Arbeitsbereich

Migration und Mobilität

Auf einen Blick Projekte Publikationen Team

Projekt

Migration and Mobility of Scholars

Aliakbar Akbaritabar, Asli Ebru Sanlitürk, Xinyi Zhao, Tom Theile, Emilio Zagheni, Maciej Danko, László Németh; in Zusammenarbeit mit Samin Aref (University of Toronto, Kanada), 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 Billari (Bocconi University, Milan, Italien), Guy Stecklov (The University of British Columbia, Vancouver, Kanada)

Digital trace data give us unprecedented opportunities for understanding patterns of mobility among scholars, testing existing migration theories, and developing new ones. This project leverages large-scale bibliometric data to measure and model the migration of scholars on a global scale.  Ausführliche Beschreibung

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

Publikationen

Akbaritabar, A.; Dańko, M. J.; Zhao, X.; Zagheni, E.:

Sub-national disparities in the global mobility of academic talent

MPIDR Working Paper WP-2023-038. (2023)    

Akbaritabar, A.; Theile, T.; Zagheni, E.:

Global flows and rates of international migration of scholars

MPIDR Working Paper WP-2023-018. (2023)    

Şanlitürk, A. 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 of the United States of America 120:4, e2217937120–e2217937120. (2023)    

Zhao, X.; Akbaritabar, A.; Kashyap, R.; Zagheni, E.:

A gender perspective on the global migration of scholars

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.:

Homecoming after Brexit: evidence on academic migration from bibliometric data

MPIDR Working Paper WP-2022-019. (2022)    

Zhao, X.; Aref, S.; Zagheni, E.; Stecklov, G.:

Return migration of German-affiliated researchers: analyzing departure and return by gender, cohort, and discipline using Scopus bibliometric data 1996–2020

Scientometrics 127:12, 7707–7729. (2022)    

Zhao, X.; Aref, S.; Zagheni, E.; Stecklov, G.:

International migration in academia and citation performance: an analysis of German-affiliated researchers by gender and discipline using Scopus publications 1996-2020

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.:

Mapping academic migration of German-affiliated researchers across countries using 8 million Scopus publications from 1996 to 2020

Abstracts of the International Cartographic Association 3:327, 1–2. (2021)    

Miranda-González, A.; Aref, S.; Theile, T.; Zagheni, E.:

Scholarly migration within Mexico: analyzing internal migration among researchers using Scopus longitudinal bibliometric data

EPJ Data Science 9. (2020)    

Subbotin, A.; Aref, S.:

Brain drain and brain gain in Russia: analyzing international mobility of researchers by discipline using Scopus bibliometric data 1996-2020

MPIDR Working Paper WP-2020-025. (2020)    

Alburez-Gutierrez, D.; Aref, S.; Gil-Clavel, B. S.; Grow, A.; Negraia, D. V.; Zagheni, E.:

Demography in the digital era: new data sources for population research

In: Smart statistics for smart applications : book of short papers SIS2019, 23–30. Pearson. (2019)