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Studying scientific migration in Scopus

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Abstract

An exploration is presented of Scopus as a data source for the study of international scientific migration or mobility for five study countries: Germany, Italy, the Netherlands, UK and USA. It is argued that Scopus author-affiliation linking and author profiling are valuable, crucial tools in the study of this phenomenon. It was found that the UK has the largest degree of outward international migration, followed by The Netherlands, and the USA the lowest. Language similarity between countries is a more important factor in international migration than it is in international co-authorship. During 1999–2010 the Netherlands showed a positive “migration balance” with the UK and a negative one with Germany, suggesting that in the Netherlands there were more Ph.D. students from Germany than there were from the UK, or that for Dutch post docs stage periods in the UK were more attractive than those in Germany. Comparison of bibliometric indicators with OECD statistics provided evidence that differences exist in the way the various study countries measured their number of researchers. The authors conclude that a bibliometric study of scientific migration using Scopus is feasible and provides significant outcomes. They make suggestions for further research.

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Notes

  1. This type of categorization can also be defined on the basis of fixed publication years—for example, a continuant is an author publishing in year T who had at least one paper during a period of 4 years preceding T and at least one paper in the 4 years following T. One can also estimate the number of researchers active in a year though not publishing in that year. See Moed (2005), Chapter 21 for more details. These features are not applied in the current paper.

References

  • Aisati, M., Plume, A. & Moed, H.F. (2012). International scientific migration balances. In: Proceedings of the 10th STI Conference, Montreal, Canada, 4–6 September 2012.

  • Bordons, M., Morillo, F., & Gómez, I. (2004). Analysis of cross-disciplinary research through bibliometric tools. In H. F. Moed, W. Glänzel, & U. Schmoch (Eds.), Handbook of quantitative science and technology research. The use of pubication and patent statistics in studies of S&T systems (pp. 437–456). Dordrecht (the Netherlands): Kluwer Academic Publishers.

    Google Scholar 

  • Elsevier (2011). International Comparative Performance of the UK Research Base: 2011, commissioned by the Department for Business, Innovation and Skills (BIS), prepared by a team at Elsevier. Oxford: Department Research and Academic Relations and Amsterdam: SciVal Department.

  • Kaloudis, A. (2011). International mobility among EU researchers in the Higher Education sector and the Non-University Research Institutes Sector. Paper presented at the ENID/STI conference in Rome, Italy, 7–9 September 2011.

  • Mabe, M., & Amin, M. (2002). Dr Jekyll and Dr Hyde: author-reader asymmetries in scholarly publishing. Aslib Proceedings, 54, 149–157.

    Article  Google Scholar 

  • Meyer, J. B., Kaplan, D., & Charum, J. (2001). Scientific nomadism and the new geopolitics of knowledge. International Social Science Journal, 53, 309–321.

    Article  Google Scholar 

  • Moed, H. F. (2005). Citation Analysis in Research Evaluation. New York: Springer.

    Google Scholar 

  • Persson, O., Glänzel, W., & Danell, R. (2004). Inflationary bibliometric values: the role of scientific collaboration and the need for relative indicators in evaluative studies. Scientometrics, 60, 421–432.

    Article  Google Scholar 

  • Price, D. J. D. (1980). The citation cycle. In B. C. Griffith (Ed.), Key Papers in Information Science (pp. 195–210). White Plains: Knowledge Industry Publications.

    Google Scholar 

  • Scopus (2011). Author profile. http://www.info.sciverse.com/scopus/scopus-in-detail/tools/authorprofile.

  • Zellner, C. (2003). The economic effects of basic research: evidence for embodied knowledge transfer via scientists’ migration. Research Policy, 32, 1881–1895.

    Article  Google Scholar 

  • Zuckerman, H. (1987). Citation analysis and the complex problem of intellectual influence. Scientometrics, 12, 329–338.

    Article  Google Scholar 

Download references

Acknowledgments

The authors wish to thank an anonymous referee for useful comments on an earlier draft of this paper.

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Correspondence to Henk F. Moed.

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Moed, H.F., Aisati, M. & Plume, A. Studying scientific migration in Scopus. Scientometrics 94, 929–942 (2013). https://doi.org/10.1007/s11192-012-0783-9

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