Will Horne

904 citations
10 papers · 447 · 2 hit papers · h-index 5

Impact in

Papers in

Will Horne

6 papers receiving 429 citations

Will Horne's Hit Papers

Who Dislikes Whom? Affective Polarization between Pairs of Parties in Western Democracies 2022 · 85 citations
850+2+4Years since publication50100150200250

Peers

Will Horne
Comparison fields: 5 of 44
  • Communication 174
  • Political Science and International Relations 310
  • Gender Studies 46
  • Sociology and Political Science 186
  • Linguistics and Language 7
Replace Joseph L. Sutherland with:
Joseph L. Sutherland United States
Andres Reiljan Italy
Jasper Muis Netherlands
Jens Olav Dahlgaard Denmark
José Rama Spain
William G. Mayer United States
Ashley Esarey United States
Ali Adam Valenzuela United States
Stephen Quinlan Germany
Marijn van Klingeren Netherlands
Will Horne relative to Joseph L. Sutherland United States Joseph L. Sutherland's profile →
Citations per field
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Joseph L. Sutherland · 1×
Citations per year

Countries citing papers authored by Will Horne

Since Specialization
Citations

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

Fields of papers citing papers by Will Horne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside Will Horne, 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 Will Horne Line = papers co-authored together Will Horne links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1
American Affective Polarization in Comparative Perspective
Hit paper breakdown →
2020282
2
Who Dislikes Whom? Affective Polarization between Pairs of Parties in Western Democracies
Hit paper breakdown →
202285
3 202237
4 202226
5 202312
6 20225
7 20250
8 20250
9 20250
10 20240

About Will Horne

Will Horne is a scholar working on Communication, Political Science and International Relations, Gender Studies, Strategy and Management and Sociology and Political Science, having authored 10 papers that have together received 447 indexed citations. Recurring topics across this work include Electoral Systems and Political Participation (9 papers), Populism, Right-Wing Movements (9 papers), Social Media and Politics (5 papers), Gender Politics and Representation (2 papers), Social and Cultural Dynamics (1 paper) and Political Influence and Corporate Strategies (1 paper). The work is most often cited by research in Communication (174 citations), Political Science and International Relations (310 citations), Gender Studies (46 citations), Sociology and Political Science (186 citations) and Linguistics and Language (7 citations). Will Horne has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include James Adams, Noam Gidron, Diana Z. O’Brien, Simon Weschle, Christopher B. Wlezien and Thomas Balogh. Their work appears in journals such as British Journal of Political Science, Journal of Elections Public Opinion and Parties, Public Opinion Quarterly, American Political Science Review and Comparative Political Studies.

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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