Exploring Women’s Migration through Bibliometrics: Trends and Research Networks

In recent decades, there has been an increase in scientific interest in women’s migration, reflecting the globalisation of migration flows and increased gender sensitivity in research. The aim is to explore the mapping of the scientific field devoted to women’s migration through analysis to identify key trends, thematic areas, and international scientific collaborations. The Scopus database covering the period from 1979 to 2025 is used as an empirical base. The sample includes 860 articles selected based on relevant keywords related to women’s migration. Drawing on a dataset of 860 peer-reviewed articles from the Scopus database spanning 1979–2025, the analysis employs advanced bibliometric tools including VOSviewer and Bibliometrix (R package). The study examines publication dynamics, prolific authors and journals, influential countries, citation patterns, and co-occurrence networks of keywords. The results reveal six dominant thematic areas: labour migration, gender discrimination, marital migration, cultural norms, socio-economic mobility, and structural barriers. The findings reveal six dominant thematic clusters: labour migration, gender discrimination, marital migration, cultural norms, socio-economic mobility, and structural barriers. The United States (298 articles), the United Kingdom (170), and Canada (79) emerged as the most productive contributors. While research is primarily concentrated in North America and Europe, academic interest is steadily increasing in Southeast Asia, East Asia, and Latin America. This article will guide future research by providing a scientific map of studies that are at the intersection of migration and gender issues.

1. Abel, G.J. (2022). Gender and Migration Data [World Bank]. Retrieved June 15, 2025 from https://documents1.worldbank.org/curated/en/099144308222413557/pdf/IDU-d9b7dc78-cc45-4168-a370-8a01e390d792.pdf

2. Amirapu, A., Asadullah, M. N., & Wahhaj, Z. (2022). Social barriers to female migration: Theory and evidence from Bangladesh. Journal of Development Economics, 158, 102891. https://doi.org/10.1016/j.jdeveco.2022.102891

3. Aria, M., & Cuccurullo, C. (2017). Bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959-975. https://doi.org/10.1016/j.joi.2017.08.007

4. Bastia, T., & Piper, N. (2019). Women migrants in the global economy: a global overview (and regional perspectives). Gender & Development, 27(1), 15-30. https://doi.org/10.1080/13552074.2019.1570734

5. Benckendorff, P. & Zehrer, A. (2013). A network analysis of tourism research. Annals of Tourism Research, 43, 121-149. https://doi.org/10.1016/j.annals.2013.04.005

6. Bernard, A., & Bell, M. (2018). Educational selectivity of internal migrants: A global assessment. Demographic research, 39, 835-854. http://dx.doi.org/10.4054/DemRes.2018.39.29

7. Czaika, M., & Reinprecht, C. (2022). Migration drivers: Why do people migrate. Introduction to migration studies: An interactive guide to the literatures on migration and diversity, 49-82. http://dx.doi.org/10.1007/9783-030-92377-8_3

8. Danzer, A. M., & Dietz, B. (2014). Labour migration from Eastern Europe and the EU’s Quest for talents. Journal of Common Market Studies, 52(2), 183–199. https://doi.org/10.1111/jcms.12087

9. Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285-296. https://doi.org/10.1016/j.jbusres.2021.04.070

10. Echchakoui, S. (2020). Why and how to merge Scopus and Web of Science during bibliometric analysis: The case of sales force literature from 1912 to 2019. Journal of Marketing Analytics, 8, 165-184. https://doi.org/10.1057/s41270-020-00081-9

11. Esipova, N., Ray, J., & Pugliese, A. (2011). Gallup world poll: The many faces of global migration. United Nations.

12. Field, E., Jayachandran, S., & Pande, R. (2010). Do traditional institutions constrain female entrepreneurship? A field experiment on business training in India. American Economic Review, 100(2), 125-129. https://doi.org/10.1257/aer.100.2.125

13. Gao, S., Meng, F., Gu, Z., Liu, Z., & Farrukh, M. (2021). Mapping and clustering analysis on environmental, social and governance field a bibliometric analysis using Scopus. Sustainability, 13(13), 7304. https://doi.org/10.3390/su13137304

14. Gong, A., Hui, E. C. M., Peng, D., & Shen, J. (2025). Those who leave and those who stay: Son-preference culture and female migration in China. Cities, 158, 105684. https://doi.org/10.1016/j.cities.2024.105684

15. Hennebry, J. (2017). At What Cost?: WMWs Remittances and Development. New York: UN Women.

16. Jiang, Q., & Zhang, C. (2021). Recent sex ratio at birth in China. BMJ Global Health, 6(5), e005438. https://doi.org/10.1136/bmjgh-2021-005438

