iñigo & Jose-Alberto Palma & Jorge Iriarte & Elena Urrestarazu, 2013. "Evolution of the publications in clinical neurology: scientific impact of different countries during the 2000–2009 period," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(3), pages 941-952, June.
    9. Zhou, Ping & Leydesdorff, Loet, 2011. "Fractional counting of citations in research evaluation: A cross- and interdisciplinary assessment of the Tsinghua University in Beijing," Journal of Informetrics, Elsevier, vol. 5(3), pages 360-368.
    10. Anastassios Pouris & Yuh-Shan Ho, 2014. "Research emphasis and collaboration in Africa," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 2169-2184, March.
    11. Moustafa, Khaled, 2018. "Aberration of the citation," arabixiv.org gn8zb, Center for Open Science.
    12. Yuen-Hsien Tseng & Ming-Yueh Tsay, 2013. "Journal clustering of library and information science for subfield delineation using the bibliometric analysis toolkit: CATAR," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(2), pages 503-528, May.
    13. Рубинштейн Александр Яковлевич, "undated". "Ранжирование Российских Экономических Журналов: Научный Метод Или «Игра В Цыфирь»? [Ran Ranking of Russian Economic Journals: The Scientific Method or “Numbers Game”?]," Working papers a:pru175:ye:2016:1, Institute of Economics.
    14. Allen Bellas & Lea-Rachel Kosnik, 2019. "Which leading journal leads? Idea diffusion in economics research journals," Empirical Economics, Springer, vol. 57(3), pages 901-921, September.
    15. Mingers, John & Leydesdorff, Loet, 2015. "A review of theory and practice in scientometrics," European Journal of Operational Research, Elsevier, vol. 246(1), pages 1-19.
    16. Alberto Baccini & Giuseppe De Nicolao & Eugenio Petrovich, 2019. "Citation gaming induced by bibliometric evaluation: A country-level comparative analysis," PLOS ONE, Public Library of Science, vol. 14(9), pages 1-16, September.
    17. Giovanni Abramo & Ciriaco Andrea D’Angelo, 2011. "National-scale research performance assessment at the individual level," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(2), pages 347-364, February.
    18. Giovanni Abramo & Ciriaco Andrea D’Angelo & Flavia Costa, 2023. "Correlating article citedness and journal impact: an empirical investigation by field on a large-scale dataset," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(3), pages 1877-1894, March.
    19. S. Alonso & F. J. Cabrerizo & E. Herrera-Viedma & F. Herrera, 2010. "hg-index: a new index to characterize the scientific output of researchers based on the h- and g-indices," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(2), pages 391-400, February.
    20. Zait, Adriana, 2020. "Academic Publishing – An Annotated Inventory of Challenges and chosen Pathways," MPRA Paper 116499, University Library of Munich, Germany, revised 25 Oct 2020.
    21. Stelios Katranidis & Theodore Panagiotidis & Costas Zontanos, 2016. "Economists, research performance and national inbreeding:North versus South," Discussion Paper Series 2016_01, Department of Economics, University of Macedonia, revised Oct 2016.
    22. Dimitris Kremmydas & Kyriakos Drivas, 2015. "Assembling the research profile of Greek Economic Departments," Working Papers 2015-4, Agricultural University of Athens, Department Of Agricultural Economics.
    23. Walters, William H., 2014. "Do Article Influence scores overestimate the citation impact of social science journals in subfields that are related to higher-impact natural science disciplines?," Journal of Informetrics, Elsevier, vol. 8(2), pages 421-430.
    24. Loet Leydesdorff & Ping Zhou & Lutz Bornmann, 2013. "How can journal impact factors be normalized across fields of science? An assessment in terms of percentile ranks and fractional counts," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(1), pages 96-107, January.
    25. Tüselmann, Heinz & Sinkovics, Rudolf R. & Pishchulov, Grigory, 2015. "Towards a consolidation of worldwide journal rankings – A classification using random forests and aggregate rating via data envelopment analysis," Omega, Elsevier, vol. 51(C), pages 11-23.
    26. Rosenthal, Edward C. & Weiss, Howard J., 2017. "A data envelopment analysis approach for ranking journals," Omega, Elsevier, vol. 70(C), pages 135-147.
    27. Li, Feng & Miao, Yajun & Yang, Chenchen, 2015. "How do alumni faculty behave in research collaboration? An analysis of Chang Jiang Scholars in China," Research Policy, Elsevier, vol. 44(2), pages 438-450.
    28. Mingyang Wang & Shijia Jiao & Kah-Hin Chai & Guangsheng Chen, 2019. "Building journal’s long-term impact: using indicators detected from the sustained active articles," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(1), pages 261-283, October.
    29. Jun-Ying Fu & Xu Zhang & Yun-Hua Zhao & He-Feng Tong & Dar-Zen Chen & Mu-Hsuan Huang, 2012. "Scientific production and citation impact: a bibliometric analysis in acupuncture over three decades," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(3), pages 1061-1079, December.
    30. William M. Cockriel & James B. McDonald, 2018. "The influence of dispersion on journal impact measures," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 609-622, July.
    31. Loet Leydesdorff, 2012. "Alternatives to the journal impact factor: I3 and the top-10% (or top-25%?) of the most-highly cited papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(2), pages 355-365, August.
    32. Rodrigo Costas & Thed N. Leeuwen & María Bordons, 2010. "Self-citations at the meso and individual levels: effects of different calculation methods," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(3), pages 517-537, March.
    33. Aleskerov, F. & Badgaeva, D. & Pislyakov, V. & Sterligov, I. & Shvydun, S., 2016. "An Importance of Russian and International Economic Journals: a Network Approach," Journal of the New Economic Association, New Economic Association, vol. 30(2), pages 193-205.
    34. Jian Wang, 2013. "Citation time window choice for research impact evaluation," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(3), pages 851-872, March.
    35. José María Gómez-Sancho & María Jesús Mancebón-Torrubia, 2010. "A new approach to measuring scientific production in JCR journals and its application to Spanish public universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(1), pages 271-293, October.
    36. Loet Leydesdorff, 2013. "An evaluation of impacts in “Nanoscience & nanotechnology”: steps towards standards for citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(1), pages 35-55, January.
    37. Magnus Eriksson & Annika Billhult & Tommy Billhult & Elena Pallari & Grant Lewison, 2020. "A new database of the references on international clinical practice guidelines: a facility for the evaluation of clinical research," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(2), pages 1221-1235, February.
    38. Kovac, Dejan & Scrbec, Nikol & Podobnik, Boris, 2018. "Does it payoff to research economics—A tale of citation, knowledge and economic growth in transition countries," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 505(C), pages 293-305.
    39. Opthof, Tobias & Leydesdorff, Loet, 2010. "Caveats for the journal and field normalizations in the CWTS (“Leiden”) evaluations of research performance," Journal of Informetrics, Elsevier, vol. 4(3), pages 423-430.
    40. Guoliang Lyu & Ganwei Shi, 2019. "On an approach to boosting a journal’s citation potential," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(3), pages 1387-1409, September.
    41. Abramo, Giovanni & Cicero, Tindaro & D’Angelo, Ciriaco Andrea, 2013. "The impact of unproductive and top researchers on overall university research performance," Journal of Informetrics, Elsevier, vol. 7(1), pages 166-175.
    42. Anastassios Pouris, 2012. "Scientometric research in South Africa and successful policy instruments," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(2), pages 317-325, May.
    43. Tove Faber Frandsen & Jeppe Nicolaisen, 2017. "Rejoinder: Noble prize effects in citation networks," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(12), pages 2844-2845, December.
    44. José María Gómez-Sancho & María Jesús Mancebón-Torrubia, 2009. "The evaluation of scientific production: Towards a neutral impact factor," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(2), pages 435-458, November.
    45. Campanario, Juan Miguel, 2014. "Analysis of the distribution of cited journals according to their positions in the h-core of citing journal listed in Journal Citation Reports," Journal of Informetrics, Elsevier, vol. 8(3), pages 534-545.
    46. Ratinho, Tiago & Harms, Rainer & Walsh, Steven, 2015. "Structuring the Technology Entrepreneurship publication landscape: Making sense out of chaos," Technological Forecasting and Social Change, Elsevier, vol. 100(C), pages 168-175.
    47. Brenda Cheang & Chongshou Li & Andrew Lim & Zhenzhen Zhang, 2015. "Identifying patterns and structural influences in the scientific communication of business knowledge," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(1), pages 159-189, April.
    48. Loet Leydesdorff & Tobias Opthof, 2012. "A rejoinder on energy versus impact indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(2), pages 745-748, February.
    49. Tobias Opthof & Loet Leydesdorff, 2011. "A comment to the paper by Waltman et al., Scientometrics, 87, 467–481, 2011," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(3), pages 1011-1016, September.
    50. Shaibu Mohammed & Anthony Morgan & Emmanuel Nyantakyi, 2020. "On the influence of uncited publications on a researcher’s h-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(3), pages 1791-1799, March.
    51. Finardi, Ugo, 2013. "Correlation between Journal Impact Factor and Citation Performance: An experimental study," Journal of Informetrics, Elsevier, vol. 7(2), pages 357-370.
    52. Alonso, S. & Cabrerizo, F.J. & Herrera-Viedma, E. & Herrera, F., 2009. "h-Index: A review focused in its variants, computation and standardization for different scientific fields," Journal of Informetrics, Elsevier, vol. 3(4), pages 273-289.

  170. Lengyel, Balázs & Leydesdorff, Loet, 2008. "A magyar gazdaság tudásalapú szerveződésének mérése. Az innovációs rendszerek szinergiáinak térbelisége [Measuring the knowledge base of the Hungarian economy: spatial characteristics of innovation," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(6), pages 522-547.

    Cited by:

    1. Borsi, Balázs & Mikita, József, 2013. "Centrumok és perifériák - régiók az európai kutatás-fejlesztésben [Centres and peripheries: regions in European research and development]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(4), pages 431-455.
    2. Imola Rittgasszer, 2011. "Analysing the Creativity of the Hungarian Micro-regions," ERSA conference papers ersa10p504, European Regional Science Association.
    3. Borsi, Balázs & Bajmócy, Zoltán, 2009. "Kvantitatív leszakadás, kvalitatív felzárkózás?. A hazai regionális innovációpolitika kihívásai [Quantitative lag, qualitative catch-up?. The challenges for this countrys regional innovation policy," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(10), pages 933-954.

  171. Diana Lucio-Arias & Loet Leydesdorff, 2007. "Knowledge emergence in scientific communication: from “fullerenes” to “nanotubes”," Scientometrics, Springer;Akadémiai Kiadó, vol. 70(3), pages 603-632, March.

    Cited by:

    1. Ruimin Ma & Erjia Yan, 2016. "Uncovering inter-specialty knowledge communication using author citation networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 839-854, November.
    2. Ehsan Mohammadi, 2012. "Knowledge mapping of the Iranian nanoscience and technology: a text mining approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(3), pages 593-608, September.
    3. Ion Georgiou & Joaquim Heck, 2021. "The emergence of problem structuring methods, 1950s–1989: An atlas of the journal literature," Systems Research and Behavioral Science, Wiley Blackwell, vol. 38(6), pages 756-796, November.
    4. Ismael Rafols & Alan Porter & Loet Leydesdorff, 2009. "Overlay Maps of Science: a New Tool for Research Policy," SPRU Working Paper Series 179, SPRU - Science Policy Research Unit, University of Sussex Business School.
    5. Hanning Guo & Scott Weingart & Katy Börner, 2011. "Mixed-indicators model for identifying emerging research areas," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(1), pages 421-435, October.
    6. Tancoigne, Elise & Barbier, Marc & Cointet, Jean-Philippe & Richard, Guy, 2014. "The place of agricultural sciences in the literature on ecosystem services," Ecosystem Services, Elsevier, vol. 10(C), pages 35-48.

  172. Loet Leydesdorff, 2007. "Environment and Planning B: Planning and Design as a Journal: The Interdisciplinarity of its Environment and the Citation Impact," Environment and Planning B, , vol. 34(5), pages 826-838, October.

    Cited by:

    1. Loet Leydesdorff, 2007. "Mapping interdisciplinarity at the interfaces between the Science Citation Index and the Social Science Citation Index," Scientometrics, Springer;Akadémiai Kiadó, vol. 71(3), pages 391-405, June.
    2. Du, Yuxin & Teixeira, Aurora A.C., 2012. "A bibliometric account of Chinese economics research through the lens of the China Economic Review," China Economic Review, Elsevier, vol. 23(4), pages 743-762.

  173. Loet Leydesdorff & Martin Meyer, 2007. "The scientometrics of a Triple Helix of university-industry-government relations (Introduction to the topical issue)," Scientometrics, Springer;Akadémiai Kiadó, vol. 70(2), pages 207-222, February.

    Cited by:

    1. Elena Castro-Martínez & Fernando Jiménez-Sáez & Francisco Javier Ortega-Colomer, 2009. "Science and technology policies: A tale of political use, misuse and abuse of traditional R&D indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 80(3), pages 827-844, September.
    2. Xiaozan Lyu & Ping Zhou & Loet Leydesdorff, 2020. "Eco-system mapping of techno-science linkages at the level of scholarly journals and fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2037-2055, September.
    3. Marina van Geenhuizen, 2018. "A framework for the evaluation of living labs as boundary spanners in innovation," Environment and Planning C, , vol. 36(7), pages 1280-1298, November.
    4. Chan-Yuan Wong & Hon-Ngen Fung, 2017. "Science-technology-industry correlative indicators for policy targeting on emerging technologies: exploring the core competencies and promising industries of aspirant economies," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 841-867, May.
    5. Elio Atenógenes Villaseñor & Ricardo Arencibia-Jorge & Humberto Carrillo-Calvet, 2017. "Multiparametric characterization of scientometric performance profiles assisted by neural networks: a study of Mexican higher education institutions," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(1), pages 77-104, January.
    6. Fischer, Bruno Brandão & Schaeffer, Paola Rücker & Vonortas, Nicholas S., 2019. "Evolution of university-industry collaboration in Brazil from a technology upgrading perspective," Technological Forecasting and Social Change, Elsevier, vol. 145(C), pages 330-340.
    7. Swapan Kumar Patra & Mammo Muchie, 2018. "Research and innovation in South African universities: from the triple helix’s perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 51-76, July.
    8. Irina Dezhina & V. Kiseleva, 2008. "State, Science and Business in Russia's Innovation System," Research Paper Series, Gaidar Institute for Economic Policy, issue 115P.
    9. Therese Kennelly Okraku & Raffaele Vacca & James W. Jawitz & Christopher McCarty, 2017. "Identity and publication in non-university settings: academic co-authorship and collaboration," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(1), pages 401-416, April.
    10. Mladen Djuric & Marina Dobrota & Jovan Filipovic, 2020. "Complexity-based quality indicators for human and social capital in science and research: the case of Serbian Homeland versus Diaspora," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 303-328, July.
    11. Aurora A. C. Teixeira & Luisa Mota, 2012. "A bibliometric portrait of the evolution, scientific roots and influence of the literature on university–industry links," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(3), pages 719-743, December.
    12. Peter Nijkamp & Karima Kourtit & Henk Scholten & Esmeralda Willemsen, 2023. "Citizen Participation and Knowledge Support in Urban Public Energy Transition—A Quadruple Helix Perspective," Land, MDPI, vol. 12(2), pages 1-17, February.
    13. JinHyo Joseph Yun & Zheng Liu, 2019. "Micro- and Macro-Dynamics of Open Innovation with a Quadruple-Helix Model," Sustainability, MDPI, vol. 11(12), pages 1-17, June.
    14. Ba, Zhichao & Liang, Zhentao, 2021. "A novel approach to measuring science-technology linkage: From the perspective of knowledge network coupling," Journal of Informetrics, Elsevier, vol. 15(3).
    15. Lola García-Santiago & Felix Moya-Anegón, 2009. "Using co-outlinks to mine heterogeneous networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 79(3), pages 681-702, June.
    16. Yong-Gil Lee, 2012. "Strengthening competency linkage to innovation at Korean universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 219-230, January.
    17. Nicolas Battard, 2012. "Convergence and multidisciplinarity in nanotechnology: Laboratories as technological hubs," Post-Print hal-01514795, HAL.

  174. Ping Zhou & Loet Leydesdorff, 2007. "A comparison between the China Scientific and Technical Papers and Citations Database and the Science Citation Index in terms of journal hierarchies and interjournal citation relations," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 58(2), pages 223-236, January.

    Cited by:

    1. Bingqin Xu & David A. J. Teulon, 2022. "Combined Searches of Chinese Language and English Language Databases Provide More Comprehensive Data on the Distribution of Five Pest Thrips Species in China for Use in Pest Risk Assessment," Sustainability, MDPI, vol. 14(5), pages 1-19, March.
    2. Fei Shu & Wen Lou & Stefanie Haustein, 2018. "Can Twitter increase the visibility of Chinese publications?," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 505-519, July.
    3. Gregory J Hather & Winston Haynes & Roger Higdon & Natali Kolker & Elizabeth A Stewart & Peter Arzberger & Patrick Chain & Dawn Field & B Robert Franza & Biaoyang Lin & Folker Meyer & Vural Ozdemir & , 2010. "The United States of America and Scientific Research," PLOS ONE, Public Library of Science, vol. 5(8), pages 1-9, August.
    4. Ping Zhou & Loet Leydesdorff, 2007. "The citation impacts and citation environments of Chinese journals in mathematics," Scientometrics, Springer;Akadémiai Kiadó, vol. 72(2), pages 185-200, August.
    5. Han Woo Park & Loet Leydesdorff, 2008. "Korean journals in the Science Citation Index: What do they reveal about the intellectual structure of S&T in Korea?," Scientometrics, Springer;Akadémiai Kiadó, vol. 75(3), pages 439-462, June.
    6. Tianwei He & Wei Liu, 2009. "The internationalization of Chinese scientific journals: A quantitative comparison of three chemical journals from China, England and Japan," Scientometrics, Springer;Akadémiai Kiadó, vol. 80(3), pages 583-593, September.
    7. S. Hennemann & T. Wang & I. Liefner, 2011. "Measuring regional science networks in China: a comparison of international and domestic bibliographic data sources," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(2), pages 535-554, August.
    8. Saeed-Ul Hassan & Peter Haddawy, 2015. "Analyzing knowledge flows of scientific literature through semantic links: a case study in the field of energy," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(1), pages 33-46, April.
    9. Saeed-Ul Hassan & Peter Haddawy, 2013. "Measuring international knowledge flows and scholarly impact of scientific research," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(1), pages 163-179, January.
    10. Guijie Zhang & Luning Liu & Fangfang Wei, 2019. "Key nodes mining in the inventor–author knowledge diffusion network," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 721-735, March.
    11. Loet Leydesdorff & Caroline Wagner, 2009. "Is the United States losing ground in science? A global perspective on the world science system," Scientometrics, Springer;Akadémiai Kiadó, vol. 78(1), pages 23-36, January.

  175. Loet Leydesdorff, 2007. "Mapping interdisciplinarity at the interfaces between the Science Citation Index and the Social Science Citation Index," Scientometrics, Springer;Akadémiai Kiadó, vol. 71(3), pages 391-405, June.

    Cited by:

    1. Su, Hsin-Ning & Moaniba, Igam M., 2017. "Investigating the dynamics of interdisciplinary evolution in technology developments," Technological Forecasting and Social Change, Elsevier, vol. 122(C), pages 12-23.
    2. Núria Bautista-Puig & Jorge Mañana-Rodríguez & Antonio Eleazar Serrano-López, 2021. "Role taxonomy of green and sustainable science and technology journals: exportation, importation, specialization and interdisciplinarity," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(5), pages 3871-3892, May.
    3. Seongkyoon Jeong & Jong-Chan Kim & Jae Young Choi, 2015. "Technology convergence: What developmental stage are we in?," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(3), pages 841-871, September.
    4. Shunshun Shi & Wenyu Zhang & Shuai Zhang & Jie Chen, 2018. "Does prestige dimension influence the interdisciplinary performance of scientific entities in knowledge flow? Evidence from the e-government field," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(2), pages 1237-1264, November.
    5. Ronald Rousseau & Lin Zhang, 2008. "Betweenness centrality and Q-measures in directed valued networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 75(3), pages 575-590, June.
    6. Rafols, Ismael & Leydesdorff, Loet & O’Hare, Alice & Nightingale, Paul & Stirling, Andy, 2012. "How journal rankings can suppress interdisciplinary research: A comparison between Innovation Studies and Business & Management," Research Policy, Elsevier, vol. 41(7), pages 1262-1282.
    7. Mu-hsuan Huang & Wang-Ching Shaw & Chi-Shiou Lin, 2019. "One category, two communities: subfield differences in “Information Science and Library Science” in Journal Citation Reports," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 1059-1079, May.
    8. Esther Vaquero-Álvarez & Antonio Cubero-Atienza & Pilar Ruiz-Martínez & Manuel Vaquero-Abellán & María Dolores Redel Mecías & Pilar Aparicio-Martínez, 2020. "Bibliometric Study of Technology and Occupational Health in Healthcare Sector: A Worldwide Trend to the Future," IJERPH, MDPI, vol. 17(18), pages 1-22, September.
    9. Kose, Toshihiro & Sakata, Ichiro, 2019. "Identifying technology convergence in the field of robotics research," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 751-766.
    10. Daria Maltseva & Vladimir Batagelj, 2020. "iMetrics: the development of the discipline with many names," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 313-359, October.
    11. Xianwen Wang & Xi Zhang & Shenmeng Xu, 2011. "Patent co-citation networks of Fortune 500 companies," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(3), pages 761-770, September.
    12. Woo Hyoung Lee, 2008. "How to identify emerging research fields using scientometrics: An example in the field of Information Security," Scientometrics, Springer;Akadémiai Kiadó, vol. 76(3), pages 503-525, September.
    13. Jae Young Choi & Seongkyoon Jeong & Kyunam Kim, 2015. "A Study on Diffusion Pattern of Technology Convergence: Patent Analysis for Korea," Sustainability, MDPI, vol. 7(9), pages 1-24, August.
    14. Park, Inchae & Yoon, Byungun, 2018. "Technological opportunity discovery for technological convergence based on the prediction of technology knowledge flow in a citation network," Journal of Informetrics, Elsevier, vol. 12(4), pages 1199-1222.
    15. Silva, F.N. & Rodrigues, F.A. & Oliveira, O.N. & da F. Costa, L., 2013. "Quantifying the interdisciplinarity of scientific journals and fields," Journal of Informetrics, Elsevier, vol. 7(2), pages 469-477.
    16. Mario Karlovčec & Dunja Mladenić, 2015. "Interdisciplinarity of scientific fields and its evolution based on graph of project collaboration and co-authoring," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 433-454, January.
    17. Gabriele Sampagnaro, 2023. "Keyword occurrences and journal specialization," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(10), pages 5629-5645, October.
    18. Wagner, Caroline S. & Roessner, J. David & Bobb, Kamau & Klein, Julie Thompson & Boyack, Kevin W. & Keyton, Joann & Rafols, Ismael & Börner, Katy, 2011. "Approaches to understanding and measuring interdisciplinary scientific research (IDR): A review of the literature," Journal of Informetrics, Elsevier, vol. 5(1), pages 14-26.
    19. Quirin, Arnaud & Cordón, Oscar & Vargas-Quesada, Benjamín & de Moya-Anegón, Félix, 2010. "Graph-based data mining: A new tool for the analysis and comparison of scientific domains represented as scientograms," Journal of Informetrics, Elsevier, vol. 4(3), pages 291-312.
    20. Staša Milojević & Loet Leydesdorff, 2013. "Information metrics (iMetrics): a research specialty with a socio-cognitive identity?," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(1), pages 141-157, April.

  176. Loet Leydesdorff, 2007. "Betweenness centrality as an indicator of the interdisciplinarity of scientific journals," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 58(9), pages 1303-1319, July.

    Cited by:

    1. Konstantin Fursov & Alina Kadyrova, 2017. "How the analysis of transitionary references in knowledge networks and their centrality characteristics helps in understanding the genesis of growing technology areas," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1947-1963, June.
    2. Johan Bollen & Herbert Van de Sompel & Aric Hagberg & Ryan Chute, 2009. "A Principal Component Analysis of 39 Scientific Impact Measures," PLOS ONE, Public Library of Science, vol. 4(6), pages 1-11, June.
    3. Lin Zhang & Ronald Rousseau & Wolfgang Glänzel, 2016. "Diversity of references as an indicator of the interdisciplinarity of journals: Taking similarity between subject fields into account," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(5), pages 1257-1265, May.
    4. Su, Hsin-Ning & Moaniba, Igam M., 2017. "Investigating the dynamics of interdisciplinary evolution in technology developments," Technological Forecasting and Social Change, Elsevier, vol. 122(C), pages 12-23.
    5. Frid-Nielsen, Snorre Sylvester & Rubin, Olivier & Baekkeskov, Erik, 2019. "The state of social science research on antimicrobial resistance," Social Science & Medicine, Elsevier, vol. 242(C).
    6. Juste Raimbault, 2019. "Exploration of an interdisciplinary scientific landscape," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 617-641, May.
    7. Gao, Qiang & Liang, Zhentao & Wang, Ping & Hou, Jingrui & Chen, Xiuxiu & Liu, Manman, 2021. "Potential index: Revealing the future impact of research topics based on current knowledge networks," Journal of Informetrics, Elsevier, vol. 15(3).
    8. Youtao Xiang & Sumuya Borjigin, 2024. "High–low volatility spillover network between economic policy uncertainty and commodity futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(8), pages 1295-1319, August.
    9. Shunshun Shi & Wenyu Zhang & Shuai Zhang & Jie Chen, 2018. "Does prestige dimension influence the interdisciplinary performance of scientific entities in knowledge flow? Evidence from the e-government field," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(2), pages 1237-1264, November.
    10. Qiuju Zhou & Ronald Rousseau & Liying Yang & Ting Yue & Guoliang Yang, 2012. "A general framework for describing diversity within systems and similarity between systems with applications in informetrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(3), pages 787-812, December.
    11. Ricardo Arencibia-Jorge & Rosa Lidia Vega-Almeida & José Luis Jiménez-Andrade & Humberto Carrillo-Calvet, 2022. "Evolutionary stages and multidisciplinary nature of artificial intelligence research," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(9), pages 5139-5158, September.
    12. Hyojeong Lim & Yongtae Park, 2010. "Identification of technological knowledge intermediaries," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(3), pages 543-561, September.
    13. Thara Prabhakaran & Hiran H. Lathabai & Susan George, 2019. "Competing, complementary and co-existing paradigms in techno-scientific literature: A case study of Nanotechnology for engineering," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 941-977, March.
    14. Inácio Sousa Fadigas & Marcos Grilo & Hernane Borges Barros Pereira, 2023. "Scientific journal disciplinarity quantification and sorting using a network index," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(3), pages 2563-2573, June.
    15. Rafols, Ismael & Leydesdorff, Loet & O’Hare, Alice & Nightingale, Paul & Stirling, Andy, 2012. "How journal rankings can suppress interdisciplinary research: A comparison between Innovation Studies and Business & Management," Research Policy, Elsevier, vol. 41(7), pages 1262-1282.
    16. Alfonso Ávila-Robinson & Cristian Mejia & Shintaro Sengoku, 2021. "Are bibliometric measures consistent with scientists’ perceptions? The case of interdisciplinarity in research," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(9), pages 7477-7502, September.
    17. Lin Zhang & Wolfgang Glänzel & Liming Liang, 2009. "Tracing the role of individual journals in a cross-citation network based on different indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(3), pages 821-838, December.
    18. Giulio Giacomo Cantone, 2024. "How to measure interdisciplinary research? A systemic design for the model of measurement," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(8), pages 4937-4982, August.
    19. Peter Klimek & Aleksandar Jovanovic & Rainer Egloff & Reto Schneider, 2016. "Successful fish go with the flow: citation impact prediction based on centrality measures for term–document networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(3), pages 1265-1282, June.
    20. Elizabeth S. Vieira & José A. N. F. Gomes, 2011. "The journal relative impact: an indicator for journal assessment," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(2), pages 631-651, November.
    21. Li, Eldon Y. & Liao, Chien Hsiang & Yen, Hsiuju Rebecca, 2013. "Co-authorship networks and research impact: A social capital perspective," Research Policy, Elsevier, vol. 42(9), pages 1515-1530.
    22. Chiara Carusi & Giuseppe Bianchi, 2020. "A look at interdisciplinarity using bipartite scholar/journal networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(2), pages 867-894, February.
    23. María del Carmen Calatrava Moreno & Thomas Auzinger & Hannes Werthner, 2016. "On the uncertainty of interdisciplinarity measurements due to incomplete bibliographic data," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(1), pages 213-232, April.
    24. Yalcin, Haydar & Daim, Tugrul & Moughari, Mahdieh Mokhtari & Mermoud, Alain, 2024. "Supercomputers and quantum computing on the axis of cyber security," Technology in Society, Elsevier, vol. 77(C).
    25. Gong, Jue & Wang, Gang-Jin & Zhou, Yang & Zhu, You & Xie, Chi & Foglia, Matteo, 2023. "Spreading of cross-market volatility information: Evidence from multiplex network analysis of volatility spillovers," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 83(C).
    26. Ran Xu & Navid Ghaffarzadegan, 2018. "Neuroscience bridging scientific disciplines in health: Who builds the bridge, who pays for it?," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(2), pages 1183-1204, November.
    27. Chen, Chaomei & Chen, Yue & Horowitz, Mark & Hou, Haiyan & Liu, Zeyuan & Pellegrino, Donald, 2009. "Towards an explanatory and computational theory of scientific discovery," Journal of Informetrics, Elsevier, vol. 3(3), pages 191-209.
    28. Arif Mehmood & Byung-Won On & Ingyu Lee & Han Woo Park & Gyu Sang Choi, 2018. "Corroborating social media echelon in cancer research," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(2), pages 801-813, March.
    29. Raymundo das Neves Machado & Benjamín Vargas-Quesada & Jacqueline Leta, 2016. "Intellectual structure in stem cell research: exploring Brazilian scientific articles from 2001 to 2010," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(2), pages 525-537, February.
    30. Lina Xu & Steven Dellaportas & Zhiqiang Yang & Jin Wang, 2023. "More on the relationship between interdisciplinary accounting research and citation impact," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(4), pages 4779-4803, December.
    31. Sander Zwanenburg & Maryam Nakhoda & Peter Whigham, 2022. "Toward greater consistency and validity in measuring interdisciplinarity: a systematic and conceptual evaluation," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7769-7788, December.
    32. Gohar Feroz Khan, 2013. "Social media-based systems: an emerging area of information systems research and practice," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(1), pages 159-180, April.
    33. Bilong Shen & Weimin Zheng & Kathleen M. Carley, 2018. "Urban Activity Mining Framework for Ride Sharing Systems Based on Vehicular Social Networks," Networks and Spatial Economics, Springer, vol. 18(3), pages 705-734, September.
    34. Mishra, Sabyasachee & Welch, Timothy F. & Jha, Manoj K., 2012. "Performance indicators for public transit connectivity in multi-modal transportation networks," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(7), pages 1066-1085.
    35. Tanmoy Chakraborty, 2018. "Role of interdisciplinarity in computer sciences: quantification, impact and life trajectory," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(3), pages 1011-1029, March.
    36. Kose, Toshihiro & Sakata, Ichiro, 2019. "Identifying technology convergence in the field of robotics research," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 751-766.
    37. Zhang, Shuai & Yang, Dewei & Ji, Yijia & Meng, Haishan & Zhou, Tian & Zhang, Junmei & Yang, Hang, 2024. "Spatio-temporal patterns and cascading risks of embodied energy flows in China," Energy, Elsevier, vol. 298(C).
    38. Wei Wang & Dechao Ma & Fengzhi Wu & Mengxin Sun & Shuangqing Xu & Qiuyue Hua & Ziyuan Sun, 2023. "Exploring the Knowledge Structure and Hotspot Evolution of Greenwashing: A Visual Analysis Based on Bibliometrics," Sustainability, MDPI, vol. 15(3), pages 1-35, January.
    39. Leah G. Nichols, 2014. "A topic model approach to measuring interdisciplinarity at the National Science Foundation," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(3), pages 741-754, September.
    40. Etienne Farvaque & Frédéric Gannon, 2020. "Profiling giants: The networks and influence of Buchanan and Tullock," Working Papers halshs-02474745, HAL.
    41. Shengli Deng & Sudi Xia, 2020. "Mapping the interdisciplinarity in information behavior research: a quantitative study using diversity measure and co-occurrence analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 489-513, July.
    42. Ren, Bo & Li, Huajiao & Shi, Jianglan & Liu, Yanxin & Qi, Yajie, 2022. "Identifying the key sectors and paths of the embodied energy in BRICS nations: A weighted multilayer network approach," Energy, Elsevier, vol. 239(PB).
    43. Xuefeng Wang & Zhinan Wang & Ying Huang & Yun Chen & Yi Zhang & Huichao Ren & Rongrong Li & Jinhui Pang, 2017. "Measuring interdisciplinarity of a research system: detecting distinction between publication categories and citation categories," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 2023-2039, June.
    44. Fengchao Liu & Na Zhang & Cong Cao, 2017. "An evolutionary process of global nanotechnology collaboration: a social network analysis of patents at USPTO," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1449-1465, June.
    45. An‐Pang Wang & Che‐Wei Chang & Juin‐Ming Tsai & Shiu‐Wan Hung, 2021. "A performance evaluation of Major League Baseball teams: An integrated social network and data envelopment analysis," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(6), pages 1421-1434, September.
    46. Xiomara S. Q. Chacon & Thiago C. Silva & Diego R. Amancio, 2020. "Comparing the impact of subfields in scientific journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 625-639, October.
    47. Witting Antje, 2015. "Measuring the Use of Knowledge in Policy Development," Central European Journal of Public Policy, Sciendo, vol. 9(2), pages 54-62, December.
    48. Katalin Orosz & Illés J. Farkas & Péter Pollner, 2016. "Quantifying the changing role of past publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(2), pages 829-853, August.
    49. Chie Hoon Song, 2021. "Exploring and Predicting the Knowledge Development in the Field of Energy Storage: Evidence from the Emerging Startup Landscape," Energies, MDPI, vol. 14(18), pages 1-20, September.
    50. Tehmina Amjad & Ying Ding & Ali Daud & Jian Xu & Vincent Malic, 2015. "Topic-based heterogeneous rank," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(1), pages 313-334, July.
    51. Saikou Y. Diallo & Christopher J. Lynch & Ross Gore & Jose J. Padilla, 2016. "Identifying key papers within a journal via network centrality measures," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(3), pages 1005-1020, June.
    52. Mark Kibanov & Raphael H. Heiberger & Simone Rödder & Martin Atzmueller & Gerd Stumme, 2019. "Social studies of scholarly life with sensor-based ethnographic observations," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(3), pages 1387-1428, June.
    53. Nesari, Mohammad & Naghizadeh, Mohammad & Ghazinoori, Soroush & Manteghi, Manoochehr, 2022. "The evolution of socio-technical transition studies: A scientometric analysis," Technology in Society, Elsevier, vol. 68(C).
    54. Fabian Jintae Froese & Ashish Malik & Satish Kumar & Saumyaranjan Sahoo, 2022. "Asian business and management: review and future directions," Asian Business & Management, Palgrave Macmillan, vol. 21(5), pages 657-689, November.
    55. Shiji Chen & Yanhui Song & Fei Shu & Vincent Larivière, 2022. "Interdisciplinarity and impact: the effects of the citation time window," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(5), pages 2621-2642, May.
    56. Sun, Xiaoqi & An, Haizhong & Gao, Xiangyun & Jia, Xiaoliang & Liu, Xiaojia, 2016. "Indirect energy flow between industrial sectors in China: A complex network approach," Energy, Elsevier, vol. 94(C), pages 195-205.
    57. Can Huang & Ad Notten & Nico Rasters, 2011. "Nanoscience and technology publications and patents: a review of social science studies and search strategies," The Journal of Technology Transfer, Springer, vol. 36(2), pages 145-172, April.
    58. Jingwei Zheng & Ke Zhang & Boya Han & Jiayi Hou, 2023. "Research Interdisciplinarity and Citation Impact: A Network Analysis of Social Networking Sites Research," SAGE Open, , vol. 13(3), pages 21582440231, August.
    59. Kumar, Satish & Sahoo, Saumyaranjan & Lim, Weng Marc & Kraus, Sascha & Bamel, Umesh, 2022. "Fuzzy-set qualitative comparative analysis (fsQCA) in business and management research: A contemporary overview," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
    60. Eunhye Park & Woo-Hyuk Kim, 2022. "A Retrospective Literature Review of Eating Disorder Research (1990–2021): Application of Bibliometrics and Topical Trends," IJERPH, MDPI, vol. 19(13), pages 1-23, June.
    61. Urdiales, Cristina & Guzmán, Eduardo, 2024. "An automatic and association-based procedure for hierarchical publication subject categorization," Journal of Informetrics, Elsevier, vol. 18(1).
    62. Ismael Rafols & Martin Meyer, 2008. "Diversity and network coherence as indicators of interdisciplinarity: Case studies in bionanoscience," SPRU Working Paper Series 167, SPRU - Science Policy Research Unit, University of Sussex Business School.
    63. Sotaro Shibayama & Jian Wang, 2020. "Measuring originality in science," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 409-427, January.
    64. Carusi, Chiara & Bianchi, Giuseppe, 2019. "Scientific community detection via bipartite scholar/journal graph co-clustering," Journal of Informetrics, Elsevier, vol. 13(1), pages 354-386.
    65. JinHyo Joseph Yun & EuiSeob Jeong & JinSeu Park, 2016. "Network Analysis of Open Innovation," Sustainability, MDPI, vol. 8(8), pages 1-21, July.
    66. Jiming Hu & Yin Zhang, 2017. "Discovering the interdisciplinary nature of Big Data research through social network analysis and visualization," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(1), pages 91-109, July.
    67. Yan, Weiwei & Zhang, Yin, 2018. "Research universities on the ResearchGate social networking site: An examination of institutional differences, research activity level, and social networks formed," Journal of Informetrics, Elsevier, vol. 12(1), pages 385-400.
    68. Bei Zeng & Haihua Lyu & Zhenyue Zhao & Jiang Li, 2021. "Exploring the direction and diversity of interdisciplinary knowledge diffusion: A case study of professor Zeyuan Liu's scientific publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 6253-6272, July.
    69. Gohar Feroz Khan & Junghoon Moon & Han Woo Park, 2011. "Network of the core: mapping and visualizing the core of scientific domains," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(3), pages 759-779, December.
    70. Jorge Mañana Rodríguez, 2017. "Disciplinarity and interdisciplinarity in citation and reference dimensions: knowledge importation and exportation taxonomy of journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 617-642, February.
    71. Silva, F.N. & Rodrigues, F.A. & Oliveira, O.N. & da F. Costa, L., 2013. "Quantifying the interdisciplinarity of scientific journals and fields," Journal of Informetrics, Elsevier, vol. 7(2), pages 469-477.
    72. Mario Maggioni & Teodora Uberti & Mario Nosvelli, 2014. "Does intentional mean hierarchical? Knowledge flows and innovative performance of European regions," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 53(2), pages 453-485, September.
    73. Loureiro, Paulo Maia & Conceição, Cristina Palma, 2019. "Emerging patterns in the academic literature on responsible research and innovation," Technology in Society, Elsevier, vol. 58(C).
    74. A. Abrizah & A. Noorhidawati & A. N. Zainab, 2015. "LIS journals categorization in the Journal Citation Report: a stated preference study," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1083-1099, February.
    75. Shiu-Wan Hung & An-Pang Wang, 2010. "Examining the small world phenomenon in the patent citation network: a case study of the radio frequency identification (RFID) network," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(1), pages 121-134, January.
    76. Etienne Farvaque & Frédéric Gannon, 2018. "Profiling giants," Post-Print hal-02078382, HAL.
    77. Jorge Mannana-Rodriguez & Elea Giménez-Toledo, 2018. "Specialization and multidisciplinarity of scholarly book publishers: differences between Spanish University Presses and other scholarly publishers," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(1), pages 19-30, January.
    78. Batista-Canino, Rosa M. & Santana-Hernández, Lidia & Medina-Brito, Pino, 2024. "A holistic literature review on entrepreneurial Intention: A scientometric approach," Journal of Business Research, Elsevier, vol. 174(C).
    79. Guillermo Armando Ronda-Pupo & Thong Pham, 2018. "The evolutions of the rich get richer and the fit get richer phenomena in scholarly networks: the case of the strategic management journal," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 363-383, July.
    80. Ismael Rafols & Alan Porter & Loet Leydesdorff, 2009. "Overlay Maps of Science: a New Tool for Research Policy," SPRU Working Paper Series 179, SPRU - Science Policy Research Unit, University of Sussex Business School.
    81. Liaquat Hossain & Faezeh Karimi & Rolf T. Wigand & John W. Crawford, 2015. "Evolutionary longitudinal network dynamics of global zoonotic research," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(2), pages 337-353, May.
    82. Yawen Zou & Manfred D. Laubichler, 2017. "Measuring the contributions of Chinese scholars to the research field of systems biology from 2005 to 2013," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(3), pages 1615-1631, March.
    83. Henrique F. Arruda & Cesar H. Comin & Luciano da F. Costa, 2018. "How integrated are theoretical and applied physics?," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(2), pages 1113-1121, August.
    84. Wang, Duo & Sipahi, Rifat, 2024. "Betweenness centrality can inform stability and delay margin in a large-scale connected vehicle system," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 636(C).
    85. Leila Tahmooresnejad & Catherine Beaudry, 2019. "Collaboration or funding: lessons from a study of nanotechnology patenting in Canada and the United States," The Journal of Technology Transfer, Springer, vol. 44(3), pages 741-777, June.
    86. Wang, Qi & Waltman, Ludo, 2016. "Large-scale analysis of the accuracy of the journal classification systems of Web of Science and Scopus," Journal of Informetrics, Elsevier, vol. 10(2), pages 347-364.
    87. Pablo Jensen & Katsiaryna Lutkouskaya, 2014. "The many dimensions of laboratories’ interdisciplinarity," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(1), pages 619-631, January.
    88. Ugo Moschini & Elena Fenialdi & Cinzia Daraio & Giancarlo Ruocco & Elisa Molinari, 2020. "A comparison of three multidisciplinarity indices based on the diversity of Scopus subject areas of authors’ documents, their bibliography and their citing papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1145-1158, November.
    89. Shi, Jianglan & Li, Huajiao & Guan, Jianhe & Sun, Xiaoqi & Guan, Qing & Liu, Xiaojia, 2017. "Evolutionary features of global embodied energy flow between sectors: A complex network approach," Energy, Elsevier, vol. 140(P1), pages 395-405.
    90. Sándor Soós & George Kampis, 2012. "Beyond the basemap of science: mapping multiple structures in research portfolios: evidence from Hungary," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(3), pages 869-891, December.
    91. Wagner, Caroline S. & Roessner, J. David & Bobb, Kamau & Klein, Julie Thompson & Boyack, Kevin W. & Keyton, Joann & Rafols, Ismael & Börner, Katy, 2011. "Approaches to understanding and measuring interdisciplinary scientific research (IDR): A review of the literature," Journal of Informetrics, Elsevier, vol. 5(1), pages 14-26.
    92. Juan María Hernández & Pablo Dorta-González, 2020. "Interdisciplinarity Metric Based on the Co-Citation Network," Mathematics, MDPI, vol. 8(4), pages 1-8, April.
    93. Rousseau, Ronald & Liu, Yuxian & Guns, Raf, 2013. "Mathematical properties of Q-measures," Journal of Informetrics, Elsevier, vol. 7(3), pages 737-745.
    94. Muñoz-Écija, Teresa & Vargas-Quesada, Benjamín & Chinchilla Rodríguez, Zaida, 2019. "Coping with methods for delineating emerging fields: Nanoscience and nanotechnology as a case study," Journal of Informetrics, Elsevier, vol. 13(4).
    95. Aigner, Ernest, 2021. "Global dynamics and country-level development in academic economics: An explorative cognitive-bibliometric study," SRE-Discussion Papers 07/2021, WU Vienna University of Economics and Business.
    96. Marco Seeber & Jef Vlegels & Mattia Cattaneo, 2022. "Conditions that do or do not disadvantage interdisciplinary research proposals in project evaluation," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(8), pages 1106-1126, August.
    97. Kim, Hyeyoung & Park, Hyelin & Song, Min, 2022. "Developing a topic-driven method for interdisciplinarity analysis," Journal of Informetrics, Elsevier, vol. 16(2).
    98. Ozcan, Sercan & Suloglu, Metin & Sakar, C. Okan & Chatufale, Sushant, 2021. "Social media mining for ideation: Identification of sustainable solutions and opinions," Technovation, Elsevier, vol. 107(C).
    99. Benatti, Alexandre & Ferraz de Arrruda, Henrique & Nascimento Silva, Filipi & da Fontoura Costa, Luciano, 2021. "Enriching and analyzing small citation networks: A case study on transistor’s history," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 573(C).
    100. Wolfram, Dietmar & Zhao, Yuehua, 2014. "A comparison of journal similarity across six disciplines using citing discipline analysis," Journal of Informetrics, Elsevier, vol. 8(4), pages 840-853.
    101. Yi Bu & Mengyang Li & Weiye Gu & Win‐bin Huang, 2021. "Topic diversity: A discipline scheme‐free diversity measurement for journals," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(5), pages 523-539, May.
    102. Wooseok Jang & Heeyeul Kwon & Yongtae Park & Hakyeon Lee, 2018. "Predicting the degree of interdisciplinarity in academic fields: the case of nanotechnology," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 231-254, July.
    103. Hu, Xiaojun & Rousseau, Ronald & Chen, Jin, 2011. "Time series of outgrow indices," Journal of Informetrics, Elsevier, vol. 5(3), pages 413-421.

