Gabriel Lenz

4.2k total citations · 2 hit papers
32 papers, 2.4k citations indexed

About

Gabriel Lenz is a scholar working on Political Science and International Relations, Sociology and Political Science and Communication. According to data from OpenAlex, Gabriel Lenz has authored 32 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Political Science and International Relations, 18 papers in Sociology and Political Science and 7 papers in Communication. Recurrent topics in Gabriel Lenz's work include Electoral Systems and Political Participation (22 papers), Media Influence and Politics (10 papers) and Social Media and Politics (7 papers). Gabriel Lenz is often cited by papers focused on Electoral Systems and Political Participation (22 papers), Media Influence and Politics (10 papers) and Social Media and Politics (7 papers). Gabriel Lenz collaborates with scholars based in United States and United Arab Emirates. Gabriel Lenz's co-authors include Jonathan M. Ladd, Adam J. Berinsky, Seth J. Hill, Gregory A. Huber, John G. Bullock, Alexander Sahn, Andrew Healy, Andy Baker, Chappell Lawson and Michael Myers and has published in prestigious journals such as American Political Science Review, American Journal of Political Science and The Journal of Politics.

In The Last Decade

Gabriel Lenz

31 papers receiving 2.2k citations

Hit Papers

Follow the Leader? 2012 2026 2016 2021 2012 2023 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gabriel Lenz United States 19 1.5k 1.4k 627 297 293 32 2.4k
David P. Redlawsk United States 22 2.2k 1.5× 2.1k 1.6× 1.3k 2.0× 249 0.8× 466 1.6× 62 3.6k
Carolyn L. Funk United States 17 1.1k 0.7× 1.5k 1.1× 411 0.7× 144 0.5× 353 1.2× 26 2.4k
Susan Banducci United Kingdom 24 2.0k 1.4× 1.0k 0.7× 687 1.1× 253 0.9× 669 2.3× 77 2.7k
Jeffrey A. Karp United States 31 2.9k 1.9× 1.5k 1.1× 887 1.4× 430 1.4× 777 2.7× 63 3.6k
David Doherty United States 19 903 0.6× 1.4k 1.0× 357 0.6× 162 0.5× 275 0.9× 57 2.1k
Kevin Arceneaux United States 35 2.2k 1.5× 2.4k 1.8× 1.5k 2.4× 453 1.5× 390 1.3× 97 4.2k
Lynn Vavreck United States 26 1.4k 1.0× 1.4k 1.0× 715 1.1× 196 0.7× 295 1.0× 52 2.3k
Rune Slothuus Denmark 17 1.3k 0.9× 1.3k 0.9× 849 1.4× 165 0.6× 237 0.8× 30 2.4k
Jennifer Jerit United States 22 1.6k 1.1× 2.1k 1.5× 1.4k 2.2× 217 0.7× 259 0.9× 42 3.3k
Brian Schaffner United States 25 1.6k 1.1× 1.4k 1.0× 628 1.0× 299 1.0× 594 2.0× 78 2.6k

Countries citing papers authored by Gabriel Lenz

Since Specialization
Citations

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

Fields of papers citing papers by Gabriel Lenz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriel Lenz

This figure shows the co-authorship network connecting the top 25 collaborators of Gabriel Lenz. A scholar is included among the top collaborators of Gabriel Lenz 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 Gabriel Lenz. Gabriel Lenz 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.
Lenz, Gabriel, et al.. (2023). Why voters who value democracy participate in democratic backsliding. Nature Human Behaviour. 7(8). 1282–1293. 44 indexed citations breakdown →
2.
Broockman, David, Aaron Kaufman, & Gabriel Lenz. (2023). Heuristic Projection: Why Interest Group Cues May Fail to Help Citizens Hold Politicians Accountable. British Journal of Political Science. 54(1). 69–87. 3 indexed citations
3.
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
4.
Lenz, Gabriel, et al.. (2021). The Impact of the Economy on Presidential Elections Throughout US History. Political Behavior. 43(2). 837–857. 4 indexed citations
5.
Lenz, Gabriel & Alexander Sahn. (2020). Achieving Statistical Significance with Control Variables and Without Transparency. Political Analysis. 29(3). 356–369. 77 indexed citations
6.
Berinsky, Adam J., et al.. (2019). Facial Dominance and Electoral Success in Times of War and Peace. The Journal of Politics. 81(3). 1096–1100. 8 indexed citations
7.
Ahler, Douglas J., Jack Citrin, & Gabriel Lenz. (2016). Do Open Primaries Improve Representation? An Experimental Test of California's 2012 Top‐Two Primary. Legislative Studies Quarterly. 41(2). 237–268. 37 indexed citations
8.
Ahler, Douglas J., et al.. (2016). Face Value? Experimental Evidence that Candidate Appearance Influences Electoral Choice. Political Behavior. 39(1). 77–102. 47 indexed citations
9.
Ahler, Douglas J., Jack Citrin, & Gabriel Lenz. (2015). Why Voters May Have Failed to Reward Proximate Candidates in the 2012 Top Two Primary. California Journal of Politics and Policy. 7(1). 1 indexed citations
10.
Hirano, Shigeo, et al.. (2014). Voter Learning in State Primary Elections. American Journal of Political Science. 59(1). 91–108. 32 indexed citations
11.
Berinsky, Adam J. & Gabriel Lenz. (2014). Red Scare? Revisiting Joe McCarthy’s Influence on 1950s Elections. Public Opinion Quarterly. 78(2). 369–391. 9 indexed citations
12.
Healy, Andrew & Gabriel Lenz. (2013). Substituting the End for the Whole: Why Voters Respond Primarily to the Election‐Year Economy. American Journal of Political Science. 58(1). 31–47. 21 indexed citations
13.
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
14.
Lenz, Gabriel. (2011). Understanding and Curing Myopic Voting. SSRN Electronic Journal. 3 indexed citations
15.
Berinsky, Adam J., et al.. (2011). Partisanship and Information Processing: Perceptions and Expectations. SSRN Electronic Journal. 1 indexed citations
16.
Ladd, Jonathan M. & Gabriel Lenz. (2011). Does Anxiety Improve Voters' Decision Making?. Political Psychology. 32(2). 347–361. 41 indexed citations
17.
Lawson, Chappell, Gabriel Lenz, Andy Baker, & Michael Myers. (2010). Looking Like a Winner: Candidate Appearance and Electoral Success in New Democracies. World Politics. 62(4). 561–593. 141 indexed citations
18.
Lenz, Gabriel & Kevin Lim. (2009). Getting Rich(er) in Office? Corruption and Wealth Accumulation in Congress. SSRN Electronic Journal. 10 indexed citations
19.
Lenz, Gabriel. (2009). Learning and Opinion Change, Not Priming: Reconsidering the Priming Hypothesis. American Journal of Political Science. 53(4). 821–837. 271 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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