The many faces of mobility: Using bibliometric data to measure the movement of scientists

Abstract This paper presents a methodological framework for developing scientific mobility indicators based on bibliometric data. We identify nearly 16 million individual authors from publications covered in the Web of Science for the 2008–2015 period. Based on the information provided across individuals’ publication records, we propose a general classification for analyzing scientific mobility using institutional affiliation changes. We distinguish between migrants--authors who have ruptures with their country of origin--and travelers--authors who gain additional affiliations while maintaining affiliation with their country of origin. We find that 3.7% of researchers who have published at least one paper over the period are mobile. Travelers represent 72.7% of all mobile scholars, but migrants have higher scientific impact. We apply this classification at the country level, expanding the classification to incorporate the directionality of scientists’ mobility (i.e., incoming and outgoing). We provide a brief analysis to highlight the utility of the proposed taxonomy to study scholarly mobility and discuss the implications for science policy.

[1]  Carolina Cañibano,et al.  Gender and patterns of temporary mobility among researchers , 2016 .

[2]  Thed N. van Leeuwen,et al.  A bibliometric classificatory approach for the study and assessment of research performance at the individual level: The effects of age on productivity and impact , 2010, J. Assoc. Inf. Sci. Technol..

[3]  Robert J. W. Tijssen,et al.  Chinese researchers returning home: Impacts of international mobility on research collaboration and scientific productivity , 2008, Scientometrics.

[4]  Carolina Cañibano Scientific Mobility and Economic Assumptions: From the Allocation of Scientists to the Socioeconomics of Network Transformation , 2017 .

[5]  Cassidy R. Sugimoto,et al.  Towards a global scientific brain: Indicators of researcher mobility using co-affiliation data , 2016, ArXiv.

[6]  Giovanni Abramo,et al.  The relationship between scientists’ research performance and the degree of internationalization of their research , 2011, Scientometrics.

[7]  Grit Laudel,et al.  Studying the brain drain: Can bibliometric methods help? , 2003, Scientometrics.

[8]  Yurij L. Katchanov,et al.  Synchronous international scientific mobility in the space of affiliations: evidence from Russia , 2016, SpringerPlus.

[9]  C. Wagner,et al.  Open countries have strong science , 2017, Nature.

[10]  Pierre Azoulay,et al.  The Mobility of Elite Life Scientists: Professional and Personal Determinants , 2016, Research policy.

[11]  Philippe Moguérou,et al.  Indicators on researchers' career and mobility in Europe : a “modelling” approach , 2006 .

[12]  Asao Ando,et al.  National ties of international scientific collaboration and researcher mobility found in Nature and Science , 2017, Scientometrics.

[13]  Henk F. Moed,et al.  A bibliometric approach to tracking international scientific migration , 2014, Scientometrics.

[14]  Louise Ackers,et al.  Internationalisation, Mobility and Metrics: A New Form of Indirect Discrimination? , 2008 .

[15]  Fredrik Niclas Piro,et al.  Are mobile researchers more productive and cited than non-mobile researchers? A large-scale study of Norwegian scientists , 2013 .

[16]  Stefano Horst Baruffaldi,et al.  Return mobility and scientific productivity of researchers working abroad: The role of home country linkages , 2012 .

[17]  Javier Otamendi,et al.  International temporary mobility of researchers: a cross-discipline study , 2011, Scientometrics.

[18]  Neil R. Smalheiser,et al.  Author name disambiguation , 2009, Annu. Rev. Inf. Sci. Technol..

[19]  Mobility and Its Impact: Data and Evidence (The Global Competition for Talent: Mobility of the Highly Skilled) , 2019 .

[20]  Nees Jan van Eck,et al.  Large scale author name disambiguation using rule-based scoring and clustering , 2014 .

[21]  Vincent Larivière,et al.  Scientists have most impact when they're free to move , 2017, Nature.

[22]  Nicolás Robinson-García,et al.  Tracing scientific mobility of Early Career Researchers in Spain and The Netherlands through their publications , 2016, ArXiv.

[23]  Peter Scott,et al.  Dynamics of Academic Mobility: Hegemonic Internationalisation or Fluid Globalisation , 2015, European Review.

[24]  Carolina Cañibano,et al.  Towards a socio-economics of the brain drain and distributed human capital , 2015 .

[25]  Dimitri Gagliardi,et al.  International mobility: Findings from a survey of researchers in the EU , 2015 .

[26]  Pierre Azoulay,et al.  The Mobility of Elite Life Scientists: Professional and Personal Determinants , 2016 .

[27]  Jean-Baptiste Meyer,et al.  Network Approach versus Brain Drain: Lessons from the Diaspora , 2001 .

[28]  Henk F. Moed,et al.  Studying scientific migration in Scopus , 2012, Scientometrics.

[29]  Cassidy R. Sugimoto,et al.  Networks of international collaboration and mobility: a comparative study , 2017, ISSI.

[30]  Sally Davenport Panic and panacea: brain drain and science and technology human capital policy , 2004 .

[31]  Takao Furukawa,et al.  Quantitative analysis of collaborative and mobility networks , 2011, Scientometrics.

[32]  Paula E. Stephan,et al.  Global competition for scientific talent: evidence from location decisions of PhDs and postdocs in 16 countries , 2016 .

[33]  V. Larivière,et al.  How Many Is Too Many? On the Relationship between Research Productivity and Impact , 2016, PloS one.

[34]  Vincent Larivière,et al.  Measuring Research: What Everyone Needs to Know® , 2017 .

[35]  Henk F. Moed,et al.  Does Research Mobility Have an Effect on Productivity and Impact , 2016 .

[36]  John P A Ioannidis,et al.  Global estimates of high‐level brain drain and deficit , 2004, FASEB journal : official publication of the Federation of American Societies for Experimental Biology.

[37]  Paula E. Stephan,et al.  Are the Foreign Born a Source of Strength for U.S. Science? , 1999, Science.

[38]  Adele Paul-Hus,et al.  Predicting the age of researchers using bibliometric data , 2017 .

[39]  Andrew J. Oswald,et al.  The Elite Brain Drain , 2009, SSRN Electronic Journal.

[40]  Henk F. Moed,et al.  Researchers’ Mobility, Productivity and Impact: Case of Top Producing Authors in Seven Disciplines , 2016 .