Kyle Peyton

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

Kyle Peyton

20 papers receiving 421 citations

Hit Papers

A field experiment on community policing and police legit...13020192026202120234080120

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-authorship network

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
#Work
1 20251
2 20227
3 20222
4 202240
5 2021101
6 20208
7 202020
8 202041
9 202019
10
A field experiment on community policing and police legitimacybreakdown →
2019130
11 20143
12 201423
13
A conversation that never stops: an indicative study of the Parents as Career Transition Support program
20140
14 20142
15
Voter Persuasion in Compulsory Electorates: Evidence from a Field Experiment in Australia
20132
16 201230
17
"Measuring the Impact of Development on Corruption Perceptions: A Comparative Study of Developed and Developing Countries"*
20110
18
The Case for Human Development: A Cross-Country Analysis of Corruption Perceptions*
20101
19 20052
20 19883

About Kyle Peyton

Kyle Peyton is a scholar working on Safety Research, Modeling and Simulation, Demography, Political Science and International Relations and Sociology and Political Science, 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), Corruption and Economic Development (3 papers), Policing Practices and Perceptions (3 papers), Social and Intergroup Psychology (3 papers), Crime Patterns and Interventions (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 Denmark. Frequent co-authors include Gregory A. Huber, Michael Sierra‐Arévalo, David G. Rand, Alexander Coppock, Ariel R. Belasen, Nicholas Faulkner, Aaron Martin, Chagai Weiss, Basmah Safdar and Gordon Kraft‐Todd. Their work appears in journals such as Proceedings of the National Academy of Sciences, Emerging Markets Finance and Trade, JAMA Network Open, 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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