  177. Loet Leydesdorff, 2007. "Should co‐occurrence data be normalized? A rejoinder," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 58(14), pages 2411-2413, December.

    Cited by:

    1. García-Lillo, Francisco & Seva-Larrosa, Pedro & Sánchez-García, Eduardo, 2024. "On the basis of research on ‘green’ in the disciplines of management and business," Journal of Business Research, Elsevier, vol. 172(C).
    2. García-Lillo, Francisco & Seva-Larrosa, Pedro & Sánchez-García, Eduardo, 2023. "What is going on in entrepreneurship research? A bibliometric and SNA analysis," Journal of Business Research, Elsevier, vol. 158(C).

  178. Loet Leydesdorff, 2007. "Visualization of the citation impact environments of scientific journals: An online mapping exercise," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 58(1), pages 25-38, January.

    Cited by:

    1. Johan Bollen & Herbert Van de Sompel & Aric Hagberg & Ryan Chute, 2009. "A Principal Component Analysis of 39 Scientific Impact Measures," PLOS ONE, Public Library of Science, vol. 4(6), pages 1-11, June.
    2. C.M. Calero Medina & T.N. Leeuwen, 2012. "Seed journal citation network maps: A method based on network theory," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(6), pages 1226-1234, June.
    3. Pedro Cosme Vieira & Aurora A.C. Teixeira, 2006. "Are Finance, Management, and Marketing Autonomous Fields of Scientific Research? An Analysis Based on Journal Citations," FEP Working Papers 233, Universidade do Porto, Faculdade de Economia do Porto.
    4. Ping Zhou & Youneng Pan, 2015. "A comparative analysis of publication portfolios of selected economies," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(2), pages 825-842, November.
    5. Thara Prabhakaran & Hiran H. Lathabai & Susan George, 2019. "Competing, complementary and co-existing paradigms in techno-scientific literature: A case study of Nanotechnology for engineering," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 941-977, March.
    6. Dejian Yu, 2015. "A scientometrics review on aggregation operator research," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(1), pages 115-133, October.
    7. Loet Leydesdorff, 2007. "Mapping interdisciplinarity at the interfaces between the Science Citation Index and the Social Science Citation Index," Scientometrics, Springer;Akadémiai Kiadó, vol. 71(3), pages 391-405, June.
    8. Рубинштейн Александр Яковлевич, "undated". "Ранжирование Российских Экономических Журналов: Научный Метод Или «Игра В Цыфирь»? [Ran Ranking of Russian Economic Journals: The Scientific Method or “Numbers Game”?]," Working papers a:pru175:ye:2016:1, Institute of Economics.
    9. Angelito Calma & Martin Davies, 2017. "Geographies of influence: a citation network analysis of Higher Education 1972–2014," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(3), pages 1579-1599, March.
    10. Alberto Baccini & Giuseppe De Nicolao & Eugenio Petrovich, 2019. "Citation gaming induced by bibliometric evaluation: A country-level comparative analysis," PLOS ONE, Public Library of Science, vol. 14(9), pages 1-16, September.
    11. Sara Cruz & Aurora Teixeira, 2010. "The Evolution of the Cluster Literature: Shedding Light on the Regional Studies-Regional Science Debate," Regional Studies, Taylor & Francis Journals, vol. 44(9), pages 1263-1288.
    12. Han Woo Park & Loet Leydesdorff, 2008. "Korean journals in the Science Citation Index: What do they reveal about the intellectual structure of S&T in Korea?," Scientometrics, Springer;Akadémiai Kiadó, vol. 75(3), pages 439-462, June.
    13. Loet Leydesdorff, 2007. "Environment and Planning B: Planning and Design as a Journal: The Interdisciplinarity of its Environment and the Citation Impact," Environment and Planning B, , vol. 34(5), pages 826-838, October.
    14. Han Woo Park & Loet Leydesdorff, 2009. "Knowledge linkage structures in communication studies using citation analysis among communication journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(1), pages 157-175, October.
    15. Massaro, Sebastiano & Lorenzoni, Gianni, 2021. "Nanomedicine: a socio-technical system," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    16. Aleskerov, F. & Badgaeva, D. & Pislyakov, V. & Sterligov, I. & Shvydun, S., 2016. "An Importance of Russian and International Economic Journals: a Network Approach," Journal of the New Economic Association, New Economic Association, vol. 30(2), pages 193-205.
    17. Claudio Nicolini & Fabrizio Nozza, 2008. "Objective assessment of scientific performances world-wide," Scientometrics, Springer;Akadémiai Kiadó, vol. 76(3), pages 527-541, September.
    18. Koen Jonkers, 2010. "Models and orphans; concentration of the plant molecular life science research agenda," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(1), pages 167-179, April.

  179. Ping Zhou & Loet Leydesdorff, 2007. "The citation impacts and citation environments of Chinese journals in mathematics," Scientometrics, Springer;Akadémiai Kiadó, vol. 72(2), pages 185-200, August.

    Cited by:

    1. C.M. Calero Medina & T.N. Leeuwen, 2012. "Seed journal citation network maps: A method based on network theory," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(6), pages 1226-1234, June.
    2. Ping Zhou & Youneng Pan, 2015. "A comparative analysis of publication portfolios of selected economies," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(2), pages 825-842, November.
    3. Hakyeon Lee, 2015. "Uncovering the multidisciplinary nature of technology management: journal citation network analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 51-75, January.
    4. Ping Zhou & Bart Thijs & Wolfgang Glänzel, 2009. "Is China also becoming a giant in social sciences?," Scientometrics, Springer;Akadémiai Kiadó, vol. 79(3), pages 593-621, June.
    5. Deise Deolindo Silva & Maria Cláudia Cabrini Grácio, 2021. "Dispersion measures for h-index: a study of the Brazilian researchers in the field of mathematics," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(3), pages 1983-2011, March.
    6. Juana Paul Moiwo & Fulu Tao, 2013. "The changing dynamics in citation index publication position China in a race with the USA for global leadership," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(3), pages 1031-1050, June.

  180. Loet Leydesdorff & Ping Zhou, 2007. "Nanotechnology as a field of science: Its delineation in terms of journals and patents," Scientometrics, Springer;Akadémiai Kiadó, vol. 70(3), pages 693-713, March.

    Cited by:

    1. Ugo Finardi, 2013. "The technological paradigm of Nanosciences and Technologies: a study of science-technology time and space relations," Economía: teoría y práctica, Universidad Autónoma Metropolitana, México, vol. 39(2), pages 11-29, Julio-Dic.
    2. Mario Coccia & Lili Wang, 2014. "Path-breaking directions of nanotechnology-based chemotherapy and molecular cancer therapy," CERIS Working Paper 201401, CNR-IRCrES Research Institute on Sustainable Economic Growth - Torino (TO) ITALY - former Institute for Economic Research on Firms and Growth - Moncalieri (TO) ITALY.
    3. R. Karpagam & S. Gopalakrishnan & M. Natarajan & B. Ramesh Babu, 2011. "Mapping of nanoscience and nanotechnology research in India: a scientometric analysis, 1990–2009," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(2), pages 501-522, November.
    4. Pedro Cosme Vieira & Aurora A.C. Teixeira, 2006. "Are Finance, Management, and Marketing Autonomous Fields of Scientific Research? An Analysis Based on Journal Citations," FEP Working Papers 233, Universidade do Porto, Faculdade de Economia do Porto.
    5. Jiancheng Guan & Gangbo Wang, 2010. "A comparative study of research performance in nanotechnology for China’s inventor–authors and their non-inventing peers," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(2), pages 331-343, August.
    6. Patrick Herron & Aashish Mehta & Cong Cao & Timothy Lenoir, 2016. "Research diversification and impact: the case of national nanoscience development," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 629-659, November.
    7. Hakyeon Lee, 2015. "Uncovering the multidisciplinary nature of technology management: journal citation network analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 51-75, January.
    8. Alessandra Colombelli & Jackie Krafft & Francesco Quatraro, 2012. "The emergence of new technology-based sectors at the regional level: a proximity-based analysis of nanotechnology," Papers in Evolutionary Economic Geography (PEEG) 1211, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Jun 2012.
    9. Wang, Gangbo & Guan, Jiancheng, 2010. "The role of patenting activity for scientific research: A study of academic inventors from China's nanotechnology," Journal of Informetrics, Elsevier, vol. 4(3), pages 338-350.
    10. Laura I. Schultz & Frederick L. Joutz, 2010. "Methods for identifying emerging General Purpose Technologies: a case study of nanotechnologies," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(1), pages 155-170, October.
    11. Yoscelina Iraida Hernandez-García & Mónica Anzaldo Montoya, 2021. "Flow of ideas in the study of communication channels and references in publications on nanotechnology applied to food and agriculture in Mexico," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 995-1017, February.
    12. Sanjay K. Arora & Alan L. Porter & Jan Youtie & Philip Shapira, 2013. "Capturing new developments in an emerging technology: an updated search strategy for identifying nanotechnology research outputs," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(1), pages 351-370, April.
    13. Mario Coccia & Ugo Finardi & Diego Margon, 2010. "Research trends in nanotechnology studies across geo-economic areas," CERIS Working Paper 201005, CNR-IRCrES Research Institute on Sustainable Economic Growth - Torino (TO) ITALY - former Institute for Economic Research on Firms and Growth - Moncalieri (TO) ITALY.
    14. Qingjun Zhao & Jiancheng Guan, 2012. "Modeling the dynamic relation between science and technology in nanotechnology," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(2), pages 561-579, February.
    15. Fengchao Liu & Na Zhang & Cong Cao, 2017. "An evolutionary process of global nanotechnology collaboration: a social network analysis of patents at USPTO," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1449-1465, June.
    16. Han Woo Park & Loet Leydesdorff, 2008. "Korean journals in the Science Citation Index: What do they reveal about the intellectual structure of S&T in Korea?," Scientometrics, Springer;Akadémiai Kiadó, vol. 75(3), pages 439-462, June.
    17. Persoon, P.G.J. & Bekkers, R.N.A. & Alkemade, F., 2020. "The science base of renewables," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
    18. Jia Zheng & Zhi-yun Zhao & Xu Zhang & Dar-zen Chen & Mu-hsuan Huang, 2014. "International collaboration development in nanotechnology: a perspective of patent network analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(1), pages 683-702, January.
    19. Loet Leydesdorff, 2008. "The delineation of nanoscience and nanotechnology in terms of journals and patents: A most recent update," Scientometrics, Springer;Akadémiai Kiadó, vol. 76(1), pages 159-167, July.
    20. Ugo Finardi, 2011. "Time relations between scientific production and patenting of knowledge: the case of nanotechnologies," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(1), pages 37-50, October.
    21. Aurora A.C. Teixeira, 2011. "Mapping the (In)visible College(s) in the Field of Entrepreneurship," FEP Working Papers 416, Universidade do Porto, Faculdade de Economia do Porto.
    22. Antoine Peris & Evert Meijers & Maarten Ham, 2018. "The Evolution of the Systems of Cities Literature Since 1995: Schools of Thought and their Interaction," Networks and Spatial Economics, Springer, vol. 18(3), pages 533-554, September.
    23. Can Huang & Ad Notten & Nico Rasters, 2011. "Nanoscience and technology publications and patents: a review of social science studies and search strategies," The Journal of Technology Transfer, Springer, vol. 36(2), pages 145-172, April.
    24. Ismael Rafols & Martin Meyer, 2008. "Diversity and network coherence as indicators of interdisciplinarity: Case studies in bionanoscience," SPRU Working Paper Series 167, SPRU - Science Policy Research Unit, University of Sussex Business School.
    25. Philip Shapira & Seokbeom Kwon & Jan Youtie, 2017. "Tracking the emergence of synthetic biology," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1439-1469, September.
    26. T. Gorjiara & C. Baldock, 2014. "Nanoscience and nanotechnology research publications: a comparison between Australia and the rest of the world," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(1), pages 121-148, July.
    27. Qingjun Zhao & Jiancheng Guan, 2013. "Love dynamics between science and technology: some evidences in nanoscience and nanotechnology," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(1), pages 113-132, January.
    28. Elena M. Tur & Evangelos Bourelos & Maureen McKelvey, 2022. "The case of sleeping beauties in nanotechnology: a study of potential breakthrough inventions in emerging technologies," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 69(3), pages 683-708, December.
    29. Tomaz Bartol & Karmen Stopar, 2015. "Nano language and distribution of article title terms according to power laws," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(2), pages 435-451, May.
    30. Laura Schultz, 2011. "Nanotechnology’s triple helix: a case study of the University at Albany’s College of Nanoscale Science and Engineering," The Journal of Technology Transfer, Springer, vol. 36(5), pages 546-564, October.
    31. Guang Yu & Ming-Yang Wang & Da-Ren Yu, 2010. "Characterizing knowledge diffusion of Nanoscience & Nanotechnology by citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(1), pages 81-97, July.
    32. Karmen Stopar & Damjana Drobne & Klemen Eler & Tomaz Bartol, 2016. "Citation analysis and mapping of nanoscience and nanotechnology: identifying the scope and interdisciplinarity of research," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(2), pages 563-581, February.
    33. Mario Coccia & Ugo Finardi & Diego Margon, 2012. "Current trends in nanotechnology research across worldwide geo-economic players," The Journal of Technology Transfer, Springer, vol. 37(5), pages 777-787, October.
    34. Ying Huang & Jannik Schuehle & Alan L. Porter & Jan Youtie, 2015. "A systematic method to create search strategies for emerging technologies based on the Web of Science: illustrated for ‘Big Data’," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 2005-2022, December.
    35. Muñoz-Écija, Teresa & Vargas-Quesada, Benjamín & Chinchilla Rodríguez, Zaida, 2019. "Coping with methods for delineating emerging fields: Nanoscience and nanotechnology as a case study," Journal of Informetrics, Elsevier, vol. 13(4).
    36. Ugo Finardi, 2010. "Temporal and spatial relations between patents and scientific journal articles: the case of nanotechnologies," CERIS Working Paper 201007, CNR-IRCrES Research Institute on Sustainable Economic Growth - Torino (TO) ITALY - former Institute for Economic Research on Firms and Growth - Moncalieri (TO) ITALY.
    37. Xia Gao & Jiancheng Guan, 2009. "Networks of scientific journals: An exploration of Chinese patent data," Scientometrics, Springer;Akadémiai Kiadó, vol. 80(1), pages 283-302, July.
    38. Kang, Inje & Yang, Jiseong & Lee, Wonjae & Seo, Eun-Yeong & Lee, Duk Hee, 2023. "Delineating development trends of nanotechnology in the semiconductor industry: Focusing on the relationship between science and technology by employing structural topic model," Technology in Society, Elsevier, vol. 74(C).
    39. Bonaccorsi, Andrea & Vargas, Juan, 2010. "Proliferation dynamics in new sciences," Research Policy, Elsevier, vol. 39(8), pages 1034-1050, October.
    40. María-Antonia Ovalle-Perandones & Juan Gorraiz & Martin Wieland & Christian Gumpenberger & Carlos Olmeda-Gómez, 2013. "The influence of European Framework Programmes on scientific collaboration in nanotechnology," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(1), pages 59-74, October.
    41. Loet Leydesdorff & Caroline Wagner, 2009. "Is the United States losing ground in science? A global perspective on the world science system," Scientometrics, Springer;Akadémiai Kiadó, vol. 78(1), pages 23-36, January.
    42. Alessandra Colombelli & Jackie Krafft & Francesco Quatraro, 2014. "The emergence of new technology-based sectors in European regions: A proximity-based analysis of nanotechnology," Post-Print halshs-01060897, HAL.
    43. Aashish Mehta & Patrick Herron & Yasuyuki Motoyama & Richard Appelbaum & Timothy Lenoir, 2012. "Globalization and de-globalization in nanotechnology research: the role of China," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(2), pages 439-458, November.
    44. Wooseok Jang & Heeyeul Kwon & Yongtae Park & Hakyeon Lee, 2018. "Predicting the degree of interdisciplinarity in academic fields: the case of nanotechnology," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 231-254, July.

  181. Zhou, Ping & Leydesdorff, Loet, 2006. "The emergence of China as a leading nation in science," Research Policy, Elsevier, vol. 35(1), pages 83-104, February.

    Cited by:

