Gordon Pennycook

32.6k citations
131 papers · 14.6k indexed · 19 hit papers · h-index 59

Impact in

Papers in

Gordon Pennycook

127 papers receiving 13.9k citations

Hit Papers

Durably reducing conspiracy beliefs through dialogues with AI 2024 · 90 citations
9020122026201620212505007501000

Peers

Gordon Pennycook
Comparison fields: 5 of 172
  • General Decision Sciences 1.3k
  • Communication 3.8k
  • Sociology and Political Science 10.5k
  • Health 1.5k
  • Cognitive Neuroscience 2.9k
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Adam J. Berinsky United States
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Ullrich K. H. Ecker Australia
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Delroy L. Paulhus Canada
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Citations per field
00.5×5.9×
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Citations per year

Countries citing papers authored by Gordon Pennycook

Since Specialization
Citations

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

Fields of papers citing papers by Gordon Pennycook

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20251
3 20245
4 20244
5 20240
6 202410
7 20244
8
How to think about whether misinformation interventions work
Hit paper breakdown →
202356
9 202314
10 20239
11 20239
12
Shifting attention to accuracy can reduce misinformation online
Hit paper breakdown →
2021556
13
Understanding and Reducing the Spread of Misinformation Online
202027
14 202073
15 20197
16 2019107
17 201989
18
The science of fake news
Hit paper breakdown →
20182305
19 201664
20 201578

About Gordon Pennycook

Gordon Pennycook is a scholar working on General Decision Sciences, Communication, Cognitive Neuroscience, Sociology and Political Science and Family Practice, having authored 131 papers that have together received 14.6k indexed citations. Recurring topics across this work include Misinformation and Its Impacts (78 papers), Psychology of Moral and Emotional Judgment (41 papers), Social Media and Politics (28 papers), Decision-Making and Behavioral Economics (21 papers), Media Influence and Health (17 papers), Hate Speech and Cyberbullying Detection (16 papers), Social and Intergroup Psychology (15 papers) and Opinion Dynamics and Social Influence (12 papers). The work is most often cited by research in General Decision Sciences (1.3k citations), Communication (3.8k citations), Sociology and Political Science (10.5k citations), Health (1.5k citations) and Cognitive Neuroscience (2.9k citations). Gordon Pennycook has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include David G. Rand, Jonathan A. Fugelsang, Derek J. Koehler, Tyrone D. Cannon, James Allan Cheyne, Jonathon McPhetres, Valerie A. Thompson, Yunhao Zhang, Jackson G. Lu and Adam J. Berinsky. Their work appears in journals such as Judgment and Decision Making, Journal of Experimental Psychology General, Cognition, Personality and Social Psychology Bulletin and Psychonomic Bulletin & Review.

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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