Seth J. Hill

2.6k total citations
47 papers, 1.3k citations indexed

About

Seth J. Hill is a scholar working on Political Science and International Relations, Sociology and Political Science and Communication. According to data from OpenAlex, Seth J. Hill has authored 47 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Political Science and International Relations, 23 papers in Sociology and Political Science and 17 papers in Communication. Recurrent topics in Seth J. Hill's work include Electoral Systems and Political Participation (36 papers), Social Media and Politics (16 papers) and Media Influence and Politics (16 papers). Seth J. Hill is often cited by papers focused on Electoral Systems and Political Participation (36 papers), Social Media and Politics (16 papers) and Media Influence and Politics (16 papers). Seth J. Hill collaborates with scholars based in United States, Germany and Russia. Seth J. Hill's co-authors include Gregory A. Huber, Lynn Vavreck, Eric C. C. Chang, Miriam A. Golden, Gabriel Lenz, Chris Tausanovitch, John Zaller, James Lo, Alan S. Gerber and Alexander Coppock and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Science Advances.

In The Last Decade

Seth J. Hill

44 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seth J. Hill United States 17 773 756 311 261 144 47 1.3k
Anthony Fowler United States 21 987 1.3× 566 0.7× 198 0.6× 426 1.6× 228 1.6× 48 1.5k
Ruth Dassonneville Canada 29 1.6k 2.1× 881 1.2× 505 1.6× 293 1.1× 201 1.4× 138 2.2k
Damien Bol United Kingdom 14 546 0.7× 602 0.8× 165 0.5× 232 0.9× 155 1.1× 51 1.2k
Lynn Vavreck United States 26 1.4k 1.9× 1.4k 1.9× 715 2.3× 196 0.8× 176 1.2× 52 2.3k
Ernesto Calvo United States 24 1.6k 2.0× 867 1.1× 293 0.9× 381 1.5× 173 1.2× 76 2.1k
Yotam Margalit Israel 23 1.6k 2.0× 1.4k 1.9× 185 0.6× 481 1.8× 256 1.8× 61 2.7k
Yanna Krupnikov United States 24 1.1k 1.4× 1.3k 1.7× 738 2.4× 121 0.5× 115 0.8× 55 2.2k
Daron R. Shaw United States 20 1.2k 1.5× 961 1.3× 812 2.6× 206 0.8× 253 1.8× 56 1.7k
Eitan Hersh United States 13 690 0.9× 560 0.7× 289 0.9× 141 0.5× 81 0.6× 35 1.1k
Ryan Enos United States 17 676 0.9× 980 1.3× 206 0.7× 147 0.6× 51 0.4× 31 1.3k

Countries citing papers authored by Seth J. Hill

Since Specialization
Citations

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

Fields of papers citing papers by Seth J. Hill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seth J. Hill. 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 Seth J. Hill. The network helps show where Seth J. Hill may publish in the future.

Co-authorship network of co-authors of Seth J. Hill

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

All Works

20 of 20 papers shown
1.
Hill, Seth J., et al.. (2025). Can Official Messaging on Trust in Elections Break Through Partisan Polarization?. British Journal of Political Science. 55. 1 indexed citations
2.
Hill, Seth J., et al.. (2024). Voters distrust delayed election results, but a prebunking message inoculates against distrust. PNAS Nexus. 3(10). pgae414–pgae414.
3.
Hill, Seth J. & Margaret E. Roberts. (2023). Acquiescence Bias Inflates Estimates of Conspiratorial Beliefs and Political Misperceptions. Political Analysis. 31(4). 575–590. 18 indexed citations
4.
Biggers, Daniel R., et al.. (2022). Can Addressing Integrity Concerns about Mail Balloting Increase Turnout? Results from a Large-Scale Field Experiment in the 2020 Presidential Election. Journal of Experimental Political Science. 10(3). 413–425. 4 indexed citations
5.
Carlson, Taylor N. & Seth J. Hill. (2021). Experimental Measurement of Misperception in Political Beliefs. Journal of Experimental Political Science. 9(2). 241–254. 8 indexed citations
6.
Fowler, James H., et al.. (2021). Stay-at-home orders associate with subsequent decreases in COVID-19 cases and fatalities in the United States. PLoS ONE. 16(6). e0248849–e0248849. 84 indexed citations
7.
Hill, Seth J., Daniel J. Hopkins, & Gregory A. Huber. (2021). Not by turnout alone: Measuring the sources of electoral change, 2012 to 2016. Science Advances. 7(17). 10 indexed citations
8.
Hill, Seth J.. (2021). A Theory of Intensity, Electoral Competition, and Costly Political Action. The Journal of Politics. 84(1). 291–303. 2 indexed citations
9.
Hill, Seth J.. (2020). Sidestepping primary reform: political action in response to institutional change. Political Science Research and Methods. 10(2). 391–407. 3 indexed citations
10.
Fowler, James H., et al.. (2020). The Effect of Stay-at-Home Orders on COVID-19 Infections in the United States. SSRN Electronic Journal. 6 indexed citations
11.
Kousser, Thad, et al.. (2020). Early in the Pandemic, There Was No Partisan Divide over Preferences for Voting by Mail in the 2020 Election. California Journal of Politics and Policy. 12(1). 1 indexed citations
12.
Dowling, Conor M., David Doherty, Seth J. Hill, Alan S. Gerber, & Gregory A. Huber. (2019). The voting experience and beliefs about ballot secrecy. PLoS ONE. 14(1). e0209765–e0209765. 4 indexed citations
13.
Hill, Seth J.. (2018). Following Through on an Intention to Vote: Present Bias and Turnout. Political Science Research and Methods. 8(4). 803–810. 9 indexed citations
14.
Hughes, Dominic, et al.. (2017). The Impact of GOTV Depends Upon Campaign Context: A Field Experiment in the 2014 California Primary. California Journal of Politics and Policy. 9(2).
15.
Hill, Seth J.. (2015). Institution of Nomination and the Policy Ideology of Primary Electorates. Quarterly Journal of Political Science. 10(4). 461–487. 27 indexed citations
16.
Bullock, John G., Alan S. Gerber, Seth J. Hill, & Gregory A. Huber. (2013). Partisan Bias in Factual Beliefs about Politics. Quarterly Journal of Political Science. 10(4). 519–578. 18 indexed citations
17.
Gerber, Alan S., Gregory A. Huber, & Seth J. Hill. (2013). Identifying the Effect of All-Mail Elections on Turnout: Staggered Reform in the Evergreen State. Political Science Research and Methods. 1(1). 91–116. 68 indexed citations
18.
Bafumi, Joseph, Michael C. Herron, Seth J. Hill, & Jeffrey B. Lewis. (2012). Alvin Greene? Who? How Did He Win the United States Senate Nomination in South Carolina?. Election Law Journal Rules Politics and Policy. 11(4). 358–379. 3 indexed citations
19.
Huber, Gregory A., Seth J. Hill, & Gabriel Lenz. (2012). Sources of Bias in Retrospective Decision Making: Experimental Evidence on Voters’ Limitations in Controlling Incumbents. American Political Science Review. 106(4). 720–741. 187 indexed citations
20.
Hill, Seth J., Michael C. Herron, & Jeffrey B. Lewis. (2010). Economic Crisis, Iraq, and Race: A Study of the 2008 Presidential Election. Election Law Journal Rules Politics and Policy. 9(1). 41–62. 16 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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