Arbeitsbereich
Migration und Mobilität
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Projekte
Publikationen
Team
Projekt
Migration and Mobility of Scholars
Aliakbar Akbaritabar, Asli Ebru Sanlitürk, Tom Theile, Thiago Zordan Malaguth, Maciej Danko, Emilio Zagheni; in Zusammenarbeit mit Xinyi Zhao (Max Planck Institute for Human Development, Berlin, Deutschland), Samin Aref (University of Toronto, Kanada), László Németh (Weierstrass Institute for Applied Analysis and Stochastics, Berlin, Deutschland), Jevin West (University of Washington, Seattle, Vereinigte Staaten), Andrea Miranda-González (University of California, Berkeley, Vereinigte Staaten), Alexander Subbotin (Lomonosov Moscow State University, Russland), Francesco C. Billari (Bocconi University, Milan, Italien), Guy Stecklov (The University of British Columbia, Vancouver, Kanada)
Ausführliche Beschreibung
The migration of highly skilled individuals, and specifically of scholars, has important consequences for innovation and economic growth in the sending and receiving countries, as well as for regional development. Understanding the processes that drive migration flows and the impacts of incentives or economic changes on migration is essential for designing effective policies that address scholarly migration and its consequences.
A key challenge that arises in conducting research on highly skilled migrants is the lack of comprehensive data. The recent availability of large-scale digital trace data from professional networking sites and from large collections of scholarly publications has enabled researchers to study the population dynamics of actively publishing researchers and scholars (Akbaritabar et al. 2024). In particular, bibliometric databases, such as Scopus, OpenAlex, and curriculum vitae (CV) information from Open Researcher and Contributor ID (ORCID) and LinkedIn, offer unique opportunities to trace the career trajectories of scholars and their networks of co-authors over time and space. In this project, these data are used to contribute to the development of migration theories, including on the relationships between internal and international migration. These data also enable us to advance a gender perspective on the global migration of scholars (e.g., Zhao et al. 2023, Akbaritabar et al. 2025).
In one study using data from Scopus covering the 1998–2017 period, we examined the interrelation between the internal and international migration of scholars (Akbaritabar et al. 2025). The literature on the globalization of migration has found empirical evidence that while the pool of sending countries has increased worldwide, the group of receiving countries has shrunk over time, with globalization being an asymmetric process. We found that, at the country level, some countries acted as global hubs that attracted scholars from throughout the world. However, at the subnational level, some of the regions within these countries had negative net migration rates, with implications for scientific output and regional development, as well as for the perpetuation of migration corridors. Our results showed that, on average, subnational inequalities in attracting and sending scholars increased for international migration, but decreased for internal migration, over the study period.
In another study drawing on Scopus data, we conducted further analyses on return migration and used a machine learning approach to assign nationality to scholars based on their names. We found that a large proportion of the observed emigration reflects the return migration of graduates to their countries of origin (Ghorbanpour et al. 2025).
While many countries have migration policies designed to attract internationally mobile researchers, major political shifts could influence their migration decisions. In another study, we examined the effects of Brexit on the migration decisions of a selected sample of active and internationally mobile researchers using Scopus data between 2013 and 2019. While we found no evidence of a brain drain immediately after the Brexit referendum, we observed a trend of compositional change in terms of the researchers’ academic origins. The findings suggested that after Brexit, active and internationally mobile researchers who started their career in an EU country had an increased probability of leaving Britain, whereas researchers who started their career in the UK had a higher probability of returning to Britain than researchers with other academic origins, as well as a decreased probability of leaving Britain (Sanliturk et al., 2024).
Geschlechterverhältnis zwischen allen Forscher*innen und migrierten Forscher*innen

Geschlechterverhältnis unter allen Forschern, die veröffentlicht haben (X-Achse) und Forschern mit Migrationshintergrund (Y-Achse). Die Größe des Kreises eines jeden Landes ist proportional zur Anzahl der Forscherinnen, die aus diesem Land zu- und eingewandert sind. Die grüne 45-Grad-Linie zeigt die Gleichheit zwischen den beiden Dimensionen, und die blaue Linie zeigt eine angepasste Regression. © MPIDR
Source: Based on the paper by Zhao, Xinyi; Akbaritabar, Aliakbar; Kashyap, Ridhi and Zagheni, Emilio, A gender perspective on the global migration of scholars, Proceedings of the National Academy of Sciences, https://doi.org/10.1073/pnas.2214664120, 2023
The relationship between emigration rates of scholars and economic development

Scholarly emigration rates (1998 to 2017) as a function of GDP per capita (2017 constant international dollars at purchasing power parity (12)). The combined data for each year and country are plotted as a box plot, while the country- and year-specific data are plotted using colored dots. Each color represents a separate country. With an increase in GDP per capita, the migration propensity of scholars first decreases. At higher income levels, it increases. © MPIDR
Source: Based on the paper by Sanliturk, E., Zagheni, E., Dańko, M. J., Theile, T., & Akbaritabar, A., Global patterns of migration of scholars with economic development. Proceedings of the National Academy of Sciences, 120(4), e2217937120. https://doi.org/10.1073/pnas.2217937120, 2023
Bildung und Wissenschaft, internationale Migration, ethnische Minderheiten, interne Migration, Wohnsituation, Urbanisierung, Migration, Statistik und Mathematik
Mexico, Russland, Vereinigtes Königreich von Großbritannien und Nordirland, Welt
Publikationen
Akbaritabar, A.; Carrasco Armijo, J. I.; Anastasiadou, A.:
In: Handbook on international migration and social networks, 93–105. Cheltenham: Edward Elgar Publishing. (2026)
Akbaritabar, A.; Castro Torres, A. F.; Zagheni, E.:
MPIDR Working Paper WP-2026-009. (2026)

