Laboratory

Migration and Mobility

At a Glance Projects Publications Team

Project

Modeling and Analysis of Migration and Mobility among Scholars

Aliakbar Akbaritabar, Asli Ebru Sanlitürk, Xinyi Zhao, Tom Theile, Emilio Zagheni, Maciej Danko; in Collaboration with Samin Aref (University of Toronto, Canada), László Németh (MPIDR), Jevin West (University of Washington, Seattle, USA), Andrea Miranda-González (University of California, Berkeley, USA), Alexander Subbotin (Lomonosov Moscow State University, Russian Federation), Francesco Billari (Bocconi University, Milan, Italy), Guy Stecklov (University of British Columbia, Vancouver, Canada)

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.  Detailed Description

Gender ratios among all researchers and migrant researchers

In the subfigure for each period, only the countries with over 500 female mobile researchers are shown, as including the countries with small populations of mobile researchers may give rise to bias in the ratio measurements. The size of each country’s circle is proportional to the number of female researchers who migrated from and to this country. © 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

Emigration rate per 1,000 scholars of 100 selected countries based on GDP per capita

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. © 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

Publications

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)