Jonathan Schulz

3.7k citations
20 papers · 2.1k · 3 hit papers · h-index 9

Impact in

Papers in

    • Experimental Behavioral Economics Studies 10
    • Ethics and Social Impacts of AI 1
    • Culture, Economy, and Development Studies 3

Jonathan Schulz

17 papers receiving 2k citations

Jonathan Schulz's Hit Papers

The Church, intensive kinship, and global psychological variation 2019 · 282 citations
2820+3+6Years since publication2505007501k

Peers

Jonathan Schulz
Comparison fields: 5 of 120
  • Safety Research 844
  • General Decision Sciences 107
  • Social Psychology 437
  • Automotive Engineering 181
  • Information Systems and Management 135
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Jonathan Schulz relative to Edmond Awad United Kingdom Edmond Awad's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jonathan Schulz

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Schulz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jonathan Schulz, 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 Jonathan Schulz Line = papers co-authored together Jonathan Schulz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
The Moral Machine experiment
Hit paper breakdown →
20181193
2
Intrinsic honesty and the prevalence of rule violations across societies
Hit paper breakdown →
2016340
3
The Church, intensive kinship, and global psychological variation
Hit paper breakdown →
2019282
4 2012136
5 201950
6 202248
7 201622
8 202222
9 201817
10 20258
11 20236
12 20142
13 20121
14 20221
15 20221
16 20231
17 20251
18 20250
19 20250
20 20250

About Jonathan Schulz

Jonathan Schulz is a scholar working on Safety Research, Demography, Social Psychology, General Psychology and General Decision Sciences, having authored 20 papers that have together received 2.1k indexed citations. Recurring topics across this work include Experimental Behavioral Economics Studies (10 papers), Culture, Economy, and Development Studies (3 papers), Deception detection and forensic psychology (2 papers), Corruption and Economic Development (1 paper), Digital Marketing and Social Media (1 paper), Psychology of Moral and Emotional Judgment (1 paper), Decision-Making and Behavioral Economics (1 paper) and Ethics and Social Impacts of AI (1 paper). The work is most often cited by research in Safety Research (844 citations), General Decision Sciences (107 citations), Social Psychology (437 citations), Automotive Engineering (181 citations) and Information Systems and Management (135 citations). Jonathan Schulz has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Joseph Henrich, Simon Gächter, Sohan Dsouza, Iyad Rahwan, Jean‐François Bonnefon, Edmond Awad, Richard Kim, Azim Shariff, Duman Bahrami‐Rad and Jonathan P. Beauchamp. Their work appears in journals such as Journal of Behavioral and Experimental Economics, Nature, Nature Human Behaviour, Journal of Political Economy and Journal of Economic Psychology.

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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