International Migration Review

4.7k papers and 122.8k indexed citations i.

About

The 4.7k papers published in International Migration Review in the last decades have received a total of 122.8k indexed citations. Papers published in International Migration Review usually cover Sociology and Political Science (3.1k papers), Demography (643 papers) and Political Science and International Relations (562 papers) specifically the topics of Migration and Labor Dynamics (2.0k papers), Migration, Ethnicity, and Economy (1.2k papers) and Migration, Refugees, and Integration (596 papers). The most active scholars publishing in International Migration Review are Arjun Appadurai, Alejandro Portes, Rubén G. Rumbaut, Min Zhou, Mónica Boyd, Richard Alba, Peggy Levitt, Hein de Haas, Stephen Castles and Gary P. Freeman.

In The Last Decade

Fields of papers published in International Migration Review

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in International Migration Review. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in International Migration Review.

Countries where authors publish in International Migration Review

Since Specialization
Citations

This map shows the geographic impact of research published in International Migration Review. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by papers published in International Migration Review with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites International Migration Review more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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