Lisa P. Argyle

2.9k citations
19 papers · 1.3k indexed · 2 hit papers · h-index 6

Lisa P. Argyle

15 papers receiving 1.2k citations

Hit Papers

Out of One, Many: Using Languag...2502018202620202023250500750

Peers

Lisa P. Argyle
Comparison fields: 5 of 85
  • Communication 587
  • General Social Sciences 89
  • Statistical and Nonlinear Physics 258
  • Sociology and Political Science 726
  • Health Informatics 17
Replace Alexander Volfovsky with:
Alexander Volfovsky United States
Michelle A. Amazeen United States
Steve Rathje United States
Mykola Makhortykh Switzerland
Cornelius Puschmann Germany
Ronald E. Robertson United States
Judith Moeller Netherlands
Philipp Lorenz-Spreen Germany
Christian Baden Israel
Marcus Mann United States
Lisa P. Argyle relative to Alexander Volfovsky United States Alexander Volfovsky's profile →
Citations per field
00.5×3.9×
Alexander Volfovsky · 1×
Citations per year

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

The 21 scholars most cited alongside Lisa P. Argyle, 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 Lisa P. Argyle Line = papers co-authored together Lisa P. Argyle links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 20250
2 20250
3 20253
4 20255
5 20240
6 20241
7 20240
8 20232
9 20236
10
Out of One, Many: Using Language Models to Simulate Human Samplesbreakdown →
2023250
11 202360
12 20221
13 20225
14 20212
15 202013
16
Exposure to opposing views on social media can increase political polarizationbreakdown →
2018904
17 201811
18
The Paradox of Persuasion: Interpersonal Influence in Everyday Conversation
20161
19 20162

About Lisa P. Argyle

Lisa P. Argyle is a scholar working on Communication, General Social Sciences and Gender Studies, having authored 19 papers that have together received 1.3k indexed citations. Recurring topics across this work include Electoral Systems and Political Participation (7 papers), Social Media and Politics (7 papers), Gender Politics and Representation (5 papers), Computational and Text Analysis Methods (3 papers), Media Influence and Politics (3 papers), Misinformation and Its Impacts (3 papers), Social and Intergroup Psychology (3 papers) and Topic Modeling (2 papers). The work is most often cited by research in Communication (587 citations), General Social Sciences (89 citations) and Statistical and Nonlinear Physics (258 citations). Lisa P. Argyle has collaborated with scholars based in United States and Finland. Frequent 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. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Scientific Reports.

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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