Akbaritabar, A.; Theile, T.; Zagheni, E.:
MPIDR Working Paper WP-2026-029. (2026)

Kim, J. S.; Carrasco Armijo, J. I.; Vishnoi, S.; Liang, Y.; Lauber, M.; Cortes, J. D.; Akbaritabar, A.; Basellini, U.; Zagheni, E.:
MPIDR Working Paper WP-2026-019. (2026)

Rottenkolber, A.; Ali, O.; Mónus, G.; Li, J.; Kim, J.; Perrotta, D.; Akbaritabar, A.:
PNAS Nexus 5:6, 1–12. (2026)

Slocombe, H.; Rowe, F.; Akbaritabar, A.:
MPIDR Working Paper WP-2026-018. (2026)

Akbaritabar, A.; Dańko, M. J.; Zhao, X.; Zagheni, E.:
Proceedings of the National Academy of Sciences of the United States of America 122:15, e2424521122–e2424521122. (2025)

Akbaritabar, A.; Haunschild, R.; Bornmann, L.:
Journal of Informetrics 19:4, 101744–101744. (2025)

Ghorbanpour, F.; Zordan Malaguth, T.; Akbaritabar, A.:
In: Proceedings of the 19th International AAAI Conference on Web and Social Media (ICWSM-25): Copenhagen, Denmark, June 23–26, 2025, 636–652. Washington, DC: AAAI Press. (2025)

Rottenkolber, A.; Ali, O.; Mónus, G.; Li, J.; Kim, J.; Perrotta, D.; Akbaritabar, A.:
MPIDR Working Paper WP-2025-028. (2025)

Akbaritabar, A.; Haunschild, R.; Bornmann, L.:
In: Proceedings of the 28th International Conference on Science, Technology and Innovation Indicators (STI2024), Berlin, Germany, 18-20 September 2024, 1–10. Zenodo. (2024)

Akbaritabar, A.; Theile, T.; Zagheni, E.:
Scientific Data 11:816, 1–14. (2024)

Şanlitürk, A. E.; Aref, S.; Zagheni, E.; Billari, F. C.:
Demography 61:6, 1897–1921. (2024)

Walk, E.; Akbaritabar, A.:
SocArXiv papers. unpublished. (2024)

Akbaritabar, A.; Dańko, M. J.; Zhao, X.; Zagheni, E.:
MPIDR Working Paper WP-2023-038. (2023)

Akbaritabar, A.; Theile, T.; Zagheni, E.:
MPIDR Working Paper WP-2023-018. (2023)

Şanlitürk, A. E.; Zagheni, E.; Dańko, M. J.; Theile, T.; Akbaritabar, A.:
Proceedings of the National Academy of Sciences of the United States of America 120:4, e2217937120–e2217937120. (2023)

Zhao, X.; Akbaritabar, A.; Kashyap, R.; Zagheni, E.:
Proceedings of the National Academy of Sciences of the United States of America 120:10, e2214664120–e2214664120. (2023)

Şanlitürk, A. E.; Aref, S.; Zagheni, E.; Billari, F. C.:
MPIDR Working Paper WP-2022-019. (2022)

Zhao, X.; Aref, S.; Zagheni, E.; Stecklov, G.:
Scientometrics 127:12, 7707–7729. (2022)

Zhao, X.; Aref, S.; Zagheni, E.; Stecklov, G.:
In: 18th International Conference on Scientometrics and Informetrics ISSI 2021: 12-15 July 2021, KU Leuven, Belgium; proceedings, 1369–1380. Leuven: ISSI. (2021)

Zhao, X.; Aref, S.; Zagheni, E.; Stecklov, G.:
Abstracts of the International Cartographic Association 3:327, 1–2. (2021)

Miranda-González, A.; Aref, S.; Theile, T.; Zagheni, E.:
EPJ Data Science 9. (2020)

Subbotin, A.; Aref, S.:
MPIDR Working Paper WP-2020-025. (2020)

Abel, G. J.; Muttarak, R.; Bordone, V.; Zagheni, E.:
European Journal of Population 35:3, 543–562. (2019)
Alburez-Gutierrez, D.; Aref, S.; Gil-Clavel, B. S.; Grow, A.; Negraia, D. V.; Zagheni, E.:
In: Smart statistics for smart applications : book of short papers SIS2019, 23–30. Pearson. (2019)

Aref, S.; Zagheni, E.; West, J.:
In: Social Informatics 11th International Conference, SocInfo 2019, Doha, Qatar, November 18–21, 2019, Proceedings, 50–65. Cham: Springer. (2019)