17. Krook, M. L., & True, J. (2012). Rethinking the life cycles of international norms: The United Nations and the global promotion of gender equality. European journal of international relations, 18(1), 103-127. https://doi.org/10.1177/1354066110380963

18. Lanati, M., Sanfilippo, M., & Santi, F. (2023). Aid and internal migration in Malawi. World Development, 162, 106134. https://doi.org/10.1016/j.worlddev.2022.106134

19. Meyer, F. (2017). Navigating aspirations and expectations: adolescents’ considerations of outmigration from rural eastern Germany. Journal of Ethnic and Migration Studies, 44(6), 1032–1049. https://doi.org/10.1080/1369183X.2017.1384163

20. Nailah, N. & Rusydiana, A.S. (2020). The zakat and technology, Paper presented at the International Conference of Zakat. http://dx.doi.org/10.37706/iconz.2020.222

21. Nuruly, E., Sansyzbayeva, G. N., Aktymbaeva, A. S., Sapieva, A. J., & Asipova, J. M. (2021). Is gender inequality a factor in female’s brain drain? Possible measures of public regulation. Bulletin of the National Academy of Sciences of the Republic of Kazakhstan, 5, 90-99. https://doi.org/10.32014/2021.2518-1467.171

22. Otar, E., & Mantayeva, А. Y. (2025). Intercultural marriages and social adaptation: online representation of Kazakhstan women married to foreign citizens. Gumilyov Journal of Sociology, 151(2), 133-144. https://doi.org/10.32523/3080-1702-2025-151-2-133-144

23. Phoong, S.Y., Khek, S.L. & Phoong, S.W. (2022). The bibliometric analysis on finite mixture model. SAGE Open, 12(2), 1-13. https://doi.org/10.1177/21582440221101039

24. Ram, M., Nizamani, B., & Muhammad, A. F. (2025). Context of rural to urban migration and socio-economic empowerment of women in Pakistan and Philippines; A systematic literature review. Asas Wa Tandhim: Jurnal Hukum, Pendidikan Dan Sosial Keagamaan, 4(1), 1-14. http://dx.doi.org/10.47200/awtjhpsa.v4i1.2568

25. Ruyssen, I., & Salomone, S. (2018). Female migration: A way out of discrimination? Journal of Development Economics, 130, 224-241. http://dx.doi.org/10.1016/j.jdeveco.2017.10.010

26. Secinaro, S., Brescia, V., Calandra, D. & Biancone, P. (2020). Employing bibliometric analysis to identify suitable business models for electric cars. Journal of Cleaner Production, 264, 121503. http://dx.doi.org/10.3390/en16052344

27. Singh, S. & Bashar, A. (2021). A bibliometric review on the development in e-tourism research. International Hospitality Review, 37(1), 71-93. http://dx.doi. org/10.1108/IHR-03-2021-0015

28. Tegunimataka, A., & Palacio, A. (2025). Internal Migration in Fiji: Selectivity, Socio-economic Factors and Ethnic Patterns. Migration and Development, 21632324251346237. http://dx.doi.org/10.1177/21632324251346237

29. Tepe, G., Geyikci, U.B. & Sancak, F.M. (2021). FinTech companies: a bibliometric analysis. International Journal of Financial Studies, 10(1), 2. http://dx.doi.org/10.3390/ijfs10010002

30. UN Women. (2024). Women on the Move: FAQs on Migration and Gender. Retrieved June 15, 2025 https://asiapacific.unwomen.org/en/stories/feature-story/2024/12/women-on-the-move-faqs-on-migration-andgender

31. United Nations. (2020). World Migration Report Data Snapshot: Feminization of Migration. Retrieved June 15, 2025 https://worldmigrationreport.iom.int/sites/g/files/tmzbdl1691/files/documents/WMR-Data-Snapshot-Feminization-of-migration.pdf

32. Van Eck, N., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523-538. https://doi.org/10.1007/s11192-009-0146-3

33. Van Raan, A. F. (2014). Advances in bibliometric analysis: research performance assessment and science mapping. Bibliometrics Use and Abuse in the Review of Research Performance, 87(4), 17-28.

34. Widaryoko, N., Sukamdi, S., & Pitoyo, A. J. (2025). The economic and poverty impact of migration: is repeated migration better than one-way migration? Cogent Social Sciences, 11(1), 2495858. https://doi.org/10.1080/23311886.2025.2495858

35. Zupic, I., & Čater, T. (2015). Bibliometric methods in management and organization. Organizational Research Methods, 18(3), 429-472. https://doi.org/10.1177/1094428114562629