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A new classification scheme of science fields and subfields designed for scientometric evaluation purposes

Citations

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Cited by:

  1. Neus Herranz & Javier Ruiz-Castillo, 2012. "Multiplicative and fractional strategies when journals are assigned to several subfields," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(11), pages 2195-2205, November.
  2. Lutz Bornmann & Klaus Wohlrabe, 2019. "Normalisation of citation impact in economics," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(2), pages 841-884, August.
  3. Ortega, José Luis & López-Romero, Elena & Fernández, Inés, 2011. "Multivariate approach to classify research institutes according to their outputs: The case of the CSIC's institutes," Journal of Informetrics, Elsevier, vol. 5(3), pages 323-332.
  4. 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.
  5. 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.
  6. 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.
  7. P. Vinkler, 2010. "Indicators are the essence of scientometrics and bibliometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(3), pages 861-866, December.
  8. Staša Milojević, 2020. "Nature, Science, and PNAS: disciplinary profiles and impact," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(3), pages 1301-1315, June.
  9. 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.
  10. Wang, Jian & Veugelers, Reinhilde & Stephan, Paula, 2017. "Bias against novelty in science: A cautionary tale for users of bibliometric indicators," Research Policy, Elsevier, vol. 46(8), pages 1416-1436.
  11. Glänzel, Wolfgang, 2007. "Characteristic scores and scales," Journal of Informetrics, Elsevier, vol. 1(1), pages 92-102.
  12. Wolfgang Glänzel, 2009. "The multi-dimensionality of journal impact," Scientometrics, Springer;Akadémiai Kiadó, vol. 78(2), pages 355-374, February.
  13. 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.
  14. Herranz, Neus & Ruiz-Castillo, Javier, 2012. "Sub-field normalization in the multiplicative case: Average-based citation indicators," Journal of Informetrics, Elsevier, vol. 6(4), pages 543-556.
  15. Dragan Ivanović & Dušan Surla & Miloš Racković, 2011. "A CERIF data model extension for evaluation and quantitative expression of scientific research results," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(1), pages 155-172, January.
  16. Neus Herranz & Javier Ruiz-Castillo, 2012. "Sub-field normalization in the multiplicative case: High- and low-impact citation indicators," Research Evaluation, Oxford University Press, vol. 21(2), pages 113-125, April.
  17. 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.
  18. Tianwei He, 2009. "International scientific collaboration of China with the G7 countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 80(3), pages 571-582, September.
  19. 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.
  20. 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.
  21. Sh. A. Sargsyan & D. A. Maisano & A. R. Mirzoyan & A. A. Manukyan & E. G. Gzoyan, 2020. "EU-EAEU dilemma of Armenia: Does science support politics?," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(3), pages 1491-1507, March.
  22. Alfio Ferrara & Silvia Salini, 2012. "Ten challenges in modeling bibliographic data for bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(3), pages 765-785, December.
  23. Maria Victoria Guzmán-Sánchez & Maybel Piñón-Lora & Elio Atenógenes Villaseñor-García & José Luis Jiménez-Andrade & Humberto Carrillo-Calvet, 2018. "Characterization of the Cuban biopharmaceutical industry from collaborative networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(3), pages 1533-1548, June.
  24. 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.
  25. 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.
  26. 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.
  27. 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.
  28. Javier Ruiz-Castillo, 2012. "The evaluation of citation distributions," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 3(1), pages 291-310, March.
  29. 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.
  30. Neus Herranz & Javier Ruiz-Castillo, 2013. "The end of the “European Paradox”," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(1), pages 453-464, April.
  31. Rene Belderbos & Vincent Van Roy & Bart Leten & Bart Thijs, 2014. "Academic Research Strengths and Multinational Firms' Foreign R&D Location Decisions: Evidence from R&D Investments in European Regions," Environment and Planning A, , vol. 46(4), pages 920-942, April.
  32. Simon Ville & Olav Wicken, 2013. "The dynamics of resource-based economic development: evidence from Australia and Norway," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 22(5), pages 1341-1371, October.
  33. 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.
  34. John T. Li, 2016. "What we learn from the shifts in highly cited data from 2001 to 2014?," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(1), pages 57-82, July.
