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Modeling and analysis of migration and mobility among scholars using bibliometric data

descriptionPublicationkeyboard_double_arrow_right Conference object 06 Oct 2020 English Publisher:Zenodo

Authors: Samin Aref; Andrea Miranda-González; Alexander Subbotin; Emilio Zagheni; Jevin West;

doi: 10.5281/zenodo.4155023 , 10.5281/zenodo.4155024

Modeling and analysis of migration and mobility among scholars using bibliometric data

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Abstract

Bibliometric data give us unprecedented opportunities for understanding patterns of mobility among scholars, testing existing migration theories and developing new ones. In a series of studies, we leverage large-scale bibliometric data to measure and model the migration of scholars in different contexts and answer fundamental questions in the intersection of high-skilled migration and science of science. Our research project series explores three research questions within the scope of migration in academia and analysis of large-scale bibliometric data.

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University of California, Berkeley
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Max Planck Institute for Demographic Research
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Keywords

high-skilled migration, science of science, big data, bibliometric data, scientometrics

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average