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Continued collaboration shortens the transition period of scientists who move to another institution

Author

Listed:
  • Liyin Zhang

    (Nanjing University)

  • Yuchen Qian

    (Nanjing University)

  • Chao Ma

    (Southeast University)

  • Jiang Li

    (Nanjing University)

Abstract

Scientific collaboration plays a significant role in scientists’ research performance. When scientists move from one institution to another and leave the team they belong to or lead, they may continue collaborating with the former team because engaging in or building a new team takes time. In this study, we collected data from the Open Researcher and Contributor ID (ORCID) website on 2,922 scientists who published first-tier journal papers defined by the Chinese Academy of Science (CAS) before they moved to a new institution. By applying a Poisson regression model to the dataset, we explored the correlation between continued collaboration and the transition period after scientists moved, which is defined as the time span between the year of the move and the year when they published their first top-tier journal paper after moving. Our findings indicated that: (1) continued collaboration significantly shortens the transition period by 27.2%; (2) continued collaboration significantly shortens the transition period of senior scientists to a larger extent than that of junior scientists; (3) continued collaboration significantly shortens the transition period of social scientists to a larger extent than that of natural scientists; (4) the transition period is shorter after moves for scientists with higher inherent potential; and (5) there is no evidence that the transition period is associated with culture-related differences between the origin country and the destination country after the move, or whether they had lived in the destination country before.

Suggested Citation

  • Liyin Zhang & Yuchen Qian & Chao Ma & Jiang Li, 2023. "Continued collaboration shortens the transition period of scientists who move to another institution," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(3), pages 1765-1784, March.
  • Handle: RePEc:spr:scient:v:128:y:2023:i:3:d:10.1007_s11192-022-04617-x
    DOI: 10.1007/s11192-022-04617-x
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    References listed on IDEAS

