Ben M Tappin

1.7k total citations
22 papers, 715 citations indexed

About

Ben M Tappin is a scholar working on Sociology and Political Science, Political Science and International Relations and Cognitive Neuroscience. According to data from OpenAlex, Ben M Tappin has authored 22 papers receiving a total of 715 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Sociology and Political Science, 6 papers in Political Science and International Relations and 6 papers in Cognitive Neuroscience. Recurrent topics in Ben M Tappin's work include Social and Intergroup Psychology (10 papers), Electoral Systems and Political Participation (6 papers) and Psychology of Moral and Emotional Judgment (6 papers). Ben M Tappin is often cited by papers focused on Social and Intergroup Psychology (10 papers), Electoral Systems and Political Participation (6 papers) and Psychology of Moral and Emotional Judgment (6 papers). Ben M Tappin collaborates with scholars based in United Kingdom, United States and Australia. Ben M Tappin's co-authors include David G. Rand, Ryan McKay, Gordon Pennycook, Valerio Capraro, Adam J. Berinsky, Chloe Wittenberg, Stephen Gadsby, Luke Hewitt, Michael N. Stagnaro and Carmine M. Pariante and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and American Political Science Review.

In The Last Decade

Ben M Tappin

21 papers receiving 677 citations

Peers

Ben M Tappin

SPS

COMMU

PSIR

Andrea Pereira Switzerland

Philip Pärnamets Sweden

Michael N. Stagnaro United States

Sean P. Wojcik United States

C. Thi Nguyen United States

Julian Wills United States

Joohan Kim South Korea

Boaz Hameiri Israel

Rim Saab United Kingdom

Felicity M. Turner‐Zwinkels Netherlands

Andrea Pereira Switzerland

Ben M Tappin

510 ×1.1

SPS

137 ×0.8

162 ×1.2

COMMU

76 ×0.8

PSIR

33 ×0.4

Citations per year, relative to Ben M Tappin Ben M Tappin (= 1×) peers Andrea Pereira

Countries citing papers authored by Ben M Tappin

Since Specialization

Citations

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

Fields of papers citing papers by Ben M Tappin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ben M Tappin. 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 Ben M Tappin. The network helps show where Ben M Tappin may publish in the future.

Co-authorship network of co-authors of Ben M Tappin

This figure shows the co-authorship network connecting the top 25 collaborators of Ben M Tappin. A scholar is included among the top collaborators of Ben M Tappin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ben M Tappin. Ben M Tappin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Tappin, Ben M, et al.. (2025). Comparing the persuasiveness of role-playing large language models and human experts on polarized U.S. political issues. AI & Society. 41(1). 351–361. 1 indexed citations

Tappin, Ben M, Luke Hewitt, Stewart Black, et al.. (2025). The levers of political persuasion with conversational artificial intelligence. Science. 390(6777). eaea3884–eaea3884. 2 indexed citations

Tappin, Ben M, et al.. (2025). Scaling language model size yields diminishing returns for single-message political persuasion. Proceedings of the National Academy of Sciences. 122(10). e2413443122–e2413443122. 4 indexed citations

Hewitt, Luke, David Broockman, Alexander Coppock, et al.. (2024). How Experiments Help Campaigns Persuade Voters: Evidence from a Large Archive of Campaigns’ Own Experiments. American Political Science Review. 118(4). 2021–2039. 15 indexed citations

Tappin, Ben M & Luke Hewitt. (2024). Using survey experiment pretesting to support future pandemic response. PNAS Nexus. 3(11). pgae469–pgae469.

Tappin, Ben M, Adam J. Berinsky, & David G. Rand. (2023). Partisans’ receptivity to persuasive messaging is undiminished by countervailing party leader cues. Nature Human Behaviour. 7(4). 568–582. 27 indexed citations

Stagnaro, Michael N., Ben M Tappin, & David G. Rand. (2023). No association between numerical ability and politically motivated reasoning in a large US probability sample. Proceedings of the National Academy of Sciences. 120(32). e2301491120–e2301491120. 13 indexed citations

Tappin, Ben M. (2022). Estimating the Between-Issue Variation in Party Elite Cue Effects. Public Opinion Quarterly. 86(4). 862–885. 13 indexed citations

Tappin, Ben M & Luke Hewitt. (2021). Estimating the Persistence of Party Cue Influence in a Panel Survey Experiment. Journal of Experimental Political Science. 10(1). 50–61. 5 indexed citations

10.

Wittenberg, Chloe, Ben M Tappin, Adam J. Berinsky, & David G. Rand. (2021). The (minimal) persuasive advantage of political video over text. Proceedings of the National Academy of Sciences. 118(47). 49 indexed citations

11.

Tappin, Ben M, Gordon Pennycook, & David G. Rand. (2020). Rethinking the link between cognitive sophistication and politically motivated reasoning.. Journal of Experimental Psychology General. 150(6). 1095–1114. 66 indexed citations

12.

Tappin, Ben M, Gordon Pennycook, & David G. Rand. (2020). Bayesian or biased? Analytic thinking and political belief updating. Cognition. 204. 104375–104375. 68 indexed citations

13.

Tappin, Ben M, Gordon Pennycook, & David G. Rand. (2020). Thinking clearly about causal inferences of politically motivated reasoning: why paradigmatic study designs often undermine causal inference. Current Opinion in Behavioral Sciences. 34. 81–87. 90 indexed citations

14.

Tappin, Ben M & Stephen Gadsby. (2019). Biased belief in the Bayesian brain: A deeper look at the evidence. Consciousness and Cognition. 68. 107–114. 32 indexed citations

15.

Tappin, Ben M & Ryan McKay. (2019). Moral polarization and out-party hostility in the US political context. Journal of Social and Political Psychology. 7(1). 213–245. 38 indexed citations

16.

Tappin, Ben M & Ryan McKay. (2018). Investigating the Relationship Between Self-Perceived Moral Superiority and Moral Behavior Using Economic Games. Social Psychological and Personality Science. 10(2). 135–143. 7 indexed citations

17.

Tappin, Ben M & Valerio Capraro. (2018). Doing good vs. avoiding bad in prosocial choice: A refined test and extension of the morality preference hypothesis. Journal of Experimental Social Psychology. 79. 64–70. 69 indexed citations

18.

Tappin, Ben M, et al.. (2017). The heart trumps the head: Desirability bias in political belief revision.. Journal of Experimental Psychology General. 146(8). 1143–1149. 57 indexed citations

19.

Cullen, Alexis E., Ben M Tappin, Patricia A. Zunszain, et al.. (2017). The relationship between salivary C-reactive protein and cognitive function in children aged 11–14 years: Does psychopathology have a moderating effect?. Brain Behavior and Immunity. 66. 221–229. 33 indexed citations

20.

Tappin, Ben M & Ryan McKay. (2016). The Illusion of Moral Superiority. Social Psychological and Personality Science. 8(6). 623–631. 82 indexed citations

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.

Explore authors with similar magnitude of impact