Lisa P. Argyle

2.9k total citations · 2 hit papers
19 papers, 1.3k citations indexed

About

Lisa P. Argyle is a scholar working on Sociology and Political Science, Political Science and International Relations and Communication. According to data from OpenAlex, Lisa P. Argyle has authored 19 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Sociology and Political Science, 9 papers in Political Science and International Relations and 8 papers in Communication. Recurrent topics in Lisa P. Argyle's work include Electoral Systems and Political Participation (7 papers), Social Media and Politics (7 papers) and Gender Politics and Representation (5 papers). Lisa P. Argyle is often cited by papers focused on Electoral Systems and Political Participation (7 papers), Social Media and Politics (7 papers) and Gender Politics and Representation (5 papers). Lisa P. Argyle collaborates with scholars based in United States and Finland. Lisa P. Argyle's co-authors include Christopher A. Bail, M. B. Fallin Hunzaker, Marcus Mann, Friedolin Merhout, Haohan Chen, Alexander Volfovsky, Taylor Brown, Jaemin Lee, Ethan C. Busby and David Wingate and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Scientific Reports.

In The Last Decade

Lisa P. Argyle

15 papers receiving 1.2k citations

Hit Papers

Exposure to opposing views on social media can increase p... 2018 2026 2020 2023 2018 2023 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Lisa P. Argyle United States 6 726 587 304 258 210 19 1.3k
Marcus Mann United States 6 768 1.1× 579 1.0× 179 0.6× 241 0.9× 222 1.1× 12 1.1k
Alexander Volfovsky United States 10 770 1.1× 646 1.1× 228 0.8× 282 1.1× 211 1.0× 30 1.2k
M. B. Fallin Hunzaker United States 5 734 1.0× 562 1.0× 172 0.6× 246 1.0× 200 1.0× 6 1.1k
Friedolin Merhout United States 7 764 1.1× 650 1.1× 204 0.7× 275 1.1× 209 1.0× 8 1.1k
Kevin Munger United States 17 685 0.9× 576 1.0× 288 0.9× 104 0.4× 180 0.9× 42 1.1k
Neta Kligler-Vilenchik Israel 24 825 1.1× 981 1.7× 224 0.7× 126 0.5× 171 0.8× 54 1.4k
Hal Roberts United States 14 1.0k 1.4× 882 1.5× 362 1.2× 123 0.5× 299 1.4× 31 1.7k
Alexandra Siegel United States 11 769 1.1× 616 1.0× 304 1.0× 123 0.5× 219 1.0× 20 1.1k
Robert Faris United States 11 732 1.0× 663 1.1× 255 0.8× 103 0.4× 219 1.0× 34 1.2k
Marco Bastos Ireland 17 719 1.0× 696 1.2× 299 1.0× 184 0.7× 151 0.7× 78 1.2k

Countries citing papers authored by Lisa P. Argyle

Since Specialization
Citations

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

Fields of papers citing papers by Lisa P. Argyle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lisa P. Argyle. 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 Lisa P. Argyle. The network helps show where Lisa P. Argyle may publish in the future.

Co-authorship network of co-authors of Lisa P. Argyle

This figure shows the co-authorship network connecting the top 25 collaborators of Lisa P. Argyle. A scholar is included among the top collaborators of Lisa P. Argyle 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 Lisa P. Argyle. Lisa P. Argyle is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Argyle, Lisa P., et al.. (2025). Arti-‘fickle’ intelligence: using LLMs as a tool for inference in the political and social sciences. Nature Computational Science. 5(9). 737–744.
2.
Argyle, Lisa P.. (2025). Political persuasion by artificial intelligence. Science. 390(6777). 983–984.
3.
Argyle, Lisa P., et al.. (2025). Balancing Large Language Model Alignment and Algorithmic Fidelity in Social Science Research. Sociological Methods & Research. 54(3). 1110–1155. 3 indexed citations
4.
Argyle, Lisa P., et al.. (2025). Testing theories of political persuasion using AI. Proceedings of the National Academy of Sciences. 122(18). e2412815122–e2412815122. 5 indexed citations
5.
Argyle, Lisa P., et al.. (2024). The Ideological Asymmetry of White Identity. The Journal of Politics. 87(2). 795–800.
6.
Argyle, Lisa P., et al.. (2024). The Role of Self-Threat and Self-Affirmation in Initiation of Political Conversations. American Politics Research. 52(6). 655–670. 1 indexed citations
7.
Argyle, Lisa P., et al.. (2024). The Political Psychology of Cancel Culture: Value Framing or Group Identity?. Political Research Quarterly. 77(4). 1130–1145.
8.
Argyle, Lisa P., et al.. (2023). Perceived gender and political persuasion: a social media field experiment during the 2020 US Democratic presidential primary election. Scientific Reports. 13(1). 14051–14051. 2 indexed citations
9.
Argyle, Lisa P. & Michael Barber. (2023). Misclassification and Bias in Predictions of Individual Ethnicity from Administrative Records. American Political Science Review. 118(2). 1058–1066. 6 indexed citations
10.
Argyle, Lisa P., Ethan C. Busby, Nancy Fulda, et al.. (2023). Out of One, Many: Using Language Models to Simulate Human Samples. Political Analysis. 31(3). 337–351. 250 indexed citations breakdown →
11.
Argyle, Lisa P., Christopher A. Bail, Ethan C. Busby, et al.. (2023). Leveraging AI for democratic discourse: Chat interventions can improve online political conversations at scale. Proceedings of the National Academy of Sciences. 120(41). e2311627120–e2311627120. 60 indexed citations
12.
Argyle, Lisa P., Rochelle Terman, & Matti Nelimarkka. (2022). Religious Freedom in the City Pool: Gender Segregation, Partisanship, and the Construction of Symbolic Boundaries. Politics and Religion. 15(4). 700–721. 1 indexed citations
13.
Argyle, Lisa P. & Jeremy C. Pope. (2022). Does Political Participation Contribute to Polarization in the United States?. Public Opinion Quarterly. 86(3). 697–707. 5 indexed citations
14.
Argyle, Lisa P., et al.. (2021). Debate Reaction Ideal Points: Political Ideology Measurement Using Real-Time Reaction Data. 12(1). 5–28. 2 indexed citations
15.
Argyle, Lisa P. & Tali Mendelberg. (2020). Improving Women’s Advancement in Political Science: What We Know About What Works. PS Political Science & Politics. 53(4). 718–722. 13 indexed citations
16.
Bail, Christopher A., Lisa P. Argyle, Taylor Brown, et al.. (2018). Exposure to opposing views on social media can increase political polarization. Proceedings of the National Academy of Sciences. 115(37). 9216–9221. 904 indexed citations breakdown →
17.
Bail, Christopher A., Lisa P. Argyle, Taylor Brown, et al.. (2018). Exposure to Opposing Views can Increase Political Polarization: Evidence from a Large-Scale Field Experiment on Social Media. SocArXiv (OSF Preprints). 11 indexed citations
18.
Argyle, Lisa P.. (2016). The Paradox of Persuasion: Interpersonal Influence in Everyday Conversation. eScholarship (California Digital Library). 1 indexed citations
19.
Argyle, Lisa P., et al.. (2016). Economic performance and presidential trait evaluations: A longitudinal analysis. Electoral Studies. 43. 52–62. 2 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

Rankless by CCL
2026