Cameron Martel

2.1k citations
22 papers · 1.0k indexed · 2 hit papers · h-index 13

Cameron Martel

21 papers receiving 999 citations

Hit Papers

Reliance on emotion promotes belief in fake news2412020202620222024100200300

Peers

Cameron Martel
Comparison fields: 5 of 82
  • Communication 290
  • Modeling and Simulation 104
  • Sociology and Political Science 764
  • Health 143
  • Applied Psychology 50
Replace Yunhao Zhang with:
Yunhao Zhang United States
Xizhu Xiao China
Daniel Allington United Kingdom
Adam Enders United States
Christina E. Farhart United States
Sedona Chinn United States
Josh Compton United States
Bence Bagó France
Thomas Wood United States
Benjamin Lyons United States
Cameron Martel relative to Yunhao Zhang United States Yunhao Zhang's profile →
Citations per field
00.5×1.5×
Yunhao Zhang · 1×
Citations per year

Countries citing papers authored by Cameron Martel

Since Specialization
Citations

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

Fields of papers citing papers by Cameron Martel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20251
3 202410
4 202413
5 20243
6 20241
7 20235
8 202338
9 20233
10 202326
11 20223
12 202260
13 202158
14 202137
15 202128
16
Reliance on emotion promotes belief in fake newsbreakdown →
2020241
17
Partisan differences in physical distancing are linked to health outcomes during the COVID-19 pandemicbreakdown →
2020396
18 202017
19 201934
20 201917

About Cameron Martel

Cameron Martel is a scholar working on Communication, Modeling and Simulation, Sociology and Political Science, Artificial Intelligence and Literature and Literary Theory, having authored 22 papers that have together received 1.0k indexed citations. Recurring topics across this work include Misinformation and Its Impacts (15 papers), Social Media and Politics (12 papers), Hate Speech and Cyberbullying Detection (9 papers), COVID-19 and Mental Health (3 papers), COVID-19 epidemiological studies (3 papers), Psychology of Moral and Emotional Judgment (3 papers), Media Influence and Health (2 papers) and COVID-19 Pandemic Impacts (2 papers). The work is most often cited by research in Communication (290 citations), Modeling and Simulation (104 citations), Sociology and Political Science (764 citations), Health (143 citations) and Applied Psychology (50 citations). Cameron Martel has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include David G. Rand, Gordon Pennycook, Anton Gollwitzer, Eric D. Knowles, William J. Brady, Jay Joseph Van Bavel, Isaac G. Freedman, Philip Pärnamets, Mohsen Mosleh and Dean Eckles. Their work appears in journals such as Nature Human Behaviour, Proceedings of the National Academy of Sciences, Psychological Science, Perspectives on Psychological Science and Journal of Public Policy & Marketing.

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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