Citation figures suggest that the UK brain drain is a genuine problem

Pierson, Alice Sharp; Cotgreave, Peter

doi:10.1038/35024218

Cited by 19 publications

(13 citation statements)

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“…For studies focusing specifically on the phenomenon of scientific mobility (see e.g. : [PIERSON & COTGREAVE, 2000;MAHROUM, 2000;LAUDEL, 2003;MOGEROU, 2006]). …”

Section: Tracking the Mobility Of Researchersmentioning

confidence: 99%

Chinese researchers returning home: Impacts of international mobility on research collaboration and scientific productivity

2008

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“…For studies focusing specifically on the phenomenon of scientific mobility (see e.g. : [PIERSON & COTGREAVE, 2000;MAHROUM, 2000;LAUDEL, 2003;MOGEROU, 2006]). …”

Section: Tracking the Mobility Of Researchersmentioning

confidence: 99%

Chinese researchers returning home: Impacts of international mobility on research collaboration and scientific productivity

2008

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“…11 11 This is somewhat against the spirit of, for example, Pierson and Cotgreave (2000), who focus, arguably a little strangely, on citations per paper rather than on total citations (their data show that stayers write more papers than movers but the authors do not discuss this fact). …”

mentioning

confidence: 99%

The Elite Brain Drain

Hunter

Oswald

Charlton³

2009

The Economic Journal

127

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We collect data on the movement and productivity of elite scientists. Their mobility is remarkable: nearly half of the world's most-cited physicists work outside their country of birth. We show they migrate systematically towards nations with large R & D spending. Our study cannot adjudicate on whether migration improves scientists' productivity, but we find that movers and stayers have identical h-index citations scores. Immigrants in the UK and US now win Nobel Prizes proportionately less often than earlier. US residents' h-indexes are relatively high. We describe a framework where a key role is played by low mobility costs in the modern world. Copyright � The Author(s). Journal compilation � Royal Economic Society 2009.

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“…Analysis of bibliometric data allows conducting a comparative study of the publication activity of "mobile" and "non-mobile" authors [31], as well as studying the impact of migration on the development of various disciplines [32]. The affiliation method also allows studying the mobility of certain groups of (elite) scientists who are few in number, but who are important for the development of science [33].…”

Section: Theoretical Framementioning

confidence: 99%

Digitalization and scientometrics in assessing the migration of scientists

Sudakova¹,

Tarasyev²

2019

Proceedings of the International Scientific and Practical Conference on Digital Economy (ISCDE 2019)

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The article presents the development of bibliometrics as a tool for assessing scientific activity. The term "bibliometrics" has various formulations and applications: the development of a discipline, the citation of scientists, the study of affiliations of scientists. The transformation of this tool from analog to digital format is also presented. The bibliometric data was first used in the 1920s, however, the method gained popularity after the creation of the Science Citation Index. The controversy of using this method lies in the methodology of the studied object (for example, whether citation is an indicator of scientist productivity, whether it is possible to consider mobility as relocation, affiliate change, or co-authorship with scientists from other universities and research organizations). The study presents an algorithm for generating, processing and analyzing bibliometric data, the need for development of which is dictated by the current situation.

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Citation figures suggest that the UK brain drain is a genuine problem

Cited by 19 publications

References 1 publication

Chinese researchers returning home: Impacts of international mobility on research collaboration and scientific productivity

Chinese researchers returning home: Impacts of international mobility on research collaboration and scientific productivity

The Elite Brain Drain

Digitalization and scientometrics in assessing the migration of scientists

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