    1. Yi Zhang & Mingting Kou & Kaihua Chen & Jiancheng Guan & Yuchen Li, 2016. "Modelling the Basic Research Competitiveness Index (BR-CI) with an application to the biomass energy field," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(3), pages 1221-1241, September.
    2. Weishu Liu & Li Tang & Mengdi Gu & Guangyuan Hu, 2015. "Feature report on China: a bibliometric analysis of China-related articles," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 503-517, January.
    3. Wolfgang Glänzel & Koenraad Debackere & Martin Meyer, 2008. "‘Triad’ or ‘tetrad’? On global changes in a dynamic world," Scientometrics, Springer;Akadémiai Kiadó, vol. 74(1), pages 71-88, January.
    4. Peter James Bentley, 2015. "Cross-country differences in publishing productivity of academics in research universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 865-883, January.
    5. Youliang Huang & Mingquan Zhou & Qingqiong Deng & Juan Zhang & Pengbo Zhou & XianGang Shang, 2015. "Bibliometric analysis for the literature of traditional Chinese medicine in PubMed," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(1), pages 557-566, October.
    6. Tianwei He, 2009. "International scientific collaboration of China with the G7 countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 80(3), pages 571-582, September.
    7. Jiancheng Guan & Gangbo Wang, 2010. "A comparative study of research performance in nanotechnology for China’s inventor–authors and their non-inventing peers," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(2), pages 331-343, August.
    8. Hamid Bouabid & Vincent Larivière, 2013. "The lengthening of papers’ life expectancy: a diachronous analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(3), pages 695-717, December.
    9. Feng Li & Yong Yi & Xiaolong Guo & Wei Qi, 2012. "Performance evaluation of research universities in Mainland China, Hong Kong and Taiwan: based on a two-dimensional approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(2), pages 531-542, February.
    10. Weishu Liu & Yishan Ding & Mengdi Gu, 2017. "Book reviews in academic journals: patterns and dynamics," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(1), pages 355-364, January.
    11. Ping Zhou & Youneng Pan, 2015. "A comparative analysis of publication portfolios of selected economies," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(2), pages 825-842, November.
    12. Yuzhuo Cai & Borja Ramis Ferrer & Jose Luis Martinez Lastra, 2019. "Building University-Industry Co-Innovation Networks in Transnational Innovation Ecosystems: Towards a Transdisciplinary Approach of Integrating Social Sciences and Artificial Intelligence," Sustainability, MDPI, vol. 11(17), pages 1-23, August.
    13. Bohnstedt, Anna & Schwarz, Christian & Suedekum, Jens, 2010. "Globalization and Strategic Research Investments," IZA Discussion Papers 5405, Institute of Labor Economics (IZA).
    14. Confraria, Hugo & Godinho, Manuel & Wang, Lili, 2016. "Determinants of citation impact: A comparative analysis of the Global South versus the Global North," MERIT Working Papers 2016-029, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    15. Ping Zhou & Wolfgang Glänzel, 2010. "In-depth analysis on China’s international cooperation in science," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(3), pages 597-612, March.
    16. de Oliveira, Thaiane Moreira & de Albuquerque, Sofia & Toth, Janderson Pereira & Bello, Debora Zava, 2018. "International cooperation networks of the BRICS bloc," SocArXiv b6x43, Center for Open Science.
    17. Estevão, João & Lopes, José Dias & Penela, Daniela, 2023. "SDG9 and the competitiveness: Employing mixed methods to understand how countries can use science to compete," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
    18. Yves Gingras & Mahdi Khelfaoui, 2018. "Assessing the effect of the United States’ “citation advantage” on other countries’ scientific impact as measured in the Web of Science (WoS) database," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(2), pages 517-532, February.
    19. Jo Royle & Louisa Coles & Dorothy Williams & Paul Evans, 2007. "Publishing in international journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 71(1), pages 59-86, April.
    20. Markus Eberhardt & Christian Helmers & Zhihong Yu, 2011. "Is the Dragon Learning to Fly? An Analysis of the Chinese Patent Explosion," Discussion Papers 11/16, University of Nottingham, GEP.
    21. Hu, Albert G.Z., 2020. "Public funding and the ascent of Chinese science: Evidence from the National Natural Science Foundation of China," Research Policy, Elsevier, vol. 49(5).
    22. Nakajima, Kazuki & Liu, Ruodan & Shudo, Kazuyuki & Masuda, Naoki, 2023. "Quantifying gender imbalance in East Asian academia: Research career and citation practice," Journal of Informetrics, Elsevier, vol. 17(4).
    23. Weishu Liu & Meiting Huang & Haifeng Wang, 2021. "Same journal but different numbers of published records indexed in Scopus and Web of Science Core Collection: causes, consequences, and solutions," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(5), pages 4541-4550, May.
    24. Leydesdorff, Loet & Wagner, Caroline, 2009. "Macro-level indicators of the relations between research funding and research output," Journal of Informetrics, Elsevier, vol. 3(4), pages 353-362.
    25. Rosa Misso, 2006. "Innovazione, Informazione Ed Inclusione: Dinamiche Di Sviluppo E Strategie Competitive Dei Sistemi Territoriali A Vocazione Agroalimentare," Working Papers 2_2006, D.E.S. (Department of Economic Studies), University of Naples "Parthenope", Italy.
    26. Richard B. Freeman, 2006. "Does Globalization of the Scientific/Engineering Workforce Threaten US Economic Leadership?," NBER Chapters, in: Innovation Policy and the Economy, Volume 6, pages 123-158, National Bureau of Economic Research, Inc.
    27. Kostoff, Ronald N., 2008. "Comparison of China/USA science and technology performance," Journal of Informetrics, Elsevier, vol. 2(4), pages 354-363.
    28. Wang, Gangbo & Guan, Jiancheng, 2010. "The role of patenting activity for scientific research: A study of academic inventors from China's nanotechnology," Journal of Informetrics, Elsevier, vol. 4(3), pages 338-350.
    29. Li Tang & Philip Shapira, 2011. "Regional development and interregional collaboration in the growth of nanotechnology research in China," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(2), pages 299-315, February.
    30. Maria Karaulova & Abdullah Gök & Oliver Shackleton & Philip Shapira, 2016. "Science system path-dependencies and their influences: nanotechnology research in Russia," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(2), pages 645-670, May.
    31. Liu, Weishu & Hu, Guangyuan & Tang, Li & Wang, Yuandi, 2015. "China's global growth in social science research: Uncovering evidence from bibliometric analyses of SSCI publications (1978–2013)," Journal of Informetrics, Elsevier, vol. 9(3), pages 555-569.
    32. Ping Zhou & Bart Thijs & Wolfgang Glänzel, 2009. "Regional analysis on Chinese scientific output," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(3), pages 839-857, December.
    33. Lu, Kun & Wolfram, Dietmar, 2010. "Geographic characteristics of the growth of informetrics literature 1987–2008," Journal of Informetrics, Elsevier, vol. 4(4), pages 591-601.
    34. Petersen, Alexander M. & Pan, Raj K. & Pammolli, Fabio & Fortunato, Santo, 2019. "Methods to account for citation inflation in research evaluation," Research Policy, Elsevier, vol. 48(7), pages 1855-1865.
    35. Maziar Montazerian & Edgar Dutra Zanotto & Hellmut Eckert, 2019. "A new parameter for (normalized) evaluation of H-index: countries as a case study," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 1065-1078, March.
    36. Gregory J Hather & Winston Haynes & Roger Higdon & Natali Kolker & Elizabeth A Stewart & Peter Arzberger & Patrick Chain & Dawn Field & B Robert Franza & Biaoyang Lin & Folker Meyer & Vural Ozdemir & , 2010. "The United States of America and Scientific Research," PLOS ONE, Public Library of Science, vol. 5(8), pages 1-9, August.
    37. Ping Zhou & Loet Leydesdorff, 2007. "The citation impacts and citation environments of Chinese journals in mathematics," Scientometrics, Springer;Akadémiai Kiadó, vol. 72(2), pages 185-200, August.
    38. V'it Mach'av{c}ek, 2021. "Globalization of Scientific Communication: Evidence from authors in academic journals by country of origin," Papers 2112.02672, arXiv.org.
    39. Wong, Chan-Yuan & Goh, Kim-Leng, 2012. "The sustainability of functionality development of science and technology: Papers and patents of emerging economies," Journal of Informetrics, Elsevier, vol. 6(1), pages 55-65.
    40. Chi Mai Nguyen & Jae-Yong Choung, 2020. "Scientific knowledge production in China: a comparative analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1279-1303, August.
    41. Stefano Scarazzati & Lili Wang, 2019. "The effect of collaborations on scientific research output: the case of nanoscience in Chinese regions," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(2), pages 839-868, November.
    42. Mahmut Yaşar & Catherine Paul, 2012. "Firm performance and knowledge spillovers from academic, industrial and foreign linkages: the case of China," Journal of Productivity Analysis, Springer, vol. 38(3), pages 237-253, December.
    43. Wang, L., 2014. "The structure and comparative advantages of China's scientific research: Quantitative and qualitative perspectives," MERIT Working Papers 2014-028, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    44. Gernot Hutschenreiter & Gang Zhang, 2007. "China’s Quest for Innovation-Driven Growth—The Policy Dimension," Journal of Industry, Competition and Trade, Springer, vol. 7(3), pages 245-254, December.
    45. Ai-Yuan Liu & Shi-Ying Li & Yu-Qing Guo, 2014. "Characteristics of research on bioinformatics in China assessed with Science Citation Index Expanded," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(2), pages 371-391, May.
    46. Tang, Li, 2013. "Does “birds of a feather flock together” matter—Evidence from a longitudinal study on US–China scientific collaboration," Journal of Informetrics, Elsevier, vol. 7(2), pages 330-344.
    47. Maxim Kotsemir, 2019. "Unmanned aerial vehicles research in Scopus: an analysis and visualization of publication activity and research collaboration at the country level," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(4), pages 2143-2173, July.
    48. Claude Robert & Concepción S. Wilson & Jean-François Gaudy & Charles-Daniel Arreto, 2007. "The evolution of the sleep science literature over 30 years: A bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 73(2), pages 231-256, November.
    49. Sanjay K. Arora & Jan Youtie & Philip Shapira & Lidan Gao & TingTing Ma, 2013. "Entry strategies in an emerging technology: a pilot web-based study of graphene firms," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(3), pages 1189-1207, June.
    50. Caroline S. Wagner & Lin Zhang & Loet Leydesdorff, 2022. "A discussion of measuring the top-1% most-highly cited publications: quality and impact of Chinese papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(4), pages 1825-1839, April.
    51. Jingjing Zhang & Yan Yan & Jiancheng Guan, 2015. "Scientific relatedness in solar energy: a comparative study between the USA and China," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1595-1613, February.
    52. Fu, Junying & Frietsch, Rainer & Tagscherer, Ulrike, 2013. "Publication activity in the Science Citation Index Expanded (SCIE) database in the context of Chinese science and technology policy from 1977 to 2012," Discussion Papers "Innovation Systems and Policy Analysis" 35, Fraunhofer Institute for Systems and Innovation Research (ISI).
    53. Jia Zheng & Zhi-yun Zhao & Xu Zhang & Dar-zen Chen & Mu-hsuan Huang, 2014. "International collaboration development in nanotechnology: a perspective of patent network analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(1), pages 683-702, January.
    54. Loet Leydesdorff, 2008. "The delineation of nanoscience and nanotechnology in terms of journals and patents: A most recent update," Scientometrics, Springer;Akadémiai Kiadó, vol. 76(1), pages 159-167, July.
    55. Caroline S. Wagner & Xiaojing Cai & Satyam Mukherjee, 2020. "China’s scholarship shows atypical referencing patterns," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2457-2468, September.
    56. Chan-Yuan Wong, 2019. "A century of scientific publication: towards a theorization of growth behavior and research-orientation," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(1), pages 357-377, April.
    57. Nestor Gandelman & Osiris J. Parcero & Flavia Roldán, 2021. "Opportunities to upgrade the scientific disciplines space," Documentos de Investigación 126, Universidad ORT Uruguay. Facultad de Administración y Ciencias Sociales.
    58. Ehsan Mohammadi, 2012. "Knowledge mapping of the Iranian nanoscience and technology: a text mining approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(3), pages 593-608, September.
    59. Liu, Meijun & Jaiswal, Ajay & Bu, Yi & Min, Chao & Yang, Sijie & Liu, Zhibo & Acuña, Daniel & Ding, Ying, 2022. "Team formation and team impact: The balance between team freshness and repeat collaboration," Journal of Informetrics, Elsevier, vol. 16(4).
    60. Cimini, Giulio & Zaccaria, Andrea & Gabrielli, Andrea, 2016. "Investigating the interplay between fundamentals of national research systems: Performance, investments and international collaborations," Journal of Informetrics, Elsevier, vol. 10(1), pages 200-211.
    61. Wong, Chan-Yuan & Goh, Kim-Leng, 2010. "Growth behavior of publications and patents: A comparative study on selected Asian economies," Journal of Informetrics, Elsevier, vol. 4(4), pages 460-474.
    62. Loet Leydesdorff & Ping Zhou, 2007. "Nanotechnology as a field of science: Its delineation in terms of journals and patents," Scientometrics, Springer;Akadémiai Kiadó, vol. 70(3), pages 693-713, March.
    63. Ingo Liefner & Stefan Hennemann, 2011. "Structural Holes and New Dimensions of Distance: The Spatial Configuration of the Scientific Knowledge Network of China's Optical Technology Sector," Environment and Planning A, , vol. 43(4), pages 810-829, April.
    64. A. Basu & P. Foland & G. Holdridge & R. D. Shelton, 2018. "China’s rising leadership in science and technology: quantitative and qualitative indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(1), pages 249-269, October.
    65. Sujit Bhattacharya & Shilpa & Madhulika Bhati, 2012. "China and India: The two new players in the nanotechnology race," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(1), pages 59-87, October.
    66. Thijs A. Velema, 2012. "The contingent nature of brain gain and brain circulation: their foreign context and the impact of return scientists on the scientific community in their country of origin," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(3), pages 893-913, December.
    67. Chan-Yuan Wong & Kim-Leng Goh, 2010. "Modeling the behaviour of science and technology: self-propagating growth in the diffusion process," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(3), pages 669-686, September.
    68. Dabo Guan & David M. Reiner & Zhu Liu, 2014. "China’s road to a global scientific powerhouse," Cambridge Working Papers in Economics 1447, Faculty of Economics, University of Cambridge.
    69. Caroline S. Wagner & Shing Kit Wong, 2012. "Unseen science? Representation of BRICs in global science," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(3), pages 1001-1013, March.
    70. Ping Zhou & Bart Thijs & Wolfgang Glänzel, 2009. "Is China also becoming a giant in social sciences?," Scientometrics, Springer;Akadémiai Kiadó, vol. 79(3), pages 593-621, June.
    71. Fu, Hui-Zhen & Ho, Yuh-Shan, 2013. "Independent research of China in Science Citation Index Expanded during 1980–2011," Journal of Informetrics, Elsevier, vol. 7(1), pages 210-222.
    72. Yutao Sun & Cong Cao, 2020. "The dynamics of the studies of China’s science, technology and innovation (STI): a bibliometric analysis of an emerging field," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1335-1365, August.
    73. Cinzia Daraio & Francesco Fabbri & Giulia Gavazzi & Maria Grazia Izzo & Luca Leuzzi & Giammarco Quaglia & Giancarlo Ruocco, 2018. "Assessing the interdependencies between scientific disciplinary profiles," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(3), pages 1785-1803, September.
    74. Burhan, Muqbil & Singh, Anil K. & Jain, Sudhir K., 2017. "Patents as proxy for measuring innovations: A case of changing patent filing behavior in Indian public funded research organizations," Technological Forecasting and Social Change, Elsevier, vol. 123(C), pages 181-190.
    75. Guan, Jiancheng & Ma, Nan, 2007. "China's emerging presence in nanoscience and nanotechnology: A comparative bibliometric study of several nanoscience `giants'," Research Policy, Elsevier, vol. 36(6), pages 880-886, July.
    76. Can Huang & Ad Notten & Nico Rasters, 2011. "Nanoscience and technology publications and patents: a review of social science studies and search strategies," The Journal of Technology Transfer, Springer, vol. 36(2), pages 145-172, April.
    77. Büttner, Benjamin & Firat, Murat & Raiteri, Emilio, 2022. "Patents and knowledge diffusion," Research Policy, Elsevier, vol. 51(10).
    78. Harzing, Anne-Wil & Giroud, Axèle, 2014. "The competitive advantage of nations: An application to academia," Journal of Informetrics, Elsevier, vol. 8(1), pages 29-42.
    79. Xianwen Wang & Shenmeng Xu & Zhi Wang & Lian Peng & Chuanli Wang, 2013. "International scientific collaboration of China: collaborating countries, institutions and individuals," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(3), pages 885-894, June.
    80. Karaulova, Maria & Shackleton, Oliver & Liu, Weishu & Gök, Abdullah & Shapira, Philip, 2017. "Institutional change and innovation system transformation: A tale of two academies," Technological Forecasting and Social Change, Elsevier, vol. 116(C), pages 196-207.
    81. Jonkers, Koen, 2011. "A functionalist framework to compare research systems applied to an analysis of the transformation of the Chinese research system," Research Policy, Elsevier, vol. 40(9), pages 1295-1306.
    82. Cao, Cong & Appelbaum, Richard P. & Parker, Rachel, 2013. "“Research is high and the market is far away”: Commercialization of nanotechnology in China," Technology in Society, Elsevier, vol. 35(1), pages 55-64.
    83. Reinhilde Veugelers, 2010. "Towards a multipolar science world: trends and impact," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(2), pages 439-456, February.
    84. Camil Demetrescu & Irene Finocchi & Andrea Ribichini & Marco Schaerf, 2022. "On computer science research and its temporal evolution," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(8), pages 4913-4938, August.
    85. Ali Bastas, 2021. "Sustainable Manufacturing Technologies: A Systematic Review of Latest Trends and Themes," Sustainability, MDPI, vol. 13(8), pages 1-22, April.
    86. Junwen Zhu & Weishu Liu, 2020. "Comparing like with like: China ranks first in SCI-indexed research articles since 2018," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1691-1700, August.
    87. Sonia E. Monroy & Hernando Diaz, 2018. "Time series-based bibliometric analysis of the dynamics of scientific production," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(3), pages 1139-1159, June.
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    89. T. Gorjiara & C. Baldock, 2014. "Nanoscience and nanotechnology research publications: a comparison between Australia and the rest of the world," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(1), pages 121-148, July.
    90. Qingjun Zhao & Jiancheng Guan, 2013. "Love dynamics between science and technology: some evidences in nanoscience and nanotechnology," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(1), pages 113-132, January.
    91. Hao Mao & Lauren A. Johnston & Zhifeng Yin, 2019. "The Self-Reported Patent Quality Of Chinese Firms: Motivation Source And Technology Accumulation Effects Analysis," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 64(04), pages 939-960, September.
    92. Mahdi Khelfaoui & Julien Larrègue & Vincent Larivière & Yves Gingras, 2020. "Measuring national self-referencing patterns of major science producers," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(2), pages 979-996, May.
    93. Pierre Courtioux & François Métivier & Antoine Rebérioux, 2019. "Scientific Competition between Countries: Did China Get What It Paid for?," Documents de travail du Centre d'Economie de la Sorbonne 19013, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    94. Koen Jonkers, 2009. "Emerging ties: Factors underlying China’s co-publication patterns with Western European and North American research systems in three molecular life science subfields," Scientometrics, Springer;Akadémiai Kiadó, vol. 80(3), pages 775-795, September.
    95. Amelia U. Santos-Paulino & Mariagrazia Squicciarini & Peilei Fan, 2008. "R&D (Re)location: A Bird's Eye (Re)view," WIDER Working Paper Series RP2008-100, World Institute for Development Economic Research (UNU-WIDER).
    96. S. Hennemann & T. Wang & I. Liefner, 2011. "Measuring regional science networks in China: a comparison of international and domestic bibliographic data sources," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(2), pages 535-554, August.
    97. Peder Olesen Larsen, 2008. "The state of the art in publication counting," Scientometrics, Springer;Akadémiai Kiadó, vol. 77(2), pages 235-251, November.
    98. Wolfgang Glänzel & Lin Zhang, 2018. "Scientometric research assessment in the developing world: A tribute to Michael J. Moravcsik from the perspective of the twenty-first century," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(3), pages 1517-1532, June.
    99. Eric Zimmerman & Wolfgang Glänzel & Judit Bar-Ilan, 2009. "Scholarly collaboration between Europe and Israel: A scientometric examination of a changing landscape," Scientometrics, Springer;Akadémiai Kiadó, vol. 78(3), pages 427-446, March.
    100. Guangyuan Hu & Stephen Carley & Li Tang, 2012. "Visualizing nanotechnology research in Canada: evidence from publication activities, 1990–2009," The Journal of Technology Transfer, Springer, vol. 37(4), pages 550-562, August.
    101. Li Tang & Philip Shapira, 2011. "China–US scientific collaboration in nanotechnology: patterns and dynamics," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(1), pages 1-16, July.
    102. Xiaojun Hu & Ronald Rousseau, 2009. "A comparative study of the difference in research performance in biomedical fields among selected Western and Asian countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(2), pages 475-491, November.
    103. Yawen Zou & Manfred D. Laubichler, 2017. "Measuring the contributions of Chinese scholars to the research field of systems biology from 2005 to 2013," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(3), pages 1615-1631, March.
    104. Long Gen Ying, 2008. "The Shape of Ideas Production Function in Transition and Developing Economies: Evidence from China," International Regional Science Review, , vol. 31(2), pages 185-206, April.
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    107. Ping Zhou & Yongfeng Zhong & Meigen Yu, 2013. "A bibliometric investigation on China–UK collaboration in food and agriculture," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(2), pages 267-285, November.
    108. Nobuyuki Shirakawa & Takao Furukawa & Minoru Nomura & Kumi Okuwada, 2012. "Global competition and technological transition in electrical, electronic, information and communication engineering: quantitative analysis of periodicals and conference proceedings of the IEEE," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(3), pages 895-910, June.
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    111. Oleg Georgievich Golichenko & Alina Alekseevna Malkova, 2017. "The Analysis of Processes of New Knowledge Production in Key World Regions and Russia," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 8(4), pages 1133-1145, December.
    112. Lauretta Rubini & Chiara Pollio & Marco R. Di Tommaso, 2017. "Transnational Research Networks in Chinese Scientific Production. An Investigation on Health-Industry Related Sectors," IJERPH, MDPI, vol. 14(9), pages 1-19, August.
    113. Qingnan Xie & Richard B. Freeman, 2019. "Bigger Than You Thought: China's Contribution to Scientific Publications and Its Impact on the Global Economy," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 27(1), pages 1-27, January.
    114. Charles J. Gomez & Andrew C. Herman & Paolo Parigi, 2022. "Leading countries in global science increasingly receive more citations than other countries doing similar research," Nature Human Behaviour, Nature, vol. 6(7), pages 919-929, July.
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    116. Justin Paul, 2016. "The Rise of China: What, When, Where, and Why?," The International Trade Journal, Taylor & Francis Journals, vol. 30(3), pages 207-222, May.
    117. Yang Liu & Jinyuan Ma & Huanyu Song & Ziniu Qian & Xiao Lin, 2021. "Chinese Universities’ Cross-Border Research Collaboration in the Social Sciences and Its Impact," Sustainability, MDPI, vol. 13(18), pages 1-19, September.
    118. Furong Jin & Keun Lee & Yee‐Kyoung Kim, 2008. "Changing Engines of Growth in China: From Exports, FDI and Marketization to Innovation and Exports," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 16(2), pages 31-49, March.
    119. Ping Zhou & Xiaozan Lv, 2015. "Academic publishing and collaboration between China and Germany in physics," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1875-1887, December.
    120. Chan-Yuan Wong & Xiao-Shan Yap, 2012. "Mapping technological innovations through patent analysis: a case study of foreign multinationals and indigenous firms in China," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(3), pages 773-787, June.
    121. Jiang Li & Yueting Li, 2015. "Patterns and evolution of coauthorship in China’s humanities and social sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(3), pages 1997-2010, March.
    122. Huang, Kenneth Guang-Lih & Huang, Can & Shen, Huijun & Mao, Hao, 2021. "Assessing the value of China's patented inventions," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    123. Zhenyue Zhao & Xuelian Pan & Weina Hua, 2021. "Comparative analysis of the research productivity, publication quality, and collaboration patterns of top ranked library and information science schools in China and the United States," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 931-950, February.
    124. Rachel Griffith & Helen Miller, 2011. "Innovation in China: the rise of Chinese inventors in the production of knowledge," IFS Working Papers W11/15, Institute for Fiscal Studies.
    125. Jiang, Hanchen & Qiang, Maoshan & Fan, Qixiang & Zhang, Mengqing, 2018. "Scientific research driven by large-scale infrastructure projects: A case study of the Three Gorges Project in China," Technological Forecasting and Social Change, Elsevier, vol. 134(C), pages 61-71.
    126. David Emanuel Andersson & Saileshsingh Gunessee & Christian Wichmann Matthiessen & Søren Find, 2014. "The Geography of Chinese Science," Environment and Planning A, , vol. 46(12), pages 2950-2971, December.
    127. Leydesdorff, Loet & Wagner, Caroline S. & Bornmann, Lutz, 2014. "The European Union, China, and the United States in the top-1% and top-10% layers of most-frequently cited publications: Competition and collaborations," Journal of Informetrics, Elsevier, vol. 8(3), pages 606-617.
    128. Gloria Aparicio & Txomin Iturralde & Ana Vilma Rodríguez, 2023. "Developments in the knowledge-based economy research field: a bibliometric literature review," Management Review Quarterly, Springer, vol. 73(1), pages 317-352, February.
    129. Tianlong Zheng & Juan Wang & Qunhui Wang & Chunhong Nie & Zhining Shi & Xiaona Wang & Zhen Gao, 2016. "A bibliometric analysis of micro/nano-bubble related research: current trends, present application, and future prospects," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(1), pages 53-71, October.
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    131. Jiancheng Guan & He Wei, 2015. "A bilateral comparison of research performance at an institutional level," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(1), pages 147-173, July.
    132. Hrvoje Matakovic & Mirjana Pejic Bach & Iva Radocaj Novak, 2013. "Scientific Productivity in Transition Countries: Trends and Obstacles," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 11(2), pages 174-189.
    133. Juana Paul Moiwo & Fulu Tao, 2013. "The changing dynamics in citation index publication position China in a race with the USA for global leadership," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(3), pages 1031-1050, June.
    134. Youliang Huang & Qian Huang & Sajid Ali & Xing Zhai & Xiaoming Bi & Renquan Liu, 2016. "Rehabilitation using virtual reality technology: a bibliometric analysis, 1996–2015," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 1547-1559, December.
    135. Dag W. Aksnes & Thed N. Leeuwen & Gunnar Sivertsen, 2014. "The effect of booming countries on changes in the relative specialization index (RSI) on country level," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1391-1401, November.
    136. Yaoyu Wei & Weiwei Fan, 2018. "A study of book reviews in SCI-Expanded, SSCI, and A&HCI journals by researchers from five countries: 2006–2015," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(2), pages 637-654, May.
    137. Y. H. Dennis Wei, 2015. "Network Linkages and Local Embeddedness of Foreign Ventures in China: The Case of Suzhou Municipality," Regional Studies, Taylor & Francis Journals, vol. 49(2), pages 287-299, February.
    138. Tang, Mingfeng & Hussler, Caroline, 2011. "Betting on indigenous innovation or relying on FDI: The Chinese strategy for catching-up," Technology in Society, Elsevier, vol. 33(1), pages 23-35.
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    140. Hui-Zhen Fu & Kun-Yang Chuang & Ming-Huang Wang & Yuh-Shan Ho, 2011. "Characteristics of research in China assessed with Essential Science Indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(3), pages 841-862, September.
    141. Yoshiyuki Takeda & Shiho Mae & Yuya Kajikawa & Katsumori Matsushima, 2009. "Nanobiotechnology as an emerging research domain from nanotechnology: A bibliometric approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 80(1), pages 23-38, July.
    142. Weishu Liu, 2016. "Comments on “a comparative analysis of scientific publications in management journals by authors from Mainland China, Hong Kong, Taiwan, and Macau: 2003–2012”," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(3), pages 1269-1272, March.
    143. Qingjun Zhao & Jiancheng Guan, 2011. "International collaboration of three ‘giants’ with the G7 countries in emerging nanobiopharmaceuticals," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(1), pages 159-170, April.
    144. Jingyi Zhao & Chunli Wei & Jiang Li, 2023. "Is the research performance of Chinese returnees better than that of their local counterparts?," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(5), pages 3091-3105, May.
    145. Loet Leydesdorff & Caroline Wagner, 2009. "Is the United States losing ground in science? A global perspective on the world science system," Scientometrics, Springer;Akadémiai Kiadó, vol. 78(1), pages 23-36, January.
    146. Ronald N. Kostoff & Raymond G. Koytcheff & Clifford G. Y. Lau, 2007. "Global nanotechnology research metrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 70(3), pages 565-601, March.
    147. Zhigang Hu & Fangqi Guo & Haiyan Hou, 2017. "Mapping research spotlights for different regions in China," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 779-790, February.
    148. Jan Youtie & Stephen Carley & Alan L. Porter & Philip Shapira, 2017. "Tracking researchers and their outputs: new insights from ORCIDs," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(1), pages 437-453, October.
    149. Aparna Basu, 2010. "Does a country’s scientific ‘productivity’ depend critically on the number of country journals indexed?," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(3), pages 507-516, March.
    150. Bar-Ilan, Judit, 2008. "Informetrics at the beginning of the 21st century—A review," Journal of Informetrics, Elsevier, vol. 2(1), pages 1-52.

  182. Loet Leydesdorff, 2006. "Can scientific journals be classified in terms of aggregated journal‐journal citation relations using the Journal Citation Reports?," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(5), pages 601-613, March.

    Cited by:

    1. Dorta-González, Pablo & Dorta-González, María Isabel & Santos-Peñate, Dolores Rosa & Suárez-Vega, Rafael, 2014. "Journal topic citation potential and between-field comparisons: The topic normalized impact factor," Journal of Informetrics, Elsevier, vol. 8(2), pages 406-418.
    2. Henrique Nascimento & Clara Martinez-Perez & Cristina Alvarez-Peregrina & Miguel Ángel Sánchez-Tena, 2020. "Citations Network Analysis of Vision and Sport," IJERPH, MDPI, vol. 17(20), pages 1-22, October.
    3. Li, Yunrong & Ruiz-Castillo, Javier, 2013. "The comparison of normalization procedures based on different classification systems," Journal of Informetrics, Elsevier, vol. 7(4), pages 945-958.
    4. Ruimin Ma & Erjia Yan, 2016. "Uncovering inter-specialty knowledge communication using author citation networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 839-854, November.
    5. Lin Zhang & Wolfgang Glänzel & Liming Liang, 2009. "Tracing the role of individual journals in a cross-citation network based on different indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(3), pages 821-838, December.
    6. Hric, Darko & Kaski, Kimmo & Kivelä, Mikko, 2018. "Stochastic block model reveals maps of citation patterns and their evolution in time," Journal of Informetrics, Elsevier, vol. 12(3), pages 757-783.
    7. Sjögårde, Peter & Ahlgren, Per, 2018. "Granularity of algorithmically constructed publication-level classifications of research publications: Identification of topics," Journal of Informetrics, Elsevier, vol. 12(1), pages 133-152.
    8. Mu-hsuan Huang & Wang-Ching Shaw & Chi-Shiou Lin, 2019. "One category, two communities: subfield differences in “Information Science and Library Science” in Journal Citation Reports," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 1059-1079, May.
    9. Zhang, Lin & Liu, Xinhai & Janssens, Frizo & Liang, Liming & Glänzel, Wolfgang, 2010. "Subject clustering analysis based on ISI category classification," Journal of Informetrics, Elsevier, vol. 4(2), pages 185-193.
    10. Wolfgang Glänzel & Bart Thijs, 2012. "Using ‘core documents’ for detecting and labelling new emerging topics," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(2), pages 399-416, May.
    11. Zhou, Ping & Leydesdorff, Loet, 2011. "Fractional counting of citations in research evaluation: A cross- and interdisciplinary assessment of the Tsinghua University in Beijing," Journal of Informetrics, Elsevier, vol. 5(3), pages 360-368.
    12. Ping Zhou & Loet Leydesdorff, 2007. "The citation impacts and citation environments of Chinese journals in mathematics," Scientometrics, Springer;Akadémiai Kiadó, vol. 72(2), pages 185-200, August.
    13. Aparna Basu & Roland Wagner Dobler, 2012. "‘Cognitive mobility’ or migration of authors between fields used in mapping a network of mathematics," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(2), pages 353-368, May.
    14. Lutz Bornmann & Alexander Tekles & Loet Leydesdorff, 2019. "How well does I3 perform for impact measurement compared to other bibliometric indicators? The convergent validity of several (field-normalized) indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 1187-1205, May.
    15. Perianes-Rodriguez, Antonio & Ruiz-Castillo, Javier, 2017. "A comparison of the Web of Science and publication-level classification systems of science," Journal of Informetrics, Elsevier, vol. 11(1), pages 32-45.
    16. Lin Zhang & Frizo Janssens & Liming Liang & Wolfgang Glänzel, 2010. "Journal cross-citation analysis for validation and improvement of journal-based subject classification in bibliometric research," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(3), pages 687-706, March.
    17. Yuen-Hsien Tseng & Ming-Yueh Tsay, 2013. "Journal clustering of library and information science for subfield delineation using the bibliometric analysis toolkit: CATAR," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(2), pages 503-528, May.
    18. Рубинштейн Александр Яковлевич, "undated". "Ранжирование Российских Экономических Журналов: Научный Метод Или «Игра В Цыфирь»? [Ran Ranking of Russian Economic Journals: The Scientific Method or “Numbers Game”?]," Working papers a:pru175:ye:2016:1, Institute of Economics.
    19. Xie, Yundong & Wu, Qiang & Zhang, Peng & Li, Xingchen, 2020. "Information Science and Library Science (IS-LS) journal subject categorisation and comparison based on editorship information," Journal of Informetrics, Elsevier, vol. 14(4).
    20. Andrew Kirby, 2023. "Exploratory Bibliometrics: Using VOSviewer as a Preliminary Research Tool," Publications, MDPI, vol. 11(1), pages 1-14, February.
    21. Rosa Rodriguez-Sánchez & J. A. García & J. Fdez-Valdivia, 2014. "Evolutionary games between subject categories," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 869-888, October.
    22. Jon Garner & Alan L. Porter & Nils C. Newman, 2014. "Distance and velocity measures: using citations to determine breadth and speed of research impact," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(3), pages 687-703, September.
    23. Rey-Martí, Andrea & Ribeiro-Soriano, Domingo & Palacios-Marqués, Daniel, 2016. "A bibliometric analysis of social entrepreneurship," Journal of Business Research, Elsevier, vol. 69(5), pages 1651-1655.
    24. Caroline S. Wagner & Lin Zhang & Loet Leydesdorff, 2022. "A discussion of measuring the top-1% most-highly cited publications: quality and impact of Chinese papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(4), pages 1825-1839, April.
    25. Leydesdorff, Loet & Bornmann, Lutz & Zhou, Ping, 2016. "Construction of a pragmatic base line for journal classifications and maps based on aggregated journal-journal citation relations," Journal of Informetrics, Elsevier, vol. 10(4), pages 902-918.
    26. Loet Leydesdorff & Lutz Bornmann & Caroline S. Wagner, 2017. "Generating clustered journal maps: an automated system for hierarchical classification," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(3), pages 1601-1614, March.
    27. Guang Yu & Yi-Jun Li, 2010. "Identification of referencing and citation processes of scientific journals based on the citation distribution model," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(2), pages 249-261, February.
    28. Dorta-González, P. & Dorta-González, M.I., 2013. "Impact maturity times and citation time windows: The 2-year maximum journal impact factor," Journal of Informetrics, Elsevier, vol. 7(3), pages 593-602.
    29. Loet Leydesdorff, 2007. "Environment and Planning B: Planning and Design as a Journal: The Interdisciplinarity of its Environment and the Citation Impact," Environment and Planning B, , vol. 34(5), pages 826-838, October.
    30. Loet Leydesdorff & Ping Zhou, 2007. "Nanotechnology as a field of science: Its delineation in terms of journals and patents," Scientometrics, Springer;Akadémiai Kiadó, vol. 70(3), pages 693-713, March.
    31. Pablo Dorta-González & María Isabel Dorta-González & Rafael Suárez-Vega, 2015. "An approach to the author citation potential: measures of scientific performance which are invariant across scientific fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1467-1496, February.
    32. Han Woo Park & Loet Leydesdorff, 2009. "Knowledge linkage structures in communication studies using citation analysis among communication journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(1), pages 157-175, October.
    33. Clara Martinez-Perez & Cristina Alvarez-Peregrina & Cesar Villa-Collar & Miguel Ángel Sánchez-Tena, 2020. "Citation Network Analysis of the Novel Coronavirus Disease 2019 (COVID-19)," IJERPH, MDPI, vol. 17(20), pages 1-27, October.
    34. Ismael Rafols & Alan Porter & Loet Leydesdorff, 2009. "Overlay Maps of Science: a New Tool for Research Policy," SPRU Working Paper Series 179, SPRU - Science Policy Research Unit, University of Sussex Business School.
    35. Jing Zhang & Xiaomin Liu & Lili Wu, 2016. "The study of subject-classification based on journal coupling and expert subject-classification system," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(3), pages 1149-1170, June.
    36. Loet Leydesdorff & Caroline S. Wagner & Lutz Bornmann, 2018. "Betweenness and diversity in journal citation networks as measures of interdisciplinarity—A tribute to Eugene Garfield," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(2), pages 567-592, February.
    37. Loet Leydesdorff, 2012. "Alternatives to the journal impact factor: I3 and the top-10% (or top-25%?) of the most-highly cited papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(2), pages 355-365, August.
    38. Chien Hsiang Liao & Mu-Yen Chen, 2018. "Exploring knowledge patterns of library and information science journals within the field: a citation analysis from 2009 to 2016," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(3), pages 1991-2008, December.
    39. Aleskerov, F. & Badgaeva, D. & Pislyakov, V. & Sterligov, I. & Shvydun, S., 2016. "An Importance of Russian and International Economic Journals: a Network Approach," Journal of the New Economic Association, New Economic Association, vol. 30(2), pages 193-205.
    40. Loet Leydesdorff, 2013. "An evaluation of impacts in “Nanoscience & nanotechnology”: steps towards standards for citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(1), pages 35-55, January.
    41. Leydesdorff, Loet & Rafols, Ismael, 2012. "Interactive overlays: A new method for generating global journal maps from Web-of-Science data," Journal of Informetrics, Elsevier, vol. 6(2), pages 318-332.
    42. P. Dorta-González & M. I. Dorta-González, 2013. "Comparing journals from different fields of science and social science through a JCR subject categories normalized impact factor," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(2), pages 645-672, May.
    43. Yu-Wei Chang, 2019. "Are articles in library and information science (LIS) journals primarily contributed to by LIS authors?," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(1), pages 81-104, October.
    44. Clara Martinez-Perez & Cristina Alvarez-Peregrina & Cesar Villa-Collar & Miguel Ángel Sánchez-Tena, 2020. "Current State and Future Trends: A Citation Network Analysis of the Academic Performance Field," IJERPH, MDPI, vol. 17(15), pages 1-24, July.
    45. Ying Huang & Donghua Zhu & Qi Lv & Alan L. Porter & Douglas K. R. Robinson & Xuefeng Wang, 2017. "Early insights on the Emerging Sources Citation Index (ESCI): an overlay map-based bibliometric study," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 2041-2057, June.
    46. Alan L. Porter & Ismael Rafols, 2009. "Is science becoming more interdisciplinary? Measuring and mapping six research fields over time," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(3), pages 719-745, December.
    47. Xin Gu & Karen Blackmore, 2017. "Characterisation of academic journals in the digital age," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(3), pages 1333-1350, March.
    48. Loet Leydesdorff & Tobias Opthof, 2012. "A rejoinder on energy versus impact indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(2), pages 745-748, February.
    49. Finardi, Ugo, 2013. "Correlation between Journal Impact Factor and Citation Performance: An experimental study," Journal of Informetrics, Elsevier, vol. 7(2), pages 357-370.
    50. Bar-Ilan, Judit, 2008. "Informetrics at the beginning of the 21st century—A review," Journal of Informetrics, Elsevier, vol. 2(1), pages 1-52.
    51. Xiangfeng Meng & Xinhai Liu & YunHai Tong & Wolfgang Glänzel & Shaohua Tan, 2015. "Multi-view clustering with exemplars for scientific mapping," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1527-1552, December.
    52. Wolfram, Dietmar & Zhao, Yuehua, 2014. "A comparison of journal similarity across six disciplines using citing discipline analysis," Journal of Informetrics, Elsevier, vol. 8(4), pages 840-853.
    53. András Schubert, 2010. "A reference-based Hirschian similarity measure for journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(1), pages 133-147, July.

  183. Leydesdorff, Loet & Fritsch, Michael, 2006. "Measuring the knowledge base of regional innovation systems in Germany in terms of a Triple Helix dynamics," Research Policy, Elsevier, vol. 35(10), pages 1538-1553, December.
    See citations under working paper version above.
  184. Leydesdorff, Loet & Meyer, Martin, 2006. "Triple Helix indicators of knowledge-based innovation systems: Introduction to the special issue," Research Policy, Elsevier, vol. 35(10), pages 1441-1449, December.

    Cited by:

    1. Hessels, Laurens K. & van Lente, Harro, 2008. "Re-thinking new knowledge production: A literature review and a research agenda," Research Policy, Elsevier, vol. 37(4), pages 740-760, May.
    2. Jianyu Zhao & Guangdong Wu, 2017. "Evolution of the Chinese Industry-University-Research Collaborative Innovation System," Complexity, Hindawi, vol. 2017, pages 1-13, April.
    3. Hemmert, Martin & Okamuro, Hiroyuki & 岡室, 博之 & Bstieler, Ludwig & Ruth, Klaus, 2008. "An Inquiry into the Status and Nature of University-Industry Research Collaborations in Japan and Korea," Hitotsubashi Journal of Economics, Hitotsubashi University, vol. 49(2), pages 163-180, December.
    4. Michele O’Dwyer & Raffaele Filieri & Lisa O’Malley, 2023. "Establishing successful university–industry collaborations: barriers and enablers deconstructed," The Journal of Technology Transfer, Springer, vol. 48(3), pages 900-931, June.
    5. Antonelli,Cristiano & Gehringer, Agnieszka, 2013. "Demand pull and technological flows within innovation systems: the intra-European evidence," Department of Economics and Statistics Cognetti de Martiis LEI & BRICK - Laboratory of Economics of Innovation "Franco Momigliano", Bureau of Research in Innovation, Complexity and Knowledge, Collegio 201301, University of Turin.
    6. Huanyong Ji & Guannan Xu & Yuan Zhou & Zhongzhen Miao, 2019. "The Impact of Corporate Social Responsibility on Firms’ Innovation in China: The Role of Institutional Support," Sustainability, MDPI, vol. 11(22), pages 1-20, November.
    7. Allard, Gayle & Martinez, Candace A. & Williams, Christopher, 2012. "Political instability, pro-business market reforms and their impacts on national systems of innovation," Research Policy, Elsevier, vol. 41(3), pages 638-651.
    8. Chen, Shih-Hsin & Lin, Wei-Ting, 2018. "Analyzing determinants for promoting emerging technology through intermediaries by using a DANP-based MCDA framework," Technological Forecasting and Social Change, Elsevier, vol. 131(C), pages 94-110.
    9. Strand, Øivind & Leydesdorff, Loet, 2013. "Where is synergy indicated in the Norwegian innovation system? Triple-Helix relations among technology, organization, and geography," Technological Forecasting and Social Change, Elsevier, vol. 80(3), pages 471-484.
    10. Dziallas, Marisa & Blind, Knut, 2019. "Innovation indicators throughout the innovation process: An extensive literature analysis," Technovation, Elsevier, vol. 80, pages 3-29.
    11. Zhang, Yi & Chen, Kaihua & Fu, Xiaolan, 2019. "Scientific effects of Triple Helix interactions among research institutes, industries and universities," Technovation, Elsevier, vol. 86, pages 33-47.
    12. Fabio Pollice & Stefano De Rubertis & Enrico Ciavolino & Antonella Ricciardelli, 2011. "The incidence of regional factors on "competitive performance” of universities," Working Papers 37, AlmaLaurea Inter-University Consortium.
    13. Wawan Dhewanto & Donald Crestofel Lantu & Sri Herliana & Anggraeni Permatasari, 2016. "The obstacles for science technology parks in a developing country," International Journal of Technological Learning, Innovation and Development, Inderscience Enterprises Ltd, vol. 8(1), pages 4-19.
    14. Wenjing Wang & Yiwei Liu, 2022. "Does University-industry innovation community affect firms’ inventions? The mediating role of technology transfer," The Journal of Technology Transfer, Springer, vol. 47(3), pages 906-935, June.
    15. Rodríguez-Navarro, Alonso & Brito, Ricardo, 2018. "Technological research in the EU is less efficient than the world average. EU research policy risks Europeans’ future," Journal of Informetrics, Elsevier, vol. 12(3), pages 718-731.
    16. Li, Yin & Arora, Sanjay & Youtie, Jan & Shapira, Philip, 2018. "Using web mining to explore Triple Helix influences on growth in small and mid-size firms," Technovation, Elsevier, vol. 76, pages 3-14.
    17. Jun Zhou & Jiabo Xu & Xingping Wang, 2018. "Spatial Agglomeration and Performance of Main Innovative Actors in a Metropolitan Area," International Regional Science Review, , vol. 41(6), pages 630-656, November.
    18. Reza Naghizadeh & Shaban Elahi & Manoochehr Manteghi & Sepehr Ghazinoory & Marina Ranga, 2015. "Through the magnifying glass: an analysis of regional innovation models based on co-word and meta-synthesis methods," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(6), pages 2481-2505, November.
    19. Yutao Sun & Seamus Grimes, 2016. "The emerging dynamic structure of national innovation studies: a bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(1), pages 17-40, January.
    20. Maddalena della Volpe, 2018. "Entrepreneurial University and Business Education: Towards a Network Model," International Journal of Business and Management, Canadian Center of Science and Education, vol. 13(3), pages 1-13, February.
    21. Alejandro Barragán-Ocaña & Gerardo Reyes-Ruiz & Samuel Olmos-Peña & Hortensia Gómez-Viquez, 2020. "Approach to the identification of an alternative technological innovation index," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 23-45, January.
    22. Thai Thi Minh & Carsten Nico Hjotrsø, 2015. "Relational dynamics in the multi-helices knowledge production system: A new institutionalism perspective," Globelics Working Paper Series 2015-08, Globelics - Global Network for Economics of Learning, Innovation, and Competence Building Systems, Aalborg University, Department of Business and Management.
    23. Loet Leydesdorff & Martin Meyer, 2007. "The scientometrics of a Triple Helix of university-industry-government relations (Introduction to the topical issue)," Scientometrics, Springer;Akadémiai Kiadó, vol. 70(2), pages 207-222, February.
    24. Junichi Nishimura & Hiroyuki Okamuro, 2016. "Knowledge and rent spillovers through government-sponsored R&D consortia," Science and Public Policy, Oxford University Press, vol. 43(2), pages 207-225.
    25. Xiaojun Hu & Xian Li & Ronald Rousseau, 2021. "Mathematical reflections on Triple Helix calculations," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(10), pages 8581-8587, October.
    26. Shahid Yusuf, 2014. "Middle East Transitions: A Long, Hard Road," IMF Working Papers 2014/135, International Monetary Fund.
    27. Elias G. Carayannis & Luca Dezi & Gianluca Gregori & Ernesto Calo, 2022. "Smart Environments and Techno-centric and Human-Centric Innovations for Industry and Society 5.0: A Quintuple Helix Innovation System View Towards Smart, Sustainable, and Inclusive Solutions," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(2), pages 926-955, June.
    28. An, Hyoung Joon & Ahn, Sang-Jin, 2016. "Emerging technologies—beyond the chasm: Assessing technological forecasting and its implication for innovation management in Korea," Technological Forecasting and Social Change, Elsevier, vol. 102(C), pages 132-142.
    29. Subhan Tahrima & Don Jaegal, 2013. "Applicability of Knowledge-Based Innovation System in Bangladesh," International Review of Public Administration, Taylor & Francis Journals, vol. 18(3), pages 185-208, December.
    30. Martin Meyer & Kevin Grant & Piera Morlacchi & Dagmara Weckowska, 2014. "Triple Helix indicators as an emergent area of enquiry: a bibliometric perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 151-174, April.
    31. Luís Farinha & João Ferreira & Borges Gouveia, 2016. "Networks of Innovation and Competitiveness: A Triple Helix Case Study," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 7(1), pages 259-275, March.
    32. Klenk, Nicole L. & Hickey, Gordon M., 2013. "How can formal research networks produce more socially robust forest science?," Forest Policy and Economics, Elsevier, vol. 37(C), pages 44-56.
    33. Theo Papaioannou, 2020. "Reflections on the entrepreneurial state, innovation and social justice," Review of Evolutionary Political Economy, Springer, vol. 1(2), pages 199-220, August.
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    43. Jiaofeng Pan & Jianxin Guo, 2022. "Innovative Collaboration and Acceleration: an Integrated Framework Based on Knowledge Transfer and Triple Helix," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(4), pages 3223-3247, December.
    44. Christina Scholten & Kicki Stridh & Mia Swärdh & Agneta Hansson, 2011. "Gender perspective on regional development and innovation in the food industry in Skane," ERSA conference papers ersa10p1013, European Regional Science Association.
    45. Hyun-do Choi & Dong-hyun Oh, 2020. "The importance of research teams with diverse backgrounds: Research collaboration in the Journal of Productivity Analysis," Journal of Productivity Analysis, Springer, vol. 53(1), pages 5-19, February.
    46. Mathieu Ouimet & Nabil Amara & Réjean Landry & John Lavis, 2007. "Direct interactions medical school faculty members have with professionals and managers working in public and private sector organizations: A cross-sectional study," Scientometrics, Springer;Akadémiai Kiadó, vol. 72(2), pages 307-323, August.
    47. Muhammad Athar Nadeem & Zhiying Liu & Haji Suleman Ali & Amna Younis & Muhammad Bilal & Yi Xu, 2020. "Innovation and Sustainable Development: Does Aid and Political Instability Impede Innovation?," SAGE Open, , vol. 10(4), pages 21582440209, November.
    48. Norrin Halilem & Nabil Amara & Réjean Landry, 2011. "Is the academic Ivory Tower becoming a managed structure? A nested analysis of the variance in activities of researchers from natural sciences and engineering in Canada," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(2), pages 431-448, February.
    49. Samuel Howard Quartey & Olamide Oguntoye, 2021. "Understanding and Promoting Industrial Sustainability in Africa Through the Triple Helix Approach: a Conceptual Model and Research Propositions," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 12(3), pages 1100-1118, September.
    50. Ivanova, Inga A. & Leydesdorff, Loet, 2014. "Rotational symmetry and the transformation of innovation systems in a Triple Helix of university–industry–government relations," Technological Forecasting and Social Change, Elsevier, vol. 86(C), pages 143-156.
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    52. Zouhaïer M’Chirgui & Wadid Lamine & Sarfraz Mian & Alain Fayolle, 2018. "University technology commercialization through new venture projects: an assessment of the French regional incubator program," The Journal of Technology Transfer, Springer, vol. 43(5), pages 1142-1160, October.
    53. Hideaki Sakawa & Naoki Watanabel, 2021. "Family Control and Corporate Innovation in Stakeholder-Oriented Corporate Governance," Sustainability, MDPI, vol. 13(9), pages 1-13, April.
    54. José Salvador da Motta Reis & Maximilian Espuny & Thaís Vieira Nunhes & Nilo Antonio de Souza Sampaio & Raine Isaksson & Fernando Celso de Campos & Otávio José de Oliveira, 2021. "Striding towards Sustainability: A Framework to Overcome Challenges and Explore Opportunities through Industry 4.0," Sustainability, MDPI, vol. 13(9), pages 1-28, May.
    55. Jaelani, Aan, 2019. "Triple Helix sebagai model bagi inovasi pendidikan tinggi: Analisis logika kelembagaan dalam pengembangan kewirausahaan dan ekonomi [The Triple Helix as a model for innovation of higher education: ," MPRA Paper 95752, University Library of Munich, Germany, revised 05 Jul 2019.
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    Cited by:

    1. Loet Leydesdorff, 2015. "Can intellectual processes in the sciences also be simulated? The anticipation and visualization of possible future states," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 2197-2214, December.
    2. Junwei Lv & Jing Geng & Xuanhong Xu & Yong Yu & Huajun Fang & Yifan Guo & Shulan Cheng, 2024. "Estimating Cadmium Concentration in Agricultural Soils with ZY1-02D Hyperspectral Data: A Comparative Analysis of Spectral Transformations and Machine Learning Models," Agriculture, MDPI, vol. 14(9), pages 1-17, September.
    3. Bárbara S. Lancho-Barrantes & Vicente P. Guerrero-Bote & Félix Moya-Anegón, 2010. "The iceberg hypothesis revisited," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(2), pages 443-461, November.
    4. Jesper W. Schneider & Birger Larsen & Peter Ingwersen, 2009. "A comparative study of first and all-author co-citation counting, and two different matrix generation approaches applied for author co-citation analyses," Scientometrics, Springer;Akadémiai Kiadó, vol. 80(1), pages 103-130, July.
    5. Zhaozhi Wang & Shoufu Lin & Yang Chen & Oleksii Lyulyov & Tetyana Pimonenko, 2024. "The Digital Economy and Real Economy: The Dynamic Interaction Effect and the Coupling Coordination Degree," Sustainability, MDPI, vol. 16(13), pages 1-20, July.
    6. Loet Leydesdorff, 2011. "“Structuration” by intellectual organization: the configuration of knowledge in relations among structural components in networks of science," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(2), pages 499-520, August.
    7. Wang, Ning & Xu, Yan & Wang, Sutong, 2022. "Interpretable boosting tree ensemble method for multisource building fire loss prediction," Reliability Engineering and System Safety, Elsevier, vol. 225(C).
    8. Vicente P. Guerrero-Bote & Felipe Zapico-Alonso & María Eugenia Espinosa-Calvo & Rocío Gómez-Crisóstomo & Félix Moya-Anegón, 2007. "Import-export of knowledge between scientific subject categories: The iceberg hypothesis," Scientometrics, Springer;Akadémiai Kiadó, vol. 71(3), pages 423-441, June.
    9. T. S. Evans & N. Hopkins & B. S. Kaube, 2012. "Universality of performance indicators based on citation and reference counts," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(2), pages 473-495, November.
    10. Thelwall, Mike & Wilson, Paul, 2014. "Regression for citation data: An evaluation of different methods," Journal of Informetrics, Elsevier, vol. 8(4), pages 963-971.
    11. Opthof, Tobias & Leydesdorff, Loet, 2010. "Caveats for the journal and field normalizations in the CWTS (“Leiden”) evaluations of research performance," Journal of Informetrics, Elsevier, vol. 4(3), pages 423-430.
    12. Hokey Min, 2022. "Examining the Impact of Energy Price Volatility on Commodity Prices from Energy Supply Chain Perspectives," Energies, MDPI, vol. 15(21), pages 1-16, October.
    13. Jonathan Adams & Karen Gurney & Stuart Marshall, 2007. "Profiling citation impact: A new methodology," Scientometrics, Springer;Akadémiai Kiadó, vol. 72(2), pages 325-344, August.
    14. A. J. M. Linmans, 2010. "Why with bibliometrics the Humanities does not need to be the weakest link," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(2), pages 337-354, May.

