David G. Rand

296 papers receiving 24.4k citations

Hit Papers

Quantifying the impact of misinformation and vaccine-skeptical content on Facebook 2024 · 37 citations
3720082026201420202505007501000

Peers

David G. Rand
Comparison fields: 5 of 203
  • Safety Research 6.6k
  • General Decision Sciences 1.2k
  • Communication 4.0k
  • Sociology and Political Science 18.1k
  • Cognitive Neuroscience 4.3k
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Countries citing papers authored by David G. Rand

Since Specialization
Citations

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

Fields of papers citing papers by David G. Rand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David G. Rand. 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 David G. Rand. The network helps show where David G. Rand may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 202413
3 20249
4 20247
5 20243
6 20235
7
How to think about whether misinformation interventions work
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202356
8 20234
9 202325
10 20229
11 202144
12 202158
13 2021113
14
Shifting attention to accuracy can reduce misinformation online
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2021556
15 20201
16 20193
17 201831
18
Statistical physics of human cooperation
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20171132
19
Setting a Price for Charitable Giving Increases Donations through Self-Concept Maintenance
20161
20 2014124

About David G. Rand

David G. Rand is a scholar working on Safety Research, General Decision Sciences, Communication, Sociology and Political Science and Cognitive Neuroscience, having authored 302 papers that have together received 25.4k indexed citations. Recurring topics across this work include Experimental Behavioral Economics Studies (130 papers), Evolutionary Game Theory and Cooperation (123 papers), Misinformation and Its Impacts (88 papers), Psychology of Moral and Emotional Judgment (61 papers), Social Media and Politics (44 papers), Evolutionary Psychology and Human Behavior (40 papers), Social and Intergroup Psychology (32 papers) and Opinion Dynamics and Social Influence (30 papers). The work is most often cited by research in Safety Research (6.6k citations), General Decision Sciences (1.2k citations), Communication (4.0k citations), Sociology and Political Science (18.1k citations) and Cognitive Neuroscience (4.3k citations). David G. Rand has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Gordon Pennycook, Martin A. Nowak, Jillian Jordan, Joshua D. Greene, Nicholas A. Christakis, Alexander Peysakhovich, Tyrone D. Cannon, Anna Dreber, Adam Bear and Jonathon McPhetres. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature, Nature Communications, Judgment and Decision Making and PLoS ONE.

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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