Kyle Peyton

893 citations
22 papers · 450 · 1 hit paper · h-index 9

Impact in

Papers in

Kyle Peyton

20 papers receiving 421 citations

Kyle Peyton's Hit Papers

A field experiment on community policing and police legitimacy 2019 · 130 citations
1300+2+4Years since publication4080120

Peers

Kyle Peyton
Comparison fields: 5 of 79
  • Political Science and International Relations 215
  • Health 64
  • Sociology and Political Science 295
  • Gender Studies 45
  • Public Administration 12
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Citations per field
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Citations per year

Countries citing papers authored by Kyle Peyton

Since Specialization
Citations

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

Fields of papers citing papers by Kyle Peyton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Kyle Peyton, 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 Kyle Peyton Line = papers co-authored together Kyle Peyton links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A field experiment on community policing and police legitimacy
Hit paper breakdown →
2019130
2 2021101
3 202041
4 202240
5 201230
6 201423
7 202020
8 202019
9 202214
10 20208
11 20227
12 19883
13 20143
14 20222
15 20052
16 20142
17
Voter Persuasion in Compulsory Electorates: Evidence from a Field Experiment in Australia
20132
18
The Case for Human Development: A Cross-Country Analysis of Corruption Perceptions*
20101
19 20251
20 20181

About Kyle Peyton

Kyle Peyton is a scholar working on Sociology and Political Science, Political Science and International Relations, Safety Research, Demography and Information Systems, having authored 22 papers that have together received 450 indexed citations. Recurring topics across this work include Electoral Systems and Political Participation (6 papers), Experimental Behavioral Economics Studies (4 papers), Culture, Economy, and Development Studies (4 papers), Crime Patterns and Interventions (3 papers), Policing Practices and Perceptions (3 papers), Social and Intergroup Psychology (3 papers), Corruption and Economic Development (3 papers) and Economic Growth and Development (3 papers). The work is most often cited by research in Political Science and International Relations (215 citations), Health (64 citations), Sociology and Political Science (295 citations), Gender Studies (45 citations) and Public Administration (12 citations). Kyle Peyton has collaborated with scholars based in United States, Australia and Israel. Frequent co-authors include Gregory A. Huber, Michael Sierra‐Arévalo, David G. Rand, Alexander Coppock, Ariel R. Belasen, Aaron Martin, Nicholas Faulkner, Gordon Kraft‐Todd, Basmah Safdar and Chagai Weiss. Their work appears in journals such as Proceedings of the National Academy of Sciences, JAMA Network Open, Emerging Markets Finance and Trade, American Political Science Review and Journal of Adolescence.

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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