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Towards an explanatory and computational theory of scientific discovery

Citations

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Cited by:

  1. Jacob Wood & Gohar Feroz Khan, 2015. "International trade negotiation analysis: network and semantic knowledge infrastructure," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(1), pages 537-556, October.
  2. Stephen Carley & Alan L. Porter, 2012. "A forward diversity index," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(2), pages 407-427, February.
  3. Xiaoying Li & Suyuan Peng & Jian Du, 2021. "Towards medical knowmetrics: representing and computing medical knowledge using semantic predications as the knowledge unit and the uncertainty as the knowledge context," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 6225-6251, July.
  4. Penghao Ye & Huarong Zhang & Siyi Ma & Fang Yang & Yanan Li, 2022. "A Knowledge Map Study of an Application of a Smart Land Planning Free-Trade Zone and China’s Contribution," Land, MDPI, vol. 11(6), pages 1-21, June.
  5. Xu, Xiaoxiao & Yu, Hao & Sun, Qiuwen & Tam, Vivian W.Y., 2023. "A critical review of occupant energy consumption behavior in buildings: How we got here, where we are, and where we are headed," Renewable and Sustainable Energy Reviews, Elsevier, vol. 182(C).
  6. Yiming Xiao & Han Wu & Guohua Wang & Hong Mei, 2021. "Mapping the Worldwide Trends on Energy Poverty Research: A Bibliometric Analysis (1999–2019)," IJERPH, MDPI, vol. 18(4), pages 1-22, February.
  7. Jose Torres-Pruñonosa & Miquel Angel Plaza-Navas & Francisco Díez-Martín & Albert Beltran-Cangrós, 2021. "The Intellectual Structure of Social and Sustainable Public Procurement Research: A Co-Citation Analysis," Sustainability, MDPI, vol. 13(2), pages 1-33, January.
  8. 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.
  9. 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).
  10. 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).
  11. 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.
  12. Pedro Cosme Vieira & Aurora A. C. Teixeira, 2010. "Are finance, management, and marketing autonomous fields of scientific research? An analysis based on journal citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(3), pages 627-646, December.
  13. Srayan Datta & Eytan Adar, 2018. "A generative model for scientific concept hierarchies," PLOS ONE, Public Library of Science, vol. 13(2), pages 1-19, February.
  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. Ren, Yi-Shuai & Ma, Chao-Qun & Kong, Xiao-Lin & Baltas, Konstantinos & Zureigat, Qasim, 2022. "Past, present, and future of the application of machine learning in cryptocurrency research," Research in International Business and Finance, Elsevier, vol. 63(C).
  16. 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.
  17. Michelle Jin Yee Neoh & Alessandro Carollo & Mengyu Lim & Gianluca Esposito, 2023. "Hikikomori: A Scientometric Review of 20 Years of Research," IJERPH, MDPI, vol. 20(9), pages 1-19, April.
  18. Rossello, Giulia & Cowan, Robin & Mairesse, Jacques, 2020. "Ph.D. research output in STEM: the role of gender and race in supervision," MERIT Working Papers 2020-021, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
  19. Bote Qi & Shuting Jin & Hongsheng Qian & Yu Zou, 2020. "Bibliometric Analysis of Chronic Traumatic Encephalopathy Research from 1999 to 2019," IJERPH, MDPI, vol. 17(15), pages 1-15, July.
  20. Scott Christley & Gary An, 2012. "A proposal for augmenting biological model construction with a semi-intelligent computational modeling assistant," Computational and Mathematical Organization Theory, Springer, vol. 18(4), pages 380-403, December.
  21. Souzanchi Kashani, Ebrahim & Roshani, Saeed, 2019. "Evolution of innovation system literature: Intellectual bases and emerging trends," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 68-80.
  22. Chencheng Fang & Jiantong Zhang & Wei Qiu, 2017. "Online classified advertising: a review and bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(3), pages 1481-1511, December.
  23. Giulia Rossello & Robin Cowan & Jacques Mairesse, 2024. "Ph.D. publication productivity: the role of gender and race in supervision in South Africa," Journal of Productivity Analysis, Springer, vol. 61(3), pages 215-227, June.
  24. Tian Wang & Zhaoping Yang & Xiaodong Chen & Fang Han, 2022. "Bibliometric Analysis and Literature Review of Tourism Destination Resilience Research," IJERPH, MDPI, vol. 19(9), pages 1-16, May.
  25. Xian Li & Ronald Rousseau & Liming Liang & Fangjie Xi & Yushuang Lü & Yifan Yuan & Xiaojun Hu, 2022. "Is low interdisciplinarity of references an unexpected characteristic of Nobel Prize winning research?," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(4), pages 2105-2122, April.
