John Wilkerson

3.2k citations
50 papers · 1.7k · 2 hit papers · h-index 20

Impact in

Papers in

John Wilkerson

48 papers receiving 1.6k citations

John Wilkerson's Hit Papers

Pandemic Politics: Timing State-Level Social Distancing Responses to COVID-19 2020 · 291 citations
2910+3+6Years since publication50100150200250

Peers

John Wilkerson
Comparison fields: 5 of 116
  • General Social Sciences 259
  • Political Science and International Relations 781
  • Modeling and Simulation 108
  • Communication 166
  • Public Administration 82
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Michael P. Colaresi United States
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Countries citing papers authored by John Wilkerson

Since Specialization
Citations

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

Fields of papers citing papers by John Wilkerson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Pandemic Politics: Timing State-Level Social Distancing Responses to COVID-19
Hit paper breakdown →
2020291
2
Large-Scale Computerized Text Analysis in Political Science: Opportunities and Challenges
Hit paper breakdown →
2017165
3 2013153
4 2009119
5 2011115
6 2015101
7 200897
8 201179
9 200668
10 199652
11 201251
12 201949
13 202045
14 199935
15 200835
16 201928
17 201823
18 200820
19
Detecting and Modeling Local Text Reuse
201519
20 202119

About John Wilkerson

John Wilkerson is a scholar working on Political Science and International Relations, Strategy and Management, General Social Sciences, Economics and Econometrics and Sociology and Political Science, having authored 50 papers that have together received 1.7k indexed citations. Recurring topics across this work include Electoral Systems and Political Participation (19 papers), Political Influence and Corporate Strategies (12 papers), Computational and Text Analysis Methods (11 papers), Policy Transfer and Learning (7 papers), Social Media and Politics (5 papers), Judicial and Constitutional Studies (4 papers), Advanced Text Analysis Techniques (4 papers) and Data Visualization and Analytics (3 papers). The work is most often cited by research in General Social Sciences (259 citations), Political Science and International Relations (781 citations), Modeling and Simulation (108 citations), Communication (166 citations) and Public Administration (82 citations). John Wilkerson has collaborated with scholars based in United States, Netherlands and Canada. Frequent co-authors include Andreu Casas, E. Scott Adler, Bryan D. Jones, Bree Bang-Jensen, Christopher Adolph, Kenya Amano, Nancy Fullman, David A. Smith, Frank R. Baumgartner and Christoffer Green‐Pedersen. Their work appears in journals such as American Journal of Political Science, Journal of Information Technology & Politics, The Journal of Politics, Annual Review of Political Science and Legislative Studies Quarterly.

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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