Jonathan Woon

33 papers receiving 744 citations

Jonathan Woon's Hit Papers

Women Don't Run? Election Aversion and Candidate Entry 2014 · 260 citations
2600+4+8Years since publication50100150200250

Peers

Jonathan Woon
Comparison fields: 5 of 39
  • Gender Studies 224
  • Safety Research 145
  • Political Science and International Relations 391
  • Economics and Econometrics 95
  • General Decision Sciences 8
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Countries citing papers authored by Jonathan Woon

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Woon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Jonathan Woon, 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 Jonathan Woon Line = papers co-authored together Jonathan Woon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Women Don't Run? Election Aversion and Candidate Entry
Hit paper breakdown →
2014260
2 201192
3 201262
4 200860
5 200856
6 200847
7 200930
8 200528
9 201224
10 201516
11 201815
12 201313
13 201613
14 201812
15 20099
16 20129
17 20147
18 20206
19 20185
20 20195

About Jonathan Woon

Jonathan Woon is a scholar working on Safety Research, Political Science and International Relations, Economics and Econometrics, Management Science and Operations Research and General Decision Sciences, having authored 34 papers that have together received 800 indexed citations. Recurring topics across this work include Electoral Systems and Political Participation (18 papers), Experimental Behavioral Economics Studies (14 papers), Game Theory and Voting Systems (11 papers), Political Science Research and Education (2 papers), Game Theory and Applications (2 papers), Fiscal Policies and Political Economy (2 papers), Gender Politics and Representation (1 paper) and Publishing and Scholarly Communication (1 paper). The work is most often cited by research in Gender Studies (224 citations), Safety Research (145 citations), Political Science and International Relations (391 citations), Economics and Econometrics (95 citations) and General Decision Sciences (8 citations). Jonathan Woon has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Kristin Kanthak, Jeremy C. Pope, Roberto A. Weber, William Minozzi, Sarah E. Anderson, Adam Meirowitz, Keith Krehbiel, Stephen Chaudoin, Logan Dancey and Rick K. Wilson. Their work appears in journals such as Journal of Experimental Political Science, American Journal of Political Science, The Journal of Politics, PS Political Science & Politics and Journal of Economic Behavior & Organization.

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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