  186. Loet Leydesdorff & Liwen Vaughan, 2006. "Co‐occurrence matrices and their applications in information science: Extending ACA to the Web environment," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(12), pages 1616-1628, October.

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    1. Kamal Sanguri & Atanu Bhuyan & Sabyasachi Patra, 2020. "A semantic similarity adjusted document co-citation analysis: a case of tourism supply chain," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 233-269, October.
    2. Loet Leydesdorff & Dieter Franz Kogler & Bowen Yan, 2017. "Mapping patent classifications: portfolio and statistical analysis, and the comparison of strengths and weaknesses," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1573-1591, September.
    3. Kyunghun Min & Moonyoung Yoon & Katsunori Furuya, 2019. "A Comparison of a Smart City’s Trends in Urban Planning before and after 2016 through Keyword Network Analysis," Sustainability, MDPI, vol. 11(11), pages 1-25, June.
    4. Manuel Castriotta & Michela Loi & Elona Marku & Ludovica Moi, 2021. "Disentangling the corporate entrepreneurship construct: conceptualizing through co-words," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 2821-2863, April.
    5. Chaoqun Ni & Cassidy R. Sugimoto & Jiepu Jiang, 2013. "Venue-author-coupling: A measure for identifying disciplines through author communities," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(2), pages 265-279, February.
    6. Copiello, Sergio, 2019. "Peer and neighborhood effects: Citation analysis using a spatial autoregressive model and pseudo-spatial data," Journal of Informetrics, Elsevier, vol. 13(1), pages 238-254.
    7. Oluwakemi Rachael Adeleye & Maria Lourdes Ordoñez Olivo & Tibor Farkas, 2024. "A Bibliometric Analysis of Women’s Empowerment Studies Post Sustainable Development Goal Adoption Periods (2015–2022)," Sustainability, MDPI, vol. 16(4), pages 1-15, February.
    8. Wen-Lung Shiau & Yogesh K. Dwivedi, 2013. "Citation and co-citation analysis to identify core and emerging knowledge in electronic commerce research," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(3), pages 1317-1337, March.
    9. Maria Glinyanova & Ricarda B. Bouncken & Victor Tiberius & Antonio C. Cuenca Ballester, 2021. "Five decades of corporate entrepreneurship research: measuring and mapping the field," International Entrepreneurship and Management Journal, Springer, vol. 17(4), pages 1731-1757, December.
    10. Zhao, Star X. & Ye, Fred Y., 2012. "Exploring the directed h-degree in directed weighted networks," Journal of Informetrics, Elsevier, vol. 6(4), pages 619-630.
    11. Meen Chul Kim & Yoo Kyung Jeong & Min Song, 2014. "Investigating the integrated landscape of the intellectual topology of bioinformatics," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 309-335, October.
    12. Frank Neffke & Yang Li, 2023. "Evaluating the Principle of Relatedness: Estimation, Drivers and Implications for Policy," CID Working Papers 146a, Center for International Development at Harvard University.
    13. Jiaming Jiang & Yu Zhao, 2023. "Technology Trend Analysis of Japanese Green Vehicle Powertrains Technology Using Patent Citation Data," Energies, MDPI, vol. 16(5), pages 1-14, February.
    14. Ruimin Ma & Qiangbin Dai & Chaoqun Ni & Xuelu Li, 2009. "An author co-citation analysis of information science in China with Chinese Google Scholar search engine, 2004–2006," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(1), pages 33-46, October.
    15. S. Ravikumar & Ashutosh Agrahari & S. N. Singh, 2015. "Mapping the intellectual structure of scientometrics: a co-word analysis of the journal Scientometrics (2005–2010)," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 929-955, January.
    16. Jia Feng & Yun Qiu Zhang & Hao Zhang, 2017. "Improving the co-word analysis method based on semantic distance," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1521-1531, June.
    17. García-Lillo, Francisco & Seva-Larrosa, Pedro & Sánchez-García, Eduardo, 2024. "On the basis of research on ‘green’ in the disciplines of management and business," Journal of Business Research, Elsevier, vol. 172(C).
    18. Mohammad Reza Dawoudi, 2017. "DNA Modeling in Biomedical Image Matching," Current Trends in Biomedical Engineering & Biosciences, Juniper Publishers Inc., vol. 8(4), pages 96-99, August.
    19. Perianes-Rodríguez, Antonio & Chinchilla-Rodríguez, Zaida & Vargas-Quesada, Benjamín & Olmeda Gómez, Carlos & Moya-Anegón, Félix, 2009. "Synthetic hybrid indicators based on scientific collaboration to quantify and evaluate individual research results," Journal of Informetrics, Elsevier, vol. 3(2), pages 91-101.
    20. Fernandes, Cristina I. & Veiga, Pedro M. & Ferreira, João J. & Rammal, Hussain G. & Pereira, Vijay, 2022. "Assessing strategic leadership in organizations: Using bibliometric data to develop a holistic model," Journal of Business Research, Elsevier, vol. 141(C), pages 646-655.
    21. van Eck, N.J.P. & Waltman, L., 2009. "How to Normalize Co-Occurrence Data? An Analysis of Some Well-Known Similarity Measures," ERIM Report Series Research in Management ERS-2009-001-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    22. Lu, Kun & Wolfram, Dietmar, 2010. "Geographic characteristics of the growth of informetrics literature 1987–2008," Journal of Informetrics, Elsevier, vol. 4(4), pages 591-601.
    23. Jiaming Jiang & Rajeev K. Goel & Xingyuan Zhang, 2020. "IPR policies and determinants of membership in Standard Setting Organizations: a social network analysis," Netnomics, Springer, vol. 21(1), pages 129-154, December.
    24. Gohar Feroz Khan, 2013. "Social media-based systems: an emerging area of information systems research and practice," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(1), pages 159-180, April.
    25. Calvin Weng & Tugrul Daim, 2012. "Structural Differentiation and Its Implications—Core/Periphery Structure of the Technological Network," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 3(4), pages 327-342, December.
    26. García-Lillo, Francisco & Seva-Larrosa, Pedro & Sánchez-García, Eduardo, 2023. "What is going on in entrepreneurship research? A bibliometric and SNA analysis," Journal of Business Research, Elsevier, vol. 158(C).
    27. Rongying Zhao & Bikun Chen, 2014. "Applying author co-citation analysis to user interaction analysis: a case study on instant messaging groups," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 985-997, November.
    28. Jesper W. Schneider & Birger Larsen & Peter Ingwersen, 2009. "A comparative study of first and all-author co-citation counting, and two different matrix generation approaches applied for author co-citation analyses," Scientometrics, Springer;Akadémiai Kiadó, vol. 80(1), pages 103-130, July.
    29. van Eck, N.J.P. & Waltman, L., 2007. "Appropriate Similarity Measures for Author Cocitation Analysis," ERIM Report Series Research in Management ERS-2007-091-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    30. Ruobing Chi & Jonathan Young, 2013. "The interdisciplinary structure of research on intercultural relations: a co-citation network analysis study," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(1), pages 147-171, July.
    31. Manuel Castriotta & Maria Chiara Guardo, 2016. "Disentangling the automotive technology structure: a patent co-citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(2), pages 819-837, May.
    32. Koseoglu, Mehmet Ali & Rahimi, Roya & Okumus, Fevzi & Liu, Jingyan, 2016. "Bibliometric studies in tourism," Annals of Tourism Research, Elsevier, vol. 61(C), pages 180-198.
    33. Jiaming Jiang & Yu Zhao & Junshi Feng, 2022. "University–Industry Technology Transfer: Empirical Findings from Chinese Industrial Firms," Sustainability, MDPI, vol. 14(15), pages 1-18, August.
    34. Jimi Adams & Ryan Light, 2014. "Mapping Interdisciplinary Fields: Efficiencies, Gaps and Redundancies in HIV/AIDS Research," PLOS ONE, Public Library of Science, vol. 9(12), pages 1-13, December.
    35. Jun-Ping Qiu & Ke Dong & Hou-Qiang Yu, 2014. "Comparative study on structure and correlation among author co-occurrence networks in bibliometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1345-1360, November.
    36. Özgür Özmen Uysal, 2010. "Business Ethics Research with an Accounting Focus: A Bibliometric Analysis from 1988 to 2007," Journal of Business Ethics, Springer, vol. 93(1), pages 137-160, April.
    37. Georg Groh & Christoph Fuchs, 2011. "Multi-modal social networks for modeling scientific fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(2), pages 569-590, November.
    38. Leydesdorff, Loet & Welbers, Kasper, 2011. "The semantic mapping of words and co-words in contexts," Journal of Informetrics, Elsevier, vol. 5(3), pages 469-475.
    39. Liliana Arroyo Moliner & Eva Gallardo-Gallardo & Pedro Gallo de Puelles, 2017. "Understanding scientific communities: a social network approach to collaborations in Talent Management research," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(3), pages 1439-1462, December.
    40. Raphaël Maucuer & Alexandre Renaud, 2019. "Business Model Research: A Bibliometric Analysis of Origins and Trends," Post-Print hal-01918188, HAL.
    41. Hofmann, Peter & Keller, Robert & Urbach, Nils, 2019. "Inter-technology relationship networks: Arranging technologies through text mining," Technological Forecasting and Social Change, Elsevier, vol. 143(C), pages 202-213.
    42. Wei-Feng Tung & Ting-Yu Lee, 2013. "Rank-mediated collaborative tagging recommendation service using video-tag relationship prediction," Information Systems Frontiers, Springer, vol. 15(4), pages 627-635, September.
    43. Fernandes, Cristina & Ferreira, João J. & Veiga, Pedro Mota & Kraus, Sascha & Dabić, Marina, 2022. "Digital entrepreneurship platforms: Mapping the field and looking towards a holistic approach," Technology in Society, Elsevier, vol. 70(C).
    44. Hao Wang & Sanhong Deng & Xinning Su, 2016. "A study on construction and analysis of discipline knowledge structure of Chinese LIS based on CSSCI," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 1725-1759, December.
    45. Yi Bu & Tian-yi Liu & Win-bin Huang, 2016. "MACA: a modified author co-citation analysis method combined with general descriptive metadata of citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(1), pages 143-166, July.
    46. Jean A. Pratt & Karina Hauser & Cassidy R. Sugimoto, 2012. "Defining the intellectual structure of information systems and related college of business disciplines: a bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(2), pages 279-304, November.
    47. Jiaming Jiang & Rajeev K. Goel & Xingyuan Zhang, 2019. "Knowledge flows from business method software patents: influence of firms’ global social networks," The Journal of Technology Transfer, Springer, vol. 44(4), pages 1070-1096, August.
    48. Vaughan, Liwen & You, Justin, 2010. "Word co-occurrences on Webpages as a measure of the relatedness of organizations: A new Webometrics concept," Journal of Informetrics, Elsevier, vol. 4(4), pages 483-491.
    49. Marti Sagarra & Frank M. T. A. Busing & Cecilio Mar-Molinero & Josep Rialp, 2018. "Assessing the asymmetric effects on branch rivalry of Spanish financial sector restructuring," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 12(1), pages 131-153, March.
    50. Criscuolo, Paola & Salter, Ammon & Sheehan, Tony, 2007. "Making knowledge visible: Using expert yellow pages to map capabilities in professional services firms," Research Policy, Elsevier, vol. 36(10), pages 1603-1619, December.
    51. Carlos Sánchez‐Camacho & Rocío Carranza & David Martín‐Consuegra & Estrella Díaz, 2022. "Evolution, trends and future research lines in corporate social responsibility and tourism: A bibliometric analysis and science mapping," Sustainable Development, John Wiley & Sons, Ltd., vol. 30(3), pages 462-476, June.
    52. Zaida Chinchilla-Rodríguez & Anuska Ferligoj & Sandra Miguel & Luka Kronegger & Félix Moya-Anegón, 2012. "Blockmodeling of co-authorship networks in library and information science in Argentina: a case study," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(3), pages 699-717, December.
    53. Maria Di Guardo & Kathryn Harrigan, 2012. "Mapping research on strategic alliances and innovation: a co-citation analysis," The Journal of Technology Transfer, Springer, vol. 37(6), pages 789-811, December.
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    2. Ciapetti Lorenzo, 2009. "Universities as Embedded Knowledge Hubs and the Challenge of Local Development the Us Lessons and the Italian Case," European Spatial Research and Policy, Sciendo, vol. 16(2), pages 5-22, December.
    3. Todd Gabe & Jaison Abel & Adrienne Ross & Kevin Stolarick, 2012. "Knowledge in Cities," Urban Studies, Urban Studies Journal Limited, vol. 49(6), pages 1179-1200, May.
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    5. Zizi goschin, 2014. "R&D As An Engine Of Regional Economic Growth In Romania," Romanian Journal of Regional Science, Romanian Regional Science Association, vol. 8(1), pages 24-37, JUNE.
    6. Loet Leydesdorff & Igone Porto-Gomez, 2019. "Measuring the expected synergy in Spanish regional and national systems of innovation," The Journal of Technology Transfer, Springer, vol. 44(1), pages 189-209, February.
    7. Rosivalda Pereira & Mário Franco, 2023. "University-Firm Cooperation and Regional Development: Proposal of a Model of Analysis," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 14(2), pages 676-690, June.
    8. Morgenroth, Edgar & FitzGerald, John & FitzGerald, John, 2006. "Summary and Conclusions," Book Chapters, in: Morgenroth, Edgar (ed.),Ex-Ante Evaluation of the Investment Priorities for the National Development Plan 2007-2013, chapter 24, pages 317-333, Economic and Social Research Institute (ESRI).
      • Baker, Terence J. & FitzGerald, John & Honohan, Patrick & FitzGerald, John & Honohan, Patrick, 1996. "Summary and Conclusions," Book Chapters, in: Baker, Terence J. (ed.),Economic Implications for Ireland of EMU, chapter 12, pages 339-352, Economic and Social Research Institute (ESRI).
    9. Mattsson Henrik, 2009. "Geographies of unruly innovation," ZFW – Advances in Economic Geography, De Gruyter, vol. 53(1-2), pages 224-234, October.
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    11. Yigitcanlar, Tan & Sabatini-Marques, Jamile & da-Costa, Eduardo Moreira & Kamruzzaman, Md & Ioppolo, Giuseppe, 2019. "Stimulating technological innovation through incentives: Perceptions of Australian and Brazilian firms," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 403-412.
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    84. Vesa Harmaakorpi & Satu Rinkinen, 2020. "Regional development platforms as incubators of business ecosystems. Case study: The Lahti urban region, Finland," Growth and Change, Wiley Blackwell, vol. 51(2), pages 626-645, June.
    85. David Doloreux & Nabil Amara & Réjean Landry, 2008. "Mapping Regional and Sectoral Characteristics of Knowledge‐Intensive Business Services: Evidence from the Province of Quebec (Canada)," Growth and Change, Wiley Blackwell, vol. 39(3), pages 464-496, September.
    86. Marais Lochner & Van Rooyen Deidre & Lenka Molefi & Cloete Jan, 2014. "Planning for economic development in a secondary city? Trends, pitfalls and alternatives for Mangaung, South Africa," Bulletin of Geography. Socio-economic Series, Sciendo, vol. 26(26), pages 1-15, December.
    87. Viktorie Klímová & Vladimír Žítek, 2015. "Inovační paradox v Česku: ekonomická teorie a politická realita [Innovation Paradox in the Czech Republic: Economic Theory and Political Reality]," Politická ekonomie, Prague University of Economics and Business, vol. 2015(2), pages 147-166.
    88. Loet Leydesdorff & Wilfred Dolfsma & Gerben Van der Panne, 2010. "Measuring the Knowledge Base of an Economy in Terms of Triple-Helix Relations," Chapters, in: Riccardo Viale & Henry Etzkowitz (ed.), The Capitalization of Knowledge, chapter 11, Edward Elgar Publishing.
    89. Janc Krzysztof & Raczyk Andrzej & Dołzbłasz Sylwia, 2020. "Not Only in Cities: Creative Activities in Rural Areas with a Case Study of Lower Silesia," Quaestiones Geographicae, Sciendo, vol. 39(2), pages 97-112, June.
    90. Ronnié Figueiredo & João José Matos Ferreira, 2020. "Spinner Model: Prediction of Propensity to Innovate Based on Knowledge-Intensive Business Services," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 11(4), pages 1316-1335, December.
    91. Hedeler, Barbara & Lettner, Miriam & Stern, Tobias & Schwarzbauer, Peter & Hesser, Franziska, 2020. "Strategic decisions on knowledge development and diffusion at pilot and demonstration projects: An empirical mapping of actors, projects and strategies in the case of circular forest bioeconomy," Forest Policy and Economics, Elsevier, vol. 110(C).
    92. Yoon, Hyungseok & Yun, Sunyoung & Lee, Joosung & Phillips, Fred, 2015. "Entrepreneurship in East Asian Regional Innovation Systems: Role of social capital," Technological Forecasting and Social Change, Elsevier, vol. 100(C), pages 83-95.
    93. Kroll, Henning, 2009. "The regional development of science and innovation in China: a brief review of current evidence on matches and mismatches," Working Papers "Firms and Region" R1/2009, Fraunhofer Institute for Systems and Innovation Research (ISI).
    94. Pla-Barber, José & Puig, Francisco, 2009. "Is the influence of the industrial district on international activities being eroded by globalization?: Evidence from a traditional manufacturing industry," International Business Review, Elsevier, vol. 18(5), pages 435-445, October.
    95. O'Connell, Philip J. & Russell, Helen & FitzGerald, John, 2006. "Human Resources," Book Chapters, in: Morgenroth, Edgar (ed.),Ex-Ante Evaluation of the Investment Priorities for the National Development Plan 2007-2013, Economic and Social Research Institute (ESRI).
    96. Cao Zhan & Derudder Ben & Dai Liang & Peng Zhenwei, 2023. "An analysis of the evolution of Chinese cities in global scientific collaboration networks: Manuscript prepared for special issue on “China’s internationalization and changing role in the world”," ZFW – Advances in Economic Geography, De Gruyter, vol. 67(1), pages 5-19, May.
    97. Ian Miles & Jean Pierre Seclen, 2022. "Introduction," EKONOMIAZ. Revista vasca de Economía, Gobierno Vasco / Eusko Jaurlaritza / Basque Government, vol. 102(02), pages 20-25.
    98. Pablo J. Moya-Fernández & Jean Pierre Seclen-Luna, 2024. "Evaluating the Effects of Information Sources on Innovation Outcomes: Are There Differences between KIBS and Manufacturing Firms from a Latin America Country?," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(1), pages 4024-4055, March.
    99. Silva, Maria José & Leitão, João, 2007. "What Determines the Entrepreneurial Innovative Capability of Portuguese Industrial Firms?," MPRA Paper 5216, University Library of Munich, Germany.
    100. Ivana Blažková, 2016. "The Impact of the Public Support for R & D on the Economic Performance of SMEs," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 64(1), pages 213-222.
    101. Matthias Firgo & Peter Mayerhofer, 2016. "Wissensintensive Unternehmensdienste, Wissens-Spillovers und regionales Wachstum. Teilprojekt 3: Zur Standortstruktur von wissensintensiven Unternehmensdiensten – Fakten, Bestimmungsgründe, regionalpo," WIFO Studies, WIFO, number 59427.
    102. Christiane Gebhardt, 2013. "The making of plasma medicine. Strategy driven clusters and the emerging roles of cluster management and government supervision," The Journal of Technology Transfer, Springer, vol. 38(4), pages 401-414, August.
    103. Richard Shearmur & David Doloreux, 2015. "Central places or networks? Paradigms, metaphors, and spatial configurations of innovation-related service use," Environment and Planning A, , vol. 47(7), pages 1521-1539, July.
    104. Xie, Kefan & Song, Yu & Zhang, Weiyong & Hao, Jiahui & Liu, Zimei & Chen, Yun, 2018. "Technological entrepreneurship in science parks: A case study of Wuhan Donghu High-Tech Zone," Technological Forecasting and Social Change, Elsevier, vol. 135(C), pages 156-168.
    105. Tan Yigitcanlar & Jamile Sabatini-Marques & Cibele Lorenzi & Nathalia Bernardinetti & Tatiana Schreiner & Ana Fachinelli & Tatiana Wittmann, 2018. "Towards Smart Florianópolis: What Does It Take to Transform a Tourist Island into an Innovation Capital?," Energies, MDPI, vol. 11(12), pages 1-32, November.
    106. Kulke Elmar, 2008. "The technology park Berlin-Adlershof as an example of spatial proximity in regional economic policy," ZFW – Advances in Economic Geography, De Gruyter, vol. 52(1), pages 193-208, October.
    107. Morgenroth, Edgar & FitzGerald, John & FitzGerald, John, 2006. "Productive Sector," Book Chapters, in: Morgenroth, Edgar (ed.),Ex-Ante Evaluation of the Investment Priorities for the National Development Plan 2007-2013, chapter 20, pages 257-277, Economic and Social Research Institute (ESRI).
    108. G. Page West III & Charles E. Bamford & Jesse W. Marsden, 2008. "Contrasting Entrepreneurial Economic Developments in Less-Developed Latin American Markets: Applications and Extensions of Resource-Based Theory," Discussion Paper Series 2008-03, McColl School of Business, Queens University of Charlotte.
    109. Pasquale Del Vecchio & Gianluca Elia & Valentina Ndou & Giustina Secundo & Fabrizio Specchia, 2017. "Living Lab as an Approach to Activate Dynamic Innovation Ecosystems and Networks: An Empirical Study," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 14(05), pages 1-18, October.
    110. Yoguel, Gabriel & Brixner, Cristián & Lerena, Octavio & Minervini, Mariana, 2021. "The relationship between universities and business: identification of thematic communities," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), December.
    111. Alexandru-Emil POPA, 2013. "Premises Of Knowledge Based Economy In Romania," Proceedings of the INTERNATIONAL MANAGEMENT CONFERENCE, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 7(1), pages 565-573, November.
    112. Ernesto Tavoletti & Robbin Velde, 2008. "Cutting Porter’s Last Diamond: Competitive and Comparative (Dis)advantages in the Dutch Flower Cluster," Transition Studies Review, Springer;Central Eastern European University Network (CEEUN), vol. 15(2), pages 303-319, September.
    113. Krzysztof Janc & Sylwia Dołzbłasz & Andrzej Raczyk & Robert Skrzypczyński, 2023. "Winding Pathways to Rural Regeneration: Exploring Challenges and Success Factors for Three Types of Rural Changemakers in the Context of Knowledge Transfer and Networks," Sustainability, MDPI, vol. 15(8), pages 1-17, April.
    114. Günter Clar & Björn Sautter, 2014. "Research Driven Clusters at the Heart of (Trans-)Regional Learning and Priority-Setting Processes," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 5(1), pages 156-180, March.
    115. Piekarska, Katarzyna, 2013. "Adaptation Of The Diamond Model Of Competitive Advantage To The New Paradigm Of Regional Development," Economic and Regional Studies (Studia Ekonomiczne i Regionalne), John Paul II University of Applied Sciences in Biala Podlaska, vol. 6(2).
    116. Christian Felzensztein & Eli Gimmon & Claudio Aqueveque, 2013. "Entrepreneurship at the Periphery: Exploring Framework Conditions in Core and Peripheral Locations," Entrepreneurship Theory and Practice, , vol. 37(4), pages 815-835, July.
    117. Lehtonen Olli & Tykkyläinen Markku & Voutilainen Olli, 2012. "Root causes of rural decline in economic well-being in Finland," European Countryside, Sciendo, vol. 4(3), pages 217-239, January.
    118. Luciano PILOTTI & Maria VERNUCCIO & Andrea GANZAROLI, 2011. "Tassonomia, topologia e tipologia dei sistemi produttivi locali in Italia: un tentativo di sintesi," Departmental Working Papers 2011-22, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
    119. Raluca-Ioana Iorgulescu & Carmen Beatrice Păuna & Marioara Iordan & Tiberiu Diaconescu & Gabriela Bilevski & Thomas Brekke & Ole Henrik Gusland & Lasse Berntzen, 2017. "Norwegian and Romanian green cluster experiences for a digital era," Working Papers of Institute for Economic Forecasting 170701, Institute for Economic Forecasting.
    120. Nathaniel M. Lewis & Betsy Donald, 2010. "A New Rubric for ‘Creative City’ Potential in Canada’s Smaller Cities," Urban Studies, Urban Studies Journal Limited, vol. 47(1), pages 29-54, January.
    121. Halonen Maija & Kotilainen Juha & Tykkyläinen Markku & Vatanen Eero, 2015. "Industry life cycles of a resource town in Finland – the case of Lieksa," European Countryside, Sciendo, vol. 7(1), pages 16-41, March.
    122. Peter Svensson & Magnus Klofsten & Henry Etzkowitz, 2011. "The Norrkoping Way: A Knowledge-based Strategy for Renewing a Declining Industrial City (refereed paper)," ERSA conference papers ersa10p1513, European Regional Science Association.
    123. Alyson Nicholds & John Gibney & Chris Mabey & Dan Hart, 2017. "Making sense of variety in place leadership: the case of England’s smart cities," Regional Studies, Taylor & Francis Journals, vol. 51(2), pages 249-259, February.
    124. Tate, Robert & Finlayson, Greg & MacWilliam, Leonard & Wiley, Miriam M. & Morgenroth, Edgar & FitzGerald, John, 2006. "Health," Book Chapters, in: Morgenroth, Edgar (ed.),Ex-Ante Evaluation of the Investment Priorities for the National Development Plan 2007-2013, Economic and Social Research Institute (ESRI).
    125. Nikolay K. Vitanov & Zlatinka I. Dimitrova, 2024. "A Mathematical Theory of Motion of Researchers between Research Organizations," Mathematics, MDPI, vol. 12(13), pages 1-19, June.
    126. Pierre Poinsignon & Thomas Paris, 2020. "« A diachronic view of the role of collaborative spaces in the creative industries: The singular case of the French « atelier Nawak » »," Post-Print hal-03097441, HAL.
    127. Dieter Rehfeld, 2012. "Modes of Regional Embeddedness: Companies in Seven European Regions Compared," Chapters, in: Martin Heidenreich (ed.), Innovation and Institutional Embeddedness of Multinational Companies, chapter 10, Edward Elgar Publishing.
    128. Juchniewicz Małgorzata & Grzybowska Barbara, 2015. "New Concepts of Innovation in Economic Sciences – Implications in the Field of Food Economy," Scientific Annals of Economics and Business, Sciendo, vol. 62(2), pages 141-150, July.

  189. Loet Leydesdorff & Iina Hellsten, 2006. "Measuring the meaning of words in contexts: An automated analysis of controversies about 'Monarch butterflies,' 'Frankenfoods,' and 'stem cells'," Scientometrics, Springer;Akadémiai Kiadó, vol. 67(2), pages 231-258, May.

    Cited by:

    1. Tommaso Ciarli & Ismael Ràfols, 2018. "The Relation Between Research Priorities and Societal Demands: The Case of Rice," SPRU Working Paper Series 2018-12, SPRU - Science Policy Research Unit, University of Sussex Business School.
    2. Oscar Stuhler, 2022. "Who Does What to Whom? Making Text Parsers Work for Sociological Inquiry," Sociological Methods & Research, , vol. 51(4), pages 1580-1633, November.
    3. Bart Thijs, 2020. "Using neural-network based paragraph embeddings for the calculation of within and between document similarities," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 835-849, November.
    4. Jian Zhang & Michael S. Vogeley & Chaomei Chen, 2011. "Scientometrics of big science: a case study of research in the Sloan Digital Sky Survey," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(1), pages 1-14, January.
    5. Peter W. Liesch & Lars Håkanson & Sara L. McGaughey & Stuart Middleton & Julia Cretchley, 2011. "The evolution of the international business field: a scientometric investigation of articles published in its premier journal," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(1), pages 17-42, July.
    6. Fengjun Sun & Lijun Zhu, 2012. "Citation genetic genealogy: a novel insight for citation analysis in scientific literature," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(2), pages 577-589, May.
    7. Sasson, Elan & Ravid, Gilad & Pliskin, Nava, 2015. "Improving similarity measures of relatedness proximity: Toward augmented concept maps," Journal of Informetrics, Elsevier, vol. 9(3), pages 618-628.
    8. Matias Federico Milia & Ariadna Nebot Giralt & Rigas Arvanitis, 2022. "Local emergence, global expansion: understanding the structural evolution of a bi-lingual national research landscape," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7369-7395, December.
    9. Yi Bu & Mengyang Li & Weiye Gu & Win‐bin Huang, 2021. "Topic diversity: A discipline scheme‐free diversity measurement for journals," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(5), pages 523-539, May.

  190. Loet Leydesdorff & Ping Zhou, 2005. "Are the contributions of China and Korea upsetting the world system of science?," Scientometrics, Springer;Akadémiai Kiadó, vol. 63(3), pages 617-630, June.

    Cited by:

    1. Wolfgang Glänzel & Koenraad Debackere & Martin Meyer, 2008. "‘Triad’ or ‘tetrad’? On global changes in a dynamic world," Scientometrics, Springer;Akadémiai Kiadó, vol. 74(1), pages 71-88, January.
    2. Chan-Yuan Wong, 2013. "On a path to creative destruction: science, technology and science-based technological trajectories of Japan and South Korea," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(1), pages 323-336, July.
    3. Gangan Prathap, 2017. "Scientific wealth and inequality within nations," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(2), pages 923-928, November.
    4. Md. Dulal Hossain & Junghoon Moon & Hyoung Goo Kang & Sung Chul Lee & Young Chan Choe, 2012. "Mapping the dynamics of knowledge base of innovations of R&D in Bangladesh: triple helix perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 57-83, January.
    5. Tuan V. Nguyen & Ly T. Pham, 2011. "Scientific output and its relationship to knowledge economy: an analysis of ASEAN countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(1), pages 107-117, October.
    6. Ping Zhou & Wolfgang Glänzel, 2010. "In-depth analysis on China’s international cooperation in science," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(3), pages 597-612, March.
    7. Yves Gingras & Mahdi Khelfaoui, 2018. "Assessing the effect of the United States’ “citation advantage” on other countries’ scientific impact as measured in the Web of Science (WoS) database," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(2), pages 517-532, February.
    8. Fei Shu & Wen Lou & Stefanie Haustein, 2018. "Can Twitter increase the visibility of Chinese publications?," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 505-519, July.
    9. Jo Royle & Louisa Coles & Dorothy Williams & Paul Evans, 2007. "Publishing in international journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 71(1), pages 59-86, April.
    10. Antonio Fernández-Cano & Manuel Torralbo & Mónica Vallejo, 2012. "Time series of scientific growth in Spanish doctoral theses (1848–2009)," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(1), pages 15-36, April.
    11. Leydesdorff, Loet & Wagner, Caroline, 2009. "Macro-level indicators of the relations between research funding and research output," Journal of Informetrics, Elsevier, vol. 3(4), pages 353-362.
    12. Park, Han Woo & Leydesdorff, Loet, 2010. "Longitudinal trends in networks of university-industry-government relations in South Korea: The role of programmatic incentives," Research Policy, Elsevier, vol. 39(5), pages 640-649, June.
    13. Robert D. Shelton & Patricia Foland & Roman Gorelskyy, 2009. "Do new SCI journals have a different national bias?," Scientometrics, Springer;Akadémiai Kiadó, vol. 79(2), pages 351-363, May.
    14. Zhou, Ping & Leydesdorff, Loet, 2006. "The emergence of China as a leading nation in science," Research Policy, Elsevier, vol. 35(1), pages 83-104, February.
    15. B.M. Gupta & Namita Gupta & R.P. Gupta, 2009. "Status of China in Science and Technology as Reflected in its Publications Output, 1997–2007," China Report, , vol. 45(4), pages 301-341, November.
    16. Wong, Chan-Yuan & Goh, Kim-Leng, 2012. "The sustainability of functionality development of science and technology: Papers and patents of emerging economies," Journal of Informetrics, Elsevier, vol. 6(1), pages 55-65.
    17. Chi Mai Nguyen & Jae-Yong Choung, 2020. "Scientific knowledge production in China: a comparative analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1279-1303, August.
    18. Qingjun Zhao & Jiancheng Guan, 2012. "Modeling the dynamic relation between science and technology in nanotechnology," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(2), pages 561-579, February.
    19. Maxim Kotsemir, 2019. "Unmanned aerial vehicles research in Scopus: an analysis and visualization of publication activity and research collaboration at the country level," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(4), pages 2143-2173, July.
    20. Chung-Souk Han, 2011. "On the demographical changes of U.S. research doctorate awardees and corresponding trends in research fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(3), pages 845-865, December.
    21. Luciano Levin & Pablo Jensen & Pablo Kreimer, 2016. "Does Size Matter? The Multipolar International Landscape of Nanoscience," PLOS ONE, Public Library of Science, vol. 11(12), pages 1-12, December.
    22. Han Woo Park & Loet Leydesdorff, 2008. "Korean journals in the Science Citation Index: What do they reveal about the intellectual structure of S&T in Korea?," Scientometrics, Springer;Akadémiai Kiadó, vol. 75(3), pages 439-462, June.
    23. Loet Leydesdorff, 2008. "The delineation of nanoscience and nanotechnology in terms of journals and patents: A most recent update," Scientometrics, Springer;Akadémiai Kiadó, vol. 76(1), pages 159-167, July.
    24. Chan-Yuan Wong, 2019. "A century of scientific publication: towards a theorization of growth behavior and research-orientation," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(1), pages 357-377, April.
    25. Wong, Chan-Yuan & Goh, Kim-Leng, 2010. "Growth behavior of publications and patents: A comparative study on selected Asian economies," Journal of Informetrics, Elsevier, vol. 4(4), pages 460-474.
    26. Chan-Yuan Wong & Kim-Leng Goh, 2010. "Modeling the behaviour of science and technology: self-propagating growth in the diffusion process," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(3), pages 669-686, September.
    27. Hugo Horta, 2018. "The declining scientific wealth of Hong Kong and Singapore," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(1), pages 427-447, October.
    28. Cinzia Daraio & Francesco Fabbri & Giulia Gavazzi & Maria Grazia Izzo & Luca Leuzzi & Giammarco Quaglia & Giancarlo Ruocco, 2018. "Assessing the interdependencies between scientific disciplinary profiles," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(3), pages 1785-1803, September.
    29. Huang, Mu-Hsuan & Chang, Han-Wen & Chen, Dar-Zen, 2012. "The trend of concentration in scientific research and technological innovation: A reduction of the predominant role of the U.S. in world research & technology," Journal of Informetrics, Elsevier, vol. 6(4), pages 457-468.
    30. Guan, Jiancheng & Ma, Nan, 2007. "China's emerging presence in nanoscience and nanotechnology: A comparative bibliometric study of several nanoscience `giants'," Research Policy, Elsevier, vol. 36(6), pages 880-886, July.
    31. Jonathan Adams & Jo Johnson & Jonathan Grant, 2022. "The rise of UK–China research collaboration: Trends, opportunities and challenges [The West Should Start Sending Its Scientists to China]," Science and Public Policy, Oxford University Press, vol. 49(1), pages 132-147.
    32. Mladen Andreis & Maja Jokić, 2008. "An impact of Croatian journals measured by citation analysis from SCI-expanded database in time span 1975–2001," Scientometrics, Springer;Akadémiai Kiadó, vol. 75(2), pages 263-288, May.
    33. Mahdi Khelfaoui & Julien Larrègue & Vincent Larivière & Yves Gingras, 2020. "Measuring national self-referencing patterns of major science producers," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(2), pages 979-996, May.
    34. Richard Klavans & Kevin W Boyack, 2017. "The Research Focus of Nations: Economic vs. Altruistic Motivations," PLOS ONE, Public Library of Science, vol. 12(1), pages 1-27, January.
    35. Hamid Bouabid & Adèle Paul-Hus & Vincent Larivière, 2016. "Scientific collaboration and high-technology exchanges among BRICS and G-7 countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(3), pages 873-899, March.
    36. Wolfgang Glänzel & Lin Zhang, 2018. "Scientometric research assessment in the developing world: A tribute to Michael J. Moravcsik from the perspective of the twenty-first century," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(3), pages 1517-1532, June.
    37. Martin Barth & Stefanie Haustein & Barbara Scheidt, 2014. "The life sciences in German–Chinese cooperation: an institutional-level co-publication analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(1), pages 99-117, January.
    38. de Mesnard, Louis, 2012. "On some flaws of university rankings: The example of the SCImago report," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 41(5), pages 495-499.
    39. Xiaojun Hu & Ronald Rousseau, 2009. "A comparative study of the difference in research performance in biomedical fields among selected Western and Asian countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(2), pages 475-491, November.
    40. Tzeng-Ji Chen & Yu-Chun Chen & Shinn-Jang Hwang & Li-Fang Chou, 2007. "The contribution of Hong Kong to China’s international scientific publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 71(1), pages 151-154, April.
    41. Frenken, Koen & Hardeman, Sjoerd & Hoekman, Jarno, 2009. "Spatial scientometrics: Towards a cumulative research program," Journal of Informetrics, Elsevier, vol. 3(3), pages 222-232.
    42. Urem, Branka & Alcorta, Ludovico & An, Tongliang, 2008. "The Innovativeness of Foreign Firms in China," MERIT Working Papers 2008-019, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    43. Edmilson J. T. Manganote & Peter A. Schulz & Carlos Henrique Brito Cruz, 2016. "Effect of high energy physics large collaborations on higher education institutions citations and rankings," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 813-826, November.
    44. Gazni, Ali, 2020. "The growing number of patent citations to scientific papers: Changes in the world, nations, and fields," Technology in Society, Elsevier, vol. 62(C).
    45. Abramo, Giovanni & D’Angelo, Ciriaco Andrea, 2015. "A methodology to compute the territorial productivity of scientists: The case of Italy," Journal of Informetrics, Elsevier, vol. 9(4), pages 675-685.
    46. Sunwoong Kim, 2010. "From Brain Drain to Brain Competition: Changing Opportunities and the Career Patterns of US-Trained Korean Academics," NBER Chapters, in: American Universities in a Global Market, pages 335-369, National Bureau of Economic Research, Inc.
    47. Dag W. Aksnes & Thed N. Leeuwen & Gunnar Sivertsen, 2014. "The effect of booming countries on changes in the relative specialization index (RSI) on country level," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1391-1401, November.
    48. Robert D. Shelton, 2008. "Relations between national research investment and publication output: Application to an American Paradox," Scientometrics, Springer;Akadémiai Kiadó, vol. 74(2), pages 191-205, February.
    49. Loet Leydesdorff & Caroline Wagner, 2009. "Is the United States losing ground in science? A global perspective on the world science system," Scientometrics, Springer;Akadémiai Kiadó, vol. 78(1), pages 23-36, January.
    50. Aparna Basu, 2010. "Does a country’s scientific ‘productivity’ depend critically on the number of country journals indexed?," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(3), pages 507-516, March.
    51. Bar-Ilan, Judit, 2008. "Informetrics at the beginning of the 21st century—A review," Journal of Informetrics, Elsevier, vol. 2(1), pages 1-52.
    52. Chung-Souk Han & Su Kyung Lee & Mark England, 2010. "Transition to postmodern science—related scientometric data," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(2), pages 391-401, August.

