Jordan Gans‐Morse

1.8k citations
28 papers · 881 · 1 hit paper · h-index 12

Impact in

Papers in

Jordan Gans‐Morse

25 papers receiving 769 citations

Hit Papers

Varieties of Clientelism: Machine Politics during Elections 2013 · 196 citations
1960+4+8Years since publication50100150

Peers

Jordan Gans‐Morse
Comparison fields: 5 of 80
  • Political Science and International Relations 435
  • Public Administration 60
  • Sociology and Political Science 516
  • Development 27
  • General Energy 6
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Citations per field
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Citations per year

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-authors

The 9 scholars most cited alongside Jordan Gans‐Morse, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jordan Gans‐Morse Line = papers co-authored together Jordan Gans‐Morse links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009277
2
Varieties of Clientelism: Machine Politics during Elections
Hit paper breakdown →
2013196
3 2018108
4 201274
5 200441
6 202127
7 201025
8
Who Gets Bought? Vote Buying, Turnout Buying and Other Strategies
200920
9 201719
10 200714
11 201714
12 201511
13 20209
14 20209
15 20179
16 20197
17 20216
18 20174
19 20172
20 20202

About Jordan Gans‐Morse

Jordan Gans‐Morse is a scholar working on Sociology and Political Science, Political Science and International Relations, Safety Research, Economics and Econometrics and Public Administration, having authored 28 papers that have together received 881 indexed citations. Recurring topics across this work include Corruption and Economic Development (13 papers), Experimental Behavioral Economics Studies (7 papers), Russia and Soviet political economy (6 papers), Crime, Illicit Activities, and Governance (6 papers), Politics and Society in Latin America (5 papers), Law, Economics, and Judicial Systems (5 papers), Public Policy and Administration Research (4 papers) and Political Conflict and Governance (4 papers). The work is most often cited by research in Political Science and International Relations (435 citations), Public Administration (60 citations), Sociology and Political Science (516 citations), Development (27 citations) and General Energy (6 citations). Jordan Gans‐Morse has collaborated with scholars based in United States, Russia and Czechia. Frequent co-authors include Taylor C. Boas, Simeon Nichter, Sebastián Mazzuca, Dong Zhang, Alexey Makarin, Andre Nickow, Andrei Yakovlev, Dmitriy Vorobyev and Aaron Erlich. Their work appears in journals such as American Journal of Political Science, Post-Soviet Affairs, World Development, Comparative Political Studies and Problems of Post-Communism.

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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