  26. 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.
  27. Han, Linlin & Shan, Zidan & Lei, Ming & Long, Suwan(Cheng), 2024. "A comparative study of international and Chinese digitization from the perspective of mapping knowledge domains," International Review of Economics & Finance, Elsevier, vol. 89(PB), pages 93-113.
  28. Majdi Argoubi & Emna Ammari & Hatem Masri, 2021. "A scientometric analysis of Operations Research and Management Science research in Africa," Operational Research, Springer, vol. 21(3), pages 1827-1843, September.
  29. 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.
  30. Zhengai Dong & Lichen Zhang & Houjian Li & Yanhui Gong & Yue Jiang & Qiumei Peng, 2022. "Knowledge Mapping and Institutional Prospects on Circular Carbon Economy Based on Scientometric Analysis," IJERPH, MDPI, vol. 19(19), pages 1-25, September.
  31. 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.
  32. 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.
  33. Small, Henry & Boyack, Kevin W. & Klavans, Richard, 2014. "Identifying emerging topics in science and technology," Research Policy, Elsevier, vol. 43(8), pages 1450-1467.
  34. 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.
  35. Foster, Jacob G. & Shi, Feng & Evans, James, 2021. "Surprise! Measuring Novelty as Expectation Violation," SocArXiv 2t46f, Center for Open Science.
  36. Jun Gao & Muhammad Faheem & Xiang Yu, 2022. "Global Research on Contaminated Soil Remediation: A Bibliometric Network Analysis," Land, MDPI, vol. 11(9), pages 1-16, September.
  37. Jianhua Hou & Bili Zheng & Yang Zhang & Chaomei Chen, 2021. "How do Price medalists’ scholarly impact change before and after their awards?," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 5945-5981, July.
  38. Xiaojun Du & Fei Feng & Wei Lv, 2022. "Bibliometric Overview of Organizational Legitimacy Research," SAGE Open, , vol. 12(2), pages 21582440221, May.
  39. 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.
  40. M. Laura Frigotto & Massimo Riccaboni, 2011. "A few special cases: scientific creativity and network dynamics in the field of rare diseases," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(1), pages 397-420, October.
  41. Francisco Diez-Martin & Alicia Blanco-Gonzalez & Camilo Prado-Roman, 2019. "Research Challenges in Digital Marketing: Sustainability," Sustainability, MDPI, vol. 11(10), pages 1-13, May.
  42. J. J. Winnink & Robert J. W. Tijssen, 2014. "R&D dynamics and scientific breakthroughs in HIV/AIDS drugs development: the case of Integrase Inhibitors," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 1-16, October.
  43. Gohar Feroz Khan & Jacob Wood, 2015. "Information technology management domain: emerging themes and keyword analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(2), pages 959-972, November.
  44. Rogier Langhe, 2017. "Towards the discovery of scientific revolutions in scientometric data," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(1), pages 505-519, January.
  45. Francisco Díez-Martín & Alicia Blanco-González & Camilo Prado-Román, 2021. "The intellectual structure of organizational legitimacy research: a co-citation analysis in business journals," Review of Managerial Science, Springer, vol. 15(4), pages 1007-1043, May.
  46. Souzanchi Kashani, Ebrahim & Radosevic, Slavo & Kiamehr, Mehdi & Gholizadeh, Hossein, 2022. "The intellectual evolution of the technological catch-up literature: Bibliometric analysis," Research Policy, Elsevier, vol. 51(7).
  47. Pin Li & Guoli Yang & Chuanqi Wang, 2019. "Visual topical analysis of library and information science," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(3), pages 1753-1791, December.
  48. Yuqing Fang, 2015. "Visualizing the structure and the evolving of digital medicine: a scientometrics review," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(1), pages 5-21, October.
  49. 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.
  50. Carlos Olmeda-Gómez & Maria-Antonia Ovalle-Perandones & Antonio Perianes-Rodríguez, 2017. "Co-word analysis and thematic landscapes in Spanish information science literature, 1985–2014," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(1), pages 195-217, October.
  51. Peng Cheng & Houtian Tang & Yue Dong & Ke Liu & Ping Jiang & Yaolin Liu, 2021. "Knowledge Mapping of Research on Land Use Change and Food Security: A Visual Analysis Using CiteSpace and VOSviewer," IJERPH, MDPI, vol. 18(24), pages 1-22, December.
  52. Huamei Shao & Gunwoo Kim & Qing Li & Galen Newman, 2021. "Web of Science-Based Green Infrastructure: A Bibliometric Analysis in CiteSpace," Land, MDPI, vol. 10(7), pages 1-19, July.