  191. Wagner, Caroline S. & Leydesdorff, Loet, 2005. "Network structure, self-organization, and the growth of international collaboration in science," Research Policy, Elsevier, vol. 34(10), pages 1608-1618, December.

    Cited by:

    1. Jan Fagerberg & Bengt-Åke Lundvall & Martin Srholec, 2017. "Global value chains, national innovation systems and economic development," Working Papers on Innovation Studies 20171012, Centre for Technology, Innovation and Culture, University of Oslo.
    2. Jozwiak, Akos & Milkovics, Matyas & Lakner, Zoltan, 2016. "A Network-Science Support System for Food Chain Safety: A Case from Hungarian Cattle Production," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 19(A), pages 1-26, June.
    3. Zheng Xie, 2021. "A distributed hypergraph model for simulating the evolution of large coauthorship networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(6), pages 4609-4638, June.
    4. Belkhouja, Mustapha & Fattoum, Senda & Yoon, Hyungseok (David), 2021. "Does greater diversification increase individual productivity? The moderating effect of attention allocation," Research Policy, Elsevier, vol. 50(6).
    5. Kibae Kim & Jörn Altmann & Sodam Baek, 2015. "Role of Platform Providers in Software Ecosystems," TEMEP Discussion Papers 2015120, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Jan 2015.
    6. Elizabeth S. Vieira, 2022. "International research collaboration in Africa: a bibliometric and thematic analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(5), pages 2747-2772, May.
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    241. Minsoo Choi & Heejin Lee & Hanah Zoo, 2021. "Scientific knowledge production and research collaboration between Australia and South Korea: patterns and dynamics based on co-authorship," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 683-706, January.
    242. Massimiliano Ferrara & Roberto Mavilia & Bruno Antonio Pansera, 2017. "Extracting knowledge patterns with a social network analysis approach: an alternative methodology for assessing the impact of power inventors," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(3), pages 1593-1625, December.
    243. Giuseppe Scellato & Chiara Franzoni & Paula Stephan, 2012. "Mobile Scientists and International Networks," NBER Working Papers 18613, National Bureau of Economic Research, Inc.

  192. Loet Leydesdorff, 2005. "Similarity measures, author cocitation analysis, and information theory," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 56(7), pages 769-772, May.

    Cited by:

    1. Copiello, Sergio, 2019. "Peer and neighborhood effects: Citation analysis using a spatial autoregressive model and pseudo-spatial data," Journal of Informetrics, Elsevier, vol. 13(1), pages 238-254.
    2. Meen Chul Kim & Yoo Kyung Jeong & Min Song, 2014. "Investigating the integrated landscape of the intellectual topology of bioinformatics," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 309-335, October.
    3. Shi, Xianwei & Liang, Xingkun & Luo, Yining, 2023. "Unpacking the intellectual structure of ecosystem research in innovation studies," Research Policy, Elsevier, vol. 52(6).
    4. Giulio Giacomo Cantone, 2024. "How to measure interdisciplinary research? A systemic design for the model of measurement," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(8), pages 4937-4982, August.
    5. Hötte, Kerstin, 2023. "Demand-pull, technology-push, and the direction of technological change," Research Policy, Elsevier, vol. 52(5).
    6. García-Lillo, Francisco & Seva-Larrosa, Pedro & Sánchez-García, Eduardo, 2024. "On the basis of research on ‘green’ in the disciplines of management and business," Journal of Business Research, Elsevier, vol. 172(C).
    7. Zhang, Yucheng & Zhang, Meng & Li, Jing & Liu, Guangjian & Yang, Miles M. & Liu, Siqi, 2021. "A bibliometric review of a decade of research: Big data in business research – Setting a research agenda," Journal of Business Research, Elsevier, vol. 131(C), pages 374-390.
    8. García-Lillo, Francisco & Seva-Larrosa, Pedro & Sánchez-García, Eduardo, 2023. "What is going on in entrepreneurship research? A bibliometric and SNA analysis," Journal of Business Research, Elsevier, vol. 158(C).
    9. Guerras-Martín, Luis Ángel & Ronda-Pupo, Guillermo Armando & Zúñiga-Vicente, José Ángel & Benito-Osorio, Diana, 2020. "Half a century of research on corporate diversification: A new comprehensive framework," Journal of Business Research, Elsevier, vol. 114(C), pages 124-141.
    10. Zhigao Liu & Yimei Yin & Weidong Liu & Michael Dunford, 2015. "Visualizing the intellectual structure and evolution of innovation systems research: a bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(1), pages 135-158, April.
    11. Nassiri, Isar & Masoudi-Nejad, Ali & Jalili, Mahdi & Moeini, Ali, 2013. "Normalized Similarity Index: An adjusted index to prioritize article citations," Journal of Informetrics, Elsevier, vol. 7(1), pages 91-98.
    12. Alesia Zuccala & Peter Besselaar, 2009. "Mapping review networks: Exploring research community roles and contributions," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(1), pages 111-122, October.
    13. Gebauer, Heiko & Saul, Caroline, 2014. "Eine bibliometrische Analyse des Forschungsstandes und der zukünftigen Forschungsfragen für die Transformation vom Produzenten zum Dienstleister," Die Unternehmung - Swiss Journal of Business Research and Practice, Nomos Verlagsgesellschaft mbH & Co. KG, vol. 68(4), pages 229-249.
    14. Payam Hanafizadeh & Seyedali Marjaie, 2020. "Trends and turning points of banking: a timespan view," Review of Managerial Science, Springer, vol. 14(6), pages 1183-1219, December.
    15. Xin Ying An & Qing Qiang Wu, 2011. "Co-word analysis of the trends in stem cells field based on subject heading weighting," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(1), pages 133-144, July.
    16. Yun, Jinhyuk & Ahn, Sejung & Lee, June Young, 2020. "Return to basics: Clustering of scientific literature using structural information," Journal of Informetrics, Elsevier, vol. 14(4).
    17. Leydesdorff, Loet & Rafols, Ismael, 2012. "Interactive overlays: A new method for generating global journal maps from Web-of-Science data," Journal of Informetrics, Elsevier, vol. 6(2), pages 318-332.
    18. Viergutz, Tim & Schulze-Ehlers, Birgit, 2018. "The use of hybrid scientometric clustering for systematic literature reviews in business and economics," DARE Discussion Papers 1804, Georg-August University of Göttingen, Department of Agricultural Economics and Rural Development (DARE).
    19. Keilla Dayane Silva-Oliveira & Edson Keyso Miranda Kubo & Michael J. Morley & Rodrigo Médici Cândido, 2021. "Emerging Economy Inward and Outward Foreign Direct Investment: A Bibliometric and Thematic Content Analysis," Management International Review, Springer, vol. 61(5), pages 643-679, October.
    20. Dzikowski, Piotr, 2018. "A bibliometric analysis of born global firms," Journal of Business Research, Elsevier, vol. 85(C), pages 281-294.
    21. Bar-Ilan, Judit, 2008. "Informetrics at the beginning of the 21st century—A review," Journal of Informetrics, Elsevier, vol. 2(1), pages 1-52.
    22. Lu Huang & Xiang Chen & Yi Zhang & Yihe Zhu & Suyi Li & Xingxing Ni, 2021. "Dynamic network analytics for recommending scientific collaborators," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(11), pages 8789-8814, November.

  193. Han Woo Park & Heung Deug Hong & Loet Leydesdorff, 2005. "A comparison of the knowledge-based innovation systems in the economies of South Korea and the Netherlands using Triple Helix indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 65(1), pages 3-27, October.

    Cited by:

    1. Xia Gao & Xi Guo & Jiancheng Guan, 2014. "An analysis of the patenting activities and collaboration among industry-university-research institutes in the Chinese ICT sector," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(1), pages 247-263, January.
    2. Duk Hee Lee & Il Won Seo & Ho Chull Choe & Hee Dae Kim, 2012. "Collaboration network patterns and research performance: the case of Korean public research institutions," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(3), pages 925-942, June.
    3. Eustache Mêgnigbêto, 2018. "Correlation Between Transmission Power and Some Indicators Used to Measure the Knowledge-Based Economy: Case of Six OECD Countries," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 9(4), pages 1168-1183, December.
    4. Hyeonchae Yang & Woo-Sung Jung, 2015. "A strategic management approach for Korean public research institutes based on bibliometric investigation," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(4), pages 1437-1464, July.
    5. Md. Dulal Hossain & Junghoon Moon & Hyoung Goo Kang & Sung Chul Lee & Young Chan Choe, 2012. "Mapping the dynamics of knowledge base of innovations of R&D in Bangladesh: triple helix perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 57-83, January.
    6. Zhao Qu & Shanshan Zhang & Chunbo Zhang, 2017. "Patent research in the field of library and information science: Less useful or difficult to explore?," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(1), pages 205-217, April.
    7. Sebastian Galiani & Ramiro H. Gálvez, 2017. "The Life Cycle of Scholarly Articles across Fields of Research," NBER Working Papers 23447, National Bureau of Economic Research, Inc.
    8. Zhang, Yi & Chen, Kaihua & Fu, Xiaolan, 2019. "Scientific effects of Triple Helix interactions among research institutes, industries and universities," Technovation, Elsevier, vol. 86, pages 33-47.
    9. Tao Zhuang & Shuliang Zhao & Mingliang Zheng & Jianxun Chu, 2021. "Triple helix relationship research on China's regional university–industry–government collaborative innovation: Based on provincial patent data," Growth and Change, Wiley Blackwell, vol. 52(3), pages 1361-1386, September.
    10. Matthew A. Shapiro & Han Woo Park, 2012. "Regional development in South Korea: accounting for research area in centrality and networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 271-287, January.
    11. Leydesdorff, Loet & Wagner, Caroline, 2009. "Macro-level indicators of the relations between research funding and research output," Journal of Informetrics, Elsevier, vol. 3(4), pages 353-362.
    12. Ki-Seok Kwon & Ben R. Martin, 2012. "Synergy or separation mode: the relationship between the academic research and the knowledge-transfer activities of Korean academics," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 177-200, January.
    13. Park, Han Woo & Leydesdorff, Loet, 2010. "Longitudinal trends in networks of university-industry-government relations in South Korea: The role of programmatic incentives," Research Policy, Elsevier, vol. 39(5), pages 640-649, June.
    14. Li, Yin & Arora, Sanjay & Youtie, Jan & Shapira, Philip, 2018. "Using web mining to explore Triple Helix influences on growth in small and mid-size firms," Technovation, Elsevier, vol. 76, pages 3-14.
    15. Jungwon Yoon, 2015. "The evolution of South Korea’s innovation system: moving towards the triple helix model?," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(1), pages 265-293, July.
    16. Maruccia, Ylenia & Solazzo, Gianluca & Del Vecchio, Pasquale & Passiante, Giuseppina, 2020. "Evidence from Network Analysis application to Innovation Systems and Quintuple Helix," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    17. Wong, Chan-Yuan & Goh, Kim-Leng, 2012. "The sustainability of functionality development of science and technology: Papers and patents of emerging economies," Journal of Informetrics, Elsevier, vol. 6(1), pages 55-65.
    18. Yi Zhang & Kaihua Chen & Guilong Zhu & Richard C. M. Yam & Jiancheng Guan, 2016. "Inter-organizational scientific collaborations and policy effects: an ego-network evolutionary perspective of the Chinese Academy of Sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(3), pages 1383-1415, September.
    19. Haneul Kim & Minghao Huang & Furong Jin & David Bodoff & Junghoon Moon & Young Chan Choe, 2012. "Triple helix in the agricultural sector of Northeast Asian countries: a comparative study between Korea and China," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 101-120, January.
    20. Lee, Sangwon & Nam, Yoonjae & Lee, Seonmi & Son, Hyunjung, 2016. "Determinants of ICT innovations: A cross-country empirical study," Technological Forecasting and Social Change, Elsevier, vol. 110(C), pages 71-77.
    21. Yi Zhang & Douglas K. R. Robinson & Alan L. Porter & Donghua Zhu & Guangquan Zhang & Jie Lu, 2015. "Technology roadmapping for competitive technical intelligence," Post-Print hal-01276909, HAL.
    22. Sujin Choi & Joshua Yang & Han Park, 2015. "Quantifying the Triple Helix relationship in scientific research: statistical analyses on the dividing pattern between developed and developing countries," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(4), pages 1381-1396, July.
    23. Minjeong Kim & Han Woo Park, 2012. "Measuring Twitter-based political participation and deliberation in the South Korean context by using social network and Triple Helix indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 121-140, January.
    24. Loet Leydesdorff & Han Woo Park & Balazs Lengyel, 2014. "A routine for measuring synergy in university–industry–government relations: mutual information as a Triple-Helix and Quadruple-Helix indicator," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 27-35, April.
    25. Han Woo Park & Loet Leydesdorff, 2008. "Korean journals in the Science Citation Index: What do they reveal about the intellectual structure of S&T in Korea?," Scientometrics, Springer;Akadémiai Kiadó, vol. 75(3), pages 439-462, June.
    26. Martin Meyer & Kevin Grant & Piera Morlacchi & Dagmara Weckowska, 2014. "Triple Helix indicators as an emergent area of enquiry: a bibliometric perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 151-174, April.
    27. Ramiro H. Gálvez, 2017. "Assessing author self-citation as a mechanism of relevant knowledge diffusion," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1801-1812, June.
    28. Wong, Chan-Yuan & Goh, Kim-Leng, 2010. "Growth behavior of publications and patents: A comparative study on selected Asian economies," Journal of Informetrics, Elsevier, vol. 4(4), pages 460-474.
    29. Chan-Yuan Wong & Kim-Leng Goh, 2012. "The pathway of development: science and technology of NIEs and selected Asian emerging economies," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(3), pages 523-548, September.
    30. Ssu-Han Chen & Mu-Hsuan Huang & Dar-Zen Chen, 2013. "Driving factors of external funding and funding effects on academic innovation performance in university–industry–government linkages," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(3), pages 1077-1098, March.
    31. Irina Dezhina & V. Kiseleva, 2008. "State, Science and Business in Russia's Innovation System," Research Paper Series, Gaidar Institute for Economic Policy, issue 115P.
    32. Han Woo Park & Loet Leydesdorff, 2009. "Knowledge linkage structures in communication studies using citation analysis among communication journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(1), pages 157-175, October.
    33. Seong Eun Cho & Han Woo Park, 2012. "Government organizations’ innovative use of the Internet: The case of the Twitter activity of South Korea’s Ministry for Food, Agriculture, Forestry and Fisheries," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 9-23, January.
    34. Gohar Feroz Khan & Junghoon Moon & Han Woo Park, 2011. "Network of the core: mapping and visualizing the core of scientific domains," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(3), pages 759-779, December.
    35. Yi Zhang & Xiao Zhou & Alan L. Porter & Jose M. Vicente Gomila & An Yan, 2014. "Triple Helix innovation in China’s dye-sensitized solar cell industry: hybrid methods with semantic TRIZ and technology roadmapping," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 55-75, April.
    36. Jung Cheol Shin & Soo Jeung Lee & Yangson Kim, 2012. "Knowledge-based innovation and collaboration: a triple-helix approach in Saudi Arabia," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 311-326, January.
    37. Pieter Stek & Marina Geenhuizen, 2015. "Measuring the dynamics of an innovation system using patent data: a case study of South Korea, 2001–2010," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(4), pages 1325-1343, July.
    38. Han Woo Park, 2014. "Mapping election campaigns through negative entropy: Triple and Quadruple Helix approach to South Korea’s 2012 presidential election," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 187-197, April.
    39. Chung Joo Chung, 2014. "An analysis of the status of the Triple Helix and university–industry–government relationships in Asia," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 139-149, April.
    40. Rui Li & Weihua Fang, 2019. "University-industry-government relations of the Ministry of Industry and Information Technology (MIIT) universities: The perspective of the mutual information," PLOS ONE, Public Library of Science, vol. 14(2), pages 1-14, February.
    41. Loet Leydesdorff & Ping Zhou, 2014. "Measuring the knowledge-based economy of China in terms of synergy among technological, organizational, and geographic attributes of firms," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1703-1719, March.
    42. Weimin Kang & Shuliang Zhao & Wei Song & Tao Zhuang, 2019. "Triple helix in the science and technology innovation centers of China from the perspective of mutual information: a comparative study between Beijing and Shanghai," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 921-940, March.
    43. Lola García-Santiago & Felix Moya-Anegón, 2009. "Using co-outlinks to mine heterogeneous networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 79(3), pages 681-702, June.
    44. Muaz Niazi & Amir Hussain, 2011. "Agent-based computing from multi-agent systems to agent-based models: a visual survey," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(2), pages 479-499, November.
    45. Hyejin Park & Han Woo Park, 2018. "Research evaluation of Asian countries using altmetrics: comparing South Korea, Japan, Taiwan, Singapore, and China," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(2), pages 771-788, November.
    46. Matthew A. Shapiro, 2012. "Receiving information at Korean and Taiwanese universities, industry, and GRIs," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 289-309, January.
    47. Igors Skute & Kasia Zalewska-Kurek & Isabella Hatak & Petra Weerd-Nederhof, 2019. "Mapping the field: a bibliometric analysis of the literature on university–industry collaborations," The Journal of Technology Transfer, Springer, vol. 44(3), pages 916-947, June.
    48. Bobby Swar & Gohar Feroz Khan, 2014. "Mapping ICT knowledge infrastructure in South Asia," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 117-137, April.
    49. Porto-Gomez, Igone & Zabala-Iturriagagoitia, Jon Mikel & Leydesdorff, Loet, 2019. "Innovation systems in México: A matter of missing synergies," Technological Forecasting and Social Change, Elsevier, vol. 148(C).

  194. Loet Leydesdorff & Jin Bihui, 2005. "Mapping the Chinese Science Citation Database in terms of aggregated journal–journal citation relations," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 56(14), pages 1469-1479, December.

    Cited by:

    1. Ruimin Ma & Erjia Yan, 2016. "Uncovering inter-specialty knowledge communication using author citation networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 839-854, November.
    2. Han Woo Park & Loet Leydesdorff, 2008. "Korean journals in the Science Citation Index: What do they reveal about the intellectual structure of S&T in Korea?," Scientometrics, Springer;Akadémiai Kiadó, vol. 75(3), pages 439-462, June.
    3. Leydesdorff, Loet & Rafols, Ismael, 2011. "Indicators of the interdisciplinarity of journals: Diversity, centrality, and citations," Journal of Informetrics, Elsevier, vol. 5(1), pages 87-100.
    4. Julia Osca-Lluch & Pedro Blesa & José Manuel Barrueco & Elena Velasco & Thomas Krichel, 2008. "Some aspects of citation indexes in Spain: A comparative analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 75(2), pages 313-318, May.
    5. Goio Etxebarria & Mikel Gomez-Uranga, 2010. "Use of Scopus and Google Scholar to measure social sciences production in four major Spanish universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(2), pages 333-349, February.
    6. Loet Leydesdorff & Caroline S. Wagner & Lutz Bornmann, 2018. "Betweenness and diversity in journal citation networks as measures of interdisciplinarity—A tribute to Eugene Garfield," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(2), pages 567-592, February.
    7. Leydesdorff, Loet & Rafols, Ismael, 2012. "Interactive overlays: A new method for generating global journal maps from Web-of-Science data," Journal of Informetrics, Elsevier, vol. 6(2), pages 318-332.

  195. Loet Leydesdorff, 2005. "Anticipatory Systems and the Processing of Meaning: a Simulation Study Inspired by Luhmann's Theory of Social Systems," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 8(2), pages 1-7.

    Cited by:

    1. Loet Leydesdorff, 2015. "Can intellectual processes in the sciences also be simulated? The anticipation and visualization of possible future states," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 2197-2214, December.
    2. Loet Leydesdorff, 2007. "Environment and Planning B: Planning and Design as a Journal: The Interdisciplinarity of its Environment and the Citation Impact," Environment and Planning B, , vol. 34(5), pages 826-838, October.

  196. Corinna Fischer & Loet Leydesdorff & Malte Schophaus, 2004. "Science shops in Europe: the public as stakeholder," Science and Public Policy, Oxford University Press, vol. 31(3), pages 199-211, June.

    Cited by:

    1. Klenk, Nicole L. & Hickey, Gordon M., 2013. "How can formal research networks produce more socially robust forest science?," Forest Policy and Economics, Elsevier, vol. 37(C), pages 44-56.
    2. Daniela De Filippo & Nuria Bautista-Puig & Elba Mauleón & Elías Sanz-Casado, 2018. "A Bridge between Society and Universities: A Documentary Analysis of Science Shops," Publications, MDPI, vol. 6(3), pages 1-15, August.
    3. Jason Corburn, 2009. "Cities, Climate Change and Urban Heat Island Mitigation: Localising Global Environmental Science," Urban Studies, Urban Studies Journal Limited, vol. 46(2), pages 413-427, February.
    4. Boere, Esther & Heijman, Wim J.M., 2012. "The Social Value Of Science Shops: A Cost-Benefit Analysis," APSTRACT: Applied Studies in Agribusiness and Commerce, AGRIMBA, vol. 6(3-4), pages 1-8, November.
    5. Bayuo, Blaise Booponoyeng & Chaminade, Cristina & Göransson, Bo, 2020. "Unpacking the role of universities in the emergence, development and impact of social innovations – A systematic review of the literature," Technological Forecasting and Social Change, Elsevier, vol. 155(C).

  197. Loet Leydesdorff, 2004. "Top-down decomposition of the Journal Citation Reportof the Social Science Citation Index: Graph- and factor-analytical approaches," Scientometrics, Springer;Akadémiai Kiadó, vol. 60(2), pages 159-180, June.

    Cited by:

    1. Pedro Cosme Vieira & Aurora A.C. Teixeira, 2006. "Are Finance, Management, and Marketing Autonomous Fields of Scientific Research? An Analysis Based on Journal Citations," FEP Working Papers 233, Universidade do Porto, Faculdade de Economia do Porto.
    2. Li, Yunrong & Ruiz-Castillo, Javier, 2013. "The comparison of normalization procedures based on different classification systems," Journal of Informetrics, Elsevier, vol. 7(4), pages 945-958.
    3. Ruimin Ma & Erjia Yan, 2016. "Uncovering inter-specialty knowledge communication using author citation networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 839-854, November.
    4. Josh Angrist & Pierre Azoulay & Glenn Ellison & Ryan Hill & Susan Feng Lu, 2020. "Inside Job or Deep Impact? Extramural Citations and the Influence of Economic Scholarship," Journal of Economic Literature, American Economic Association, vol. 58(1), pages 3-52, March.
    5. Gohar Feroz Khan, 2013. "Social media-based systems: an emerging area of information systems research and practice," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(1), pages 159-180, April.
    6. Chen, Kaihua & Guan, Jiancheng, 2011. "A bibliometric investigation of research performance in emerging nanobiopharmaceuticals," Journal of Informetrics, Elsevier, vol. 5(2), pages 233-247.
    7. Perianes-Rodriguez, Antonio & Ruiz-Castillo, Javier, 2017. "A comparison of the Web of Science and publication-level classification systems of science," Journal of Informetrics, Elsevier, vol. 11(1), pages 32-45.
    8. Lin Zhang & Frizo Janssens & Liming Liang & Wolfgang Glänzel, 2010. "Journal cross-citation analysis for validation and improvement of journal-based subject classification in bibliometric research," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(3), pages 687-706, March.
    9. Joshua Angrist & Pierre Azoulay & Glenn Ellison & Ryan Hill & Susan Feng Lu, 2017. "Inside Job or Deep Impact? Using Extramural Citations to Assess Economic Scholarship," NBER Working Papers 23698, National Bureau of Economic Research, Inc.
    10. Peng Wang & Fang-Wei Zhu & Hao-Yang Song & Jian-Hua Hou & Jin-Lan Zhang, 2018. "Visualizing the Academic Discipline of Knowledge Management," Sustainability, MDPI, vol. 10(3), pages 1-28, March.
    11. Aurora A.C. Teixeira, 2011. "Mapping the (In)visible College(s) in the Field of Entrepreneurship," FEP Working Papers 416, Universidade do Porto, Faculdade de Economia do Porto.
    12. Ritzberger Klaus, 2008. "A Ranking of Journals in Economics and Related Fields," German Economic Review, De Gruyter, vol. 9(4), pages 402-430, December.
    13. Peng, Tai-Quan, 2015. "Assortative mixing, preferential attachment, and triadic closure: A longitudinal study of tie-generative mechanisms in journal citation networks," Journal of Informetrics, Elsevier, vol. 9(2), pages 250-262.
    14. Han Woo Park & Loet Leydesdorff, 2009. "Knowledge linkage structures in communication studies using citation analysis among communication journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(1), pages 157-175, October.
    15. Sumita Raghuram & Philipp Tuertscher & Raghu Garud, 2010. "Research Note ---Mapping the Field of Virtual Work: A Cocitation Analysis," Information Systems Research, INFORMS, vol. 21(4), pages 983-999, December.
    16. Gohar Feroz Khan & Junghoon Moon & Han Woo Park, 2011. "Network of the core: mapping and visualizing the core of scientific domains," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(3), pages 759-779, December.
    17. Lixin Chen & Ronald Rousseau, 2008. "Q-measures for binary divided networks: Bridges between German and English institutes in publications of the Journal of Fluid Mechanics," Scientometrics, Springer;Akadémiai Kiadó, vol. 74(1), pages 57-69, January.
    18. Bangrae Lee & Yong-Il Jeong, 2008. "Mapping Korea’s national R&D domain of robot technology by using the co-word analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 77(1), pages 3-19, October.
    19. Kevin W. Boyack & Katy Börner & Richard Klavans, 2009. "Mapping the structure and evolution of chemistry research," Scientometrics, Springer;Akadémiai Kiadó, vol. 79(1), pages 45-60, April.
    20. Martin Gregor, 2006. "Hodnocení ekonomických pracovišť a ekonomů: Koho, proč, čím a jak [A survey of rankings of economic departments: Global, american, european and national]," Politická ekonomie, Prague University of Economics and Business, vol. 2006(3), pages 394-414.
    21. Klemiński, Rajmund & Kazienko, Przemyslaw & Kajdanowicz, Tomasz, 2021. "Where should I publish? Heterogeneous, networks-based prediction of paper’s citation success," Journal of Informetrics, Elsevier, vol. 15(3).
    22. Bar-Ilan, Judit, 2008. "Informetrics at the beginning of the 21st century—A review," Journal of Informetrics, Elsevier, vol. 2(1), pages 1-52.
    23. András Schubert, 2010. "A reference-based Hirschian similarity measure for journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(1), pages 133-147, July.

  198. Loet Leydesdorff, 2004. "The university–industry knowledge relationship: Analyzing patents and the science base of technologies," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 55(11), pages 991-1001, September.

    Cited by:

    1. Suma Athreye & Martha Prevezer, 2008. "R&D offshoring and the domestic science base in India and China," Working Papers 26, Queen Mary, University of London, School of Business and Management, Centre for Globalisation Research.
    2. Antje Klitkou & Stian Nygaard & Martin Meyer, 2007. "Tracking techno-science networks: A case study of fuel cells and related hydrogen technology R&D in Norway," Scientometrics, Springer;Akadémiai Kiadó, vol. 70(2), pages 491-518, February.
    3. Verspagen, Bart & Nomaler, Onder, 2007. "Knowledge Flows, Patent Citations and the Impact of Science on Technology," MERIT Working Papers 2007-022, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    4. Leydesdorff, Loet & Wagner, Caroline, 2009. "Macro-level indicators of the relations between research funding and research output," Journal of Informetrics, Elsevier, vol. 3(4), pages 353-362.
    5. Chunjuan Luan & Chunyan Zhou & Aiyun Liu, 2010. "Patent strategy in Chinese universities: a comparative perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(1), pages 53-63, July.
    6. Melnikas Borisas, 2018. "The Knowledge Economy and the Activation of Scientific and Technological Progress: Contemporary Challenges," Ekonomika (Economics), Sciendo, vol. 97(1), pages 7-23, January.
    7. Zutshi, Ambika & Creed, Andrew & Bhattacharya, Ananya & Bavik, Ali & Sohal, Amrik & Bavik, Yuen Lam, 2021. "Demystifying knowledge hiding in academic roles in higher education," Journal of Business Research, Elsevier, vol. 137(C), pages 206-221.
    8. Tom Magerman & Bart Looy & Xiaoyan Song, 2010. "Exploring the feasibility and accuracy of Latent Semantic Analysis based text mining techniques to detect similarity between patent documents and scientific publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(2), pages 289-306, February.
    9. Loet Leydesdorff & Martin Meyer, 2007. "The scientometrics of a Triple Helix of university-industry-government relations (Introduction to the topical issue)," Scientometrics, Springer;Akadémiai Kiadó, vol. 70(2), pages 207-222, February.
    10. Loet Leydesdorff & Duncan Kushnir & Ismael Rafols, 2014. "Interactive overlay maps for US patent (USPTO) data based on International Patent Classification (IPC)," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1583-1599, March.
    11. Breschi, Stefano & Catalini, Christian, 2010. "Tracing the links between science and technology: An exploratory analysis of scientists' and inventors' networks," Research Policy, Elsevier, vol. 39(1), pages 14-26, February.
    12. Hae Ok Choi, 2020. "An Evolutionary Approach to Technology Innovation of Cadastre for Smart Land Management Policy," Land, MDPI, vol. 9(2), pages 1-19, February.
    13. Sabrina L. Woltmann & Lars Alkærsig, 2018. "Tracing university–industry knowledge transfer through a text mining approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(1), pages 449-472, October.
    14. Loet Leydesdorff & Lutz Bornmann, 2012. "Mapping (USPTO) patent data using overlays to Google Maps," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(7), pages 1442-1458, July.
    15. Leydesdorff, Loet & Dolfsma, Wilfred & Van der Panne, Gerben, 2006. "Measuring the knowledge base of an economy in terms of triple-helix relations among 'technology, organization, and territory'," Research Policy, Elsevier, vol. 35(2), pages 181-199, March.
    16. Xia Gao & Jiancheng Guan, 2009. "Networks of scientific journals: An exploration of Chinese patent data," Scientometrics, Springer;Akadémiai Kiadó, vol. 80(1), pages 283-302, July.
    17. Wilfred Dolfsma, 2008. "Innovation Systems as Patent Networks," Working Papers id:1651, eSocialSciences.
    18. Katharina Maria Hofer & Angela Elisabeth Smejkal & F. Zeynep Bilgin & Gerhard A. Wuehrer, 2010. "Conference proceedings as a matter of bibliometric studies: the Academy of International Business 2006–2008," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(3), pages 845-862, September.

  199. Loet Leydesdorff & Martin Meyer, 2003. "The Triple Helix of university-industry-government relations," Scientometrics, Springer;Akadémiai Kiadó, vol. 58(2), pages 191-203, October.

