Jordan Gans‐Morse

1.8k total citations · 1 hit paper
28 papers, 881 citations indexed

About

Jordan Gans‐Morse is a scholar working on Sociology and Political Science, Political Science and International Relations and Safety Research. According to data from OpenAlex, Jordan Gans‐Morse has authored 28 papers receiving a total of 881 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Sociology and Political Science, 13 papers in Political Science and International Relations and 7 papers in Safety Research. Recurrent topics in Jordan Gans‐Morse's work include Corruption and Economic Development (13 papers), Experimental Behavioral Economics Studies (7 papers) and Crime, Illicit Activities, and Governance (6 papers). Jordan Gans‐Morse is often cited by papers focused on Corruption and Economic Development (13 papers), Experimental Behavioral Economics Studies (7 papers) and Crime, Illicit Activities, and Governance (6 papers). Jordan Gans‐Morse collaborates with scholars based in United States, Russia and Czechia. Jordan Gans‐Morse's co-authors include Taylor C. Boas, Simeon Nichter, Sebastián Mazzuca, Dong Zhang, Andre Nickow, Alexey Makarin, Andrei Yakovlev, Dmitriy Vorobyev and Aaron Erlich and has published in prestigious journals such as American Political Science Review, World Development and American Journal of Political Science.

In The Last Decade

Jordan Gans‐Morse

25 papers receiving 769 citations

Hit Papers

Varieties of Clientelism: Machine Politics during Elections 2013 2026 2017 2021 2013 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jordan Gans‐Morse United States 12 516 435 140 80 60 28 881
Anna Leander Denmark 17 754 1.5× 749 1.7× 182 1.3× 74 0.9× 29 0.5× 78 1.3k
Marion Fourcade‐Gourinchas United States 6 484 0.9× 314 0.7× 98 0.7× 113 1.4× 86 1.4× 7 875
Ana García de Fanelli Argentina 9 432 0.8× 546 1.3× 105 0.8× 48 0.6× 113 1.9× 66 1.2k
Daniel Hirschman United States 12 305 0.6× 162 0.4× 142 1.0× 131 1.6× 48 0.8× 21 753
Christine Min Wotipka United States 12 434 0.8× 452 1.0× 85 0.6× 124 1.6× 46 0.8× 28 929
Jon S.T. Quah Singapore 20 877 1.7× 321 0.7× 201 1.4× 138 1.7× 83 1.4× 74 1.2k
Colin Knox United Kingdom 19 721 1.4× 427 1.0× 74 0.5× 75 0.9× 209 3.5× 132 1.1k
John Gray United States 5 335 0.6× 315 0.7× 96 0.7× 61 0.8× 41 0.7× 12 768
John Scott United Kingdom 16 677 1.3× 197 0.5× 83 0.6× 89 1.1× 58 1.0× 40 1.1k
Stephen Hill United States 13 406 0.8× 417 1.0× 123 0.9× 57 0.7× 135 2.3× 39 1.0k

Countries citing papers authored by Jordan Gans‐Morse

Since Specialization
Citations

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

Fields of papers citing papers by Jordan Gans‐Morse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jordan Gans‐Morse. 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 Jordan Gans‐Morse. The network helps show where Jordan Gans‐Morse may publish in the future.

Co-authorship network of co-authors of Jordan Gans‐Morse

This figure shows the co-authorship network connecting the top 25 collaborators of Jordan Gans‐Morse. A scholar is included among the top collaborators of Jordan Gans‐Morse 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 Jordan Gans‐Morse. Jordan Gans‐Morse 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.
Erlich, Aaron, et al.. (2025). What corruption is most harmful? Unbundling citizen perceptions. World Development. 194. 107001–107001. 1 indexed citations
2.
Erlich, Aaron & Jordan Gans‐Morse. (2025). Can norm‐based information campaigns reduce corruption?. American Journal of Political Science. 1 indexed citations
3.
Gans‐Morse, Jordan & Simeon Nichter. (2021). Would You Sell Your Vote?. American Politics Research. 49(5). 452–463. 1 indexed citations
4.
Gans‐Morse, Jordan, et al.. (2021). Public Service Motivation as a Predictor of Corruption, Dishonesty, and Altruism. Journal of Public Administration Research and Theory. 32(2). 287–309. 27 indexed citations
5.
Gans‐Morse, Jordan, et al.. (2020). Public service motivation and sectoral employment in Russia: New perspectives on the attraction vs. socialization debate. International Public Management Journal. 25(4). 497–516. 9 indexed citations
6.
Gans‐Morse, Jordan. (2020). Taxes, Banking, and Legal Development in Russia: Lessons About Institutional Complementarities and The Rule of Law. Project Muse (Johns Hopkins University). 28(1). 47–75.
7.
Gans‐Morse, Jordan, et al.. (2020). Self-Selection into Public Service When Corruption is Widespread: The Anomalous Russian Case. Comparative Political Studies. 54(6). 1086–1128. 9 indexed citations
8.
Gans‐Morse, Jordan, et al.. (2020). Public Service Motivation And Sectoral Employment In Russia: New Perspectives On The Attraction Vs. Socialization Debate. SSRN Electronic Journal. 2 indexed citations
9.
Gans‐Morse, Jordan, et al.. (2019). Public Service Motivation as a Predictor of Altruism, Dishonesty, and Corruption (WP-19-16). 1 indexed citations
10.
Gans‐Morse, Jordan. (2019). Self-Selection into Corrupt Judiciaries. SSRN Electronic Journal. 1 indexed citations
11.
Gans‐Morse, Jordan. (2017). Demand for Law and the Security of Property Rights: The Case of Post-Soviet Russia. American Political Science Review. 111(2). 338–359. 19 indexed citations
12.
Gans‐Morse, Jordan. (2017). Property Rights in Post-Soviet Russia. Cambridge University Press eBooks. 14 indexed citations
13.
Gans‐Morse, Jordan, et al.. (2017). Reducing Bureaucratic Corruption: Interdisciplinary Perspectives on What Works. SSRN Electronic Journal. 2 indexed citations
14.
Gans‐Morse, Jordan, et al.. (2017). Motivations for Public Service in Corrupt States: Evidence from Post-Soviet Russia. SSRN Electronic Journal. 4 indexed citations
15.
Gans‐Morse, Jordan, Sebastián Mazzuca, & Simeon Nichter. (2013). Varieties of Clientelism: Machine Politics during Elections. American Journal of Political Science. 58(2). 415–432. 196 indexed citations breakdown →
16.
Gans‐Morse, Jordan. (2012). The End of a Violent Era: The Role of Force in Russian Business Conflicts *. 1 indexed citations
17.
Gans‐Morse, Jordan. (2012). Threats to Property Rights in Russia: From Private Coercion to State Aggression. Post-Soviet Affairs. 28(3). 263–295. 74 indexed citations
18.
Gans‐Morse, Jordan. (2011). Building Property Rights: Capitalists and the Demand for Law in Post-Soviet Russia. eScholarship (California Digital Library). 1 indexed citations
19.
Gans‐Morse, Jordan, Sebastián Mazzuca, & Simeon Nichter. (2010). Varieties of Clientelism: Machine Politics During Elections. SSRN Electronic Journal. 25 indexed citations
20.
Gans‐Morse, Jordan & Simeon Nichter. (2007). Economic Reforms and Democracy. Comparative Political Studies. 41(10). 1398–1426. 14 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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