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What is the best article publishing strategy for early career scientists?

Author

Listed:
  • Yajie Zhang

    (Northwest A&F University)

  • Qiang Yu

    (Northwest A&F University)

Abstract

To date, it remains unclear how different approaches to early career publishing behaviors (e.g., publishing papers in the same journal or in different journals) may benefit a young scholar’s career success. In this paper, we develop a quantitative understanding of this question, analyzing 2982 qualified authorships who have academic ages ≥ 5 years and publications ≥ 3 during the first five years of their careers from 37,542 publications in three fields of science. We defined author categories by three particular publishing behaviors, and determined how authors performed in their subsequent academic careers by using six bibliometric proxies. From the results of Welch’s ANOVA and Games–Howell multiple comparisons test, we found that the best publishing choice included publishing some of the author’s papers in the same journal. This early career publishing choice may produce a dramatic increase in career success as seen in higher numbers of publications and collaborators, and a higher h-index, with different magnitudes for different scientific fields and authorships. Our findings illustrate the role that early career publishing behavior plays in relation to future career success and indicate that in order to maximize career outcomes, an advantageous publishing strategy for early career scholars is to publish some of their papers in the same journal.

Suggested Citation

  • Yajie Zhang & Qiang Yu, 2020. "What is the best article publishing strategy for early career scientists?," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 397-408, January.
  • Handle: RePEc:spr:scient:v:122:y:2020:i:1:d:10.1007_s11192-019-03297-4
    DOI: 10.1007/s11192-019-03297-4
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    References listed on IDEAS

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    1. Aria, Massimo & Cuccurullo, Corrado, 2017. "bibliometrix: An R-tool for comprehensive science mapping analysis," Journal of Informetrics, Elsevier, vol. 11(4), pages 959-975.
    2. Vincent Larivière & Chaoqun Ni & Yves Gingras & Blaise Cronin & Cassidy R. Sugimoto, 2013. "Bibliometrics: Global gender disparities in science," Nature, Nature, vol. 504(7479), pages 211-213, December.
    3. Francesca De Battisti & Silvia Salini, 2013. "Robust analysis of bibliometric data," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 22(2), pages 269-283, June.
    4. Abramo, Giovanni & D'Angelo, Ciriaco Andrea & Di Costa, Flavia, 2019. "Diversification versus specialization in scientific research: Which strategy pays off?," Technovation, Elsevier, vol. 82, pages 51-57.
    5. Vincent Larivière & Rodrigo Costas, 2016. "How Many Is Too Many? On the Relationship between Research Productivity and Impact," PLOS ONE, Public Library of Science, vol. 11(9), pages 1-10, September.
    6. Rodrigo Costas & Thed N. Leeuwen & María Bordons, 2010. "Self-citations at the meso and individual levels: effects of different calculation methods," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(3), pages 517-537, March.
    7. repec:nas:journl:v:115:y:2018:p:12616-12623 is not listed on IDEAS
    8. Daniel E. Acuna & Stefano Allesina & Konrad P. Kording, 2012. "Predicting scientific success," Nature, Nature, vol. 489(7415), pages 201-202, September.
    9. Sergey Kolesnikov & Eriko Fukumoto & Barry Bozeman, 2018. "Researchers’ risk-smoothing publication strategies: Is productivity the enemy of impact?," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(3), pages 1995-2017, September.
    10. MARK J. McCABE & CHRISTOPHER M. SNYDER, 2014. "Identifying The Effect Of Open Access On Citations Using A Panel Of Science Journals," Economic Inquiry, Western Economic Association International, vol. 52(4), pages 1284-1300, October.
    11. 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.
    12. repec:nas:journl:v:115:y:2018:p:12603-12607 is not listed on IDEAS
    13. Waltman, Ludo, 2012. "An empirical analysis of the use of alphabetical authorship in scientific publishing," Journal of Informetrics, Elsevier, vol. 6(4), pages 700-711.
    14. 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.
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    Cited by:

    1. Meijun Liu & Sijie Yang & Yi Bu & Ning Zhang, 2023. "Female early-career scientists have conducted less interdisciplinary research in the past six decades: evidence from doctoral theses," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-16, December.
    2. 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.
    3. Hou, Li & Wu, Qiang & Xie, Yundong, 2024. "Does open identity of peer reviewers positively relate to citations?," Journal of Informetrics, Elsevier, vol. 18(1).

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