    Cited by:

    1. Antje Klitkou & Stian Nygaard & Martin Meyer, 2007. "Tracking techno-science networks: A case study of fuel cells and related hydrogen technology R&D in Norway," Scientometrics, Springer;Akadémiai Kiadó, vol. 70(2), pages 491-518, February.
    2. Todd Gabe & Jaison Abel & Adrienne Ross & Kevin Stolarick, 2012. "Knowledge in Cities," Urban Studies, Urban Studies Journal Limited, vol. 49(6), pages 1179-1200, May.
    3. Martin Meyer & Tatiana Siniläinen & Jan Timm Utecht, 2003. "Towards hybrid Triple Helix indicators: A study of university-related patents and a survey of academic inventors," Scientometrics, Springer;Akadémiai Kiadó, vol. 58(2), pages 321-350, October.
    4. Consoli, Davide & Ramlogan, Ronnie, 2009. "Scope, Strategy and Structure: The Dynamics of Knowledge Networks in Medicine," MPRA Paper 12791, University Library of Munich, Germany.
    5. Jiancheng Guan & Gangbo Wang, 2010. "A comparative study of research performance in nanotechnology for China’s inventor–authors and their non-inventing peers," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(2), pages 331-343, August.
    6. Gesa Pflitsch & Verena Radinger-Peer, 2018. "Developing Boundary-Spanning Capacity for Regional Sustainability Transitions—A Comparative Case Study of the Universities of Augsburg (Germany) and Linz (Austria)," Sustainability, MDPI, vol. 10(4), pages 1-26, March.
    7. Ronnie Ramlogan & Andrea Mina & Gindo Tampubolon & J. Stanley Metcalfe, 2007. "Networks of knowledge: The distributed nature of medical innovation," Scientometrics, Springer;Akadémiai Kiadó, vol. 70(2), pages 459-489, February.
    8. Xiao-Ping Lei & Zhi-Yun Zhao & Xu Zhang & Dar-Zen Chen & Mu-Hsuan Huang & Yun-Hua Zhao, 2012. "The inventive activities and collaboration pattern of university–industry–government in China based on patent analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 231-251, January.
    9. Tao Zhuang & Shuliang Zhao & Mingliang Zheng & Jianxun Chu, 2021. "Triple helix relationship research on China's regional university–industry–government collaborative innovation: Based on provincial patent data," Growth and Change, Wiley Blackwell, vol. 52(3), pages 1361-1386, September.
    10. Azagra-Caro, Joaquín M. & Fernández-de-Lucio, Ignacio & Perruchas, François & Mattsson, Pauline, 2008. "What Do Patent Examiner Inserted Citations Indicate For A Region With Low Absorptive Capacity," INGENIO (CSIC-UPV) Working Paper Series 200808, INGENIO (CSIC-UPV), revised 27 Apr 2010.
    11. Leydesdorff, Loet & Fritsch, Michael, 2006. "Measuring the knowledge base of regional innovation systems in Germany in terms of a Triple Helix dynamics," Research Policy, Elsevier, vol. 35(10), pages 1538-1553, December.
    12. Flores, Maria Cecilia & Grimaldi, Rosa & Poli, Silvia & Villani, Elisa, 2024. "Entrepreneurial universities and intrapreneurship: A process model on the emergence of an intrapreneurial university," Technovation, Elsevier, vol. 129(C).
    13. Verena Peer & Marianne Penker, 2016. "Higher Education Institutions and Regional Development," International Regional Science Review, , vol. 39(2), pages 228-253, April.
    14. Dan He & Manxin Zheng & Wei Cheng & Yui-yip Lau & Qingmei Yin, 2019. "Interaction between Higher Education Outputs and Industrial Structure Evolution: Evidence from Hubei Province, China," Sustainability, MDPI, vol. 11(10), pages 1-19, May.
    15. Santini, Mateus Augusto Fassina & Faccin, Kadígia & Balestrin, Alsones & Volkmer Martins, Bibiana, 2021. "How the relational structure of universities influences research and development results," Journal of Business Research, Elsevier, vol. 125(C), pages 155-163.
    16. Loet Leydesdorff & Martin Meyer, 2007. "The scientometrics of a Triple Helix of university-industry-government relations (Introduction to the topical issue)," Scientometrics, Springer;Akadémiai Kiadó, vol. 70(2), pages 207-222, February.
    17. Saveria Capellari & Domenico Stefano, 2014. "University-owned and university-invented patents: a network analysis on two Italian universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(2), pages 313-329, May.
    18. Qingjun Zhao & Jiancheng Guan, 2012. "Modeling the dynamic relation between science and technology in nanotechnology," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(2), pages 561-579, February.
    19. Ozcan, Sercan & Islam, Nazrul, 2014. "Collaborative networks and technology clusters — The case of nanowire," Technological Forecasting and Social Change, Elsevier, vol. 82(C), pages 115-131.
    20. Bradley, Samantha R. & Hayter, Christopher S. & Link, Albert N., 2013. "Models and Methods of University Technology Transfer," UNCG Economics Working Papers 13-10, University of North Carolina at Greensboro, Department of Economics.
    21. Subhan Tahrima & Don Jaegal, 2013. "Applicability of Knowledge-Based Innovation System in Bangladesh," International Review of Public Administration, Taylor & Francis Journals, vol. 18(3), pages 185-208, December.
    22. Miguel A. Ortiz Acuña & Adiel T. Almeida Filho & Francisco S. Ramos, 2024. "Modelling the triple helix system innovation of the main economies from Latin America: a coalitional game theory approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(6), pages 3245-3270, June.
    23. Jyoti Paswan & Vivek Kumar Singh & Mousumi Karmakar & Prashasti Singh, 2022. "Does university–industry–government collaboration in research gets higher citation and altmetric impact? A case study from India," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(11), pages 6063-6082, November.
    24. Isabel Gómez & María Bordons & M. Teresa Fernández & Fernanda Morillo, 2009. "Structure and research performance of Spanish universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 79(1), pages 131-146, April.
    25. Swapan Kumar Patra & Mammo Muchie, 2018. "Research and innovation in South African universities: from the triple helix’s perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 51-76, July.
    26. Ssu-Han Chen & Mu-Hsuan Huang & Dar-Zen Chen, 2013. "Driving factors of external funding and funding effects on academic innovation performance in university–industry–government linkages," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(3), pages 1077-1098, March.
    27. Adriana Tiron-Tudor & Cristina Silvia Nistor & Cristina Alexandrina Stefanescu, 2018. "The Role of Universities in Consolidating Intellectual Capital and Generating New Knowledge for a Sustainable Bio-Economy," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 20(49), pages 599-599, August.
    28. Yuandi Wang & Jiashun Huang & Yantai Chen & Xiongfeng Pan & Jin Chen, 2013. "Have Chinese universities embraced their third mission? New insight from a business perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(2), pages 207-222, November.
    29. Xin Wang, 2023. "Research on the Coupling Coordination Degree of Triple Helix of Government Guidance, Industrial Innovation and Scientific Research Systems: Evidence from China," Sustainability, MDPI, vol. 15(6), pages 1-20, March.
    30. Cristina López-Duarte & Marta M. Vidal-Suárez & Belén González-Díaz, 2018. "The early adulthood of the Asia Pacific Journal of Management: A literature review 2005–2014," Asia Pacific Journal of Management, Springer, vol. 35(2), pages 313-345, June.
    31. Liney Manjarrés-Henríquez & Antonio Gutiérrez-Gracia & Jaider Vega-Jurado, 2008. "Coexistence of university-industry relations and academic research: Barrier to or incentive for scientific productivity," Scientometrics, Springer;Akadémiai Kiadó, vol. 76(3), pages 561-576, September.
    32. Mu-Hsuan Huang & Hui-Yun Sung & Chun-Chieh Wang & Dar-Zen Chen, 2013. "Exploring patent performance and technology interactions of universities, industries, governments and individuals," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(1), pages 11-26, July.
    33. Daniel Lovin & Monica Raducan & Alexandru Capatina & Nicoleta Cristache, 2021. "Sustainable Knowledge Transfer from Business Simulations to Working Environments: Correlational vs. Configurational Approach," Sustainability, MDPI, vol. 13(4), pages 1-16, February.
    34. Meyer, Martin, 2006. "Are patenting scientists the better scholars?: An exploratory comparison of inventor-authors with their non-inventing peers in nano-science and technology," Research Policy, Elsevier, vol. 35(10), pages 1646-1662, December.
    35. Kiyong Om & Jungmann Lee & Juno Chang, 2007. "Using supply chain management to enhance industry—university collaborations in IT higher education in Korea," Scientometrics, Springer;Akadémiai Kiadó, vol. 71(3), pages 455-471, June.
    36. Lola García-Santiago & Felix Moya-Anegón, 2009. "Using co-outlinks to mine heterogeneous networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 79(3), pages 681-702, June.
    37. Bonilla, George J.J. & Dietlmeier, Simon Frederic & Urmetzer, Florian, 2023. "Multi-Stakeholder Ecosystem for Standardization of AI in Industry," MPRA Paper 120619, University Library of Munich, Germany.
    38. Kinga Ewa Bednarzewska & Agnieszka Sitko-Lutek, 2021. "Cooperation between Science, Business, and Administration under the Triple Helix Model in European States: The Example of Poland," European Research Studies Journal, European Research Studies Journal, vol. 0(3), pages 256-281.
    39. Yuandi Wang & Die Hu & Weiping Li & Yiwei Li & Qiang Li, 2015. "Collaboration strategies and effects on university research: evidence from Chinese universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(2), pages 725-749, May.

  200. Loet Leydesdorff, 2003. "The mutual information of university-industry-government relations: An indicator of the Triple Helix dynamics," Scientometrics, Springer;Akadémiai Kiadó, vol. 58(2), pages 445-467, October.

    Cited by:

    1. Antje Klitkou & Stian Nygaard & Martin Meyer, 2007. "Tracking techno-science networks: A case study of fuel cells and related hydrogen technology R&D in Norway," Scientometrics, Springer;Akadémiai Kiadó, vol. 70(2), pages 491-518, February.
    2. Wolfgang Glänzel & Balázs Schlemmer, 2007. "National research profiles in a changing Europe (1983–2003) An exploratory study of sectoral characteristics in the Triple Helix," Scientometrics, Springer;Akadémiai Kiadó, vol. 70(2), pages 267-275, February.
    3. Eustache Mêgnigbêto, 2018. "Correlation Between Transmission Power and Some Indicators Used to Measure the Knowledge-Based Economy: Case of Six OECD Countries," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 9(4), pages 1168-1183, December.
    4. Hyeonchae Yang & Woo-Sung Jung, 2015. "A strategic management approach for Korean public research institutes based on bibliometric investigation," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(4), pages 1437-1464, July.
    5. Loet Leydesdorff & Igone Porto-Gomez, 2019. "Measuring the expected synergy in Spanish regional and national systems of innovation," The Journal of Technology Transfer, Springer, vol. 44(1), pages 189-209, February.
    6. Md. Dulal Hossain & Junghoon Moon & Hyoung Goo Kang & Sung Chul Lee & Young Chan Choe, 2012. "Mapping the dynamics of knowledge base of innovations of R&D in Bangladesh: triple helix perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 57-83, January.
    7. Yuan Sun & Masamitsu Negishi, 2010. "Measuring the relationships among university, industry and other sectors in Japan’s national innovation system: a comparison of new approaches with mutual information indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(3), pages 677-685, March.
    8. Gohar Feroz Khan & Han Woo Park, 2012. "Editorial: Triple Helix and innovation in Asia using scientometrics, webometrics, and informetrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 1-7, January.
    9. Zhang, Yi & Chen, Kaihua & Fu, Xiaolan, 2019. "Scientific effects of Triple Helix interactions among research institutes, industries and universities," Technovation, Elsevier, vol. 86, pages 33-47.
    10. Tao Zhuang & Shuliang Zhao & Mingliang Zheng & Jianxun Chu, 2021. "Triple helix relationship research on China's regional university–industry–government collaborative innovation: Based on provincial patent data," Growth and Change, Wiley Blackwell, vol. 52(3), pages 1361-1386, September.
    11. Weiwei Ye & Yan Wang, 2019. "Exploring the Triple Helix Synergy in Chinese National System of Innovation," Sustainability, MDPI, vol. 11(23), pages 1-17, November.
    12. Yang, Hyeonchae & Jung, Woo-Sung, 2016. "Structural efficiency to manipulate public research institution networks," Technological Forecasting and Social Change, Elsevier, vol. 110(C), pages 21-32.
    13. Leydesdorff, Loet & Fritsch, Michael, 2006. "Measuring the knowledge base of regional innovation systems in Germany in terms of a Triple Helix dynamics," Research Policy, Elsevier, vol. 35(10), pages 1538-1553, December.
    14. Park, Han Woo & Leydesdorff, Loet, 2010. "Longitudinal trends in networks of university-industry-government relations in South Korea: The role of programmatic incentives," Research Policy, Elsevier, vol. 39(5), pages 640-649, June.
    15. Li, Yin & Arora, Sanjay & Youtie, Jan & Shapira, Philip, 2018. "Using web mining to explore Triple Helix influences on growth in small and mid-size firms," Technovation, Elsevier, vol. 76, pages 3-14.
    16. Mu-Hsuan Huang & Mei-Jhen Huang, 2018. "An analysis of global research funding from subject field and funding agencies perspectives in the G9 countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(2), pages 833-847, May.
    17. Gohar Feroz Khan, 2013. "Social media-based systems: an emerging area of information systems research and practice," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(1), pages 159-180, April.
    18. Yi Zhang & Kaihua Chen & Guilong Zhu & Richard C. M. Yam & Jiancheng Guan, 2016. "Inter-organizational scientific collaborations and policy effects: an ego-network evolutionary perspective of the Chinese Academy of Sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(3), pages 1383-1415, September.
    19. Hernández-Trasobares, Alejandro & Murillo-Luna, Josefina L., 2020. "The effect of triple helix cooperation on business innovation: The case of Spain," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    20. Lee, Young Hoon & Kim, YoungJun, 2016. "Analyzing interaction in R&D networks using the Triple Helix method: Evidence from industrial R&D programs in Korean government," Technological Forecasting and Social Change, Elsevier, vol. 110(C), pages 93-105.
    21. Sujin Choi & Joshua Yang & Han Park, 2015. "Quantifying the Triple Helix relationship in scientific research: statistical analyses on the dividing pattern between developed and developing countries," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(4), pages 1381-1396, July.
    22. Mêgnigbêto, Eustache, 2018. "Modelling the Triple Helix of university-industry-government relationships with game theory: Core, Shapley value and nucleolus as indicators of synergy within an innovation system," Journal of Informetrics, Elsevier, vol. 12(4), pages 1118-1132.
    23. Minjeong Kim & Han Woo Park, 2012. "Measuring Twitter-based political participation and deliberation in the South Korean context by using social network and Triple Helix indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 121-140, January.
    24. Xiaojun Hu & Xian Li & Ronald Rousseau, 2021. "Mathematical reflections on Triple Helix calculations," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(10), pages 8581-8587, October.
    25. Tao Zhuang & Zhixia Zhou & Qingjun Li, 2021. "University‐industry‐government triple helix relationship and regional innovation efficiency in China," Growth and Change, Wiley Blackwell, vol. 52(1), pages 349-370, March.
    26. Maria Manuela Natário & João Pedro Couto & Ascensão Maria Braga & Teresa Maria Tiago, 2011. "Dynamics of innovation in European regions," ERSA conference papers ersa11p466, European Regional Science Association.
    27. Loet Leydesdorff & Han Woo Park & Balazs Lengyel, 2014. "A routine for measuring synergy in university–industry–government relations: mutual information as a Triple-Helix and Quadruple-Helix indicator," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 27-35, April.
    28. Subhan Tahrima & Don Jaegal, 2013. "Applicability of Knowledge-Based Innovation System in Bangladesh," International Review of Public Administration, Taylor & Francis Journals, vol. 18(3), pages 185-208, December.
    29. Martin Meyer & Kevin Grant & Piera Morlacchi & Dagmara Weckowska, 2014. "Triple Helix indicators as an emergent area of enquiry: a bibliometric perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 151-174, April.
    30. Farshad Momeni & Ali Arab Mazar Yazdi & Seyed Mohammad Sajjad Najafi, 2019. "Changing economic systems and institutional dimensions of the Triple Helix model," Journal of Innovation and Entrepreneurship, Springer, vol. 8(1), pages 1-12, December.
    31. Jessica García-Terán & Annika Skoglund, 2019. "A Processual Approach for the Quadruple Helix Model: the Case of a Regional Project in Uppsala," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 10(3), pages 1272-1296, September.
    32. Tao, Zhuang & Shuliang, Zhao, 2022. "Collaborative innovation relationship in Yangtze River Delta of China: Subjects collaboration and spatial correlation," Technology in Society, Elsevier, vol. 69(C).
    33. Zabala-Iturriagagoitia, Jon Mikel & Porto Gómez, Igone & Aguirre Larracoechea, Urko, 2020. "Technological diversification: a matter of related or unrelated varieties?," Technological Forecasting and Social Change, Elsevier, vol. 155(C).
    34. Mêgnigbêto, Eustache, 2014. "Efficiency, unused capacity and transmission power as indicators of the Triple Helix of university–industry–government relationships," Journal of Informetrics, Elsevier, vol. 8(1), pages 284-294.
    35. Ssu-Han Chen & Mu-Hsuan Huang & Dar-Zen Chen, 2013. "Driving factors of external funding and funding effects on academic innovation performance in university–industry–government linkages," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(3), pages 1077-1098, March.
    36. Dehez, Pierre & Mêgnigbêto, Eustache, 2024. "Measuring the extent of synergies among innovation actors and their contributions: the Helix as a cooperative game," LIDAM Discussion Papers CORE 2024006, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    37. Izabella Szakálné Kanó & Zsófia Vas & Slávka Klasová, 2023. "Emerging Synergies in Innovation Systems: Creative Industries in Central Europe," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 14(1), pages 450-471, March.
    38. Huang, Mu-Hsuan & Chang, Yu-Wei, 2018. "Multi-institutional authorship in genetics and high-energy physics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 505(C), pages 549-558.
    39. Haijun Wang & Sardar M. N. Islam, 2017. "Construction of an open innovation network and its mechanism design for manufacturing enterprises: a resource-based perspective," Frontiers of Business Research in China, Springer, vol. 11(1), pages 1-21, December.
    40. Luis Antonio Orozco Castro, 2015. "Diversidad y heterogeneidad en redes de colaboración científica. Un estudio de las escuelas de administración de América Latina," Books, Universidad Externado de Colombia, Facultad de Administración de Empresas, edition 1, number 44, August.
    41. Yi Zhang & Xiao Zhou & Alan L. Porter & Jose M. Vicente Gomila & An Yan, 2014. "Triple Helix innovation in China’s dye-sensitized solar cell industry: hybrid methods with semantic TRIZ and technology roadmapping," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 55-75, April.
    42. Mickael Benaim & Jean-Alain Héraud & Valérie Mérindol & Jean-Paul Villette, 2014. "Scientific connectivity of European regions: towards a typology of cooperative schèmes," Working Papers of BETA 2014-13, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    43. Qianqian Jin & Hongshu Chen & Ximeng Wang & Tingting Ma & Fei Xiong, 2022. "Exploring funding patterns with word embedding-enhanced organization–topic networks: a case study on big data," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(9), pages 5415-5440, September.
    44. Shuto Miyashita & Shintaro Sengoku, 2021. "Scientometrics for management of science: collaboration and knowledge structures and complexities in an interdisciplinary research project," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(9), pages 7419-7444, September.
    45. Sujin Choi, 2012. "Core-periphery, new clusters, or rising stars?: international scientific collaboration among ‘advanced’ countries in the era of globalization," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 25-41, January.
    46. Arianna Martinelli & Martin Meyer & Nick Tunzelmann, 2008. "Becoming an entrepreneurial university? A case study of knowledge exchange relationships and faculty attitudes in a medium-sized, research-oriented university," The Journal of Technology Transfer, Springer, vol. 33(3), pages 259-283, June.
    47. Chen, Kaihua & Zhang, Yi & Zhu, Guilong & Mu, Rongping, 2020. "Do research institutes benefit from their network positions in research collaboration networks with industries or/and universities?," Technovation, Elsevier, vol. 94.
    48. Sujin Choi & Ji-young Park & Han Woo Park, 2012. "Using social media data to explore communication processes within South Korean online innovation communities," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 43-56, January.
    49. Pieter Stek & Marina Geenhuizen, 2015. "Measuring the dynamics of an innovation system using patent data: a case study of South Korea, 2001–2010," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(4), pages 1325-1343, July.
    50. Xin Wang, 2023. "Research on the Coupling Coordination Degree of Triple Helix of Government Guidance, Industrial Innovation and Scientific Research Systems: Evidence from China," Sustainability, MDPI, vol. 15(6), pages 1-20, March.
    51. Leydesdorff, Loet & Dolfsma, Wilfred & Van der Panne, Gerben, 2006. "Measuring the knowledge base of an economy in terms of triple-helix relations among 'technology, organization, and territory'," Research Policy, Elsevier, vol. 35(2), pages 181-199, March.
    52. Han Woo Park, 2014. "Mapping election campaigns through negative entropy: Triple and Quadruple Helix approach to South Korea’s 2012 presidential election," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 187-197, April.
    53. Chung Joo Chung, 2014. "An analysis of the status of the Triple Helix and university–industry–government relationships in Asia," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 139-149, April.
    54. Loet Leydesdorff & Ping Zhou, 2014. "Measuring the knowledge-based economy of China in terms of synergy among technological, organizational, and geographic attributes of firms," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1703-1719, March.
    55. Weimin Kang & Shuliang Zhao & Wei Song & Tao Zhuang, 2019. "Triple helix in the science and technology innovation centers of China from the perspective of mutual information: a comparative study between Beijing and Shanghai," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 921-940, March.
    56. Hyejin Park & Han Woo Park, 2018. "Research evaluation of Asian countries using altmetrics: comparing South Korea, Japan, Taiwan, Singapore, and China," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(2), pages 771-788, November.
    57. Gohar Feroz Khan & Seong Eun Cho & Han Woo Park, 2012. "A comparison of the Daegu and Edinburgh musical industries: a triple helix approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 85-99, January.
    58. Loet Leydesdorff, 2013. "Statistics for the dynamic analysis of scientometric data: the evolution of the sciences in terms of trajectories and regimes," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(3), pages 731-741, September.
    59. Milica Jovanović & Gordana Savić & Yuzhuo Cai & Maja Levi-Jakšić, 2022. "Towards a Triple Helix based efficiency index of innovation systems," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(5), pages 2577-2609, May.
    60. Vincent Larivière & Benoit Macaluso & Philippe Mongeon & Kyle Siler & Cassidy R Sugimoto, 2018. "Vanishing industries and the rising monopoly of universities in published research," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-10, August.
    61. Bobby Swar & Gohar Feroz Khan, 2014. "Mapping ICT knowledge infrastructure in South Asia," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 117-137, April.
    62. Andréa Aparecida Costa Mineiro & Cleber Carvalho Castro & Marcelo Gonçalves do Amaral, 2024. "Who Are the Actors of Quadruple and Quintuple Helix? Multiple Cases in Consolidated Science and Technology Parks," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(1), pages 4691-4709, March.
    63. Porto-Gomez, Igone & Zabala-Iturriagagoitia, Jon Mikel & Leydesdorff, Loet, 2019. "Innovation systems in México: A matter of missing synergies," Technological Forecasting and Social Change, Elsevier, vol. 148(C).

  201. Loet Leydesdorff & Henry Etzkowitz, 2003. "Can ‘the public’ be considered as a fourth helix in university-industry-government relations? Report on the Fourth Triple Helix Conference, 2002," Science and Public Policy, Oxford University Press, vol. 30(1), pages 55-61, February.

    Cited by:

    1. Pardo-Guerra, Juan Pablo, 2011. "Mapping emergence across the Atlantic: Some (tentative) lessons on nanotechnology in Latin America," Technology in Society, Elsevier, vol. 33(1), pages 94-108.
    2. Asta Valackienė & Rafał Nagaj, 2021. "Shared Taxonomy for the Implementation of Responsible Innovation Approach in Industrial Ecosystems," Sustainability, MDPI, vol. 13(17), pages 1-21, September.
    3. Loet Leydesdorff & Han Woo Park & Balazs Lengyel, 2014. "A routine for measuring synergy in university–industry–government relations: mutual information as a Triple-Helix and Quadruple-Helix indicator," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 27-35, April.
    4. Jasleen Brar & Nashit Chowdhury & Mohammad M. H. Raihan & Ayisha Khalid & Mary Grantham O’Brien & Christine A. Walsh & Tanvir C. Turin, 2023. "The Benefits, Challenges, and Strategies toward Establishing a Community-Engaged Knowledge Hub: An Integrative Review," IJERPH, MDPI, vol. 20(2), pages 1-26, January.
    5. Farshad Momeni & Ali Arab Mazar Yazdi & Seyed Mohammad Sajjad Najafi, 2019. "Changing economic systems and institutional dimensions of the Triple Helix model," Journal of Innovation and Entrepreneurship, Springer, vol. 8(1), pages 1-12, December.
    6. Mario COCCIA, 2018. "Evolution of the economics of science in the Twenty Century," Journal of Economics Library, KSP Journals, vol. 5(1), pages 65-84, March.
    7. Pedro Monteiro & Teresa De Noronha & Paulo Neto, 2013. "A Differentiation Framework for Maritime Clusters: Comparisons across Europe," Sustainability, MDPI, vol. 5(9), pages 1-30, September.
    8. Mona Roman & Henry Varga & Vladimir Cvijanovic & Alasdair Reid, 2020. "Quadruple Helix Models for Sustainable Regional Innovation: Engaging and Facilitating Civil Society Participation," Economies, MDPI, vol. 8(2), pages 1-15, June.
    9. Monteiro, Pedro & Noronha, Teresa & Neto, Paulo, 2011. "Contributions towards a Cluster Strategy for the Sea in the Algarve," Spatial and Organizational Dynamics Discussion Papers 2011-10, CIEO-Research Centre for Spatial and Organizational Dynamics, University of Algarve.
    10. Leydesdorff, Loet & Dolfsma, Wilfred & Van der Panne, Gerben, 2006. "Measuring the knowledge base of an economy in terms of triple-helix relations among 'technology, organization, and territory'," Research Policy, Elsevier, vol. 35(2), pages 181-199, March.
    11. Gabriel Puron-Cid & J. Ramon Gil-Garcia, 2022. "Are Smart Cities Too Expensive in the Long Term? Analyzing the Effects of ICT Infrastructure on Municipal Financial Sustainability," Sustainability, MDPI, vol. 14(10), pages 1-23, May.
    12. Pedro Valadas Monteiro & Teresa de Noronha & Paulo Neto, 2012. "The Idiosyncratic Nature Of Maritime Clusters:Considerations For Their Possible Differentiation," Portuguese Journal of Management Studies, ISEG, Universidade de Lisboa, vol. 0(1), pages 7-38.
    13. Inga Ivanova, 2014. "Quadruple Helix Systems and Symmetry: a Step Towards Helix Innovation System Classification," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 5(2), pages 357-369, June.

  202. Caroline S. Wagner & Loet Leydesdorff, 2003. "Seismology as a dynamic, distributed area of scientific research," Scientometrics, Springer;Akadémiai Kiadó, vol. 58(1), pages 91-114, September.

    Cited by:

    1. Julia Melkers & Agrita Kiopa, 2010. "The Social Capital of Global Ties in Science: The Added Value of International Collaboration," Review of Policy Research, Policy Studies Organization, vol. 27(4), pages 389-414, July.
    2. Neil C. Mitchell, 2020. "Comparing the post-WWII publication histories of oceanography and marine geoscience," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 843-866, August.
    3. Mario Coccia, 2020. "The evolution of scientific disciplines in applied sciences: dynamics and empirical properties of experimental physics," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 451-487, July.

  203. Leydesdorff, Loet & Cooke, Philip & Olazaran, Mikel, 2002. "Technology Transfer in European Regions: Introduction to the Special Issue," The Journal of Technology Transfer, Springer, vol. 27(1), pages 5-13, January.

    Cited by:

    1. Caruso, R. & Palano, D., 2005. "Regioni e Territori nello Spazio Europeo della Ricerca," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 5(1).

  204. Loet Leydesdorff, 2002. "Indicators of structural change in the dynamics of science: Entropy statistics of the SCI Journal Citation Reports," Scientometrics, Springer;Akadémiai Kiadó, vol. 53(1), pages 131-159, January.

    Cited by:

    1. Pedro Cosme Vieira & Aurora A.C. Teixeira, 2006. "Are Finance, Management, and Marketing Autonomous Fields of Scientific Research? An Analysis Based on Journal Citations," FEP Working Papers 233, Universidade do Porto, Faculdade de Economia do Porto.
    2. Chiara Franzoni & Christopher L. Simpkins & Baoli Li & Ashwin Ram, 2010. "Using content analysis to investigate the research paths chosen by scientists over time," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(1), pages 321-335, April.
    3. Aurora A.C. Teixeira, 2011. "Mapping the (In)visible College(s) in the Field of Entrepreneurship," FEP Working Papers 416, Universidade do Porto, Faculdade de Economia do Porto.
    4. Martina Fromhold-Eisebith & Claudia Werker, 2013. "Universities’ functions in knowledge transfer: a geographical perspective," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 51(3), pages 621-643, December.
    5. Nazim Choudhury & Shahadat Uddin, 2016. "Time-aware link prediction to explore network effects on temporal knowledge evolution," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(2), pages 745-776, August.
    6. Derek R. Smith, 2012. "Impact factors, scientometrics and the history of citation-based research," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(2), pages 419-427, August.
    7. Yi Zhang & Yue Qian & Ying Huang & Ying Guo & Guangquan Zhang & Jie Lu, 2017. "An entropy-based indicator system for measuring the potential of patents in technological innovation: rejecting moderation," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1925-1946, June.
    8. Bar-Ilan, Judit, 2008. "Informetrics at the beginning of the 21st century—A review," Journal of Informetrics, Elsevier, vol. 2(1), pages 1-52.

  205. Loet Leydesdorff, 2002. "Dynamic and evolutionary updates of classificatory schemes in scientific journal structures," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 53(12), pages 987-994, October.

    Cited by:

    1. Lin Zhang & Frizo Janssens & Liming Liang & Wolfgang Glänzel, 2010. "Journal cross-citation analysis for validation and improvement of journal-based subject classification in bibliometric research," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(3), pages 687-706, March.
    2. Leydesdorff, Loet & Bornmann, Lutz & Zhou, Ping, 2016. "Construction of a pragmatic base line for journal classifications and maps based on aggregated journal-journal citation relations," Journal of Informetrics, Elsevier, vol. 10(4), pages 902-918.
    3. Loet Leydesdorff, 2007. "Environment and Planning B: Planning and Design as a Journal: The Interdisciplinarity of its Environment and the Citation Impact," Environment and Planning B, , vol. 34(5), pages 826-838, October.
    4. Jesper W. Schneider & Thed Leeuwen & Martijn Visser & Kaare Aagaard, 2019. "Examining national citation impact by comparing developments in a fixed and a dynamic journal set," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 973-985, May.
    5. Loet Leydesdorff & Ping Zhou, 2007. "Nanotechnology as a field of science: Its delineation in terms of journals and patents," Scientometrics, Springer;Akadémiai Kiadó, vol. 70(3), pages 693-713, March.
    6. Antonio J. Gómez-Núñez & Benjamín Vargas-Quesada & Félix Moya-Anegón & Wolfgang Glänzel, 2011. "Improving SCImago Journal & Country Rank (SJR) subject classification through reference analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(3), pages 741-758, December.
    7. Jing Zhang & Xiaomin Liu & Lili Wu, 2016. "The study of subject-classification based on journal coupling and expert subject-classification system," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(3), pages 1149-1170, June.
    8. Loet Leydesdorff, 2004. "Top-down decomposition of the Journal Citation Reportof the Social Science Citation Index: Graph- and factor-analytical approaches," Scientometrics, Springer;Akadémiai Kiadó, vol. 60(2), pages 159-180, June.
    9. Loet Leydesdorff, 2012. "Alternatives to the journal impact factor: I3 and the top-10% (or top-25%?) of the most-highly cited papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(2), pages 355-365, August.
    10. Bar-Ilan, Judit, 2008. "Informetrics at the beginning of the 21st century—A review," Journal of Informetrics, Elsevier, vol. 2(1), pages 1-52.

  206. Loet Leydesdorff & Gaston Heimeriks, 2001. "The self‐organization of the European Information Society: The case of “biotechnology”," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 52(14), pages 1262-1274.

    Cited by:

    1. María Pinto & Rosaura Fernández-Pascual & David Caballero-Mariscal & Dora Sales, 2020. "Information literacy trends in higher education (2006–2019): visualizing the emerging field of mobile information literacy," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1479-1510, August.
    2. Romero Goyeneche, Oscar Yandy & Ramirez, Matias & Schot, Johan & Arroyave, Felber, 2022. "Mobilizing the transformative power of research for achieving the Sustainable Development Goals," Research Policy, Elsevier, vol. 51(10).
    3. Thabang Lazarus Bambo & Anastassios Pouris, 2020. "Bibliometric analysis of bioeconomy research in South Africa," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 29-51, October.

  207. Marta Riba Vilanova & Loet Leydesdorff, 2001. "Why Catalonia cannot be considered as a regional innovation system," Scientometrics, Springer;Akadémiai Kiadó, vol. 50(2), pages 215-240, February.

    Cited by:

    1. Jon Mikel Zabala-Iturriagagoitia & Fernando Jiménez-Sáez & Elena Castro-Martínez & Antonio Gutiérrez-Gracia, 2007. "What indicators do (or do not) tell us about Regional Innovation Systems," Scientometrics, Springer;Akadémiai Kiadó, vol. 70(1), pages 85-106, January.
    2. Loet Leydesdorff & Igone Porto-Gomez, 2019. "Measuring the expected synergy in Spanish regional and national systems of innovation," The Journal of Technology Transfer, Springer, vol. 44(1), pages 189-209, February.
    3. Elvira Uyarra, 2010. "What is evolutionary about ‘regional systems of innovation’? Implications for regional policy," Journal of Evolutionary Economics, Springer, vol. 20(1), pages 115-137, January.
    4. Li, Yin & Arora, Sanjay & Youtie, Jan & Shapira, Philip, 2018. "Using web mining to explore Triple Helix influences on growth in small and mid-size firms," Technovation, Elsevier, vol. 76, pages 3-14.
    5. Loet Leydesdorff & Martin Meyer, 2007. "The scientometrics of a Triple Helix of university-industry-government relations (Introduction to the topical issue)," Scientometrics, Springer;Akadémiai Kiadó, vol. 70(2), pages 207-222, February.
    6. Loet Leydesdorff, 2003. "The mutual information of university-industry-government relations: An indicator of the Triple Helix dynamics," Scientometrics, Springer;Akadémiai Kiadó, vol. 58(2), pages 445-467, October.
    7. Martin Meyer & Kevin Grant & Piera Morlacchi & Dagmara Weckowska, 2014. "Triple Helix indicators as an emergent area of enquiry: a bibliometric perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 151-174, April.
    8. Jorge Bateira, 2005. "Innovation Systems - Do they exist? Exploring Luhmanns thinking," ERSA conference papers ersa05p374, European Regional Science Association.
    9. Adelheid Holl & Ruth Rama, 2015. "Economic crisis and innovation: Do regions matter?," ERSA conference papers ersa15p87, European Regional Science Association.
    10. Thanos Fragkandreas, 2023. "Case study research on innovation systems: paradox, dialectical analysis and resolution," Working Papers 65, Birkbeck Centre for Innovation Management Research, revised 15 May 2023.
    11. Zabala, Jon Mikel & Hannemann, Tina, 2009. "Product Development Decisions: An empirical approach to Krishnan and Ulrich," Papers in Innovation Studies 2009/9, Lund University, CIRCLE - Centre for Innovation Research.

  208. Loet Leydesdorff, 2001. "Technology and Culture: the Dissemination and the Potential 'Lock-In' of New Technologies," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 4(3), pages 1-5.

    Cited by:

    1. Kazuya Yamamoto, 2015. "Mobilization, Flexibility of Identity, and Ethnic Cleavage," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 18(2), pages 1-8.
    2. Ma, Tieju & Nakamori, Yoshiteru, 2005. "Agent-based modeling on technological innovation as an evolutionary process," European Journal of Operational Research, Elsevier, vol. 166(3), pages 741-755, November.
    3. Loet Leydesdorff, 2015. "Can intellectual processes in the sciences also be simulated? The anticipation and visualization of possible future states," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 2197-2214, December.
    4. Juan Carlos González-Avella & Mario G. Cosenza & Konstantin Klemm & Víctor M. Eguíluz & Maxi San Miguel, 2007. "Information Feedback and Mass Media Effects in Cultural Dynamics," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 10(3), pages 1-9.
    5. Marc R.H. Roedenbeck & Barnas Nothnagel, 2007. "Rethinking Lock-in and Locking: Adopters Facing Network Effects," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 11(1), pages 1-4.
    6. Yaofeng Zhang & Renbin Xiao, 2015. "Modeling and Simulation of Polarization in Internet Group Opinions Based on Cellular Automata," Discrete Dynamics in Nature and Society, Hindawi, vol. 2015, pages 1-15, August.
    7. Rossi, Federica, 2002. "An introductory overview of innovation studies," MPRA Paper 9106, University Library of Munich, Germany, revised Jun 2008.
    8. Luis R. Izquierdo & Segismundo S. Izquierdo & José Manuel Galán & José Ignacio Santos, 2009. "Techniques to Understand Computer Simulations: Markov Chain Analysis," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 12(1), pages 1-6.
    9. Hung, Shih-Chang & Tu, Min-Fen, 2014. "Is small actually big? The chaos of technological change," Research Policy, Elsevier, vol. 43(7), pages 1227-1238.

  209. Loet Leydesdorff, 2000. "Is the European Union Becoming a Single Publication System?," Scientometrics, Springer;Akadémiai Kiadó, vol. 47(2), pages 265-280, February.

    Cited by:

    1. Leydesdorff, Loet & Fritsch, Michael, 2006. "Measuring the knowledge base of regional innovation systems in Germany in terms of a Triple Helix dynamics," Research Policy, Elsevier, vol. 35(10), pages 1538-1553, December.
    2. Xiaozan Lyu & Ping Zhou & Loet Leydesdorff, 2020. "Eco-system mapping of techno-science linkages at the level of scholarly journals and fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2037-2055, September.
    3. Leydesdorff, Loet & Wagner, Caroline, 2009. "Macro-level indicators of the relations between research funding and research output," Journal of Informetrics, Elsevier, vol. 3(4), pages 353-362.
    4. Zhou, Ping & Leydesdorff, Loet, 2006. "The emergence of China as a leading nation in science," Research Policy, Elsevier, vol. 35(1), pages 83-104, February.
    5. Marta Riba Vilanova & Loet Leydesdorff, 2001. "Why Catalonia cannot be considered as a regional innovation system," Scientometrics, Springer;Akadémiai Kiadó, vol. 50(2), pages 215-240, February.
    6. Lu, Kun & Wolfram, Dietmar, 2010. "Geographic characteristics of the growth of informetrics literature 1987–2008," Journal of Informetrics, Elsevier, vol. 4(4), pages 591-601.
    7. Leydesdorff, Loet & Wagner, Caroline S., 2008. "International collaboration in science and the formation of a core group," Journal of Informetrics, Elsevier, vol. 2(4), pages 317-325.
    8. Mickael Benaim & Jean-Alain Héraud & Valérie Mérindol & Jean-Paul Villette, 2014. "Scientific connectivity of European regions: towards a typology of cooperative schèmes," Working Papers of BETA 2014-13, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    9. Furong Jin & Keun Lee & Yee‐Kyoung Kim, 2008. "Changing Engines of Growth in China: From Exports, FDI and Marketization to Innovation and Exports," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 16(2), pages 31-49, March.
    10. Pauline Mattsson & Patrice Laget & Anna Nilsson & Carl-Johan Sundberg, 2008. "Intra-EU vs. extra-EU scientific co-publication patterns in EU," Scientometrics, Springer;Akadémiai Kiadó, vol. 75(3), pages 555-574, June.
    11. Loet Leydesdorff, 2013. "Statistics for the dynamic analysis of scientometric data: the evolution of the sciences in terms of trajectories and regimes," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(3), pages 731-741, September.
    12. Han-Wen Chang & Mu-Hsuan Huang, 2013. "Prominent institutions in international collaboration network in astronomy and astrophysics," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(2), pages 443-460, November.
    13. Bar-Ilan, Judit, 2008. "Informetrics at the beginning of the 21st century—A review," Journal of Informetrics, Elsevier, vol. 2(1), pages 1-52.

  210. Etzkowitz, Henry & Leydesdorff, Loet, 2000. "The dynamics of innovation: from National Systems and "Mode 2" to a Triple Helix of university-industry-government relations," Research Policy, Elsevier, vol. 29(2), pages 109-123, February.

