John Wilkerson

3.1k total citations · 1 hit paper
49 papers, 1.7k citations indexed

About

John Wilkerson is a scholar working on Political Science and International Relations, Strategy and Management and General Social Sciences. According to data from OpenAlex, John Wilkerson has authored 49 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Political Science and International Relations, 12 papers in Strategy and Management and 11 papers in General Social Sciences. Recurrent topics in John Wilkerson's work include Electoral Systems and Political Participation (19 papers), Political Influence and Corporate Strategies (12 papers) and Computational and Text Analysis Methods (11 papers). John Wilkerson is often cited by papers focused on Electoral Systems and Political Participation (19 papers), Political Influence and Corporate Strategies (12 papers) and Computational and Text Analysis Methods (11 papers). John Wilkerson collaborates with scholars based in United States, Netherlands and Denmark. John Wilkerson's co-authors include Andreu Casas, E. Scott Adler, Bryan D. Jones, Kenya Amano, Nancy Fullman, Bree Bang-Jensen, Christopher Adolph, Frank R. Baumgartner, David A. Smith and Christoffer Green‐Pedersen and has published in prestigious journals such as American Political Science Review, American Journal of Political Science and The Journal of Politics.

In The Last Decade

John Wilkerson

46 papers receiving 1.6k citations

Hit Papers

Large-Scale Computerized Text Analysis in Political Scien... 2017 2026 2020 2023 2017 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Wilkerson United States 19 774 439 346 258 258 49 1.7k
Will Lowe United Kingdom 19 958 1.2× 984 2.2× 301 0.9× 150 0.6× 195 0.8× 43 2.2k
Michael P. Colaresi United States 22 817 1.1× 1.1k 2.5× 141 0.4× 173 0.7× 385 1.5× 41 1.9k
Joshua D. Clinton United States 26 1.7k 2.2× 885 2.0× 635 1.8× 758 2.9× 114 0.4× 55 2.7k
Jennifer Pan United States 23 1.2k 1.6× 1.7k 3.8× 106 0.3× 118 0.5× 164 0.6× 56 2.8k
Skyler Cranmer United States 18 575 0.7× 821 1.9× 231 0.7× 324 1.3× 23 0.1× 52 1.9k
Alexander Coppock United States 22 1.1k 1.4× 1.7k 3.8× 115 0.3× 266 1.0× 27 0.1× 42 2.8k
Todd Landman United Kingdom 24 741 1.0× 1.1k 2.5× 133 0.4× 136 0.5× 33 0.1× 72 1.8k
Thomas J. Leeper United Kingdom 15 1.4k 1.8× 1.9k 4.4× 154 0.4× 284 1.1× 37 0.1× 42 3.1k
Yonatan Lupu United States 20 566 0.7× 925 2.1× 149 0.4× 166 0.6× 11 0.0× 45 1.5k
Peter John Loewen Canada 21 751 1.0× 1.2k 2.7× 104 0.3× 401 1.6× 15 0.1× 99 2.2k

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-authorship network of co-authors of John Wilkerson

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

All Works

20 of 20 papers shown
1.
Casas, Andreu, et al.. (2025). When Conservatives See Red but Liberals Feel Blue: Labeler Characteristics and Variation in Content Annotation. The Journal of Politics. 88(2). 631–646. 1 indexed citations
2.
Casas, Andreu, et al.. (2023). When Conservatives See Red but Liberals Feel Blue: Why Labeler-Characteristic Bias Matters for Data Annotation. SSRN Electronic Journal. 1 indexed citations
3.
Adolph, Christopher, Kenya Amano, Bree Bang-Jensen, et al.. (2021). Governor Partisanship Explains the Adoption of Statewide Mask Mandates in Response to COVID-19. State Politics & Policy Quarterly. 22(1). 24–49. 19 indexed citations
4.
Adolph, Christopher, Kenya Amano, Bree Bang-Jensen, Nancy Fullman, & John Wilkerson. (2020). Pandemic Politics: Timing State-Level Social Distancing Responses to COVID-19. Journal of Health Politics Policy and Law. 46(2). 211–233. 283 indexed citations
5.
Gade, Emily Kalah, et al.. (2020). Dangers, Toils, and Snares: U.S. Senators' Rhetoric of Public Insecurity and Religiosity. Politics and Religion. 14(3). 460–483.
6.
Gade, Emily Kalah, et al.. (2020). Archived Attributes: An Internet-Text Approach to Measuring Legislator Attitudes and Behavior. British Journal of Political Science. 51(4). 1734–1741. 2 indexed citations
7.
Yano, Tae, Noah A. Smith, & John Wilkerson. (2018). Textual Predictors of Bill Survival in Congressional Committees. Research Showcase @ Carnegie Mellon University (Carnegie Mellon University). 793–802. 23 indexed citations
8.
Smith, David A., et al.. (2014). Detecting and modeling local text reuse. 183–192. 17 indexed citations
9.
Collingwood, Loren & John Wilkerson. (2012). Tradeoffs in Accuracy and Efficiency in Supervised Learning Methods. Journal of Information Technology & Politics. 9(3). 298–318. 50 indexed citations
10.
Parker, Walter C., Susan Mosborg, John D. Bransford, et al.. (2011). Rethinking advanced high school coursework: tackling the depth/breadth tension in the AP US Government and Politics course. Journal of Curriculum Studies. 43(4). 533–559. 80 indexed citations
11.
Adler, E. Scott & John Wilkerson. (2010). The Evolution of Policy: Congress and the Timing and Degree of Policy Change. SSRN Electronic Journal. 2 indexed citations
12.
Wilkerson, John. (2009). Greening the Federal Supply Chain : how to comply with Executive Order 13514. 65(6). 1 indexed citations
13.
Brouard, Sylvain, John Wilkerson, Frank R. Baumgartner, et al.. (2009). Comparing Legislative Production: Issues and Methods. Revue internationale de politique comparée. 16(3). 381–404. 3 indexed citations
14.
Wilkerson, John, Frank R. Baumgartner, Sylvain Brouard, et al.. (2009). The Comparative Agenda Project: Objectives and Content. 16(3). 365–379. 1 indexed citations
15.
Purpura, Stephen, John Wilkerson, & Dustin Hillard. (2008). The U.S. Policy Agenda Legislation Corpus Volume 1 - a Language Resource from 1947 - 1998.. Language Resources and Evaluation. 1 indexed citations
16.
Hillard, Dustin, Stephen Purpura, & John Wilkerson. (2008). Computer-Assisted Topic Classification for Mixed-Methods Social Science Research. Journal of Information Technology & Politics. 4(4). 31–46. 96 indexed citations
17.
Cardie, Claire & John Wilkerson. (2008). Text Annotation for Political Science Research. Journal of Information Technology & Politics. 5(1). 1–6. 34 indexed citations
18.
Wilkerson, John & R. M. Fruland. (2006). Simulating a Federal Legislature. Academic exchange quarterly. 10(4). 38–44. 4 indexed citations
19.
Wilkerson, John. (2003). THEPOLITICALECONOMY OFHEALTH INTHEUNITEDSTATES. Annual Review of Political Science. 6(1). 327–343. 8 indexed citations
20.
Bianco, William T., David B. Spence, & John Wilkerson. (1996). The Electoral Connection in the Early Congress: The Case of the Compensation Act of 1816. American Journal of Political Science. 40(1). 145–145. 49 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