Ziv Epstein

25 papers receiving 1.7k citations

Ziv Epstein's Hit Papers

Art and the science of generative AI 2023 · 363 citations
3630+1+3Years since publication200400600

Peers

Ziv Epstein
Comparison fields: 5 of 127
  • Health Informatics 77
  • Communication 354
  • Safety Research 194
  • Sociology and Political Science 966
  • Artificial Intelligence 480
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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 27 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 →
2021603
2
Art and the science of generative AI
Hit paper breakdown →
2023363
3 2021138
4 201497
5
Understanding and combatting misinformation across 16 countries on six continents
Hit paper breakdown →
202389
6 202087
7 202350
8 202050
9 202141
10 202136
11 202234
12
Understanding and Reducing the Spread of Misinformation Online
202027
13 201624
14 202421
15 202418
16 201614
17 202513
18 201812
19 20167
20 20255

About Ziv Epstein

Ziv Epstein is a scholar working on Sociology and Political Science, Artificial Intelligence, Safety Research, Communication and Cognitive Neuroscience, having authored 27 papers that have together received 1.7k indexed citations. Recurring topics across this work include Misinformation and Its Impacts (11 papers), Psychology of Moral and Emotional Judgment (5 papers), Social Media and Politics (5 papers), Ethics and Social Impacts of AI (5 papers), Evolutionary Game Theory and Cooperation (5 papers), Explainable Artificial Intelligence (XAI) (4 papers), Experimental Behavioral Economics Studies (3 papers) and Hate Speech and Cyberbullying Detection (3 papers). The work is most often cited by research in Health Informatics (77 citations), Communication (354 citations), Safety Research (194 citations), Sociology and Political Science (966 citations) and Artificial Intelligence (480 citations). Ziv Epstein has collaborated with scholars based in United States, Canada and United Kingdom. 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 Amy Smith. Their work appears in journals such as Journal of Vision, iScience, Journal of the American Medical Informatics Association, PLoS ONE and European Journal of Cultural Studies.

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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