Jacob Brown

438 total citations · 1 hit paper
11 papers, 190 citations indexed

About

Jacob Brown is a scholar working on Sociology and Political Science, Political Science and International Relations and Economics and Econometrics. According to data from OpenAlex, Jacob Brown has authored 11 papers receiving a total of 190 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Sociology and Political Science, 5 papers in Political Science and International Relations and 2 papers in Economics and Econometrics. Recurrent topics in Jacob Brown's work include Electoral Systems and Political Participation (5 papers), Urban, Neighborhood, and Segregation Studies (4 papers) and Crime Patterns and Interventions (2 papers). Jacob Brown is often cited by papers focused on Electoral Systems and Political Participation (5 papers), Urban, Neighborhood, and Segregation Studies (4 papers) and Crime Patterns and Interventions (2 papers). Jacob Brown collaborates with scholars based in United States, United Kingdom and Japan. Jacob Brown's co-authors include Ryan Enos, James Feigenbaum, Soumyajit Mazumder, Arash Naeim, Lynn Vavreck, Michael Leo Owens, Michael Zoorob, Teppei Yamamoto, Matthew Blackwell and Kosuke Imai and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Science Advances and American Political Science Review.

In The Last Decade

Jacob Brown

9 papers receiving 181 citations

Hit Papers

The measurement of partisan sorting for 180 million voters 2021 2026 2022 2024 2021 40 80 120

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jacob Brown United States 5 126 73 44 28 16 11 190
Jeffrey Lyons United States 11 187 1.5× 132 1.8× 63 1.4× 17 0.6× 10 0.6× 18 271
Joep Schaper Netherlands 5 206 1.6× 83 1.1× 121 2.8× 17 0.6× 5 0.3× 7 299
Omer Yair Israel 8 147 1.2× 109 1.5× 66 1.5× 17 0.6× 8 0.5× 26 222
Stefan Weick Germany 7 97 0.8× 59 0.8× 17 0.4× 28 1.0× 3 0.2× 38 203
Davide Morisi Italy 8 142 1.1× 127 1.7× 68 1.5× 21 0.8× 8 0.5× 20 222
Jen Birks United Kingdom 6 112 0.9× 37 0.5× 73 1.7× 7 0.3× 6 0.4× 13 184
Sören Carlson Germany 7 160 1.3× 105 1.4× 75 1.7× 17 0.6× 2 0.1× 18 267
Olga Onuch United Kingdom 11 302 2.4× 245 3.4× 53 1.2× 19 0.7× 13 0.8× 31 408
Pedro López-Roldán Spain 8 111 0.9× 20 0.3× 11 0.3× 28 1.0× 14 0.9× 45 193
Chares Demetriou Sweden 6 175 1.4× 76 1.0× 20 0.5× 13 0.5× 2 0.1× 13 231

Countries citing papers authored by Jacob Brown

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Jacob Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Jacob Brown. A scholar is included among the top collaborators of Jacob Brown 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 Jacob Brown. Jacob Brown is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
2.
Blackwell, Matthew, et al.. (2025). Priming Bias Versus Post-Treatment Bias in Experimental Designs. Political Analysis. 33(4). 361–377.
3.
Ansolabehere, Stephen, et al.. (2025). City-Defined Neighborhood Boundaries in the United States. Scientific Data. 12(1). 1031–1031. 1 indexed citations
4.
Brown, Jacob, et al.. (2024). Measuring and Modeling Neighborhoods. American Political Science Review. 118(4). 1966–1985. 1 indexed citations
5.
Brown, Jacob. (2024). Partisan Conversion Through Neighborhood Influence: How Voters Adopt the Partisanship of Their Neighbors. The Journal of Politics. 87(4). 1482–1498. 2 indexed citations
6.
Brown, Jacob, et al.. (2022). How local partisan context conditions prosocial behaviors: Mask wearing during COVID-19. Proceedings of the National Academy of Sciences. 119(21). e2116311119–e2116311119. 24 indexed citations
7.
Brown, Jacob & Ryan Enos. (2021). The measurement of partisan sorting for 180 million voters. Nature Human Behaviour. 5(8). 998–1008. 121 indexed citations breakdown →
8.
Brown, Jacob, et al.. (2021). Locked Out of College: When Admissions Bureaucrats Do and Do Not Discriminate. British Journal of Political Science. 52(3). 1436–1446. 6 indexed citations
9.
Brown, Jacob, Ryan Enos, James Feigenbaum, & Soumyajit Mazumder. (2021). Childhood cross-ethnic exposure predicts political behavior seven decades later: Evidence from linked administrative data. Science Advances. 7(24). 24 indexed citations
10.
Brown, Jacob & Michael Zoorob. (2020). Resisting Broken Windows. Political Behavior. 44(2). 679–703. 1 indexed citations
11.
Owens, Michael Leo & Jacob Brown. (2013). Weakening Strong Black Political Empowerment: Implications from Atlanta’s 2009 Mayoral Election. Journal of Urban Affairs. 36(4). 663–681. 10 indexed citations

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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