    Cited by:

    1. Elias Carayannis & David Campbell, 2011. "Open Innovation Diplomacy and a 21st Century Fractal Research, Education and Innovation (FREIE) Ecosystem: Building on the Quadruple and Quintuple Helix Innovation Concepts and the “Mode 3” Knowledge ," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 2(3), pages 327-372, September.
    2. Brökel, Heike & Broekel, Tom, 2023. "Collaboration and SDG-related research at the University of Stavanger," MPRA Paper 120005, University Library of Munich, Germany.
    3. Krieger, Bastian, 2024. "Heterogeneous university funding programs and regional firm innovation," Research Policy, Elsevier, vol. 53(5).
    4. Eija-Riita Niinikoski & Laura Kelhä & Ville Isoherranen, 2017. "The European Cohesion Policy and Structural Funds in Sparsely Populated Areas: A Case Study of the University of Oulu," International Journal of Management, Knowledge and Learning, International School for Social and Business Studies, Celje, Slovenia, vol. 6(1), pages 77-96.
    5. Anja Schoen & Dominik Heinisch & Guido Buenstorf, 2014. "Playing the ‘Name Game’ to identify academic patents in Germany," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 527-545, October.
    6. Yoon, Junghyun & Lee, Hee Yong & Dinwoodie, John, 2015. "Competitiveness of container terminal operating companies in South Korea and the industry–university–government network," Transportation Research Part A: Policy and Practice, Elsevier, vol. 80(C), pages 1-14.
    7. Abbate, Tindara & Cesaroni, Fabrizio, 2014. "Market orientation and academic spin-off firms," IC3JM - Estudios = Working Papers id-14-01, Instituto Mixto Carlos III - Juan March de Ciencias Sociales (IC3JM).
    8. Zuti, Bence, 2014. "Modern-day Universities and Regional Development," MPRA Paper 77577, University Library of Munich, Germany.
    9. Xia Gao & Xi Guo & Jiancheng Guan, 2014. "An analysis of the patenting activities and collaboration among industry-university-research institutes in the Chinese ICT sector," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(1), pages 247-263, January.
    10. Marius Băban & Călin Florin Băban & Tudor Mitran, 2023. "Universities as an External Knowledge Source for Industry: Investigating the Antecedents’ Impact on the Importance Perception of Their Collaboration in Open Innovation Using an Ordinal Regression-Neur," Mathematics, MDPI, vol. 11(7), pages 1-23, March.
    11. Pierre-Alexandre Balland & Ron Boschma, 2021. "Do scientific capabilities in specific domains matter for technological diversification in European regions?," Papers in Evolutionary Economic Geography (PEEG) 2116, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised May 2021.
    12. Mario Coccia, 2003. "Scale Of Technology Magnitude For Measuring The Spatial Attract Of Technology Transfer," CERIS Working Paper 200304, CNR-IRCrES Research Institute on Sustainable Economic Growth - Torino (TO) ITALY - former Institute for Economic Research on Firms and Growth - Moncalieri (TO) ITALY.
    13. Bastien Bernela, 2015. "Professional and geographical paths: the study of three generations of PhDs [Trajectoires professionnelles et géographiques : l'étude de trois générations de docteurs]," Working Papers halshs-01085008, HAL.
    14. Edurne Magro Montero & Mari Jose Aranguren & Mikel Navarro, 2011. "Smart Specialisation Strategies: The Case of the Basque Country," Working Papers 2011R07, Orkestra - Basque Institute of Competitiveness.
    15. Kwon, Seokbeom & Motohashi, Kazuyuki, 2017. "How institutional arrangements in the National Innovation System affect industrial competitiveness: A study of Japan and the U.S. with multiagent simulation," Technological Forecasting and Social Change, Elsevier, vol. 115(C), pages 221-235.
    16. Ben Zhang & Xiaohong Wang, 2017. "Empirical study on influence of university-industry collaboration on research performance and moderating effect of social capital: evidence from engineering academics in China," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(1), pages 257-277, October.
    17. Ciapetti Lorenzo, 2009. "Universities as Embedded Knowledge Hubs and the Challenge of Local Development the Us Lessons and the Italian Case," European Spatial Research and Policy, Sciendo, vol. 16(2), pages 5-22, December.
    18. Gary H. Jefferson & Renai Jiang & Lintong Li & Sam Zucker, 2017. "The role of research and ownership collaboration in generating patent quality: China-U.S comparisons," Working Papers 117, Brandeis University, Department of Economics and International Business School.
    19. Néstor Duch-Brown & Martí Parellada-Sabata & Jose Polo-Otero, 2010. "Economies of scale and scope of university research and technology transfer: a flexible multi-product approach," Working Papers 2010/51, Institut d'Economia de Barcelona (IEB).
    20. Kotsemir, Maxim & Abroskin, Alexander & Meisner, Dirk, 2017. "Innovation Concepts and Typology – An Evolutionary Discussion," OSF Preprints ruyp3, Center for Open Science.
    21. Agnieszka Kuś & Dorota Grego-Planer, 2021. "A Model of Innovation Activity in Small Enterprises in the Context of Selected Financial Factors: The Example of the Renewable Energy Sector," Energies, MDPI, vol. 14(10), pages 1-17, May.
    22. Tatiana A. Meshkova & Evgenii IA. Moiseichev, 2016. "Russia’s experience of foresight implementation in global value chain research," Journal of Innovation and Entrepreneurship, Springer, vol. 5(1), pages 1-35, December.
    23. Diego Damásio Lima & Daniel Pacheco Lacerda & Miguel Afonso Sellitto, 2017. "Systemic Analysis of the Brazilian Production Chain of Semiconductors: Graphic Representation and Leverage Points," Systemic Practice and Action Research, Springer, vol. 30(3), pages 295-316, June.
    24. Jon Mikel Zabala-Iturriagagoitia & Fernando Jiménez-Sáez & Elena Castro-Martínez & Antonio Gutiérrez-Gracia, 2007. "What indicators do (or do not) tell us about Regional Innovation Systems," Scientometrics, Springer;Akadémiai Kiadó, vol. 70(1), pages 85-106, January.
    25. Hiroyuki Okamuro & Junichi Nishimura, 2020. "What Shapes Local Innovation Policies? Empirical Evidence from Japanese Cities," Administrative Sciences, MDPI, vol. 10(1), pages 1-22, February.
    26. Antonelli, Cristiano & Patrucco, Pier Paolo & Rossi, Federica, 2008. "The economics of knowledge interaction and the changing role of universities," Department of Economics and Statistics Cognetti de Martiis LEI & BRICK - Laboratory of Economics of Innovation "Franco Momigliano", Bureau of Research in Innovation, Complexity and Knowledge, Collegio 200802, University of Turin.
    27. Schuetzenmeister, Falk, 2010. "University Research Management: An Exploratory Literature Review," Institute of European Studies, Working Paper Series qt77p3j2hr, Institute of European Studies, UC Berkeley.
    28. Reis, Anabela & Heitor, Manuel & Amaral, Miguel & Mendonça, Joana, 2016. "Revisiting industrial policy: Lessons learned from the establishment of an automotive OEM in Portugal," Technological Forecasting and Social Change, Elsevier, vol. 113(PB), pages 195-205.
    29. Roberto Iorio & Sandrine Labory & Francesco Rentocchini, 2014. "Academics’ Motivations and Depth and Breadth of Knowledge Transfer Activities," Working Papers 1401, c.MET-05 - Centro Interuniversitario di Economia Applicata alle Politiche per L'industria, lo Sviluppo locale e l'Internazionalizzazione.
    30. Su, Hsin-Ning & Moaniba, Igam M., 2017. "Investigating the dynamics of interdisciplinary evolution in technology developments," Technological Forecasting and Social Change, Elsevier, vol. 122(C), pages 12-23.
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    Cited by:

    1. Jeffrey W. Alstete & John P. Meyer, 2010. "Structuring Innovation in the Knowledge Management Platform: Perceptions and Practices," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 9(01), pages 1-14.

  212. Leydesdorff, Loet, 2000. "The triple helix: an evolutionary model of innovations," Research Policy, Elsevier, vol. 29(2), pages 243-255, February.

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    4. Kyungbo Park & Jeonghwa Cha & Jongyi Hong, 2023. "Developing a Framework for Evaluating and Predicting Management Innovation in Public Research Institutions," Sustainability, MDPI, vol. 15(9), pages 1-18, April.
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    7. Anna Arent & Matylda Bojar & Nelson Duarte & Francisco Diniz, 2015. "The role of SMEs in sustainable regional development and local business integration: The case of Lublin region (Poland)," ERSA conference papers ersa15p611, European Regional Science Association.
    8. Nick Clifton & Robyn Keast & David Pickernell & Martyn Senior, 2010. "Network Structure, Knowledge Governance, and Firm Performance: Evidence from Innovation Networks and SMEs in the UK," Growth and Change, Wiley Blackwell, vol. 41(3), pages 337-373, September.
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    50. Ivanova, Inga A. & Leydesdorff, Loet, 2014. "Rotational symmetry and the transformation of innovation systems in a Triple Helix of university–industry–government relations," Technological Forecasting and Social Change, Elsevier, vol. 86(C), pages 143-156.
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    56. Zhao, S.L. & Cacciolatti, L. & Lee, S.H. & Song, W., 2015. "Regional collaborations and indigenous innovation capabilities in China: A multivariate method for the analysis of regional innovation systems," Technological Forecasting and Social Change, Elsevier, vol. 94(C), pages 202-220.
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    1. Wilson, Charlie, 2012. "Up-scaling, formative phases, and learning in the historical diffusion of energy technologies," Energy Policy, Elsevier, vol. 50(C), pages 81-94.
    2. Giovanni Dosi & Xiaodan Yu, 2018. "Capabilities Accumulation and Development: What History Tells the Theory," LEM Papers Series 2018/27, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    3. Silverberg, G. & Verspagen, B., 2003. "Brewing the future: stylized facts about innovation and their confrontation with a percolation model," Working Papers 03.06, Eindhoven Center for Innovation Studies.
    4. Mulotte, L., 2013. "Do experience effects vary across governance modes? Evidence from new product introduction in the global aerospace industry, 1948–2000," Other publications TiSEM 2c79d4d6-2b71-4160-9781-f, Tilburg University, School of Economics and Management.
    5. Junmo Kim & Juneseuk Shin, 2018. "Mapping extended technological trajectories: integration of main path, derivative paths, and technology junctures," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(3), pages 1439-1459, September.
    6. Gerald Silverberg & Bart Verspagen, 2007. "Self-organization of R&D search in complex technology spaces," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 2(2), pages 211-229, December.
    7. Martinelli, Arianna, 2012. "An emerging paradigm or just another trajectory? Understanding the nature of technological changes using engineering heuristics in the telecommunications switching industry," Research Policy, Elsevier, vol. 41(2), pages 414-429.
    8. Louis Mulotte, 2014. "Do Experience Effects Vary Across Governance Modes? Evidence from New Product Introduction in the Global Aircraft Industry, 1948–2000," Organization Science, INFORMS, vol. 25(3), pages 757-775, June.
    9. Marta Riba Vilanova & Loet Leydesdorff, 2001. "Why Catalonia cannot be considered as a regional innovation system," Scientometrics, Springer;Akadémiai Kiadó, vol. 50(2), pages 215-240, February.
    10. Päivi Oinas & Edward J. Malecki, 2002. "The Evolution of Technologies in Time and Space: From National and Regional to Spatial Innovation Systems," International Regional Science Review, , vol. 25(1), pages 102-131, January.
    11. Loet Leydesdorff & Martin Meyer, 2003. "The Triple Helix of university-industry-government relations," Scientometrics, Springer;Akadémiai Kiadó, vol. 58(2), pages 191-203, October.
    12. Jha, Pushkar. P. & Lampel, Joseph, 2014. "Performance feedback, competitive repertoire simplicity, and technological evolution in a televised design contest," Research Policy, Elsevier, vol. 43(2), pages 403-413.
    13. Giovanni Dosi & Richard Nelson, 2013. "The Evolution of Technologies: An Assessment of the State-of-the-Art," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 3(1), pages 3-46, June.
    14. van Rijnsoever, Frank J. & van den Berg, Jesse & Koch, Joost & Hekkert, Marko P., 2015. "Smart innovation policy: How network position and project composition affect the diversity of an emerging technology," Research Policy, Elsevier, vol. 44(5), pages 1094-1107.
    15. Dosi, Giovanni & Nelson, Richard R., 2010. "Technical Change and Industrial Dynamics as Evolutionary Processes," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 1, chapter 0, pages 51-127, Elsevier.
    16. Charlotte R. Ren & Louis Mulotte & Pierre Dussauge & Jaideep Anand, 2022. "Alliance performance and subsequent make‐or‐ally choices: Evidence from the aircraft manufacturing industry," Strategic Management Journal, Wiley Blackwell, vol. 43(11), pages 2382-2413, November.
    17. Lehrer, Mark & Banerjee, Preeta M. & Wang, I. Kim, 2017. "When the sky is the limit on scale: From temporal to multiplicative scaling in process-based technologies," Technological Forecasting and Social Change, Elsevier, vol. 117(C), pages 151-159.
    18. Bento, Nuno & Fontes, Margarida, 2019. "Emergence of floating offshore wind energy: Technology and industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 99(C), pages 66-82.
    19. Lucio-Arias, Diana & Leydesdorff, Loet, 2009. "The dynamics of exchanges and references among scientific texts, and the autopoiesis of discursive knowledge," Journal of Informetrics, Elsevier, vol. 3(3), pages 261-271.
    20. Leydesdorff, Loet & Bornmann, Lutz, 2021. "Disruption indices and their calculation using web-of-science data: Indicators of historical developments or evolutionary dynamics?," Journal of Informetrics, Elsevier, vol. 15(4).
    21. Loet Leydesdorff & Caroline S. Wagner & Lutz Bornmann, 2018. "Discontinuities in citation relations among journals: self-organized criticality as a model of scientific revolutions and change," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 623-644, July.
    22. Charlie Wilson & Arnulf Grubler, 2011. "Lessons from the history of technological change for clean energy scenarios and policies," Natural Resources Forum, Blackwell Publishing, vol. 35(3), pages 165-184, August.
    23. Jaideep Anand & Louis Mulotte & Charlotte R. Ren, 2016. "Does experience imply learning?," Strategic Management Journal, Wiley Blackwell, vol. 37(7), pages 1395-1412, July.
    24. Loet Leydesdorff, 2002. "Indicators of structural change in the dynamics of science: Entropy statistics of the SCI Journal Citation Reports," Scientometrics, Springer;Akadémiai Kiadó, vol. 53(1), pages 131-159, January.
    25. Vertesy, D., 2014. "Successive leadership changes in the regional jet industry," MERIT Working Papers 2014-046, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    26. Loet Leydesdorff, 2015. "Can technology life-cycles be indicated by diversity in patent classifications? The crucial role of variety," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1441-1451, December.
    27. Guffarth, Daniel & Barber, Michael J., 2014. "Network evolution, success, and regional development in the European aerospace industry," FZID Discussion Papers 96-2014, University of Hohenheim, Center for Research on Innovation and Services (FZID).
    28. Ljubica Nedelkoska, 2010. "Occupations at risk: The task content and job stability," Jena Economics Research Papers 2010-024, Friedrich-Schiller-University Jena.
    29. Malhotra, Abhishek & Zhang, Huiting & Beuse, Martin & Schmidt, Tobias, 2021. "How do new use environments influence a technology's knowledge trajectory? A patent citation network analysis of lithium-ion battery technology," Research Policy, Elsevier, vol. 50(9).
    30. Vértesy, Dániel, 2017. "Preconditions, windows of opportunity and innovation strategies: Successive leadership changes in the regional jet industry," Research Policy, Elsevier, vol. 46(2), pages 388-403.
    31. Stepanić Josip & Kasać Josip & Merkač Marjana, 2014. "A Contribution to Considerations of the Role of Embedded Systems," Business Systems Research, Sciendo, vol. 5(1), pages 47-56, March.
    32. van Rijnsoever, Frank J. & Farla, Jacco C.M., 2014. "Identifying and explaining public preferences for the attributes of energy technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 31(C), pages 71-82.
    33. Hwang, Seonho & Shin, Juneseuk, 2019. "Extending technological trajectories to latest technological changes by overcoming time lags," Technological Forecasting and Social Change, Elsevier, vol. 143(C), pages 142-153.
    34. Guffarth, Daniel & Barber, Michael J., 2013. "The European aerospace R&D collaboration network," FZID Discussion Papers 84-2013, University of Hohenheim, Center for Research on Innovation and Services (FZID).

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    1. Staša Milojević, 2012. "How Are Academic Age, Productivity and Collaboration Related to Citing Behavior of Researchers?," PLOS ONE, Public Library of Science, vol. 7(11), pages 1-13, November.
    2. Jochen Gläser & Grit Laudel, 2001. "Integrating Scientometric Indicators into Sociological Studies: Methodical and Methodological Problems," Scientometrics, Springer;Akadémiai Kiadó, vol. 52(3), pages 411-434, November.
    3. Louis Y. Y. Lu & John S. Liu, 2013. "An innovative approach to identify the knowledge diffusion path: the case of resource-based theory," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(1), pages 225-246, January.

  215. Loet Leydesdorff & Henry Etzkowitz, 1998. "The Triple Helix as a model for innovation studies," Science and Public Policy, Oxford University Press, vol. 25(3), pages 195-203, June.

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    1. Juan Carlos Salazar-Elena & M. Paloma Sánchez & F. Javier Otamendi, 2016. "A Non-Parametric Delphi Approach to Foster Innovation Policy Debate in Spain," Sustainability, MDPI, vol. 8(5), pages 1-26, May.
    2. Daniele Ietri, 2010. "A City Loses its Major Industry – What Does it Do? The Case of Turin," Chapters, in: Peter Karl Kresl (ed.), Economic Strategies for Mature Industrial Economies, chapter 8, Edward Elgar Publishing.
    3. Werle, Raymund, 2011. "Institutional analysis of technical innovation: A review," Research Contributions to Organizational Sociology and Innovation Studies, SOI Discussion Papers 2011-04, University of Stuttgart, Institute for Social Sciences, Department of Organizational Sociology and Innovation Studies.
    4. Atiase, Victor Yawo & Kolade, Oluwaseun & Liedong, Tahiru Azaaviele, 2020. "The emergence and strategy of tech hubs in Africa: Implications for knowledge production and value creation," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    5. Petr Pavlínek, 2012. "The Internationalization of Corporate R&D and the Automotive Industry R&D of East-Central Europe," Economic Geography, Clark University, vol. 88(3), pages 279-310, July.
    6. Mirna Leko Šimić & Ekta Sharma & Željka Kadlec, 2022. "Students’ Perceptions and Attitudes toward University Social Responsibility: Comparison between India and Croatia," Sustainability, MDPI, vol. 14(21), pages 1-14, October.
    7. Jonbekova, Dilrabo & Sparks, Jason & Hartley, Matthew & Kuchumova, Gulfiya, 2020. "Development of university–industry partnerships in Kazakhstan: Innovation under constraint," International Journal of Educational Development, Elsevier, vol. 79(C).
    8. Crescenzi, Riccardo & Nathan, Max & Rodríguez-Pose, Andrés, 2016. "Do inventors talk to strangers? On proximity and collaborative knowledge creation," Research Policy, Elsevier, vol. 45(1), pages 177-194.
    9. Jong-Hyun Kim & Yong-Gil Lee, 2021. "Factors of Collaboration Affecting the Performance of Alternative Energy Patents in South Korea from 2010 to 2017," Sustainability, MDPI, vol. 13(18), pages 1-25, September.
    10. Elias G. Carayannis & David F. J. Campbell & Evangelos Grigoroudis, 2022. "Helix Trilogy: the Triple, Quadruple, and Quintuple Innovation Helices from a Theory, Policy, and Practice Set of Perspectives," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(3), pages 2272-2301, September.
    11. Yuzhuo Cai & Borja Ramis Ferrer & Jose Luis Martinez Lastra, 2019. "Building University-Industry Co-Innovation Networks in Transnational Innovation Ecosystems: Towards a Transdisciplinary Approach of Integrating Social Sciences and Artificial Intelligence," Sustainability, MDPI, vol. 11(17), pages 1-23, August.
    12. Loet Leydesdorff, 2000. "Is the European Union Becoming a Single Publication System?," Scientometrics, Springer;Akadémiai Kiadó, vol. 47(2), pages 265-280, February.
    13. Nick Clifton & Robyn Keast & David Pickernell & Martyn Senior, 2010. "Network Structure, Knowledge Governance, and Firm Performance: Evidence from Innovation Networks and SMEs in the UK," Growth and Change, Wiley Blackwell, vol. 41(3), pages 337-373, September.
    14. Schillaci Carmela Elita & Romano Marco & Nicotra Melita, 2013. "Territory’s Absorptive Capacity," Entrepreneurship Research Journal, De Gruyter, vol. 3(1), pages 109-126, January.
    15. Rodriguez, Victor & Janssens, Frizo & Debackere, Koenraad & De Moor, Bart, 2008. "On material transfer agreements and visibility of researchers in biotechnology," Journal of Informetrics, Elsevier, vol. 2(1), pages 89-100.
    16. Pravee Kruachottikul & Pinnaree Tea-makorn & Poomsiri Dumrongvute & Solaphat Hemrungrojn & Natawut Nupairoj & Ornsiree Junchaya & Sukrit Vinayavekhin, 2024. "MediGate: a MedTech product innovation development process from university research to successful commercialization within emerging markets," Journal of Innovation and Entrepreneurship, Springer, vol. 13(1), pages 1-43, December.
    17. Yigitcanlar, Tan & Sabatini-Marques, Jamile & da-Costa, Eduardo Moreira & Kamruzzaman, Md & Ioppolo, Giuseppe, 2019. "Stimulating technological innovation through incentives: Perceptions of Australian and Brazilian firms," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 403-412.
    18. Baycan, Tüzin & Sahin, Mediha & Nijkamp, Peter, 2012. "The urban growth potential of second-generation migrant entrepreneurs: A sectoral study on Amsterdam," International Business Review, Elsevier, vol. 21(6), pages 971-986.
    19. Tim Vorley & Jen Nelles, 2010. "Innovation Policy as Industrial Policy: Some Lessons from Hamburg's Regional Innovation System," Local Economy, London South Bank University, vol. 25(8), pages 631-649, December.
    20. Nicolas Battard & Paul F. Donnelly & Vincent Mangematin, 2012. "Integration of multiple stakeholders in scientific research : A sensemaking-sensegiving approach," Post-Print hal-01514751, HAL.
    21. Leydesdorff, Loet & Meyer, Martin, 2006. "Triple Helix indicators of knowledge-based innovation systems: Introduction to the special issue," Research Policy, Elsevier, vol. 35(10), pages 1441-1449, December.
    22. Quatraro, Francesco & Scandura, Alessandra, 2020. "Regional patterns of unrelated technological diversification: the role of academic inventors," Department of Economics and Statistics Cognetti de Martiis. Working Papers 202010, University of Turin.
    23. Alexis Habiyaremye, 2023. "Co-learning in university-community engagement for sustainable local food systems in South Africa," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-10, December.
    24. Cezary Główka, 2016. "Rozważania nad istotą klastrów," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 5, pages 91-113.
    25. Lengwiler, Martin, 2005. "Probleme anwendungsorientierter Forschung in den Sozialwissenschaften am Beispiel der Ausgründung choice," Discussion Papers, Research Unit: Innovation and Organization SP III 2005-101, WZB Berlin Social Science Center.
    26. Trischler, Jakob & Johnson, Mikael & Kristensson, Per, 2020. "A service ecosystem perspective on the diffusion of sustainability-oriented user innovations," Journal of Business Research, Elsevier, vol. 116(C), pages 552-560.
    27. Hewitt-Dundas, Nola & Roper, Stephen, 2011. "Creating advantage in peripheral regions: The role of publicly funded R&D centres," Research Policy, Elsevier, vol. 40(6), pages 832-841, July.
    28. Marta Riba Vilanova & Loet Leydesdorff, 2001. "Why Catalonia cannot be considered as a regional innovation system," Scientometrics, Springer;Akadémiai Kiadó, vol. 50(2), pages 215-240, February.
    29. Enrico Bonetti & Michele Simoni, 2017. "Introduction. New frontiers for competition: Outcomes from the 13th CIRCLE International conference," MERCATI & COMPETITIVIT?, FrancoAngeli Editore, vol. 2017(1), pages 15-27.
    30. Etzkowitz, Henry & Leydesdorff, Loet, 2000. "The dynamics of innovation: from National Systems and "Mode 2" to a Triple Helix of university-industry-government relations," Research Policy, Elsevier, vol. 29(2), pages 109-123, February.
    31. Carmela Elita Schillaci & Marco Romano & Melita Nicotra, 2012. "Science Parks and Entrepreneurship: Enhancing Territorial Absorptive Capacity in a Hostile Region," DSI Essays Series, DSI - Dipartimento di Studi sull'Impresa, vol. 28.
    32. Luengo, María Jesús & Obeso, María, 2013. "Efeito da hélice tríplice em desempenho de inovação," RAE - Revista de Administração de Empresas, FGV-EAESP Escola de Administração de Empresas de São Paulo (Brazil), vol. 53(4), July.
    33. Martina Gaisch & Daniela Noemeyer & Regina Aichinger, 2019. "Third Mission Activities at Austrian Universities of Applied Sciences: Results from an Expert Survey," Publications, MDPI, vol. 7(3), pages 1-14, August.
    34. Chaudhary, Sanjay & Kaur, Puneet & Ferraris, Alberto & Bresciani, Stefano & Dhir, Amandeep, 2024. "Connecting entrepreneurial ecosystem and innovation. Grasping at straws or hitting a home run?," Technovation, Elsevier, vol. 130(C).
    35. Wang, Yuandi & Sutherland, Dylan & Ning, Lutao & Pan, Xin, 2015. "The evolving nature of China's regional innovation systems: Insights from an exploration–exploitation approach," Technological Forecasting and Social Change, Elsevier, vol. 100(C), pages 140-152.
    36. Isamel Rafols & Martin Meyer, 2006. "Knowledge-sourcing strategies for cross-disciplinarity in bionanotechnology," SPRU Working Paper Series 152, SPRU - Science Policy Research Unit, University of Sussex Business School.
    37. Estabrooks, Carole A. & Norton, Peter & Birdsell, Judy M. & Newton, Mandi S. & Adewale, Adeniyi J. & Thornley, Richard, 2008. "Knowledge translation and research careers: Mode I and Mode II activity among health researchers," Research Policy, Elsevier, vol. 37(6-7), pages 1066-1078, July.
    38. Ardalan Haghighi Talab & Victor Scholten & Cees van Beers, 2020. "The Role of Universities in Inter-organizational Knowledge Collaborations," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 11(2), pages 458-478, June.
    39. Leydesdorff, Loet, 2000. "The triple helix: an evolutionary model of innovations," Research Policy, Elsevier, vol. 29(2), pages 243-255, February.
    40. Morris, Norma, 2000. "Vial bodies: conflicting interests in the move to new institutional relationships in biological medicines research and regulation," Research Policy, Elsevier, vol. 29(2), pages 149-167, February.
    41. Reischauer, Georg, 2018. "Industry 4.0 as policy-driven discourse to institutionalize innovation systems in manufacturing," Technological Forecasting and Social Change, Elsevier, vol. 132(C), pages 26-33.
    42. Sean Low & Livia Fritz & Chad M. Baum & Benjamin K. Sovacool, 2024. "Public perceptions on carbon removal from focus groups in 22 countries," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
    43. Elias G. Carayannis & David F. J. Campbell, 2021. "Democracy of Climate and Climate for Democracy: the Evolution of Quadruple and Quintuple Helix Innovation Systems," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 12(4), pages 2050-2082, December.
    44. Lee, Young Hoon & Kim, YoungJun, 2016. "Analyzing interaction in R&D networks using the Triple Helix method: Evidence from industrial R&D programs in Korean government," Technological Forecasting and Social Change, Elsevier, vol. 110(C), pages 93-105.
    45. Sujin Choi & Joshua Yang & Han Park, 2015. "Quantifying the Triple Helix relationship in scientific research: statistical analyses on the dividing pattern between developed and developing countries," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(4), pages 1381-1396, July.
    46. Todeva, Emanuela, 2013. "Governance of Innovation and Intermediation in Triple Helix Interactions," MPRA Paper 67612, University Library of Munich, Germany.
    47. Francesco Campanella & Maria Rosaria Della Peruta & Stefano Bresciani & Luca Dezi, 2017. "Quadruple Helix and firms’ performance: an empirical verification in Europe," The Journal of Technology Transfer, Springer, vol. 42(2), pages 267-284, April.
    48. Marialuisa Saviano & Fabiana Sciarelli & Azzurra Rinaldi & Georcelin G. Alowanou, 2019. "Healthcare and SDGs Governance in Light of the Sustainability Helix Model: Evidence from the African Continent," Sustainability, MDPI, vol. 11(4), pages 1-20, February.
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    50. Jiaming Jiang & Yu Zhao & Junshi Feng, 2022. "University–Industry Technology Transfer: Empirical Findings from Chinese Industrial Firms," Sustainability, MDPI, vol. 14(15), pages 1-18, August.
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    26. Yoon, Hyungseok & Yun, Sunyoung & Lee, Joosung & Phillips, Fred, 2015. "Entrepreneurship in East Asian Regional Innovation Systems: Role of social capital," Technological Forecasting and Social Change, Elsevier, vol. 100(C), pages 83-95.
    27. Hideaki Sakawa & Naoki Watanabel, 2021. "Family Control and Corporate Innovation in Stakeholder-Oriented Corporate Governance," Sustainability, MDPI, vol. 13(9), pages 1-13, April.
    28. Elisa Thomas & Kadigia Faccin & Bjørn Terje Asheim, 2021. "Universities as orchestrators of the development of regional innovation ecosystems in emerging economies," Growth and Change, Wiley Blackwell, vol. 52(2), pages 770-789, June.
    29. Daniela Bragoli & Flavia Cortelezzi & Massimiliano Rigon, 2023. "Firms' innovation and university cooperation. New evidence from a survey of Italian firms," Temi di discussione (Economic working papers) 1400, Bank of Italy, Economic Research and International Relations Area.
    30. Van Looy, Bart & Ranga, Marina & Callaert, Julie & Debackere, Koenraad & Zimmermann, Edwin, 2004. "Combining entrepreneurial and scientific performance in academia: towards a compounded and reciprocal Matthew-effect?," Research Policy, Elsevier, vol. 33(3), pages 425-441, April.
    31. Klitkou, Antje & Godoe, Helge, 2013. "The Norwegian PV manufacturing industry in a Triple Helix perspective," Energy Policy, Elsevier, vol. 61(C), pages 1586-1594.
    32. Sleuwaegen, Leo & Boiardi, Priscilla, 2014. "Creativity and regional innovation: Evidence from EU regions," Research Policy, Elsevier, vol. 43(9), pages 1508-1522.
    33. Jacob, Merle & Lundqvist, Mats & Hellsmark, Hans, 2003. "Entrepreneurial transformations in the Swedish University system: the case of Chalmers University of Technology," Research Policy, Elsevier, vol. 32(9), pages 1555-1568, October.
    34. Elvira Cerver Romero & João J. M. Ferreira & Cristina I. Fernandes, 2021. "The multiple faces of the entrepreneurial university: a review of the prevailing theoretical approaches," The Journal of Technology Transfer, Springer, vol. 46(4), pages 1173-1195, August.
    35. Arnold Verbeek & Koenraad Debackere & Marc Luwel, 2003. "Science cited in patents: A geographic "flow" analysis of bibliographic citation patterns in patents," Scientometrics, Springer;Akadémiai Kiadó, vol. 58(2), pages 241-263, October.

  217. Loet Leydesdorff, 1997. "Why words and co‐words cannot map the development of the sciences," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 48(5), pages 418-427, May.

    Cited by:

    1. Chaoqun Ni & Cassidy R. Sugimoto & Jiepu Jiang, 2013. "Venue-author-coupling: A measure for identifying disciplines through author communities," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(2), pages 265-279, February.
    2. Mark William Neff & Elizabeth A. Corley, 2009. "35 years and 160,000 articles: A bibliometric exploration of the evolution of ecology," Scientometrics, Springer;Akadémiai Kiadó, vol. 80(3), pages 657-682, September.
    3. Burmaoglu, Serhat & Sartenaer, Olivier & Porter, Alan, 2019. "Conceptual definition of technology emergence: A long journey from philosophy of science to science policy," Technology in Society, Elsevier, vol. 59(C).
    4. Qiang Yao & Peng-Hui Lyu & Lian-Ping Yang & Lan Yao & Zhi-Yong Liu, 2014. "Current performance and future trends in health care sciences and services research," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 751-779, October.
    5. Mora, Luca & Deakin, Mark & Reid, Alasdair, 2019. "Combining co-citation clustering and text-based analysis to reveal the main development paths of smart cities," Technological Forecasting and Social Change, Elsevier, vol. 142(C), pages 56-69.
    6. Leydesdorff, Loet & Welbers, Kasper, 2011. "The semantic mapping of words and co-words in contexts," Journal of Informetrics, Elsevier, vol. 5(3), pages 469-475.
    7. Gaston Heimeriks & Ron Boschma, 2014. "The path- and place-dependent nature of scientific knowledge production in biotech 1986–2008," Journal of Economic Geography, Oxford University Press, vol. 14(2), pages 339-364.
    8. Christian Weismayer & Ilona Pezenka, 2017. "Identifying emerging research fields: a longitudinal latent semantic keyword analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(3), pages 1757-1785, December.
    9. Peng Hui Lv & Gui-Fang Wang & Yong Wan & Jia Liu & Qing Liu & Fei-cheng Ma, 2011. "Bibliometric trend analysis on global graphene research," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(2), pages 399-419, August.
    10. Rons, Nadine, 2018. "Bibliometric approximation of a scientific specialty by combining key sources, title words, authors and references," Journal of Informetrics, Elsevier, vol. 12(1), pages 113-132.
    11. Yating Zhao & Jingjing Guo & Chao Bao & Changyong Liang & Hemant K Jain, 2020. "Knowledge Graph Analysis of Human Health Research Related to Climate Change," IJERPH, MDPI, vol. 17(20), pages 1-19, October.
    12. Staša Milojević & Cassidy R. Sugimoto & Erjia Yan & Ying Ding, 2011. "The cognitive structure of Library and Information Science: Analysis of article title words," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(10), pages 1933-1953, October.
    13. Peter Mutschke & Anabel Quan Haase, 2001. "Collaboration and Cognitive Structures in Social Science Research Fields. Towards Socio-Cognitive Analysis in Information Systems," Scientometrics, Springer;Akadémiai Kiadó, vol. 52(3), pages 487-502, November.
    14. Camille Prime & Elise Bassecoulard & Michel Zitt, 2002. "Co-citations and co-sitations: A cautionary view on an analogy," Scientometrics, Springer;Akadémiai Kiadó, vol. 54(2), pages 291-308, June.
    15. Chaoqun Ni & Cassidy R. Sugimoto & Blaise Cronin, 2013. "Visualizing and comparing four facets of scholarly communication: producers, artifacts, concepts, and gatekeepers," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(3), pages 1161-1173, March.
    16. Guillermo Armando Ronda-Pupo & Luis Ángel Guerras-Martín, 2010. "Dynamics of the scientific community network within the strategic management field through the Strategic Management Journal 1980–2009: the role of cooperation," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(3), pages 821-848, December.
    17. Koondhar, Mansoor Ahmed & Shahbaz, Muhammad & Memon, Kamran Ali & Ozturk, Ilhan & Rong, Kong, 2020. "A visualization review analysis of the last two decades for Environmental Kuznets Curve “EKC” based on co-citation analysis theory and pathfinder network scaling algorithms," MPRA Paper 104949, University Library of Munich, Germany, revised 18 Dec 2020.
    18. Mike Thelwall & Pardeep Sud, 2021. "Do new research issues attract more citations? A comparison between 25 Scopus subject categories," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(3), pages 269-279, March.
    19. M. Angeles Zulueta & Gisela Cantos-Mateos & Benjamín Vargas-Quesada & Carmen Sánchez, 2011. "Research involving women and health in the Medline database, 1965–2005: co-term analysis and visualization of main lines of research," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(3), pages 679-706, September.
    20. Loet Leydesdorff, 2013. "Statistics for the dynamic analysis of scientometric data: the evolution of the sciences in terms of trajectories and regimes," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(3), pages 731-741, September.
    21. Victor Rodriguez & Frizo Janssens & Koenraad Debackere & Bart Moor, 2007. "Do material transfer agreements affect the choice of research agendas? The case of biotechnology in Belgium," Scientometrics, Springer;Akadémiai Kiadó, vol. 71(2), pages 239-269, May.
    22. Topalli, Margerita & Ivanaj, Silvester, 2016. "Mapping the evolution of the impact of economic transition on Central and Eastern European enterprises: A co-word analysis," Journal of World Business, Elsevier, vol. 51(5), pages 744-759.
    23. Bo Wang & Shengbo Liu & Kun Ding & Zeyuan Liu & Jing Xu, 2014. "Identifying technological topics and institution-topic distribution probability for patent competitive intelligence analysis: a case study in LTE technology," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 685-704, October.

  218. Leydesdorff, Loet & Gauthier, Elaine, 1996. "The evaluation of national performance in selected priority areas using scientometric methods," Research Policy, Elsevier, vol. 25(3), pages 431-450, May.

    Cited by:

    1. Loet Leydesdorff, 2000. "Is the European Union Becoming a Single Publication System?," Scientometrics, Springer;Akadémiai Kiadó, vol. 47(2), pages 265-280, February.
    2. Jana Zscheischler & Sebastian Rogga & Maria Busse, 2017. "The Adoption and Implementation of Transdisciplinary Research in the Field of Land-Use Science—A Comparative Case Study," Sustainability, MDPI, vol. 9(11), pages 1-20, October.
    3. H. Martinez & A. Jaime & J. Camacho, 2014. "Biotechnology profile analysis in Colombia," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(3), pages 1789-1804, December.
    4. Ramlogan, Ronnie & Consoli, Davide, 2008. "Knowledge, understanding and the dynamics of medical innovation," MPRA Paper 9112, University Library of Munich, Germany.
    5. Chan-Yuan Wong & Hon-Ngen Fung, 2017. "Science-technology-industry correlative indicators for policy targeting on emerging technologies: exploring the core competencies and promising industries of aspirant economies," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 841-867, May.
    6. Loet Leydesdorff, 2002. "Indicators of structural change in the dynamics of science: Entropy statistics of the SCI Journal Citation Reports," Scientometrics, Springer;Akadémiai Kiadó, vol. 53(1), pages 131-159, January.
    7. Noyons, E. C. M. & Luwel, M. & Moed, H. F., 1998. "Assessment of Flemish R&D in the field of information technology: A bibliometric evaluation based on publication and patent data, combined with OECD research input statistics," Research Policy, Elsevier, vol. 27(3), pages 285-300, July.

  219. Loet Leydesdorff & Henry Etzkowitz, 1996. "Emergence of a Triple Helix of university—industry—government relations," Science and Public Policy, Oxford University Press, vol. 23(5), pages 279-286, October.

