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David G. Rand

Active 2007–2026

147
Papers
41,541
Citations
84
h-index
130
i10-index

Citations

Citations per year for David G. Rand1938: 8 citations1975: 1 citations1983: 1 citations1998: 1 citations2002: 1 citations2004: 1 citations2005: 2 citations2008: 5 citations2009: 12 citations2010: 40 citations2011: 73 citations2012: 103 citations2013: 198 citations2014: 258 citations2015: 305 citations2016: 262 citations2017: 309 citations2018: 322 citations2019: 738 citations2020: 1,394 citations2021: 1,731 citations2022: 1,382 citations2023: 1,202 citations2024: 1,328 citations2025: 956 citations2026: 269 citations2027: 4 citations1939–1974: no citations, so these years are not shown1976–1982: no citations, so these years are not shown1984–1997: no citations, so these years are not shown1999–2001: no citations, so these years are not shown2003: no citations, so this year is not shown2006–2007: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 2,732 citing papers, 23.3% of this breakdownChina: 1,194 citing papers, 10.2% of this breakdownUnited Kingdom: 959 citing papers, 8.2% of this breakdownGermany: 644 citing papers, 5.5% of this breakdownCanada: 416 citing papers, 3.5% of this breakdownItaly: 401 citing papers, 3.4% of this breakdownNetherlands: 375 citing papers, 3.2% of this breakdownAustralia: 371 citing papers, 3.1% of this breakdownSpain: 289 citing papers, 2.5% of this breakdownFrance: 232 citing papers, 2% of this breakdownAustria: 231 citing papers, 2% of this breakdownSwitzerland: 221 citing papers, 1.9% of this breakdown
0%23.3%Other 31.2%

Institutions

Fields

  • Social Sciences54%
  • Computer Science10%
  • Psychology8.8%
  • Neuroscience8.1%
  • Physics and Astronomy4.1%
  • Medicine3.2%
  • Other11.8%

Topics

  • Misinformation and Its Impacts10.2%
  • Evolutionary Game Theory and Cooperation6.1%
  • Psychology of Moral and Emotional Judgment4.7%
  • Experimental Behavioral Economics Studies4%
  • Social Media and Politics3.7%
  • Hate Speech and Cyberbullying Detection3.6%
  • Other67.7%

Coauthors

All papers

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  1. Lazy, not biased: Susceptibility to partisan fake news is better explained by lack of reasoning than by motivated reasoning

    Authors: Gordon Pennycook, David G. Rand - Cognition 2018 cited by 1,985

  2. Statistical physics of human cooperation

    Authors: Matjaz Perc, Jillian J. Jordan, David G. Rand, Zhen Wang, Stefano Boccaletti, Attila Szolnoki - Physics Reports 2017 cited by 1,547

  3. The Psychology of Fake News

    Authors: Gordon Pennycook, David G. Rand - Trends in Cognitive Sciences 2020 cited by 1,200

  4. Shifting attention to accuracy can reduce misinformation online

    Authors: Gordon Pennycook, Ziv Epstein, Mohsen Mosleh, Antonio A. Arechar, Dean Eckles, David G. Rand - Nature 2019 cited by 1,133

  5. The Implied Truth Effect: Attaching Warnings to a Subset of Fake News Headlines Increases Perceived Accuracy of Headlines Without Warnings

    Authors: Gordon Pennycook, Adam Bear, Evan T. Collins, David G. Rand - Management Science, Manag. Sci. 2020 cited by 721

  6. Fighting COVID-19 Misinformation on Social Media: Experimental Evidence for a Scalable Accuracy-Nudge Intervention

    Authors: Gordon Pennycook, Jonathon McPhetres, Yunhao Zhang, Jackson G. Lu, David G. Rand - Psychological Science 2020 cited by 1,742

  7. Fighting misinformation on social media using crowdsourced judgments of news source quality

    Authors: Gordon Pennycook, David G. Rand - National Academy of Sciences, Proceedings of the National Academy of Sciences 2019 cited by 939

  8. Using Social and Behavioural Science to Support COVID-19 Pandemic Response

    Authors: Jay Joseph Van Bavel, Katherine Baicker, Paulo S. Boggio, Valerio Capraro, Aleksandra Cichocka, Mina Cikara, Molly J. Crockett, Alia J. Crum, Karen M. Douglas, James Druckman, John Drury, Oeindrila Dube, Naomi Ellemers, Eli J. Finkel, James H. Fowler, Michele J. Gelfand, Shihui Han, S. Alexander Haslam, Jolanda Jetten, Shinobu Kitayama, Dean Mobbs, Lucy E. Napper, Dominic J. Packer, Gordon Pennycook, Ellen Peters, Richard E. Petty, David G. Rand, Steve Reicher, Simone Schnall, Azim Shariff, Linda J. Skitka, Sandra Susan Smith, Cass R. Sunstein, Nassim Tabri, Joshua A. Tucker, Sander van der Linden, Paul A. M. Van Lange, Kim A. Weeden, Michael J. A. Wohl, Jamil Zaki, Sean R. Zion, Robb Willer - Nature Human Behaviour 2020 cited by 5,060