    as
    1. Azoulay, Pierre & Ganguli, Ina & Graff Zivin, Joshua, 2017. "The mobility of elite life scientists: Professional and personal determinants," Research Policy, Elsevier, vol. 46(3), pages 573-590.
    2. Quirin Schiermeier, 2011. "Career choices: The mobility imperative," Nature, Nature, vol. 470(7335), pages 563-564, February.
    3. Benjamin F. Jones, 2009. "The Burden of Knowledge and the "Death of the Renaissance Man": Is Innovation Getting Harder?," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 76(1), pages 283-317.
    4. 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.
    5. Joshua Ettinger & Friederike E. L. Otto & E. Lisa F. Schipper, 2021. "Storytelling can be a powerful tool for science," Nature, Nature, vol. 589(7842), pages 352-352, January.
    6. Baruffaldi, Stefano H. & Landoni, Paolo, 2012. "Return mobility and scientific productivity of researchers working abroad: The role of home country linkages," Research Policy, Elsevier, vol. 41(9), pages 1655-1665.
    7. Ana Fernández-Zubieta & Aldo Geuna & Cornelia Lawson, 2016. "Productivity pay-offs from academic mobility: should I stay or should I go?," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 25(1), pages 91-114.
    8. Lutz Bornmann, 2017. "Is collaboration among scientists related to the citation impact of papers because their quality increases with collaboration? An analysis based on data from F1000Prime and normalized citation scores," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(4), pages 1036-1047, April.
    9. George J. Borjas & Kirk B. Doran, 2015. "Which Peers Matter? The Relative Impacts of Collaborators, Colleagues, and Competitors," The Review of Economics and Statistics, MIT Press, vol. 97(5), pages 1104-1117, December.
    10. Roderik Ponds & Frank Van Oort & Koen Frenken, 2007. "The geographical and institutional proximity of research collaboration," Papers in Regional Science, Wiley Blackwell, vol. 86(3), pages 423-443, August.
    11. Johan S. G. Chu & James A. Evans, 2021. "Slowed canonical progress in large fields of science," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 118(41), pages 2021636118-, October.
    12. Gomez, Charles J. & Herman, Andrew C. & Parigi, Paolo, 2020. "Moving more, but closer: Mapping the growing regionalization of global scientific mobility using ORCID," Journal of Informetrics, Elsevier, vol. 14(3).
    13. Karin Mayr & Giovanni Peri, 2008. "Return Migration as Channel of Brain Gain," RF Berlin - CReAM Discussion Paper Series 0804, Rockwool Foundation Berlin (RF Berlin) - Centre for Research and Analysis of Migration (CReAM).
    14. Cruz-Castro, Laura & Sanz-Menéndez, Luis, 2010. "Mobility versus job stability: Assessing tenure and productivity outcomes," Research Policy, Elsevier, vol. 39(1), pages 27-38, February.
    15. Jovanovic, Boyan, 1979. "Job Matching and the Theory of Turnover," Journal of Political Economy, University of Chicago Press, vol. 87(5), pages 972-990, October.
    16. Yi Bu & Ying Ding & Xingkun Liang & Dakota S. Murray, 2018. "Understanding persistent scientific collaboration," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 69(3), pages 438-448, March.
    17. 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.
    18. Mitcham, Carl & Emeritus,, 2021. "Science policy and democracy," Technology in Society, Elsevier, vol. 67(C).
    19. Fengli Xu & Lingfei Wu & James Evans, 2022. "Flat teams drive scientific innovation," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 119(23), pages 2200927119-, June.
    20. Maki Kato & Asao Ando, 2013. "The relationship between research performance and international collaboration in chemistry," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(3), pages 535-553, December.
    21. Shouhuai Xu & Moti Yung & Jingguo Wang, 2021. "Seeking Foundations for the Science of Cyber Security," Information Systems Frontiers, Springer, vol. 23(2), pages 263-267, April.
    22. 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.
    23. Pierre Azoulay & Joshua S. Graff Zivin & Jialan Wang, 2010. "Superstar Extinction," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(2), pages 549-589.
    24. O. Mryglod & R. Kenna & Yu. Holovatch & B. Berche, 2013. "Absolute and specific measures of research group excellence," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(1), pages 115-127, April.
    25. Bammer, Gabriele, 2008. "Enhancing research collaborations: Three key management challenges," Research Policy, Elsevier, vol. 37(5), pages 875-887, June.
    26. Vincent Larivière & Yves Gingras & Éric Archambault, 2006. "Canadian collaboration networks: A comparative analysis of the natural sciences, social sciences and the humanities," Scientometrics, Springer;Akadémiai Kiadó, vol. 68(3), pages 519-533, September.
    27. Hoisl, Karin, 2007. "Tracing mobile inventors--The causality between inventor mobility and inventor productivity," Research Policy, Elsevier, vol. 36(5), pages 619-636, June.
    28. Carolin Haeussler & Henry Sauermann, 2016. "The Division of Labor in Teams: A Conceptual Framework and Application to Collaborations in Science," NBER Working Papers 22241, National Bureau of Economic Research, Inc.
    29. Carolina Cañibano & Javier Otamendi & Inés Andújar, 2008. "Measuring and assessing researcher mobility from CV analysis: the case of the Ramón y Cajal programme in Spain," Research Evaluation, Oxford University Press, vol. 17(1), pages 17-31, March.
    30. O. Mryglod & R. Kenna & Yu. Holovatch & B. Berche, 2013. "Comparison of a citation-based indicator and peer review for absolute and specific measures of research-group excellence," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(3), pages 767-777, December.
    31. Yi Bu & Dakota S. Murray & Ying Ding & Yong Huang & Yiming Zhao, 2018. "Measuring the stability of scientific collaboration," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(2), pages 463-479, February.
    32. Andre Torre & Alain Rallet, 2005. "Proximity and Localization," Regional Studies, Taylor & Francis Journals, vol. 39(1), pages 47-59.
    33. Geuna, Aldo (ed.), 2015. "Global Mobility of Research Scientists," Elsevier Monographs, Elsevier, edition 1, number 9780128013960.
    34. Zuo, Zhiya & Zhao, Kang, 2018. "The more multidisciplinary the better? – The prevalence and interdisciplinarity of research collaborations in multidisciplinary institutions," Journal of Informetrics, Elsevier, vol. 12(3), pages 736-756.
    35. Tung, Rosalie L., 2008. "Brain circulation, diaspora, and international competitiveness," European Management Journal, Elsevier, vol. 26(5), pages 298-304, October.
    36. Vincent Larivière & Yves Gingras & Cassidy R. Sugimoto & Andrew Tsou, 2015. "Team size matters: Collaboration and scientific impact since 1900," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(7), pages 1323-1332, July.
    37. Shalabh, 2021. "Statistical inference via data science," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(3), pages 1155-1155, July.
    38. Bhagwati, Jagdish & Hamada, Koichi, 1974. "The brain drain, international integration of markets for professionals and unemployment : A theoretical analysis," Journal of Development Economics, Elsevier, vol. 1(1), pages 19-42, April.
    39. Chenwei Zhang & Yi Bu & Ying Ding & Jian Xu, 2018. "Understanding scientific collaboration: Homophily, transitivity, and preferential attachment," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 69(1), pages 72-86, January.
    40. Zhao, Zhenyue & Bu, Yi & Kang, Lele & Min, Chao & Bian, Yiyang & Tang, Li & Li, Jiang, 2020. "An investigation of the relationship between scientists’ mobility to/from China and their research performance," Journal of Informetrics, Elsevier, vol. 14(2).
    41. Meijun Liu & Xiao Hu & Markus Schedl, 2018. "The relation of culture, socio-economics, and friendship to music preferences: A large-scale, cross-country study," PLOS ONE, Public Library of Science, vol. 13(12), pages 1-29, December.
    42. Abhay S. D. Rajput & Sangeeta Sharma, 2021. "India: draft science policy calls for public engagement," Nature, Nature, vol. 592(7852), pages 26-26, April.
    43. Lisa Mandle & Analisa Shields-Estrada & Rebecca Chaplin-Kramer & Matthew G. E. Mitchell & Leah L. Bremer & Jesse D. Gourevitch & Peter Hawthorne & Justin A. Johnson & Brian E. Robinson & Jeffrey R. Sm, 2021. "Increasing decision relevance of ecosystem service science," Nature Sustainability, Nature, vol. 4(2), pages 161-169, February.
    44. Shibayama, Sotaro & Baba, Yasunori & Walsh, John P., 2015. "Organizational design of University laboratories: Task allocation and lab performance in Japanese bioscience laboratories," Research Policy, Elsevier, vol. 44(3), pages 610-622.
    45. Jean J. Wang & Sarah X. Shao & Fred Y. Ye, 2021. "Identifying 'seed' papers in sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 6001-6011, July.
    46. Vadim N. Gureyev & Nikolay A. Mazov & Denis V. Kosyakov & Andrey E. Guskov, 2020. "Review and analysis of publications on scientific mobility: assessment of influence, motivation, and trends," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1599-1630, August.
    47. Koen Jonkers & Robert Tijssen, 2008. "Chinese researchers returning home: Impacts of international mobility on research collaboration and scientific productivity," Scientometrics, Springer;Akadémiai Kiadó, vol. 77(2), pages 309-333, November.
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