  53. Maria Laura Victoria Marques & Ronaldo Seroa da Motta & Daniel de Abreu Pereira Uhr & Julia Ziero Uhr, 2024. "45 Years of Publications in Energy Economics: Evolution and Thematic Trends," Papers 2407.05974, arXiv.org.
  54. Yang, Jinqing & Liu, Zhifeng, 2022. "The effect of citation behaviour on knowledge diffusion and intellectual structure," Journal of Informetrics, Elsevier, vol. 16(1).
  55. 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.
  56. Koponen, Ismo T. & Nousiainen, Maija, 2018. "Modelling students’ knowledge organisation: Genealogical conceptual networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 495(C), pages 405-417.
  57. Libo Sheng & Dongqing Lyu & Xuanmin Ruan & Hongquan Shen & Ying Cheng, 2023. "The association between prior knowledge and the disruption of an article," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(8), pages 4731-4751, August.
  58. Chen Li & Xiaohui Ji & Xuegang Luo, 2019. "Phytoremediation of Heavy Metal Pollution: A Bibliometric and Scientometric Analysis from 1989 to 2018," IJERPH, MDPI, vol. 16(23), pages 1-28, November.
  59. Tur, Elena M. & Azagra-Caro, Joaquín M., 2018. "The coevolution of endogenous knowledge networks and knowledge creation," Journal of Economic Behavior & Organization, Elsevier, vol. 145(C), pages 424-434.
  60. 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.
  61. Huang, Cui & Yang, Chao & Su, Jun, 2021. "Identifying core policy instruments based on structural holes: A case study of China’s nuclear energy policy," Journal of Informetrics, Elsevier, vol. 15(2).
  62. Jiang, Zhuoren & Lin, Tianqianjin & Huang, Cui, 2023. "Deep representation learning of scientific paper reveals its potential scholarly impact," Journal of Informetrics, Elsevier, vol. 17(1).
  63. Christopher Watts & Nigel Gilbert, 2011. "Does cumulative advantage affect collective learning in science? An agent-based simulation," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(1), pages 437-463, October.
  64. Nguyen, Ai Linh & Liu, Wenyuan & Khor, Khiam Aik & Nanetti, Andrea & Cheong, Siew Ann, 2020. "The golden eras of graphene science and technology: Bibliographic evidences from journal and patent publications," Journal of Informetrics, Elsevier, vol. 14(4).
  65. Min, Chao & Bu, Yi & Sun, Jianjun, 2021. "Predicting scientific breakthroughs based on knowledge structure variations," Technological Forecasting and Social Change, Elsevier, vol. 164(C).
  66. 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).
  67. 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.
  68. 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.
  69. Zhao Zhai & Ming Shan & Amos Darko & Albert P. C. Chan, 2021. "Corruption in Construction Projects: Bibliometric Analysis of Global Research," Sustainability, MDPI, vol. 13(8), pages 1-21, April.
  70. Fritze, Martin P. & Urmetzer, Florian & Khan, Gohar F. & Sarstedt, Marko & Neely, Andy & Schäfers, Tobias, 2018. "From Goods to Services Consumption: A Social Network Analysis on Sharing Economy and Servitization Research," SMR - Journal of Service Management Research, Nomos Verlagsgesellschaft mbH & Co. KG, vol. 2(3), pages 3-16.
  71. 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.
  72. Shao-jie Zhang & Peng-hui Lyu & Yan Yan, 2015. "Global geographical and scientometric analysis of tourism-themed research," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(1), pages 385-401, October.
  73. 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.
  74. Yan Yan & Zhewen Liao & Xiaosong Chen, 2018. "Fixed-income securities: bibliometric review with network analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(3), pages 1615-1640, September.
  75. Bobby Swar & Gohar Feroz Khan, 2014. "Mapping ICT knowledge infrastructure in South Asia," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 117-137, April.
  76. 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.
  77. 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.
  78. 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.
  79. Lambiotte, R. & Panzarasa, P., 2009. "Communities, knowledge creation, and information diffusion," Journal of Informetrics, Elsevier, vol. 3(3), pages 180-190.
  80. Jake R. Nelson & Tony H. Grubesic, 2018. "Environmental Justice: A Panoptic Overview Using Scientometrics," Sustainability, MDPI, vol. 10(4), pages 1-18, March.
  81. 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).
  82. Rousseau, Ronald & Hu, Xiaojun, 2013. "Two time series, their meaning and some applications," Journal of Informetrics, Elsevier, vol. 7(3), pages 603-610.
  83. 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.
  84. 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.
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