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Should I stay or should I go? Using bibliometrics to identify the international mobility of highly educated Greek manpower

Author

Listed:
  • Evi Sachini

    (National Documentation Centre)

  • Nikolaos Karampekios

    (National Documentation Centre)

  • Pierpaolo Brutti

    (Sapienza University of Rome)

  • Konstantinos Sioumalas-Christodoulou

    (National Documentation Centre
    Sapienza University of Rome)

Abstract

This paper explores the mobility of the highly educated young Greek scholars. This is made possible through a bibliometric analysis of the affiliation countries of scholars who have published in peer reviewed journals indexed in Scopus. Approximately half of the researchers are identified from publications covered in Scopus for the period 2000–2019. A general taxonomy model is followed for analysing scientific mobility using affiliation changes. The greatest share of researchers (78.3%) appear to be static (74.6% in Greece and 3.7% abroad), whereas the mobile researcher category (21.7%) is divided into migrants (8.9%)—researchers who have left their country of origin—and travellers (12.8%)—researchers who gain additional affiliations while maintaining affiliation with their country of origin. According to the findings, the majority and especially the researcher elite (90.5%) did not sever ties with their country of origin, Greece, but instead built a chain of affiliations that linked nations together. Such chains are represented as groups of countries (clusters), in which the scientific connections between different countries can be visualised. It can be reasoned that the majority of researchers (70.3%) have a tendency to publish to a group of countries with ‘traditionally’ significant scientific impact.

Suggested Citation

  • Evi Sachini & Nikolaos Karampekios & Pierpaolo Brutti & Konstantinos Sioumalas-Christodoulou, 2020. "Should I stay or should I go? Using bibliometrics to identify the international mobility of highly educated Greek manpower," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 641-663, October.
  • Handle: RePEc:spr:scient:v:125:y:2020:i:1:d:10.1007_s11192-020-03618-y
    DOI: 10.1007/s11192-020-03618-y
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    References listed on IDEAS

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    1. Ludo Waltman & Nees Eck, 2013. "A smart local moving algorithm for large-scale modularity-based community detection," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 86(11), pages 1-14, November.
    2. van Eck, N.J.P. & Waltman, L., 2009. "How to Normalize Co-Occurrence Data? An Analysis of Some Well-Known Similarity Measures," ERIM Report Series Research in Management ERS-2009-001-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    3. 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.
    4. Gibson, John & McKenzie, David, 2014. "Scientific mobility and knowledge networks in high emigration countries: Evidence from the Pacific," Research Policy, Elsevier, vol. 43(9), pages 1486-1495.
    5. Grit Laudel, 2003. "Studying the brain drain: Can bibliometric methods help?," Scientometrics, Springer;Akadémiai Kiadó, vol. 57(2), pages 215-237, June.
    6. Nees Jan van Eck & Ludo Waltman & Rommert Dekker & Jan van den Berg, 2010. "A comparison of two techniques for bibliometric mapping: Multidimensional scaling and VOS," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(12), pages 2405-2416, December.
    7. Robinson-Garcia, Nicolás & Sugimoto, Cassidy R. & Murray, Dakota & Yegros-Yegros, Alfredo & Larivière, Vincent & Costas, Rodrigo, 2019. "The many faces of mobility: Using bibliometric data to measure the movement of scientists," Journal of Informetrics, Elsevier, vol. 13(1), pages 50-63.
    8. Nees Jan van Eck & Ludo Waltman, 2009. "How to normalize cooccurrence data? An analysis of some well‐known similarity measures," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(8), pages 1635-1651, August.
    9. Alexandros Karakos, 2003. "Greeklish: An experimental interface for automatic transliteration," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 54(11), pages 1069-1074, September.
    10. Waltman, Ludo & van Eck, Nees Jan & Noyons, Ed C.M., 2010. "A unified approach to mapping and clustering of bibliometric networks," Journal of Informetrics, Elsevier, vol. 4(4), pages 629-635.
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