  9. Structural Topic Models for Open‐Ended Survey Responses

    Authors: Margaret E. Roberts, Brandon Stewart, Dustin Tingley, Christopher Lucas, Jetson Leder‐Luis, Shana Kushner Gadarian, Bethany Albertson, David G. Rand - American Journal of Political Science 2014 cited by 1,929

  10. Human cooperation

    Authors: David G. Rand, Martin A. Nowak - Trends in Cognitive Sciences 2013 cited by 1,297

  11. Who falls for fake news? The roles of bullshit receptivity, overclaiming, familiarity, and analytic thinking

    Authors: Gordon Pennycook, David G. Rand - Journal of Personality 2019 cited by 812

  12. Reliance on emotion promotes belief in fake news

    Authors: Cameron Martel, Gordon Pennycook, David G. Rand - Cognitive Research Principles and Implications 2020 cited by 447

  13. Fake news, fast and slow: Deliberation reduces belief in false (but not true) news headlines.

    Authors: Bence Bagó, David G. Rand, Gordon Pennycook - Journal of Experimental Psychology General 2019 cited by 560

  14. Scaling Up Fact-Checking Using the Wisdom of Crowds

    Authors: Jennifer Allen, Antonio A. Arechar, Gordon Pennycook, David G. Rand - Science Advances 2020 cited by 182

  15. Accuracy prompts are a replicable and generalizable approach for reducing the spread of misinformation

    Authors: Gordon Pennycook, David G. Rand - Nature Communications 2022 cited by 244

  16. Exploring Lightweight Interventions at Posting Time to Reduce the Sharing of Misinformation on Social Media

    Authors: Farnaz Jahanbakhsh, Amy X. Zhang, Adam J. Berinsky, Gordon Pennycook, David G. Rand, David R. Karger - on Human-Computer Interaction, Proc. ACM Hum. Comput. Interact. 2021 cited by 111

  17. Toolbox of individual-level interventions against online misinformation

    Authors: Anastasia Kozyreva, Philipp Lorenz-Spreen, Stefan M. Herzog, Ullrich K. H. Ecker, Stephan Lewandowsky, Ralph Hertwig, Ayesha Ali, Joseph B. Bak-Coleman, Sarit Barzilai, Melisa Basol, Adam J. Berinsky, Cornelia Betsch, John Cook, Lisa K. Fazio, Michael Geers, Andrew M. Guess, Haifeng Huang, Horacio Larreguy, Rakoen Maertens, Folco Panizza, Gordon Pennycook, David G. Rand, Steve Rathje, Jason Reifler, Philipp Schmid, Mark D. Smith, Briony Swire‐Thompson, Paula Szewach, Sander van der Linden, Sam Wineburg - Nature Human Behaviour 2024 cited by 160

  18. Political sectarianism in America

    Authors: Eli J. Finkel, Christopher A. Bail, Mina Cikara, Peter H. Ditto, Shanto Iyengar, Samara Klar, Lilliana Mason, Mary C. McGrath, Brendan Nyhan, David G. Rand, Linda J. Skitka, Joshua A. Tucker, Jay J. Van Bavel, Cynthia S. Wang, James Druckman - Science 2020 cited by 934

  19. Who Gets Credit for AI-Generated Art?

    Authors: Ziv Epstein, Sydney Levine, David G. Rand, Iyad Rahwan - iScience 2020 cited by 142

  20. Dynamic social networks promote cooperation in experiments with humans

    Authors: David G. Rand, Samuel Arbesman, Nicholas A. Christakis - National Academy of Sciences, Proceedings of the National Academy of Sciences 2011 cited by 686

  21. Timing matters when correcting fake news

    Authors: Nadia M. Brashier, Gordon Pennycook, Adam J. Berinsky, David G. Rand - National Academy of Sciences, Proceedings of the National Academy of Sciences 2021 cited by 205

  22. A Practical Guide to Doing Behavioral Research on Fake News and Misinformation

    Authors: Gordon Pennycook, Jabin Binnendyk, Christie Newton, David G. Rand - Collabra Psychology 2021 cited by 168

  23. The social media context interferes with truth discernment

    Authors: Ziv Epstein, Nathaniel Sirlin, Antonio A. Arechar, Gordon Pennycook, David G. Rand - Science Advances 2023 cited by 101

  24. What label should be applied to content produced by generative AI?

    Authors: Ziv Epstein, Mengying Cathy Fang, Antonio A. Arechar, David G. Rand - 2023 cited by 41