Ziv Epstein

3.2k citations
24 papers · 1.6k · 3 hit papers · h-index 15

Impact in

Papers in

Ziv Epstein

23 papers receiving 1.5k citations

Ziv Epstein's Hit Papers

Art and the science of generative AI 2023 · 314 citations
3140+1+3Years since publication100200300400500

Peers

Ziv Epstein
Comparison fields: 5 of 130
  • Health Informatics 79
  • Communication 344
  • Safety Research 187
  • Sociology and Political Science 928
  • Artificial Intelligence 469
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Countries citing papers authored by Ziv Epstein

Since Specialization
Citations

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

Fields of papers citing papers by Ziv Epstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Shifting attention to accuracy can reduce misinformation online
Hit paper breakdown →
2021556
2
Art and the science of generative AI
Hit paper breakdown →
2023314
3 2021122
4 201497
5 202081
6
Understanding and combatting misinformation across 16 countries on six continents
Hit paper breakdown →
202379
7 202047
8 202344
9 202140
10 202135
11 202230
12
Understanding and Reducing the Spread of Misinformation Online
202027
13 201624
14 202417
15 201614
16 201812
17 20249
18 20167
19 20144
20 20253

About Ziv Epstein

Ziv Epstein is a scholar working on Sociology and Political Science, Artificial Intelligence, Safety Research, Communication and Cognitive Neuroscience, having authored 24 papers that have together received 1.6k indexed citations. Recurring topics across this work include Misinformation and Its Impacts (11 papers), Social Media and Politics (5 papers), Ethics and Social Impacts of AI (5 papers), Psychology of Moral and Emotional Judgment (5 papers), Explainable Artificial Intelligence (XAI) (4 papers), Evolutionary Game Theory and Cooperation (4 papers), Hate Speech and Cyberbullying Detection (3 papers) and Opinion Dynamics and Social Influence (3 papers). The work is most often cited by research in Health Informatics (79 citations), Communication (344 citations), Safety Research (187 citations), Sociology and Political Science (928 citations) and Artificial Intelligence (469 citations). Ziv Epstein has collaborated with scholars based in United States, Canada and Mexico. Frequent co-authors include David G. Rand, Gordon Pennycook, Antonio A. Arechar, Dean Eckles, Mohsen Mosleh, Matthew Groh, Rosalind W. Picard, Chaz Firestone, Hope Schroeder and Olga Russakovsky. Their work appears in journals such as iScience, Value in Health, Journal of the American Medical Informatics Association, Journal of Vision and Science Advances.

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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