Kenneth Benoit

11.6k citations
91 papers · 6.8k · 4 hit papers · h-index 37

Impact in

Papers in

Kenneth Benoit

87 papers receiving 6.1k citations

Kenneth Benoit's Hit Papers

quanteda: An R package for the quantitative analysis of textual data 2018 · 814 citations
8140+7+15Years since publication2505007501000

Peers

Kenneth Benoit
Comparison fields: 5 of 148
  • General Social Sciences 781
  • Political Science and International Relations 4.5k
  • Communication 936
  • Strategy and Management 1.5k
  • Gender Studies 524
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Citations per field
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Citations per year

Countries citing papers authored by Kenneth Benoit

Since Specialization
Citations

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

Fields of papers citing papers by Kenneth Benoit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kenneth Benoit, 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 Kenneth Benoit Line = papers co-authored together Kenneth Benoit links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Party Policy in Modern Democracies
Hit paper breakdown →
20061004
2
Extracting Policy Positions from Political Texts Using Words as Data
Hit paper breakdown →
2003896
3
quanteda: An R package for the quantitative analysis of textual data
Hit paper breakdown →
2018814
4
Scaling Policy Preferences from Coded Political Texts
Hit paper breakdown →
2011439
5 2006220
6 2009219
7 2003196
8 2016193
9 2017178
10 2011175
11 2007120
12 2016120
13 1996116
14 2020113
15 2009101
16 200498
17 201294
18 201092
19 201186
20 200376

About Kenneth Benoit

Kenneth Benoit is a scholar working on Political Science and International Relations, Sociology and Political Science, Strategy and Management, General Social Sciences and Communication, having authored 91 papers that have together received 6.8k indexed citations. Recurring topics across this work include Electoral Systems and Political Participation (52 papers), Political Influence and Corporate Strategies (17 papers), Computational and Text Analysis Methods (15 papers), Social Media and Politics (11 papers), Social Policy and Reform Studies (8 papers), Media Influence and Politics (7 papers), European Union Policy and Governance (6 papers) and Policy Transfer and Learning (6 papers). The work is most often cited by research in General Social Sciences (781 citations), Political Science and International Relations (4.5k citations), Communication (936 citations), Strategy and Management (1.5k citations) and Gender Studies (524 citations). Kenneth Benoit has collaborated with scholars based in Ireland, United Kingdom and United States. Frequent co-authors include Michael Laver, Michael Laver, Slava Mikhaylov, John Garry, Will Lowe, Akitaka Matsuo, Paul Nulty, Adam Obeng, Kohei Watanabe and Stefan Müller. Their work appears in journals such as American Journal of Political Science, Electoral Studies, Irish Political Studies, Political Analysis and European Journal of Political Research.

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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