The relationship between prior international collaboration and international mobility: Global patterns across regions and income groups

Abstract In the global scientific landscape, international collaboration has become closely associated with researcher mobility. Using bibliometric data from over 42 million publications (1990–2020), this study provides a global analysis of the relationship between prior international collaboration and researcher international mobility. Researchers with prior international collaboration generally exhibit higher international mobility rates. This pattern is consistent across most countries. The difference in mobility rates between researchers with and without prior international collaboration is especially pronounced in countries such as Japan, Russia, China, and Brazil, while it is moderate in many European countries and North America. Additionally, researchers exhibit higher mobility rates toward countries with which they have previously collaborated. Regional and income-level analyses reveal pronounced asymmetries: Resource-rich countries attract substantial inflows regardless of collaboration history with these countries, whereas Low-income countries experience limited inflows, with incoming mobility occurring almost exclusively among researchers who have previously collaborated with these countries. Overall, our findings highlight the complex patterns between prior international collaboration and international mobility, with the strongest associations observed in flows between regions and from High-income to Low-income countries.

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Publication Details

Journal
Quantitative Science Studies
Published
2026-01-26
DOI
https://doi.org/10.1162/qss.a.410
Primary Topic
scientometrics and bibliometrics research
Type
article
Field-Weighted Citation Impact
0.00

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article

The relationship between prior international collaboration and international mobility: Global patterns across regions and income groups

Rodrigo Alonso Costas, Clara Calero‐Medina, Huilin Ge
Quantitative Science Studies
scientometrics and bibliometrics research
article

The relationship between prior international collaboration and international mobility: Global patterns across regions and income groups

Rodrigo Alonso Costas, Clara Calero‐Medina, Huilin Ge
article en

Abstract

Abstract In the global scientific landscape, international collaboration has become closely associated with researcher mobility. Using bibliometric data from over 42 million publications (1990–2020), this study provides a global analysis of the relationship between prior international collaboration and researcher international mobility. Researchers with prior international collaboration generally exhibit higher international mobility rates. This pattern is consistent across most countries. The difference in mobility rates between researchers with and without prior international collaboration is especially pronounced in countries such as Japan, Russia, China, and Brazil, while it is moderate in many European countries and North America. Additionally, researchers exhibit higher mobility rates toward countries with which they have previously collaborated. Regional and income-level analyses reveal pronounced asymmetries: Resource-rich countries attract substantial inflows regardless of collaboration history with these countries, whereas Low-income countries experience limited inflows, with incoming mobility occurring almost exclusively among researchers who have previously collaborated with these countries. Overall, our findings highlight the complex patterns between prior international collaboration and international mobility, with the strongest associations observed in flows between regions and from High-income to Low-income countries.

Quantitative Science Studies
Leiden University (NL), Stellenbosch University (ZA)
China Scholarship Council
Openalex Percentile: Top 80%
scientometrics and bibliometrics research
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The relationship between prior international collaboration and international mobility: Global patterns across regions and income groups — Rodrigo Alonso Costas, Clara Calero‐Medina, et al. · Quantitative Science Studies (2026) | TGRS Research Map | TGRS