  35. Pedro Albarrán & Juan A. Crespo & Ignacio Ortuño & Javier Ruiz-Castillo, 2011. "The skewness of science in 219 sub-fields and a number of aggregates," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(2), pages 385-397, August.
  36. Ruiz-Castillo, Javier & Costas, Rodrigo, 2018. "Individual and field citation distributions in 29 broad scientific fields," Journal of Informetrics, Elsevier, vol. 12(3), pages 868-892.
  37. 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.
  38. Jiri Vanecek, 2008. "Bibliometric analysis of the Czech research publications from 1994 to 2005," Scientometrics, Springer;Akadémiai Kiadó, vol. 77(2), pages 345-360, November.
  39. Schubert, András & Glänzel, Wolfgang, 2007. "A systematic analysis of Hirsch-type indices for journals," Journal of Informetrics, Elsevier, vol. 1(3), pages 179-184.
  40. Lin Zhang & Wolfgang Glänzel, 2017. "A citation-based cross-disciplinary study on literature aging: part I—the synchronous approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1573-1589, June.
  41. Waltman, Ludo, 2016. "A review of the literature on citation impact indicators," Journal of Informetrics, Elsevier, vol. 10(2), pages 365-391.
  42. 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.
  43. 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.
  44. 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.
  45. Mike Thelwall, 2019. "The influence of highly cited papers on field normalised indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(2), pages 519-537, February.
  46. 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.
  47. 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.
  48. Chi, Pei-Shan, 2016. "Differing disciplinary citation concentration patterns of book and journal literature?," Journal of Informetrics, Elsevier, vol. 10(3), pages 814-829.
  49. repec:cte:werepe:11672 is not listed on IDEAS
  50. 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.
  51. 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.
  52. Ernesto R. Gantman, 2012. "Economic, linguistic, and political factors in the scientific productivity of countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(3), pages 967-985, December.
  53. 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.
  54. 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.
  55. 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.
  56. 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.
  57. Ping Zhou & Bart Thijs & Wolfgang Glänzel, 2009. "Regional analysis on Chinese scientific output," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(3), pages 839-857, December.
  58. Lawrence Smolinsky & Aaron Lercher, 2012. "Citation rates in mathematics: a study of variation by subdiscipline," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(3), pages 911-924, June.
  59. 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.
  60. De Filippo, Daniela & Gorraiz, Juan, 2020. "Is the Emerging Source Citation Index an aid to assess the citation impact in social science and humanities?," Journal of Informetrics, Elsevier, vol. 14(4).
  61. 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.
  62. 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.
  63. repec:cte:werepe:we1306 is not listed on IDEAS
  64. Yan, Erjia, 2014. "Research dynamics: Measuring the continuity and popularity of research topics," Journal of Informetrics, Elsevier, vol. 8(1), pages 98-110.
  65. 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.
  66. 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.
  67. 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.
  68. Glänzel Wolfgang & Thijs Bart & Schlemmer Balázs, 2004. "A bibliometric approach to the role of author self-citations in scientific communication," Scientometrics, Springer;Akadémiai Kiadó, vol. 59(1), pages 63-77, January.
  69. 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.
  70. Wolfgang Glänzel & Ping Zhou, 2011. "Publication activity, citation impact and bi-directional links between publications and patents in biotechnology," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(2), pages 505-525, February.
  71. András Schubert & Wolfgang Glänzel & Bart Thijs, 2006. "The weight of author self-citations. A fractional approach to self-citation counting," Scientometrics, Springer;Akadémiai Kiadó, vol. 67(3), pages 503-514, June.
  72. Bart Thijs & Lin Zhang & Wolfgang Glänzel, 2015. "Bibliographic coupling and hierarchical clustering for the validation and improvement of subject-classification schemes," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1453-1467, December.
  73. 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.
  74. 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.
  75. 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.
  76. 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.
  77. Andreas Rehs, 2020. "A structural topic model approach to scientific reorientation of economics and chemistry after German reunification," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1229-1251, November.
  78. Bart Thijs & Wolfgang Glänzel, 2008. "A structural analysis of publication profiles for the classification of European research institutes," Scientometrics, Springer;Akadémiai Kiadó, vol. 74(2), pages 223-236, February.
