Tamar Mitts

1.1k total papers · 1.3k total citations
17 papers, 692 citations indexed

About

Tamar Mitts is a scholar working on Sociology and Political Science, Communication and Artificial Intelligence. According to data from OpenAlex, Tamar Mitts has authored 17 papers receiving a total of 692 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Sociology and Political Science, 4 papers in Communication and 4 papers in Artificial Intelligence. Recurrent topics in Tamar Mitts's work include Terrorism, Counterterrorism, and Political Violence (9 papers), Political Conflict and Governance (6 papers) and Hate Speech and Cyberbullying Detection (4 papers). Tamar Mitts is often cited by papers focused on Terrorism, Counterterrorism, and Political Violence (9 papers), Political Conflict and Governance (6 papers) and Hate Speech and Cyberbullying Detection (4 papers). Tamar Mitts collaborates with scholars based in United States, Israel and Czechia. Tamar Mitts's co-authors include Michal Bauer, Christopher Blattman, Joseph Henrich, Edward Miguel, Julie Chytilová, Devorah S. Manekin, Guy Grossman, Yotam Margalit, Barbara F. Walter and Jacob N. Shapiro and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and The Journal of Economic Perspectives.

In The Last Decade

Tamar Mitts

16 papers receiving 644 citations

Hit Papers

Can War Foster Cooperation? 2016 2026 2019 2022 2016 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Tamar Mitts 511 167 134 88 75 17 692
Maria Abascal 568 1.1× 118 0.7× 67 0.5× 57 0.6× 31 0.4× 20 705
Gary Pollock 392 0.8× 106 0.6× 82 0.6× 42 0.5× 48 0.6× 37 593
Mia Tuan 583 1.1× 76 0.5× 135 1.0× 100 1.1× 22 0.3× 18 726
Sam Whitt 566 1.1× 126 0.8× 248 1.9× 241 2.7× 25 0.3× 37 740
Hanna Ayalon 393 0.8× 139 0.8× 119 0.9× 91 1.0× 17 0.2× 36 770
Brian P. An 171 0.3× 66 0.4× 75 0.6× 88 1.0× 100 1.3× 33 741
Katalin Szelényi 187 0.4× 178 1.1× 41 0.3× 76 0.9× 110 1.5× 27 603
Fengshu Liu 319 0.6× 97 0.6× 82 0.6× 59 0.7× 94 1.3× 22 566
Paul Cornelius Bauer 409 0.8× 253 1.5× 27 0.2× 47 0.5× 135 1.8× 27 671
G. Cristina Mora 462 0.9× 88 0.5× 66 0.5× 17 0.2× 43 0.6× 23 605

Countries citing papers authored by Tamar Mitts

Since Specialization
Citations

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

Fields of papers citing papers by Tamar Mitts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tamar Mitts

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