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What do We Know of the Mobility of Research Scientists and of its Impact on Scientific Production

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In this chapter we review the literature on the analysis of researcher mobility and productivity highlighting recent changes in the research system - internationalization, inter-sector mobility and collaboration and career diversification which make researcher mobility more relevant for the dynamics of knowledge creation and dissemination. Our review reveals that to date we still know little about the consequences and motivations of increased mobility for individual researchers. We contribute by presenting a typology of researcher mobility, and considering the relevance of multiple mobility events throughout a researcher career. Finally, we review the modeling problems related to analyzing the effect of mobility on academic performance at the individual level, and suggest various solutions.

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  • Fernandez-Zubieta, Ana & Geuna, Aldo & Lawson, Cornelia, 2015. "What do We Know of the Mobility of Research Scientists and of its Impact on Scientific Production," Department of Economics and Statistics Cognetti de Martiis LEI & BRICK - Laboratory of Economics of Innovation "Franco Momigliano", Bureau of Research in Innovation, Complexity and Knowledge, Collegio 201508, University of Turin.
  • Handle: RePEc:uto:labeco:201508
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    2. Valentina Tartari & Francesco Di Lorenzo & Benjamin A. Campbell, 2020. "“Another roof, another proof”: the impact of mobility on individual productivity in science," The Journal of Technology Transfer, Springer, vol. 45(1), pages 276-303, February.
    3. 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.
    4. Olof Ejermo & Claudio Fassio & John Källström, 2020. "Does Mobility across Universities Raise Scientific Productivity?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(3), pages 603-624, June.
    5. Magnus Gulbrandsen & Taran Thune, 2017. "The effects of non-academic work experience on external interaction and research performance," The Journal of Technology Transfer, Springer, vol. 42(4), pages 795-813, August.
    6. Liu, Meijun & Hu, Xiao, 2021. "Will collaborators make scientists move? A Generalized Propensity Score analysis," Journal of Informetrics, Elsevier, vol. 15(1).
    7. Robert Tijssen & Wouter van de Klippe & Alfredo Yegros, 2020. "Localization, regionalization and globalization of university‐business research co‐operation in the United Kingdom," Papers in Regional Science, Wiley Blackwell, vol. 99(5), pages 1215-1236, October.
    8. Ying Zhang & Cornelia Lawson & Liangping Ding, 2023. "Can scientists remain internationally visible after the return to their home country? A study of Chinese scientists," MIOIR Working Paper Series 2023-01, The Manchester Institute of Innovation Research (MIoIR), The University of Manchester.
    9. Junwan Liu & Rui Wang & Shuo Xu, 2021. "What academic mobility configurations contribute to high performance: an fsQCA analysis of CSC-funded visiting scholars," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 1079-1100, February.
    10. Mads P. Sørensen & Jesper Wiborg Schneider, 2017. "Studies of national research performance: A case of ‘methodological nationalism’ and ‘zombie science’?," Science and Public Policy, Oxford University Press, vol. 44(1), pages 132-145.
    11. Bonaccorsi, Andrea & Haddawy, Peter & Cicero, Tindaro & Hassan, Saeed-Ul, 2017. "The solitude of stars. An analysis of the distributed excellence model of European universities," Journal of Informetrics, Elsevier, vol. 11(2), pages 435-454.
    12. Orazbayev, Sultan, 2017. "Immigration barriers and net brain drain," MPRA Paper 78058, University Library of Munich, Germany.

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    18. 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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