  79. 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.
  80. 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).
  81. Abramo, Giovanni & D’Angelo, Ciriaco Andrea & Zhang, Lin, 2018. "A comparison of two approaches for measuring interdisciplinary research output: The disciplinary diversity of authors vs the disciplinary diversity of the reference list," Journal of Informetrics, Elsevier, vol. 12(4), pages 1182-1193.
  82. 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.
  83. Kalliopi Kanaki & Michail Kalogiannakis & Emmanouil Poulakis & Panagiotis Politis, 2022. "Investigating the Association between Algorithmic Thinking and Performance in Environmental Study," Sustainability, MDPI, vol. 14(17), pages 1-16, August.
  84. 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.
  85. 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.
  86. 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.
  87. Wolfgang Glänzel & Bart Thijs & Pei-Shan Chi, 2016. "The challenges to expand bibliometric studies from periodical literature to monographic literature with a new data source: the book citation index," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 2165-2179, December.
  88. 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).
  89. 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.
  90. 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.
  91. 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.
  92. Mario Coccia & Barry Bozeman, 2016. "Allometric models to measure and analyze the evolution of international research collaboration," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(3), pages 1065-1084, September.
  93. Christoph Neuhaus & Hans-Dieter Daniel, 2009. "A new reference standard for citation analysis in chemistry and related fields based on the sections of Chemical Abstracts," Scientometrics, Springer;Akadémiai Kiadó, vol. 78(2), pages 219-229, February.
  94. Natascha Helena Franz Hoppen & Samile Andréa de Souza Vanz, 2023. "The development of Brazilian women’s and gender studies: a bibliometric diagnosis," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(1), pages 227-261, January.
  95. 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).
  96. Bart Thijs & Wolfgang Glänzela, 2009. "A structural analysis of benchmarks on different bibliometrical indicators for European research institutes based on their research profile," Scientometrics, Springer;Akadémiai Kiadó, vol. 79(2), pages 377-388, May.
  97. repec:ner:leuven:urn:hdl:123456789/327130 is not listed on IDEAS
  98. Hajar Sotudeh, 2012. "How sustainable a scientifically developing country could be in its specialties? The case of Iran’s publications in SCI in the 21st century compared to 1980s," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(1), pages 231-243, April.
  99. Haiko Lietz, 2020. "Drawing impossible boundaries: field delineation of Social Network Science," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2841-2876, December.
  100. 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.
  101. Alona Zharova & Wolfgang K. Härdle & Stefan Lessmann, 2017. "Is Scientific Performance a Function of Funds?," SFB 649 Discussion Papers SFB649DP2017-028, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
  102. 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.
  103. Tan Tran, 2020. "R&D and Knowledge Expertise of French Regions," Papers in Evolutionary Economic Geography (PEEG) 2004, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Feb 2020.
  104. 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.
  105. Mingyang Wang & Zhenyu Wang & Guangsheng Chen, 2019. "Which can better predict the future success of articles? Bibliometric indices or alternative metrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(3), pages 1575-1595, June.
  106. Winkler, Anne E. & Glänzel, Wolfgang & Levin, Sharon & Stephan, Paula, 2011. "The Diffusion of Information Technology and the Increased Propensity of Teams to Transcend Institutional and National Borders," IZA Discussion Papers 5857, Institute of Labor Economics (IZA).
  107. 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.
  108. Alexis-Michel Mugabushaka & Anthi Kyriakou & Theo Papazoglou, 2016. "Bibliometric indicators of interdisciplinarity: the potential of the Leinster–Cobbold diversity indices to study disciplinary diversity," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(2), pages 593-607, May.
  109. Pei-Shan Chi & Wolfgang Glänzel, 2017. "An empirical investigation of the associations among usage, scientific collaboration and citation impact," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(1), pages 403-412, July.
  110. Wolfgang Glänzel & Bart Thijs, 2018. "The role of baseline granularity for benchmarking citation impact. The case of CSS profiles," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 521-536, July.
  111. 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.
  112. Tokmachev, Andrey M., 2023. "Hidden scales in statistics of citation indicators," Journal of Informetrics, Elsevier, vol. 17(1).
