Jeremy Ferwerda

63 total papers · 512 total citations
18 papers, 259 citations indexed

About

Jeremy Ferwerda is a scholar working on Sociology and Political Science, Political Science and International Relations and Strategy and Management. According to data from OpenAlex, Jeremy Ferwerda has authored 18 papers receiving a total of 259 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Sociology and Political Science, 12 papers in Political Science and International Relations and 2 papers in Strategy and Management. Recurrent topics in Jeremy Ferwerda's work include Electoral Systems and Political Participation (7 papers), Migration, Refugees, and Integration (7 papers) and Migration and Labor Dynamics (5 papers). Jeremy Ferwerda is often cited by papers focused on Electoral Systems and Political Participation (7 papers), Migration, Refugees, and Integration (7 papers) and Migration and Labor Dynamics (5 papers). Jeremy Ferwerda collaborates with scholars based in United States, United Kingdom and Switzerland. Jeremy Ferwerda's co-authors include Henning Finseraas, Nicholas L. Miller, Charlotte Cavaillé, Johannes Bergh, Nazli Choucri, Stuart Madnick, Justin Gest, Andreas Kotsadam, Bernt Bratsberg and Jens Hainmueller and has published in prestigious journals such as Science Advances, American Political Science Review and American Journal of Political Science.

In The Last Decade

Jeremy Ferwerda

18 papers receiving 238 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jeremy Ferwerda 169 129 44 28 26 18 259
Yvonne Giesing 194 1.1× 101 0.8× 66 1.5× 35 1.3× 18 0.7× 19 258
Justin Gengler 138 0.8× 49 0.4× 21 0.5× 16 0.6× 8 0.3× 30 198
Mattias Agerberg 132 0.8× 105 0.8× 28 0.6× 6 0.2× 9 0.3× 14 217
Lenka Dražanová 152 0.9× 65 0.5× 22 0.5× 16 0.6× 27 1.0× 18 196
Josephine T. Andrews 126 0.7× 241 1.9× 50 1.1× 10 0.4× 19 0.7× 14 320
Pablo Christmann 121 0.7× 105 0.8× 22 0.5× 10 0.4× 10 0.4× 17 206
T. Y. Wang 227 1.3× 140 1.1× 33 0.8× 3 0.1× 16 0.6× 11 301
Jeffrey Conroy-Krutz 220 1.3× 169 1.3× 24 0.5× 4 0.1× 62 2.4× 19 313
Rollin F. Tusalem 160 0.9× 95 0.7× 44 1.0× 3 0.1× 27 1.0× 21 248
Lars-H. R. Siemers 160 0.9× 55 0.4× 80 1.8× 6 0.2× 12 0.5× 16 248

Countries citing papers authored by Jeremy Ferwerda

Since Specialization
Citations

This map shows the geographic impact of Jeremy Ferwerda's research. 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 Jeremy Ferwerda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeremy Ferwerda more than expected).

Fields of papers citing papers by Jeremy Ferwerda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeremy Ferwerda. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jeremy Ferwerda. The network helps show where Jeremy Ferwerda may publish in the future.

Co-authorship network of co-authors of Jeremy Ferwerda

This figure shows the co-authorship network connecting the top 25 collaborators of Jeremy Ferwerda. A scholar is included among the top collaborators of Jeremy Ferwerda based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jeremy Ferwerda. Jeremy Ferwerda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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