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Unpacking the Matthew effect in citations

Citations

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Cited by:

  1. Wang, Jian, 2016. "Knowledge creation in collaboration networks: Effects of tie configuration," Research Policy, Elsevier, vol. 45(1), pages 68-80.
  2. Daniel Birkmaier & Klaus Wohlrabe, 2014. "Der Matthäus-Effekt in der Ökonomie," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 67(17), pages 38-42, September.
  3. 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.
  4. 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.
  5. Sotaro Shibayama & Jian Wang, 2020. "Measuring originality in science," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 409-427, January.
  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. Katchanov, Yurij L. & Markova, Yulia V. & Shmatko, Natalia A., 2023. "Empirical demonstration of the Matthew effect in scientific research careers," Journal of Informetrics, Elsevier, vol. 17(4).
  8. 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.
  9. Simone Righi & Károly Takács, 2017. "The miracle of peer review and development in science: an agent-based model," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(1), pages 587-607, October.
  10. Birkmaier, Daniel & Wohlrabe, Klaus, 2014. "The Matthew effect in economics reconsidered," Journal of Informetrics, Elsevier, vol. 8(4), pages 880-889.
  11. 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).
  12. Liao, Chien Hsiang, 2021. "The Matthew effect and the halo effect in research funding," Journal of Informetrics, Elsevier, vol. 15(1).
  13. Victor Tiberius & Meike Rietz & Ricarda B. Bouncken, 2020. "Performance Analysis and Science Mapping of Institutional Entrepreneurship Research," Administrative Sciences, MDPI, vol. 10(3), pages 1-21, September.
  14. Lin, Jun-You, 2017. "Balancing industry collaboration and academic innovation: The contingent role of collaboration-specific attributes," Technological Forecasting and Social Change, Elsevier, vol. 123(C), pages 216-228.
  15. Metcalf, Mark & Stocks, Kevin & Summers, Scott L. & Wood, David A., 2015. "Citation-based accounting education publication rankings," Journal of Accounting Education, Elsevier, vol. 33(4), pages 294-308.
  16. Mario González-Sauri & Giulia Rossello, 2023. "The Role of Early-Career University Prestige Stratification on the Future Academic Performance of Scholars," Research in Higher Education, Springer;Association for Institutional Research, vol. 64(1), pages 58-94, February.
  17. Migheli, Matteo & Zotti, Roberto, 2020. "The strange case of the Matthew effect and beauty contests: Research evaluation and specialisation in Italian universities," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
  18. Lee, You-Na & Walsh, John P. & Wang, Jian, 2015. "Creativity in scientific teams: Unpacking novelty and impact," Research Policy, Elsevier, vol. 44(3), pages 684-697.
  19. Kamal Badar & Karin Lasthuizen, 2023. "Twenty Years of Research on Millennials at Work : A Structural Review Using Bibliometric and Content Analysis," Sustainability, MDPI, vol. 15(9), pages 1-25, April.
  20. Jeon, Daeseong & Lee, Junyoup & Ahn, Joon Mo & Lee, Changyong, 2023. "Measuring the novelty of scientific publications: A fastText and local outlier factor approach," Journal of Informetrics, Elsevier, vol. 17(4).
  21. Jun-You Lin, 2021. "Collaboration exploitation and exploration: does a proactive search strategy matter?," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(10), pages 8295-8329, October.
  22. Borozan, Miloš & Loreta, Cannito & Riccardo, Palumbo, 2022. "Eye-tracking for the study of financial decision-making: A systematic review of the literature," Journal of Behavioral and Experimental Finance, Elsevier, vol. 35(C).
  23. 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.
  24. Wang, Jian & Hicks, Diana, 2015. "Scientific teams: Self-assembly, fluidness, and interdependence," Journal of Informetrics, Elsevier, vol. 9(1), pages 197-207.
  25. Shi, Yupeng & Wang, Yao, 2024. "Possibilities for mitigating the Matthew effect in low-carbon development: Insights from convergence analysis," Energy, Elsevier, vol. 289(C).
  26. 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.
  27. 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.
  28. Chan, Ho Fai & Savage, David A. & Torgler, Benno, 2019. "There and back again: Adaptation after repeated rule changes of the game," Journal of Economic Psychology, Elsevier, vol. 75(PB).
  29. Rubin, Amir & Rubin, Eran & Segal, Dan, 2023. "Editor home bias?," Research Policy, Elsevier, vol. 52(6).
  30. 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.
  31. Xue Yang & Xin Gu & Yuandi Wang & Guangyuan Hu & Li Tang, 2015. "The Matthew effect in China’s science: evidence from academicians of Chinese Academy of Sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(3), pages 2089-2105, March.
  32. Byeongwoo Kang & Kazuyuki Motohashi, 2020. "Academic contribution to industrial innovation by funding type," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 169-193, July.
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