Jacob Brown
Impact in
- Communication top 10%
- Social Media and Politics
-
- Electoral Systems and Political Participation
- Populism, Right-Wing Movements
Papers in ⓘ
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- Electoral Systems and Political Participation 5
- Co-authors
- Ryan Enos (4 shared papers)Soumyajit Mazumder (1 shared paper)James Feigenbaum (1 shared paper)Michael Leo Owens (1 shared paper)Arash Naeim (1 shared paper)Lynn Vavreck (1 shared paper)Michael Zoorob (1 shared paper)David Sutton (1 shared paper)
- Journals
- British Journal of Political Science (1 paper)The Journal of Politics (1 paper)American Political Science Review (1 paper)Political Behavior (1 paper)Political Analysis (1 paper)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Jacob Brown
9 papers receiving 181 citations
Hit Papers
Peers
Comparison fields: 5 of 45
- Communication 44
- Political Science and International Relations 73
- Sociology and Political Science 126
- Urban Studies 8
- Transportation 9
Countries citing papers authored by Jacob Brown
This map shows the geographic impact of Jacob Brown'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 Jacob Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacob Brown more than expected).
Fields of papers citing papers by Jacob Brown
This network shows the impact of papers produced by Jacob Brown. 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 Jacob Brown. The network helps show where Jacob Brown may publish in the future.
Co-authors
The 12 scholars most cited alongside Jacob Brown, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | The measurement of partisan sorting for 180 million voters Hit paper breakdown → | 2021 | 121 |
| 2 | 2022 | 24 | |
| 3 | 2021 | 24 | |
| 4 | 2013 | 10 | |
| 5 | 2021 | 6 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 1 | |
| 8 | 2025 | 1 | |
| 9 | 2020 | 1 | |
| 10 | 2025 | 0 | |
| 11 | 2025 | 0 |
About Jacob Brown
Jacob Brown is a scholar working on Modeling and Simulation, Political Science and International Relations, Sociology and Political Science, Transportation and Communication, having authored 11 papers that have together received 190 indexed citations. Recurring topics across this work include Electoral Systems and Political Participation (5 papers), Urban, Neighborhood, and Segregation Studies (4 papers), Crime Patterns and Interventions (2 papers), Social and Cultural Dynamics (2 papers), Social and Intergroup Psychology (2 papers), Social Media and Politics (1 paper), Game Theory and Voting Systems (1 paper) and Names, Identity, and Discrimination Research (1 paper). The work is most often cited by research in Communication (44 citations), Political Science and International Relations (73 citations), Sociology and Political Science (126 citations), Urban Studies (8 citations) and Transportation (9 citations). Jacob Brown has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Ryan Enos, Soumyajit Mazumder, James Feigenbaum, Michael Leo Owens, Arash Naeim, Lynn Vavreck, Michael Zoorob, David Sutton, Kosuke Imai and Matthew Blackwell. Their work appears in journals such as British Journal of Political Science, The Journal of Politics, American Political Science Review, Political Behavior and Political Analysis.
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.