Gabriel Katz

793 total citations
32 papers, 421 citations indexed

About

Gabriel Katz is a scholar working on Political Science and International Relations, Economics and Econometrics and Sociology and Political Science. According to data from OpenAlex, Gabriel Katz has authored 32 papers receiving a total of 421 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Political Science and International Relations, 11 papers in Economics and Econometrics and 9 papers in Sociology and Political Science. Recurrent topics in Gabriel Katz's work include Electoral Systems and Political Participation (18 papers), Social Media and Politics (5 papers) and Media Influence and Politics (4 papers). Gabriel Katz is often cited by papers focused on Electoral Systems and Political Participation (18 papers), Social Media and Politics (5 papers) and Media Influence and Politics (4 papers). Gabriel Katz collaborates with scholars based in United Kingdom, United States and Uruguay. Gabriel Katz's co-authors include Mark Dincecco, Inés Levin, R. Michael Alvarez, Jonathan N. Katz, Matías Iaryczower, Daniel Stevens, Jack Vowles, Nicole Bolleyer, Sebastián M. Saiegh and Ernesto Calvo and has published in prestigious journals such as The Economic Journal, American Journal of Political Science and European Economic Review.

In The Last Decade

Gabriel Katz

31 papers receiving 393 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gabriel Katz United Kingdom 11 222 154 145 71 48 32 421
Juraj Medzihorsky Sweden 12 291 1.3× 80 0.5× 322 2.2× 35 0.5× 50 1.0× 22 551
Joshua Krusell Sweden 7 228 1.0× 76 0.5× 280 1.9× 41 0.6× 40 0.8× 11 481
Farhad Miri Sweden 8 299 1.3× 79 0.5× 359 2.5× 46 0.6× 38 0.8× 8 584
Leonid Peisakhin United States 8 245 1.1× 84 0.5× 457 3.2× 90 1.3× 51 1.1× 19 585
Nahomi Ichino United States 8 242 1.1× 46 0.3× 275 1.9× 69 1.0× 22 0.5× 10 412
William J. Long United States 4 324 1.5× 78 0.5× 211 1.5× 24 0.3× 39 0.8× 6 444
Sebastian Hellmeier Germany 13 314 1.4× 39 0.3× 350 2.4× 22 0.3× 55 1.1× 24 536
Alexander Baturo Ireland 13 293 1.3× 53 0.3× 243 1.7× 18 0.3× 21 0.4× 33 484
Michael Coppedge United States 10 219 1.0× 56 0.4× 248 1.7× 25 0.4× 31 0.6× 26 401
Paul Schuler United States 11 440 2.0× 55 0.4× 410 2.8× 32 0.5× 29 0.6× 31 608

Countries citing papers authored by Gabriel Katz

Since Specialization
Citations

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

Fields of papers citing papers by Gabriel Katz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriel Katz

This figure shows the co-authorship network connecting the top 25 collaborators of Gabriel Katz. A scholar is included among the top collaborators of Gabriel Katz 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 Katz. Gabriel Katz 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.
Charness, Gary, et al.. (2023). Improving children's food choices: Experimental evidence from the field. European Economic Review. 159. 104562–104562. 3 indexed citations
2.
Bolleyer, Nicole, et al.. (2022). Genetic Imprints, Party Life Cycles, and Organizational Mortality: An Application of State-Space Duration Models. The Journal of Politics. 85(1). 266–279. 1 indexed citations
3.
Charness, Gary, et al.. (2021). Improving Healthy Eating in Children: Experimental Evidence. SSRN Electronic Journal.
4.
Alvarez, R. Michael, et al.. (2020). Conventional and unconventional participation in Latin America: a hierarchical latent class approach. Political Science Research and Methods. 9(4). 878–888. 4 indexed citations
5.
James, Charlotte, et al.. (2019). Flows of Information in Election Campaigns: Who Influences Whom?. SSRN Electronic Journal. 1 indexed citations
6.
Banducci, Susan, et al.. (2018). A little justification goes a long way: audience costs and the EU referendum. Acta Politica. 55(2). 305–326. 2 indexed citations
7.
Banducci, Susan, et al.. (2018). Intermedia agenda setting in personalized campaigns: How news media influence the importance of leaders. Electoral Studies. 54. 281–288. 4 indexed citations
8.
Katz, Gabriel & Inés Levin. (2017). Varieties of political support in emerging democracies: A cross-national analysis. Social Science Research. 70. 55–70. 12 indexed citations
9.
Katz, Gabriel & Inés Levin. (2017). Varieties of Political Support in Emerging Democracies: A Cross-National Analysis. SSRN Electronic Journal. 1 indexed citations
10.
Katz, Gabriel & Inés Levin. (2016). A General Model of Abstention Under Compulsory Voting. Political Science Research and Methods. 6(3). 489–508. 24 indexed citations
11.
Iaryczower, Matías & Gabriel Katz. (2016). What does IT Take for Congress to Enact Good Policies? an Analysis of Roll Call Voting in the US Congress. Economics and Politics. 28(1). 79–104. 3 indexed citations
12.
Vowles, Jack, Gabriel Katz, & Daniel Stevens. (2015). Electoral Competitiveness and Turnout in British Elections, 1964–2010. Political Science Research and Methods. 5(4). 775–794. 14 indexed citations
13.
Iaryczower, Matías & Gabriel Katz. (2015). More than Politics: Ability and Ideology in the British Appellate Committee. The Journal of Law Economics and Organization. 32(1). 61–93. 11 indexed citations
14.
Katz, Gabriel, et al.. (2012). State Capacity and Long-Run Economic Performance. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 11 indexed citations
15.
Dincecco, Mark & Gabriel Katz. (2012). State Capacity and Long-Run Performance. SSRN Electronic Journal. 7 indexed citations
16.
Alvarez, R. Michael, et al.. (2011). The Impact of New Technologies on Voter Confidence in Latin America: Evidence from E-Voting Experiments in Argentina and Colombia. Journal of Information Technology & Politics. 8(2). 199–217. 35 indexed citations
17.
Katz, Gabriel, et al.. (2010). Assessing the Impact of Alternative Voting Technologies on Multi-Party Elections: Design Features, Heuristic Processing and Voter Choice. Political Behavior. 33(2). 247–270. 20 indexed citations
18.
Iaryczower, Matías, Gabriel Katz, & Sebastián M. Saiegh. (2009). The Not-So-Popular Branch: Bicameralism as a Counter-Majoritarian Device. CaltechAUTHORS (California Institute of Technology). 5 indexed citations
19.
Iaryczower, Matías, Gabriel Katz, & Sebastián M. Saiegh. (2009). Voting in the Bicameral Congress: Large Majorities as a Signal of Quality. SSRN Electronic Journal. 2 indexed citations
20.
Alvarez, R. Michael & Gabriel Katz. (2008). Structural cleavages, electoral competition and partisan divide: A Bayesian multinomial probit analysis of Chile's 2005 election. Electoral Studies. 28(2). 177–189. 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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