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A bibliometric approach to tracking international scientific migration

Author

Listed:
  • Henk F. Moed

    (Informetric Research Group, Elsevier)

  • Gali Halevi

    (Informetric Research Group, Elsevier)

Abstract

A bibliometric approach is explored to tracking international scientific migration, based on an analysis of the affiliation countries of authors publishing in peer reviewed journals indexed in Scopus™. The paper introduces a model that relates base concepts in the study of migration to bibliometric constructs, and discusses the potentialities and limitations of a bibliometric approach both with respect to data accuracy and interpretation. Synchronous and asynchronous analyses are presented for 10 rapidly growing countries and 7 scientifically established countries. Rough error rates of the proposed indicators are estimated. It is concluded that the bibliometric approach is promising provided that its outcomes are interpreted with care, based on insight into the limits and potentialities of the approach, and combined with complementary data, obtained, for instance, from researchers’ Curricula Vitae o, survey or questionnaire- based data. Error rates for units of assessment with indicator values based on sufficiently large numbers are estimated to be fairly below 10 %, but can be expected to vary substantially among countries of origin, especially between Asian countries and Western countries.

Suggested Citation

  • Henk F. Moed & Gali Halevi, 2014. "A bibliometric approach to tracking international scientific migration," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(3), pages 1987-2001, December.
  • Handle: RePEc:spr:scient:v:101:y:2014:i:3:d:10.1007_s11192-014-1307-6
    DOI: 10.1007/s11192-014-1307-6
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    References listed on IDEAS

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    1. Di Maria, Corrado & Lazarova, Emiliya A., 2012. "Migration, Human Capital Formation, and Growth: An Empirical Investigation," World Development, Elsevier, vol. 40(5), pages 938-955.
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    4. Henk F. Moed & M’hamed Aisati & Andrew Plume, 2013. "Studying scientific migration in Scopus," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(3), pages 929-942, March.
    5. Grit Laudel, 2003. "Studying the brain drain: Can bibliometric methods help?," Scientometrics, Springer;Akadémiai Kiadó, vol. 57(2), pages 215-237, June.
    6. Giovanni Abramo & Ciriaco Andrea D’Angelo & Marco Solazzi, 2012. "A bibliometric tool to assess the regional dimension of university–industry research collaborations," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(3), pages 955-975, June.
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