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Scientific collaboration and career stages: An ego-centric perspective

Author

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  • Lu, Wei
  • Ren, Yan
  • Huang, Yong
  • Bu, Yi
  • Zhang, Yuehan

Abstract

In scientific research collaboration, researchers collaborate with different scholars throughout their career stages. Researchers at different career stages may play various roles in science teams. This paper focuses only on the researchers’ roles in their respective science teams, defined as “relative roles” here, rather than comparing roles among researchers. As the academic age of researchers is increasing, researchers formulate the positive (e.g., junior-peer-senior) or negative growth trajectories (e.g., peer-peer-junior) of the relative roles throughout their career stages, which are defined as the “relative role growth patterns”. Further, these growth patterns can be divided into different “relative role growth types” according to their several common characteristics. By constructing ego-centric networks of researchers based on academic age, this paper investigates the changing relative roles of researchers at different career stages and relative role growth types summarized from multiple growth patterns, and then analyzes the collaborative ability (i.e., collaboration frequencies and number of collaborators) and research performance under different growth types. In addition, we also discuss the influence of collaborators on the formation of relative role growth types. We find 13 relative role growth patterns and summarize them into four growth types. The four growth types have diverse collaborative ability and research performance. Different collaborators have different effects on the formation of growth types of researchers. Collaborators who have high productivity and high citations per paper have a positive influence on researchers’ growth and vice versa. This study could be useful for researchers planning career development, also for policymakers and university administrators.

Suggested Citation

  • 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).
  • Handle: RePEc:eee:infome:v:15:y:2021:i:4:s175115772100078x
    DOI: 10.1016/j.joi.2021.101207
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    References listed on IDEAS

    as
    1. Zhifeng Yin & Qiang Zhi, 2017. "Dancing with the academic elite: a promotion or hindrance of research production?," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(1), pages 17-41, January.
    2. Wei Wang & Shuo Yu & Teshome Megersa Bekele & Xiangjie Kong & Feng Xia, 2017. "Scientific collaboration patterns vary with scholars’ academic ages," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(1), pages 329-343, July.
    3. Bordons, María & Aparicio, Javier & González-Albo, Borja & Díaz-Faes, Adrián A., 2015. "The relationship between the research performance of scientists and their position in co-authorship networks in three fields," Journal of Informetrics, Elsevier, vol. 9(1), pages 135-144.
    4. Andrej Kastrin & Jelena Klisara & Borut Lužar & Janez Povh, 2018. "Is science driven by principal investigators?," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(2), pages 1157-1182, November.
    5. Kong, Xiangjie & Mao, Mengyi & Jiang, Huizhen & Yu, Shuo & Wan, Liangtian, 2019. "How does collaboration affect researchers’ positions in co-authorship networks?," Journal of Informetrics, Elsevier, vol. 13(3), pages 887-900.
    6. Tol, Richard S.J., 2013. "The Matthew effect for cohorts of economists," Journal of Informetrics, Elsevier, vol. 7(2), pages 522-527.
    7. Stanislaw Drozdz & Andrzej Kulig & Jaroslaw Kwapien & Artur Niewiarowski & Marek Stanuszek, 2017. "Hierarchical organization of H. Eugene Stanley scientific collaboration community in weighted network representation," Papers 1705.06208, arXiv.org, revised Oct 2017.
    8. R. Dean Malmgren & Julio M. Ottino & Luís A. Nunes Amaral, 2010. "The role of mentorship in protégé performance," Nature, Nature, vol. 465(7298), pages 622-626, June.
    9. Blaise Cronin & Lokman Meho, 2006. "Using the h‐index to rank influential information scientistss," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(9), pages 1275-1278, July.
    10. Fuyuki Yoshikane & Takayuki Nozawa & Susumu Shibui & Takafumi Suzuki, 2009. "An analysis of the connection between researchers’ productivity and their co-authors’ past attributions, including the importance in collaboration networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 79(2), pages 435-449, May.
    11. Fuyuki Yoshikane & Takayuki Nozawa & Keita Tsuji, 2006. "Comparative analysis of co-authorship networks considering authors' roles in collaboration: Differences between the theoretical and application areas," Scientometrics, Springer;Akadémiai Kiadó, vol. 68(3), pages 643-655, September.
    12. Mary Feeney & Eric Welch, 2014. "Academic outcomes among principal investigators, co-principal investigators, and non-PI researchers," The Journal of Technology Transfer, Springer, vol. 39(1), pages 111-133, February.
    13. Thijs Bol & Mathijs de Vaan & Arnout van de Rijt, 2018. "The Matthew effect in science funding," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 115(19), pages 4887-4890, May.
    14. 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.
    15. Drożdż, Stanisław & Kulig, Andrzej & Kwapień, Jarosław & Niewiarowski, Artur & Stanuszek, Marek, 2017. "Hierarchical organization of H. Eugene Stanley scientific collaboration community in weighted network representation," Journal of Informetrics, Elsevier, vol. 11(4), pages 1114-1127.
    16. He, Zi-Lin & Geng, Xue-Song & Campbell-Hunt, Colin, 2009. "Research collaboration and research output: A longitudinal study of 65 biomedical scientists in a New Zealand university," Research Policy, Elsevier, vol. 38(2), pages 306-317, March.
    17. Staša Milojević & Filippo Radicchi & John P. Walsh, 2018. "Changing demographics of scientific careers: The rise of the temporary workforce," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 115(50), pages 12616-12623, December.
    18. Jean F. Liénard & Titipat Achakulvisut & Daniel E. Acuna & Stephen V. David, 2018. "Intellectual synthesis in mentorship determines success in academic careers," Nature Communications, Nature, vol. 9(1), pages 1-13, December.
    19. Cassidy R. Sugimoto & Thomas J. Sugimoto & Andrew Tsou & Staša Milojević & Vincent Larivière, 2016. "Age stratification and cohort effects in scholarly communication: a study of social sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 997-1016, November.
    20. Julia Melkers & Fang Xiao, 2012. "Boundary-spanning in emerging technology research: determinants of funding success for academic scientists," The Journal of Technology Transfer, Springer, vol. 37(3), pages 251-270, June.
    21. Weihua Li & Tomaso Aste & Fabio Caccioli & Giacomo Livan, 2019. "Early coauthorship with top scientists predicts success in academic careers," Nature Communications, Nature, vol. 10(1), pages 1-9, December.
    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. Bai, Xiaomei & Zhang, Fuli & Lee, Ivan, 2019. "Predicting the citations of scholarly paper," Journal of Informetrics, Elsevier, vol. 13(1), pages 407-418.
    24. Bozeman, Barry & Corley, Elizabeth, 2004. "Scientists' collaboration strategies: implications for scientific and technical human capital," Research Policy, Elsevier, vol. 33(4), pages 599-616, May.
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    4. 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).

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