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Early coauthorship with top scientists predicts success in academic careers

Citations

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Cited by:

  1. Lu, Wei & Ren, Yan & Huang, Yong & Bu, Yi & Zhang, Yuehan, 2021. "Scientific collaboration and career stages: An ego-centric perspective," Journal of Informetrics, Elsevier, vol. 15(4).
  2. Darrin J. Griffin & Zachary W. Arth & Samuel D. Hakim & Brian C. Britt & James N. Gilbreath & Mackenzie P. Pike & Andrew J. Laningham & Fareed Bordbar & Sage Hart & San Bolkan, 2021. "Collaborations in communication: Authorship credit allocation via a weighted fractional count procedure," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(5), pages 4355-4372, May.
  3. 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).
  4. 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).
  5. Wu, Jiang & Ou, Guiyan & Liu, Xiaohui & Dong, Ke, 2022. "How does academic education background affect top researchers’ performance? Evidence from the field of artificial intelligence," Journal of Informetrics, Elsevier, vol. 16(2).
  6. Caviggioli, Federico & Colombelli, Alessandra & Ravetti, Chiara, 2022. "Peers and stars: the role of gender among coinventors," Department of Economics and Statistics Cognetti de Martiis. Working Papers 202217, University of Turin.
  7. 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.
  8. Sarah Shandera & Jes L Matsick & David R Hunter & Louis Leblond, 2021. "RASE: Modeling cumulative disadvantage due to marginalized group status in academia," PLOS ONE, Public Library of Science, vol. 16(12), pages 1-20, December.
  9. Ying Guo & Xiantao Xiao, 2022. "Author-level altmetrics for the evaluation of Chinese scholars," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(2), pages 973-990, February.
  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. Miura, Takahiro & Asatani, Kimitaka & Sakata, Ichiro, 2023. "Revisiting the uniformity and inconsistency of slow-cited papers in science," Journal of Informetrics, Elsevier, vol. 17(1).
  12. 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).
  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. Zhu, Wanying & Jin, Ching & Ma, Yifang & Xu, Cong, 2023. "Earlier recognition of scientific excellence enhances future achievements and promotes persistence," Journal of Informetrics, Elsevier, vol. 17(2).
  15. 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.
  16. Li Hou & Qiang Wu & Yundong Xie, 2022. "Does early publishing in top journals really predict long-term scientific success in the business field?," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(11), pages 6083-6107, November.
  17. Yadav, Anil & McHale, John & O'Neill, Stephen, 2023. "How does co-authoring with a star affect scientists' productivity? Evidence from small open economies," Research Policy, Elsevier, vol. 52(1).
  18. Hou, Li & Wu, Qiang & Xie, Yundong, 2024. "Does open identity of peer reviewers positively relate to citations?," Journal of Informetrics, Elsevier, vol. 18(1).
  19. Vincenza Carchiolo & Marco Grassia & Michele Malgeri & Giuseppe Mangioni, 2022. "Co-Authorship Networks Analysis to Discover Collaboration Patterns among Italian Researchers," Future Internet, MDPI, vol. 14(6), pages 1-15, June.
  20. Shen, Hongquan & Cheng, Ying & Ju, Xiufang & Xie, Juan, 2022. "Rethinking the effect of inter-gender collaboration on research performance for scholars," Journal of Informetrics, Elsevier, vol. 16(4).
  21. Rodrigo Dorantes-Gilardi & Aurora A. Ramírez-Álvarez & Diana Terrazas-Santamaría, 2021. "Is there a differentiated gender effect of collaboration with supercited authors? Evidence from early-career economists," Serie documentos de trabajo del Centro de Estudios Económicos 2021-05, El Colegio de México, Centro de Estudios Económicos.
  22. 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).
  23. Mahmut Ozer & Matjaz Perc & Hayri Eren Suna, 2024. "Artificial Intelligence Bias and the Amplification of Inequalities in the Labor Market," Journal of Economy Culture and Society, Istanbul University, Faculty of Economics, vol. 69(69), pages 159-168, June.
  24. Momeni, Fakhri & Karimi, Fariba & Mayr, Philipp & Peters, Isabella & Dietze, Stefan, 2022. "The many facets of academic mobility and its impact on scholars' career," Journal of Informetrics, Elsevier, vol. 16(2).
  25. 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.
  26. Xie, Qing & Zhang, Xinyuan & Kim, Giyeong & Song, Min, 2022. "Exploring the influence of coauthorship with top scientists on researchers’ affiliation, research topic, productivity, and impact," Journal of Informetrics, Elsevier, vol. 16(3).
  27. Nikoleta E. Glynatsi & Vincent A. Knight, 2021. "A bibliometric study of research topics, collaboration, and centrality in the iterated prisoner’s dilemma," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-12, December.
  28. Guo, Liying & Wang, Yang & Li, Meiling, 2024. "Exploration, exploitation and funding success: Evidence from junior scientists supported by the Chinese Young Scientists Fund," Journal of Informetrics, Elsevier, vol. 18(2).
  29. Rodrigo Dorantes-Gilardi & Aurora A. Ramírez-Álvarez & Diana Terrazas-Santamaría, 2023. "Is there a differentiated gender effect of collaboration with super-cited authors? Evidence from junior researchers in economics," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(4), pages 2317-2336, April.
  30. Batista-Jr, Antônio de Abreu & Gouveia, Fábio Castro & Mena-Chalco, Jesús P., 2021. "Predicting the Q of junior researchers using data from the first years of publication," Journal of Informetrics, Elsevier, vol. 15(2).
  31. 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).
  32. Tehmina Amjad & Javeria Munir, 2021. "Investigating the impact of collaboration with authority authors: a case study of bibliographic data in field of philosophy," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(5), pages 4333-4353, May.
  33. Halilem, Norrin & De Silva, Muthu & Amara, Nabil, 2022. "Fairly assessing unfairness: An exploration of gender disparities in informal entrepreneurship amongst academics in business schools," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
  34. Weihua Li & Sam Zhang & Zhiming Zheng & Skyler J. Cranmer & Aaron Clauset, 2022. "Untangling the network effects of productivity and prominence among scientists," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
  35. Edré Moreira & Wagner Meira & Marcos André Gonçalves & Alberto H. F. Laender, 2023. "The rise of hyperprolific authors in computer science: characterization and implications," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(5), pages 2945-2974, May.
  36. Lu Liu & Benjamin F. Jones & Brian Uzzi & Dashun Wang, 2023. "Data, measurement and empirical methods in the science of science," Nature Human Behaviour, Nature, vol. 7(7), pages 1046-1058, July.
  37. Han, Fang & Zhang, Ruhao & Zhang, Shengtai & Yuan, Junpeng, 2024. "International mobility characteristics, effects of, and effects on elite scientists," Journal of Informetrics, Elsevier, vol. 18(1).
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