  113. Loizides, Orestis-Stavros & Koutsakis, Polychronis, 2017. "On evaluating the quality of a computer science/computer engineering conference," Journal of Informetrics, Elsevier, vol. 11(2), pages 541-552.
  114. Harlley Lima & Thiago H. P. Silva & Mirella M. Moro & Rodrygo L. T. Santos & Wagner Meira & Alberto H. F. Laender, 2015. "Assessing the profile of top Brazilian computer science researchers," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(3), pages 879-896, June.
  115. Murat Kocak & Carlos García-Zorita & Sergio Marugán-Lázaro & Murat Perit Çakır & Elías Sanz-Casado, 2019. "Mapping and clustering analysis on neuroscience literature in Turkey: a bibliometric analysis from 2000 to 2017," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(3), pages 1339-1366, December.
  116. 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.
  117. 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.
  118. 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.
  119. 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.
  120. Lundberg, Jonas, 2007. "Lifting the crown—citation z-score," Journal of Informetrics, Elsevier, vol. 1(2), pages 145-154.
  121. Jiri Vanecek & Martin Fatun & Vladimir Albrecht, 2010. "Bibliometric evaluation of the FP-5 and FP-6 results in the Czech Republic," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(1), pages 103-114, April.
  122. Guo Chen & Jing Chen & Yu Shao & Lu Xiao, 2023. "Automatic noise reduction of domain-specific bibliographic datasets using positive-unlabeled learning," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(2), pages 1187-1204, February.
  123. Zhou-min Yuan & Mingxin Yao, 2022. "Is academic writing becoming more positive? A large-scale diachronic case study of Science research articles across 25 years," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(11), pages 6191-6207, November.
  124. Hoang-Son Pham & Bram Vancraeynest & Hanne Poelmans & Sadia Vancauwenbergh & Amr Ali-Eldin, 2023. "Identifying interdisciplinary research in research projects," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(10), pages 5521-5544, October.
  125. Wolfgang Glänzel & Bart Thijs & András Schubert & Koenraad Debackere, 2009. "Subfield-specific normalized relative indicators and a new generation of relational charts: Methodological foundations illustrated on the assessment of institutional research performance," Scientometrics, Springer;Akadémiai Kiadó, vol. 78(1), pages 165-188, January.
  126. Anne E Winkler & Sharon G Levin & Paula E Stephan & Wolfgang Gl&aauml;nzel, 2014. "Publishing Trends in Economics across Colleges and Universities, 1991–2007," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 40(4), pages 560-582, September.
  127. Bar-Ilan, Judit, 2008. "Informetrics at the beginning of the 21st century—A review," Journal of Informetrics, Elsevier, vol. 2(1), pages 1-52.
  128. Wolfgang Glänzel & Sarah Heeffer & Bart Thijs, 2016. "A triangular model for publication and citation statistics of individual authors," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(2), pages 857-872, May.
  129. 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.
  130. 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.
  131. Eduardo A. Oliveira & Enrico A. Colosimo & Daniella R. Martelli & Isabel G. Quirino & Maria Christina L. Oliveira & Leonardo S. Lima & Ana Cristina Simões e Silva & Hercílio Martelli-Júnior, 2012. "Comparison of Brazilian researchers in clinical medicine: are criteria for ranking well-adjusted?," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(2), pages 429-443, February.
  132. M. Meyer & K. Debackere & W. Glänzel, 2010. "Can applied science be ‘good science’? Exploring the relationship between patent citations and citation impact in nanoscience," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(2), pages 527-539, November.
  133. 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.
  134. Tianwei He, 2013. "Retraction of global scientific publications from 2001 to 2010," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(2), pages 555-561, August.
  135. Michel Zitt, 2015. "Meso-level retrieval: IR-bibliometrics interplay and hybrid citation-words methods in scientific fields delineation," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(3), pages 2223-2245, March.
  136. Baker, H. Kent & Kumar, Satish & Goyal, Kirti & Sharma, Anuj, 2021. "International review of financial analysis: A retrospective evaluation between 1992 and 2020," International Review of Financial Analysis, Elsevier, vol. 78(C).
  137. 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.
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