Pnina Werbner

251 total papers · 6.7k total citations
106 papers, 3.3k citations indexed

About

Pnina Werbner is a scholar working on Sociology and Political Science, Demography and Political Science and International Relations. According to data from OpenAlex, Pnina Werbner has authored 106 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Sociology and Political Science, 30 papers in Demography and 25 papers in Political Science and International Relations. Recurrent topics in Pnina Werbner's work include Diaspora, migration, transnational identity (29 papers), Migration, Refugees, and Integration (26 papers) and Migration, Ethnicity, and Economy (19 papers). Pnina Werbner is often cited by papers focused on Diaspora, migration, transnational identity (29 papers), Migration, Refugees, and Integration (26 papers) and Migration, Ethnicity, and Economy (19 papers). Pnina Werbner collaborates with scholars based in United Kingdom, United States and Germany. Pnina Werbner's co-authors include Tariq Modood, Alexandra Jaffe, France Winddance Twine, Roger Ballard, Mark Johnson, Jeremy MacClancy, Hastings Donnan, David Shulman, Richard Werbner and Claudia Liebelt and has published in prestigious journals such as Contemporary Sociology A Journal of Reviews, Urban Studies and Current Anthropology.

In The Last Decade

Pnina Werbner

99 papers receiving 2.6k citations

Author Peers

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

Author Last Decade Papers Cites
Pnina Werbner 2.5k 931 720 448 299 106 3.3k
Thomas Hylland Eriksen 2.5k 1.0× 674 0.7× 931 1.3× 715 1.6× 301 1.0× 138 4.5k
Nathan Glazer 3.2k 1.3× 666 0.7× 866 1.2× 219 0.5× 618 2.1× 158 5.3k
Ghassan Hage 2.2k 0.9× 449 0.5× 490 0.7× 348 0.8× 364 1.2× 51 3.1k
Jonathan Friedman 1.9k 0.8× 468 0.5× 741 1.0× 979 2.2× 275 0.9× 120 3.8k
Jan Nederveen Pieterse 1.7k 0.7× 353 0.4× 888 1.2× 281 0.6× 304 1.0× 103 3.1k
Maurice Freedman 2.5k 1.0× 542 0.6× 937 1.3× 733 1.6× 175 0.6× 97 4.1k
Anthony P. Cohen 2.0k 0.8× 329 0.4× 627 0.9× 607 1.4× 236 0.8× 48 3.8k
Daniel Patrick Moynihan 3.3k 1.3× 761 0.8× 853 1.2× 224 0.5× 597 2.0× 99 5.4k
David I. Kertzer 2.4k 1.0× 697 0.7× 780 1.1× 788 1.8× 120 0.4× 149 4.5k
S. Ν. Eisenstadt 2.3k 0.9× 352 0.4× 1.1k 1.5× 354 0.8× 199 0.7× 170 4.0k

Countries citing papers authored by Pnina Werbner

Since Specialization
Citations

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

Fields of papers citing papers by Pnina Werbner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pnina Werbner. 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 Pnina Werbner. The network helps show where Pnina Werbner may publish in the future.

Co-authorship network of co-authors of Pnina Werbner

This figure shows the co-authorship network connecting the top 25 collaborators of Pnina Werbner. A scholar is included among the top collaborators of Pnina Werbner 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 Pnina Werbner. Pnina Werbner 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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