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    1. Smith, Simon & Ward, Vicky & House, Allan, 2011. "‘Impact’ in the proposals for the UK's Research Excellence Framework: Shifting the boundaries of academic autonomy," Research Policy, Elsevier, vol. 40(10), pages 1369-1379.
    2. Daniele Ietri, 2010. "A City Loses its Major Industry – What Does it Do? The Case of Turin," Chapters, in: Peter Karl Kresl (ed.), Economic Strategies for Mature Industrial Economies, chapter 8, Edward Elgar Publishing.
    3. Hiroyuki Okamuro & Junichi Nishimura, 2020. "What Shapes Local Innovation Policies? Empirical Evidence from Japanese Cities," Administrative Sciences, MDPI, vol. 10(1), pages 1-22, February.
    4. Brinkhoff, Sascha & Kitzmann, Robert, 2014. "Urban dreams and economic realities – Areas of innovation between the demands of the knowledge society and the requirements of innovative industries," EconStor Conference Papers 233821, ZBW - Leibniz Information Centre for Economics.
    5. Atiase, Victor Yawo & Kolade, Oluwaseun & Liedong, Tahiru Azaaviele, 2020. "The emergence and strategy of tech hubs in Africa: Implications for knowledge production and value creation," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    6. Beesley, Lisa G. A., 2003. "Science policy in changing times: are governments poised to take full advantage of an institution in transition?," Research Policy, Elsevier, vol. 32(8), pages 1519-1531, September.
    7. Brita Hermelin & Hans Rämö, 2017. "Intermediary activities and agendas of regional cleantech networks in Sweden," Environment and Planning C, , vol. 35(1), pages 130-146, February.
    8. Daniele Archibugi & Andrea Filippetti, 2016. "The Retreat of Public Research and its Adverse Consequences on Innovation," Working Papers 31, Birkbeck Centre for Innovation Management Research, revised Mar 2016.
    9. Steffen Roth & Jari Kaivo-Oja, 2016. "Is the future a political economy? Functional analysis of three leading foresight and futures studies journals," Post-Print hal-01475083, HAL.
    10. Li, Yin & Arora, Sanjay & Youtie, Jan & Shapira, Philip, 2018. "Using web mining to explore Triple Helix influences on growth in small and mid-size firms," Technovation, Elsevier, vol. 76, pages 3-14.
    11. Olivier Coussi & Bastien Bernela, 2024. "Back to the Futur(oscope): a territorial development "bricolaged" by a political entrepreneur? [Retour vers le Futur(oscope) : un développement territorial « bricolé » par un entrepreneur," Post-Print hal-04452686, HAL.
    12. Paul Jackson & Reza Kiani Mavi & Yuliani Suseno & Craig Standing, 2018. "University–industry collaboration within the triple helix of innovation: The importance of mutuality," Science and Public Policy, Oxford University Press, vol. 45(4), pages 553-564.
    13. Agyarko, Kofi A. & Opoku, Richard & Van Buskirk, Robert, 2020. "Removing barriers and promoting demand-side energy efficiency in households in Sub-Saharan Africa: A case study in Ghana," Energy Policy, Elsevier, vol. 137(C).
    14. Magerman, Tom & Looy, Bart Van & Debackere, Koenraad, 2015. "Does involvement in patenting jeopardize one’s academic footprint? An analysis of patent-paper pairs in biotechnology," Research Policy, Elsevier, vol. 44(9), pages 1702-1713.
    15. Etzkowitz, Henry & Leydesdorff, Loet, 2000. "The dynamics of innovation: from National Systems and "Mode 2" to a Triple Helix of university-industry-government relations," Research Policy, Elsevier, vol. 29(2), pages 109-123, February.
    16. Tüzin Baycan, 2013. "Knowledge commercialization and valorization in regional economic development: new perspectives and challenges," Chapters, in: Tüzin Baycan (ed.), Knowledge Commercialization and Valorization in Regional Economic Development, chapter 1, pages 3-20, Edward Elgar Publishing.
    17. Leydesdorff, Loet, 2000. "The triple helix: an evolutionary model of innovations," Research Policy, Elsevier, vol. 29(2), pages 243-255, February.
    18. Hernández-Trasobares, Alejandro & Murillo-Luna, Josefina L., 2020. "The effect of triple helix cooperation on business innovation: The case of Spain," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    19. Kolade, Oluwaseun & Adegbile, Abiodun & Sarpong, David, 2022. "Can university-industry-government collaborations drive a 3D printing revolution in Africa? A triple helix model of technological leapfrogging in additive manufacturing," Technology in Society, Elsevier, vol. 69(C).
    20. Szabolcs Prónay & Norbert Buzás, 2015. "The Evolution of Marketing Influence in the Innovation Process: Toward a New Science-to-Business Marketing Model in Quadruple Helix," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 6(3), pages 494-504, September.
    21. Ávila-Robinson, Alfonso & Islam, Nazrul & Sengoku, Shintaro, 2022. "Exploring the knowledge base of innovation research: Towards an emerging innovation model," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    22. Devrim Goktepe, 2003. "The Triple Helix as a model to analyze Israeli Magnet Program and lessons for late-developing countries like Turkey," Scientometrics, Springer;Akadémiai Kiadó, vol. 58(2), pages 219-239, October.
    23. Lee, Young Hoon & Kim, YoungJun, 2016. "Analyzing interaction in R&D networks using the Triple Helix method: Evidence from industrial R&D programs in Korean government," Technological Forecasting and Social Change, Elsevier, vol. 110(C), pages 93-105.
    24. J. W. Fedderke, 2013. "The objectivity of national research foundation peer review in South Africa assessed against bibliometric indexes," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(2), pages 177-206, November.
    25. Thai Thi Minh & Carsten Nico Hjotrsø, 2015. "Relational dynamics in the multi-helices knowledge production system: A new institutionalism perspective," Globelics Working Paper Series 2015-08, Globelics - Global Network for Economics of Learning, Innovation, and Competence Building Systems, Aalborg University, Department of Business and Management.
    26. Vlaisavljevic, Vesna & Medina, Carmen Cabello & Van Looy, Bart, 2020. "The role of policies and the contribution of cluster agency in the development of biotech open innovation ecosystem," Technological Forecasting and Social Change, Elsevier, vol. 155(C).
    27. Francesco Campanella & Maria Rosaria Della Peruta & Stefano Bresciani & Luca Dezi, 2017. "Quadruple Helix and firms’ performance: an empirical verification in Europe," The Journal of Technology Transfer, Springer, vol. 42(2), pages 267-284, April.
    28. Grigory Viktorovich Prytkov & Natalia Yurievna Tsvetus & Artem Alexandrovich Balyakin & Andrey Sergeevich Malyshev & Sergey Borisovich Taranenko, 2017. "Scientific Cooperation between Russia and the EU in the Development and Use of Large Research Infrastructure," European Research Studies Journal, European Research Studies Journal, vol. 0(3A), pages 338-353.
    29. Azagra-Caro, Joaquin M. & Archontakis, Fragiskos & Gutierrez-Gracia, Antonio & Fernandez-de-Lucio, Ignacio, 2006. "Faculty support for the objectives of university-industry relations versus degree of R&D cooperation: The importance of regional absorptive capacity," Research Policy, Elsevier, vol. 35(1), pages 37-55, February.
    30. Tüzin Baycan (ed.), 2013. "Knowledge Commercialization and Valorization in Regional Economic Development," Books, Edward Elgar Publishing, number 14868.
    31. Steffen Roth & Augusto Sales & Jari Kaivo-oja, 2017. "Multiplying the Division of Labour: Functional Differentiation of the Next Key Variables in Management Research," Systems Research and Behavioral Science, Wiley Blackwell, vol. 34(2), pages 195-207, March.
    32. Carolin Bock & Christian Hackober, 2020. "Unicorns—what drives multibillion-dollar valuations?," Business Research, Springer;German Academic Association for Business Research, vol. 13(3), pages 949-984, November.
    33. Geuna, Aldo & Kataishi, Rodrigo & Toselli, Manuel & Guzmán, Eduardo & Lawson, Cornelia & Fernandez-Zubieta, Ana & Barros, Beatriz, 2015. "SiSOB Data Extraction and Codification: A tool to analyse scientific careers," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201506, University of Turin.
    34. Maria Manuela Natário & João Pedro Couto & Ascensão Maria Braga & Teresa Maria Tiago, 2011. "Dynamics of innovation in European regions," ERSA conference papers ersa11p466, European Regional Science Association.
    35. Van Looy, Bart & Callaert, Julie & Debackere, Koenraad, 2006. "Publication and patent behavior of academic researchers: Conflicting, reinforcing or merely co-existing?," Research Policy, Elsevier, vol. 35(4), pages 596-608, May.
    36. Sipho Mbatha & Anne Mastamet Mason, 2023. "Examining the Effectiveness of the South African Apparel Industry’s Systems of Innovation," Academic Journal of Interdisciplinary Studies, Richtmann Publishing Ltd, vol. 12, January.
    37. Jiancheng Guan & Ying He, 2007. "Patent-bibliometric analysis on the Chinese science — technology linkages," Scientometrics, Springer;Akadémiai Kiadó, vol. 72(3), pages 403-425, September.
    38. Subhan Tahrima & Don Jaegal, 2013. "Applicability of Knowledge-Based Innovation System in Bangladesh," International Review of Public Administration, Taylor & Francis Journals, vol. 18(3), pages 185-208, December.
    39. Anna Jonsson & Maria Grafström & Mikael Klintman, 2022. "Unboxing knowledge in collaboration between academia and society: A story about conceptions and epistemic uncertainty [De-essentializing the Knowledge Intensive Firm: Reflections on Skeptical Resea," Science and Public Policy, Oxford University Press, vol. 49(4), pages 583-597.
    40. Martin Meyer & Kevin Grant & Piera Morlacchi & Dagmara Weckowska, 2014. "Triple Helix indicators as an emergent area of enquiry: a bibliometric perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 151-174, April.
    41. Schmoch, Ulrich, 2007. "Double-boom cycles and the comeback of science-push and market-pull," Research Policy, Elsevier, vol. 36(7), pages 1000-1015, September.
    42. Bodas Freitas, Isabel Maria & Geuna, Aldo & Rossi, Federica, 2013. "Finding the right partners: Institutional and personal modes of governance of university–industry interactions," Research Policy, Elsevier, vol. 42(1), pages 50-62.
    43. Godin, Benoit & Gingras, Yves, 2000. "The place of universities in the system of knowledge production," Research Policy, Elsevier, vol. 29(2), pages 273-278, February.
    44. O’Kane, Conor, 2018. "Technology transfer executives' backwards integration: An examination of interactions between university technology transfer executives and principal investigators," Technovation, Elsevier, vol. 76, pages 64-77.
    45. Sinnewe, Elisabeth & Charles, Michael B. & Keast, Robyn, 2016. "Australia's Cooperative Research Centre Program: A transaction cost theory perspective," Research Policy, Elsevier, vol. 45(1), pages 195-204.
    46. Sanja Franc & Deniza Karadžija, 2019. "Quintuple helix approach: The case of the European Union," Notitia - journal for economic, business and social issues, Notitia Ltd., vol. 1(5), pages 91-100, December.
    47. Liana Marina Ranga & Koenraad Debackere & Nick von Tunzelmann, 2003. "Entrepreneurial universities and the dynamics of academic knowledge production: A case study of basic vs. applied research in Belgium," Scientometrics, Springer;Akadémiai Kiadó, vol. 58(2), pages 301-320, October.
    48. Tiago Ratinho & Alejandro Amezcua & Benson Honig & Zhaocheng Zeng, 2020. "Supporting entrepreneurs: A systematic review of literature and an agenda for research," Post-Print hal-02998342, HAL.
    49. Sandra Rousseau & Ronald Rousseau, 2021. "Bibliometric Techniques And Their Use In Business And Economics Research," Journal of Economic Surveys, Wiley Blackwell, vol. 35(5), pages 1428-1451, December.
    50. Bart Van Looy & Edwin Zimmermann & Reinhilde Veugelers & Arnold Verbeek & Johanna Mello & Koenraad Debackere, 2003. "Do science-technology interactions pay off when developing technology?," Scientometrics, Springer;Akadémiai Kiadó, vol. 57(3), pages 355-367, July.
    51. Fabiano, Gianluca & Marcellusi, Andrea & Favato, Giampiero, 2021. "R versus D, from knowledge creation to value appropriation: Ownership of patents filed by European biotechnology founders," Technovation, Elsevier, vol. 108(C).
    52. Bernd Wurth & Erik Stam & Ben Spigel, 2022. "Toward an Entrepreneurial Ecosystem Research Program," Entrepreneurship Theory and Practice, , vol. 46(3), pages 729-778, May.
    53. Iorio, Roberto & Labory, Sandrine & Rentocchini, Francesco, 2017. "The importance of pro-social behaviour for the breadth and depth of knowledge transfer activities: An analysis of Italian academic scientists," Research Policy, Elsevier, vol. 46(2), pages 497-509.
    54. João J. Ferreira & Elias G. Carayannis & David F.J. Campbell & Luís Farinha & Helen Lawton Smith & Sharmistha Bagchi-Sen, 2018. "Geography & Entrepreneurship: Managing Growth and Change," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 9(2), pages 500-505, June.
    55. Enrique Orduna-Malea & Selenay Aytac, 2015. "Revealing the online network between university and industry: the case of Turkey," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1849-1866, December.
    56. Bart Looy & Tom Magerman & Koenraad Debackere, 2007. "Developing technology in the vicinity of science: An examination of the relationship between science intensity (of patents) and technological productivity within the field of biotechnology," Scientometrics, Springer;Akadémiai Kiadó, vol. 70(2), pages 441-458, February.
    57. Ding, Ying, 2011. "Scientific collaboration and endorsement: Network analysis of coauthorship and citation networks," Journal of Informetrics, Elsevier, vol. 5(1), pages 187-203.
    58. Altaf, Aqsa & Hassan, Ibn e & Batool, Sana, 2019. "The role of ORIC in the evolution of the triple helix culture of innovation: The case of Pakistan," Technology in Society, Elsevier, vol. 56(C), pages 157-166.
    59. Wawan Dhewanto & Rendra Chaerudin & Donald Lantu & Sri Herliana & Evy Rachmawati, 2015. "Diamond Model Development of ICT Industry Clusters in a Developing Country," Journal of Business & Management (COES&RJ-JBM), , vol. 3(2), pages 348-355, April.
    60. Laxmi Prasad Pant, 2019. "Responsible innovation through conscious contestation at the interface of agricultural science, policy, and civil society," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 36(2), pages 183-197, June.
    61. Ivanova, Inga A. & Leydesdorff, Loet, 2014. "Rotational symmetry and the transformation of innovation systems in a Triple Helix of university–industry–government relations," Technological Forecasting and Social Change, Elsevier, vol. 86(C), pages 143-156.
    62. Jungwon Yoon & Joshua SungWoo Yang & Han Woo Park, 2017. "Quintuple helix structure of Sino-Korean research collaboration in science," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(1), pages 61-81, October.
    63. Dabic, Marina & González-Loureiro, Miguel & Daim, Tugrul U., 2015. "Unraveling the attitudes on entrepreneurial universities: The case of Croatian and Spanish universities," Technology in Society, Elsevier, vol. 42(C), pages 167-178.
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    68. Inga Ivanova & Øivind Strand & Loet Leydesdorff, 2019. "What Is the Effect of Synergy Provided by International Collaborations on Regional Economies?," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 10(1), pages 18-34, March.
    69. Jaelani, Aan, 2019. "Triple Helix sebagai model bagi inovasi pendidikan tinggi: Analisis logika kelembagaan dalam pengembangan kewirausahaan dan ekonomi [The Triple Helix as a model for innovation of higher education: ," MPRA Paper 95752, University Library of Munich, Germany, revised 05 Jul 2019.
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    76. Hemert, P. van & Nijkamp, P., 2008. "Thematic research prioritization in the EU and the Netherlands: an assessment on the basis of content analysis," Serie Research Memoranda 0023, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    77. Molas-Gallart, Jordi & Woolley, Richard, 2022. "Research impact seen from the user side," INGENIO (CSIC-UPV) Working Paper Series 202201, INGENIO (CSIC-UPV).
    78. Sleuwaegen, Leo & Boiardi, Priscilla, 2014. "Creativity and regional innovation: Evidence from EU regions," Research Policy, Elsevier, vol. 43(9), pages 1508-1522.
    79. Franzò, Simone & Doppio, Nicola & Natalicchio, Angelo & Frattini, Federico & Mion, Luca, 2023. "Designing innovation contests to support external knowledge search in small and medium-sized enterprises," Technovation, Elsevier, vol. 121(C).
    80. María Eugenia Morales Rubiano & Pedro Emilio Sanabria Rangel & Daniel Caballero Martínez, 2015. "Características de la vinculación universidad-entorno en la Universidad Nacional de Colombia," Revista Facultad de Ciencias Económicas, Universidad Militar Nueva Granada, vol. 0(1), pages 189-208, June.
    81. Stukach, Victor & Shevchenco, Yelena, 2016. "Национальный Форсайт - Проект Сельского Хозяйства Казахстана: Научно-Техническая Стратегия, Ресурсы, Приоритеты Развития, Конкурентоспособность [National foresight project of agriculture in Kazakhs," MPRA Paper 80220, University Library of Munich, Germany, revised Jun 2017.
    82. Bae, Sung Joo & Lee, Hyeonsuh, 2020. "The role of government in fostering collaborative R&D projects: Empirical evidence from South Korea," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    83. Daniele Archibugi & Andrea Filippetti, 2016. "(English) The Retreat of Public Research and its Adverse Consequences on Innovation (Italiano) I cambiamenti nella ricerca pubblica e le conseguenze avverse sull’innovazione," IRPPS Working Papers 94:2016, National Research Council, Institute for Research on Population and Social Policies.
    84. Victoria Galan-Muros & Todd Davey, 2019. "The UBC ecosystem: putting together a comprehensive framework for university-business cooperation," The Journal of Technology Transfer, Springer, vol. 44(4), pages 1311-1346, August.
    85. Piotr Pietrzak, 2018. "Uniwersytet przedsiębiorczy – moda czy konieczność?," Nowoczesne Systemy Zarządzania. Modern Management Systems, Military University of Technology, Faculty of Security, Logistics and Management, Institute of Organization and Management, issue 2, pages 131-142.
    86. Feng, Feng & Zhang, Leiyong & Du, Yuneng & Wang, Weiguang, 2015. "Visualization and quantitative study in bibliographic databases: A case in the field of university–industry cooperation," Journal of Informetrics, Elsevier, vol. 9(1), pages 118-134.
    87. Boardman, P. Craig & Corley, Elizabeth A., 2008. "University research centers and the composition of research collaborations," Research Policy, Elsevier, vol. 37(5), pages 900-913, June.
    88. Faria, João Ricardo & Caudill, Steven B. & Mixon, Franklin G. & Upadhyaya, Kamal P., 2021. "Cooperation and spillovers in healthcare R&D: Theory and evidence," Economic Modelling, Elsevier, vol. 95(C), pages 68-75.
    89. Hsu, David W.L. & Shen, Yung-Chi & Yuan, Benjamin J.C. & Chou, Chiyan James, 2015. "Toward successful commercialization of university technology: Performance drivers of university technology transfer in Taiwan," Technological Forecasting and Social Change, Elsevier, vol. 92(C), pages 25-39.
    90. Li, Kai & Yan, Erjia, 2019. "Are NIH-funded publications fulfilling the proposed research? An examination of concept-matchedness between NIH research grants and their supported publications," Journal of Informetrics, Elsevier, vol. 13(1), pages 226-237.
    91. Shen, Yung-Chi & Wang, Ming-Yeu & Yang, Ya-Chu, 2020. "Discovering the potential opportunities of scientific advancement and technological innovation: A case study of smart health monitoring technology," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
    92. Frenken, Koen, 2000. "A complexity approach to innovation networks. The case of the aircraft industry (1909-1997)," Research Policy, Elsevier, vol. 29(2), pages 257-272, February.
    93. Arnold Verbeek & Koenraad Debackere & Marc Luwel, 2003. "Science cited in patents: A geographic "flow" analysis of bibliographic citation patterns in patents," Scientometrics, Springer;Akadémiai Kiadó, vol. 58(2), pages 241-263, October.
    94. Marge Seppo & Kärt Rõigas & Urmas Varblane, 2014. "Governmental Support Measures for University–Industry Cooperation—Comparative View in Europe," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 5(2), pages 388-408, June.
    95. Catherine Lecocq & Bart Looy, 2009. "The impact of collaboration on the technological performance of regions: time invariant or driven by life cycle dynamics?," Scientometrics, Springer;Akadémiai Kiadó, vol. 80(3), pages 845-865, September.

  220. Peter van den Besselaar & Loet Leydesdorff, 1996. "Mapping change in scientific specialties: A scientometric reconstruction of the development of artificial intelligence," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 47(6), pages 415-436, June.

    Cited by:

    1. Cottafava, Dario & Ascione, Grazia Sveva & Corazza, Laura & Dhir, Amandeep, 2022. "Sustainable development goals research in higher education institutions: An interdisciplinarity assessment through an entropy-based indicator," Journal of Business Research, Elsevier, vol. 151(C), pages 138-155.
    2. Ricardo Arencibia-Jorge & Rosa Lidia Vega-Almeida & José Luis Jiménez-Andrade & Humberto Carrillo-Calvet, 2022. "Evolutionary stages and multidisciplinary nature of artificial intelligence research," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(9), pages 5139-5158, September.
    3. Leydesdorff, Loet & Bornmann, Lutz & Marx, Werner & Milojević, Staša, 2014. "Referenced Publication Years Spectroscopy applied to iMetrics: Scientometrics, Journal of Informetrics, and a relevant subset of JASIST," Journal of Informetrics, Elsevier, vol. 8(1), pages 162-174.
    4. Alberto Gherardini & Alberto Nucciotti, 2017. "Yesterday’s giants and invisible colleges of today. A study on the ‘knowledge transfer’ scientific domain," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(1), pages 255-271, July.
    5. Ramlogan, Ronnie & Consoli, Davide, 2008. "Knowledge, understanding and the dynamics of medical innovation," MPRA Paper 9112, University Library of Munich, Germany.
    6. Loet Leydesdorff & Lutz Bornmann & Caroline S. Wagner, 2017. "Generating clustered journal maps: an automated system for hierarchical classification," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(3), pages 1601-1614, March.
    7. Leydesdorff, Loet & Rafols, Ismael, 2011. "Indicators of the interdisciplinarity of journals: Diversity, centrality, and citations," Journal of Informetrics, Elsevier, vol. 5(1), pages 87-100.
    8. Loet Leydesdorff, 2007. "Environment and Planning B: Planning and Design as a Journal: The Interdisciplinarity of its Environment and the Citation Impact," Environment and Planning B, , vol. 34(5), pages 826-838, October.
    9. Aurora A.C. Teixeira, 2011. "Mapping the (In)visible College(s) in the Field of Entrepreneurship," FEP Working Papers 416, Universidade do Porto, Faculdade de Economia do Porto.
    10. Loet Leydesdorff & Caroline S. Wagner & Lutz Bornmann, 2018. "Discontinuities in citation relations among journals: self-organized criticality as a model of scientific revolutions and change," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 623-644, July.
    11. Joshua Eykens & Raf Guns & Raf Vanderstraeten, 2022. "Subject specialties as interdisciplinary trading grounds: the case of the social sciences and humanities," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7193-7213, December.
    12. Pim Vugteveen & Rob Lenders & Peter Van den Besselaar, 2014. "The dynamics of interdisciplinary research fields: the case of river research," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(1), pages 73-96, July.
    13. Loet Leydesdorff, 2002. "Indicators of structural change in the dynamics of science: Entropy statistics of the SCI Journal Citation Reports," Scientometrics, Springer;Akadémiai Kiadó, vol. 53(1), pages 131-159, January.
    14. Teixeira, Aurora A. C. & Castro e Silva, Manuela, 2015. "Relational environment and intellectual roots of 'ecological economics': An orthodox or heterodox field of research?," Economics Discussion Papers 2015-52, Kiel Institute for the World Economy (IfW Kiel).
    15. Han Woo Park & Loet Leydesdorff, 2009. "Knowledge linkage structures in communication studies using citation analysis among communication journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(1), pages 157-175, October.
    16. Ying Ding & Gobinda G. Chowdhury & Schubert Foo, 2000. "Journal as Markers of Intellectual Space: Journal Co-Citation Analysis of Information Retrieval Area, 1987–1997," Scientometrics, Springer;Akadémiai Kiadó, vol. 47(1), pages 55-73, January.
    17. Ismael Rafols & Alan Porter & Loet Leydesdorff, 2009. "Overlay Maps of Science: a New Tool for Research Policy," SPRU Working Paper Series 179, SPRU - Science Policy Research Unit, University of Sussex Business School.
    18. Loet Leydesdorff, 2004. "Top-down decomposition of the Journal Citation Reportof the Social Science Citation Index: Graph- and factor-analytical approaches," Scientometrics, Springer;Akadémiai Kiadó, vol. 60(2), pages 159-180, June.
    19. Loet Leydesdorff & Caroline S. Wagner & Lutz Bornmann, 2018. "Betweenness and diversity in journal citation networks as measures of interdisciplinarity—A tribute to Eugene Garfield," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(2), pages 567-592, February.
    20. Wagner, Caroline S. & Roessner, J. David & Bobb, Kamau & Klein, Julie Thompson & Boyack, Kevin W. & Keyton, Joann & Rafols, Ismael & Börner, Katy, 2011. "Approaches to understanding and measuring interdisciplinary scientific research (IDR): A review of the literature," Journal of Informetrics, Elsevier, vol. 5(1), pages 14-26.
    21. Leydesdorff, Loet & Rafols, Ismael, 2012. "Interactive overlays: A new method for generating global journal maps from Web-of-Science data," Journal of Informetrics, Elsevier, vol. 6(2), pages 318-332.
    22. Frenken, Koen, 2002. "The geography of collaborative knowledge production: entropy techniques and results for the European Union," ERSA conference papers ersa02p029, European Regional Science Association.

  221. Leydesdorff, Loet & Cozzens, Susan & Van den Besselaar, Peter, 1994. "Tracking areas of strategic importance using scientometric journal mappings," Research Policy, Elsevier, vol. 23(2), pages 217-229, March.

    Cited by:

    1. Thomas Gurney & Edwin Horlings & Peter van den Besselaar, 2012. "Author disambiguation using multi-aspect similarity indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(2), pages 435-449, May.
    2. Diana Lucio-Arias & Loet Leydesdorff, 2007. "Knowledge emergence in scientific communication: from “fullerenes” to “nanotubes”," Scientometrics, Springer;Akadémiai Kiadó, vol. 70(3), pages 603-632, March.
    3. Burmaoglu, Serhat & Sartenaer, Olivier & Porter, Alan, 2019. "Conceptual definition of technology emergence: A long journey from philosophy of science to science policy," Technology in Society, Elsevier, vol. 59(C).
    4. Olugbenga Oladinrin & Kasun Gomis & Wadu Mesthrige Jayantha & Lovelin Obi & Muhammad Qasim Rana, 2021. "Scientometric Analysis of Global Scientific Literature on Aging in Place," IJERPH, MDPI, vol. 18(23), pages 1-16, November.
    5. Zhou, Ping & Leydesdorff, Loet, 2006. "The emergence of China as a leading nation in science," Research Policy, Elsevier, vol. 35(1), pages 83-104, February.
    6. Choi, Kwang Hun & Kwon, Gyu Hyun, 2023. "Strategies for sensing innovation opportunities in smart grids: In the perspective of interactive relationships between science, technology, and business," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
    7. Sarah Kaplan & Keyvan Vakili, 2015. "The double-edged sword of recombination in breakthrough innovation," Strategic Management Journal, Wiley Blackwell, vol. 36(10), pages 1435-1457, October.
    8. Rezaeian, M. & Montazeri, H. & Loonen, R.C.G.M., 2017. "Science foresight using life-cycle analysis, text mining and clustering: A case study on natural ventilation," Technological Forecasting and Social Change, Elsevier, vol. 118(C), pages 270-280.
    9. Rotolo, Daniele & Hicks, Diana & Martin, Ben R., 2015. "What is an emerging technology?," Research Policy, Elsevier, vol. 44(10), pages 1827-1843.
    10. Carolin Michels & Ulrich Schmoch, 2012. "The growth of science and database coverage," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(3), pages 831-846, December.
    11. Seyed Mahmoud Zanjirchi & Mina Rezaeian Abrishami & Negar Jalilian, 2019. "Four decades of fuzzy sets theory in operations management: application of life-cycle, bibliometrics and content analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(3), pages 1289-1309, June.
    12. Ogawa, Takaya & Kajikawa, Yuya, 2015. "Assessing the industrial opportunity of academic research with patent relatedness: A case study on polymer electrolyte fuel cells," Technological Forecasting and Social Change, Elsevier, vol. 90(PB), pages 469-475.
    13. Philip Shapira & Jan Youtie & Alan L. Porter, 2010. "The emergence of social science research on nanotechnology," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(2), pages 595-611, November.
    14. Loet Leydesdorff & Caroline S. Wagner & Lutz Bornmann, 2018. "Discontinuities in citation relations among journals: self-organized criticality as a model of scientific revolutions and change," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 623-644, July.
    15. Loet Leydesdorff & Ping Zhou, 2007. "Nanotechnology as a field of science: Its delineation in terms of journals and patents," Scientometrics, Springer;Akadémiai Kiadó, vol. 70(3), pages 693-713, March.
    16. Leydesdorff, Loet & Gauthier, Elaine, 1996. "The evaluation of national performance in selected priority areas using scientometric methods," Research Policy, Elsevier, vol. 25(3), pages 431-450, May.
    17. Loet Leydesdorff, 2002. "Indicators of structural change in the dynamics of science: Entropy statistics of the SCI Journal Citation Reports," Scientometrics, Springer;Akadémiai Kiadó, vol. 53(1), pages 131-159, January.
    18. Yuko Fujigaki, 2002. "Analysis on dynamics of research sub-domains in interdisciplinary fields: Analysis using personal distribution versus papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 54(1), pages 63-74, April.
    19. Ismael Rafols & Alan Porter & Loet Leydesdorff, 2009. "Overlay Maps of Science: a New Tool for Research Policy," SPRU Working Paper Series 179, SPRU - Science Policy Research Unit, University of Sussex Business School.
    20. Byungun Yoon & Sungjoo Lee & Gwanghee Lee, 2010. "Development and application of a keyword-based knowledge map for effective R&D planning," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(3), pages 803-820, December.
    21. Loet Leydesdorff, 2012. "Alternatives to the journal impact factor: I3 and the top-10% (or top-25%?) of the most-highly cited papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(2), pages 355-365, August.
    22. Leydesdorff, Loet & Rafols, Ismael, 2012. "Interactive overlays: A new method for generating global journal maps from Web-of-Science data," Journal of Informetrics, Elsevier, vol. 6(2), pages 318-332.
    23. Loet Leydesdorff, 2013. "Statistics for the dynamic analysis of scientometric data: the evolution of the sciences in terms of trajectories and regimes," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(3), pages 731-741, September.
    24. Loet Leydesdorff & Caroline Wagner, 2009. "Is the United States losing ground in science? A global perspective on the world science system," Scientometrics, Springer;Akadémiai Kiadó, vol. 78(1), pages 23-36, January.
    25. Eric J. Iversen & Aris Kaloudis, "undated". "The changing role of patents and publishing in basic and applied modes of organised research," STEP Report series 199906, The STEP Group, Studies in technology, innovation and economic policy.
    26. Shen, Yung-Chi & Wang, Ming-Yeu & Yang, Ya-Chu, 2020. "Discovering the potential opportunities of scientific advancement and technological innovation: A case study of smart health monitoring technology," Technological Forecasting and Social Change, Elsevier, vol. 160(C).

Chapters

  1. Loet Leydesdorff & Wilfred Dolfsma & Gerben Van der Panne, 2010. "Measuring the Knowledge Base of an Economy in Terms of Triple-Helix Relations," Chapters, in: Riccardo Viale & Henry Etzkowitz (ed.), The Capitalization of Knowledge, chapter 11, Edward Elgar Publishing.

    Cited by:

    1. Reis, Anabela & Heitor, Manuel & Amaral, Miguel & Mendonça, Joana, 2016. "Revisiting industrial policy: Lessons learned from the establishment of an automotive OEM in Portugal," Technological Forecasting and Social Change, Elsevier, vol. 113(PB), pages 195-205.
    2. Tan Yigitcanlar & Ingi Runar Edvardsson & Hjalti Johannesson & Md Kamruzzaman & Giuseppe Ioppolo & Surabhi Pancholi, 2017. "Knowledge-based development dynamics in less favoured regions: insights from Australian and Icelandic university towns," European Planning Studies, Taylor & Francis Journals, vol. 25(12), pages 2272-2292, December.
    3. Zhang, Yi & Chen, Kaihua & Fu, Xiaolan, 2019. "Scientific effects of Triple Helix interactions among research institutes, industries and universities," Technovation, Elsevier, vol. 86, pages 33-47.
    4. Beckenbach, Frank & Daskalakis, Maria & Hofmann, David, 2011. "Die ökonomische Bedeutung der Universität Kassel für die Region Nordhessen (Langfassung)," reihe empirische analysen 8, Universität Kassel, Fachgebiet Umwelt- und Verhaltensökonomik.
    5. Rodríguez-Navarro, Alonso & Brito, Ricardo, 2018. "Technological research in the EU is less efficient than the world average. EU research policy risks Europeans’ future," Journal of Informetrics, Elsevier, vol. 12(3), pages 718-731.
    6. Reem S. Al-Mansoori & Muammer Koç, 2019. "Transformational Leadership, Systems, and Intrinsic Motivation Impacts on Innovation in Higher Education Institutes: Faculty Perspectives in Engineering Colleges," Sustainability, MDPI, vol. 11(15), pages 1-26, July.
    7. Rocco Frondizi & Chiara Fantauzzi & Nathalie Colasanti & Gloria Fiorani, 2019. "The Evaluation of Universities’ Third Mission and Intellectual Capital: Theoretical Analysis and Application to Italy," Sustainability, MDPI, vol. 11(12), pages 1-23, June.
    8. Xiaojun Hu & Xian Li & Ronald Rousseau, 2021. "Mathematical reflections on Triple Helix calculations," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(10), pages 8581-8587, October.
    9. Calabrese, Armando & Capece, Guendalina & Costa, Roberta & Di Pillo, Francesca & Giuffrida, Stefania, 2018. "A ‘power law’ based method to reduce size-related bias in indicators of knowledge performance: An application to university research assessment," Journal of Informetrics, Elsevier, vol. 12(4), pages 1263-1281.
    10. Yi, Sæung-gyu & Jun, Bogang, 2016. "Has the German reunification strengthened Germany's national innovation system? Triple helix dynamics of Germany's innovation system," Hohenheim Discussion Papers in Business, Economics and Social Sciences 15-2016, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
    11. Swapan Kumar Patra & Mammo Muchie, 2018. "Research and innovation in South African universities: from the triple helix’s perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 51-76, July.
    12. Loet Leydesdorff, 2011. "“Structuration” by intellectual organization: the configuration of knowledge in relations among structural components in networks of science," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(2), pages 499-520, August.
    13. Sarpong, David & AbdRazak, Azley & Alexander, Elizabeth & Meissner, Dirk, 2017. "Organizing practices of university, industry and government that facilitate (or impede) the transition to a hybrid triple helix model of innovation," Technological Forecasting and Social Change, Elsevier, vol. 123(C), pages 142-152.
    14. Loet Leydesdorff & Lutz Bornmann, 2012. "Mapping (USPTO) patent data using overlays to Google Maps," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(7), pages 1442-1458, July.
    15. Reem S. Al-Mansoori & Muammer Koç, 2019. "Toward Knowledge-Based Economy: Innovation and Transformational Leadership in Public Universities in Texas and Qatar," Sustainability, MDPI, vol. 11(23), pages 1-30, November.
    16. Akimowicz, Mikaël & Del Corso, Jean-Pierre & Gallai, Nicola & Képhaliacos, Charilaos, 2022. "The leader, the keeper, and the follower? A legitimacy perspective on the governance of varietal innovation systems for climate changes adaptation. The case of sunflower hybrids in France," Agricultural Systems, Elsevier, vol. 203(C).
    17. Ivanova, Inga A. & Leydesdorff, Loet, 2014. "Rotational symmetry and the transformation of innovation systems in a Triple Helix of university–industry–government relations," Technological Forecasting and Social Change, Elsevier, vol. 86(C), pages 143-156.
    18. Ian SPERO & Merlin STONE & Eleni ARAVOPOULOU, 2017. "Multiple Helices as Agents of Change? The Case of the Neighborhoods of the Future Project and the Development of Direction for Policy and Practice on Health, Happiness and Wellbeing for the next Gener," Management Dynamics in the Knowledge Economy, College of Management, National University of Political Studies and Public Administration, vol. 5(1), pages 97-117, March.
    19. Burgos-Mascarell, Andrea & Ribeiro-Soriano, Domingo & Martínez-López, Miguel, 2016. "Dystopia deconstructed: Applying the triple helix model to a failed utopia," Journal of Business Research, Elsevier, vol. 69(5), pages 1845-1850.
    20. Ahmed A. ElObeidy, 2014. "Retracted: Knowledge-based economy in Arab countries: between Silicon Valley and Phosphate Gully," Regional Science Policy & Practice, Wiley Blackwell, vol. 6(3), pages 309-309, August.
    21. Hoe Chin Goi & Muhammad Mohsin Hakeem & Frendy, 2022. "Bridging Academics’ Roles in Knowledge Diffusion in Sustainability-Driven Public–Private Partnerships: A Case Study of the SDGs Workshop in Central Japan," Sustainability, MDPI, vol. 14(4), pages 1-15, February.
    22. Driouchi, Ahmed & Achehboune, Amale, 2015. "North-South Cooperation in Medical Education and Research: The European Union and South Mediterranean Economies," MPRA Paper 67345, University Library of Munich, Germany.
    23. Mavis Serwah Benneh Mensah & Francis Enu-Kwesi & Rosemond Boohene, 2019. "Challenges of Research Collaboration in Ghana’s Knowledge-based Economy," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 10(1), pages 186-204, March.

  2. Loet Leydesdorff, 2006. "The Knowledge-Based Economy and the Triple Helix Model," Chapters, in: Wilfred Dolfsma & Luc Soete (ed.), Understanding the Dynamics of a Knowledge Economy, chapter 2, Edward Elgar Publishing.

    Cited by:

    1. ROTARIU Ilie & MATIOC Stela, 2017. "Addressing Public Economic Development Programs In Terms Of Gastronomic Tourism Objectives Of The Sibiu - European Region Of Gastronomy 2019 Program," Revista Economica, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 69(3), pages 102-111, August.
    2. Todeva, Emanuela, 2013. "Governance of Innovation and Intermediation in Triple Helix Interactions," MPRA Paper 67612, University Library of Munich, Germany.
    3. Mulej, Matjaž & Potočan, Vojko, 2016. "Plenary Lecture: Knowledge Management or Knowledge-Cum-Values-Management?," Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference (2016), Rovinj, Croatia, in: Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference, Rovinj, Croatia, 8-9 September 2016, pages 1-9, IRENET - Society for Advancing Innovation and Research in Economy, Zagreb.
    4. Marcin Baron, 2021. "Open Innovation Capacity of the Polish Universities," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 12(1), pages 73-95, March.

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