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Combining curriculum vitae and bibliometric analysis: mobility, gender and research performance

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  • Ulf Sandström

Abstract

This paper demonstrates the benefits of combining curriculum vitae studies with advanced bibliometrics. Based on data from 326 CVs within one broad medical subject area we perform a cluster analysis of CV data. Data reduction produces four different groups of scientists: 1) mobile, 2) immobile, 3) excellent and 4) entrepreneurial. While it is clear that the most mobile and the least mobile researchers represent opposites also in citation performance we should acknowledge that for the large majority, with a low and medium mobility, there is no linear pattern of performance. The paper points at a double process where there are on the one hand selection processes at universities picking out ‘the winners’ and on the other hand self selection processes where researchers enhance their own performance by being mobile. Copyright , Beech Tree Publishing.

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  • Ulf Sandström, 2009. "Combining curriculum vitae and bibliometric analysis: mobility, gender and research performance," Research Evaluation, Oxford University Press, vol. 18(2), pages 135-142, June.
    • Handle: RePEc:oup:rseval:v:18:y:2009:i:2:p:135-142
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    File URL: http://hdl.handle.net/10.3152/095820209X441790
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    Citations

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    Cited by:

    1. 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.
    2. Carolina Cañibano & F. Javier Otamendi & Francisco Solís, 2011. "International temporary mobility of researchers: a cross-discipline study," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(2), pages 653-675, November.
    3. Megan K. Haller & Eric W. Welch, 2014. "Entrepreneurial Behavior of Academic Scientists: Network and Cognitive Determinants of Commitment to Grant Submissions and Award Outcomes," Entrepreneurship Theory and Practice, , vol. 38(4), pages 807-831, July.
    4. Naomi Fukuzawa, 2014. "An empirical analysis of the relationship between individual characteristics and research productivity," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(3), pages 785-809, June.
    5. Jung, Taehyun & Ejermo, Olof, 2014. "Demographic patterns and trends in patenting: Gender, age, and education of inventors," Technological Forecasting and Social Change, Elsevier, vol. 86(C), pages 110-124.
    6. Hans Pohl, 2020. "Collaboration with countries with rapidly growing research: supporting proactive development of international research collaboration," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 287-307, January.
    7. Wentian Shi & Debin Du & Wenlong Yang, 2019. "The Flow Network of Chinese Scientists and Its Driving Mechanisms Based on the Spatial Development Path of CAS and CAE Academicians," Sustainability, MDPI, vol. 11(21), pages 1-22, October.
    8. Heidi Prozesky & Nelius Boshoff, 2012. "Bibliometrics as a tool for measuring gender-specific research performance: an example from South African invasion ecology," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(2), pages 383-406, February.
    9. Yasuhiro Yamashita & Daisuke Yoshinaga, 2014. "Influence of researchers’ international mobilities on publication: a comparison of highly cited and uncited papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1475-1489, November.

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