David K. Park

1.5k citations
18 papers · 852 indexed · h-index 9

Impact in

Papers in

David K. Park

18 papers receiving 797 citations

Peers

David K. Park
Comparison fields: 5 of 129
  • Communication 123
  • Political Science and International Relations 374
  • Statistics and Probability 87
  • Strategy and Management 117
  • General Social Sciences 22
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Carlisle Rainey United States
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Citations per field
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Citations per year

Countries citing papers authored by David K. Park

Since Specialization
Citations

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

Fields of papers citing papers by David K. Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David K. Park. 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 David K. Park. The network helps show where David K. Park may publish in the future.

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 20231
2 20237
3 20228
4 20187
5 20169
6 20158
7 20151
8 201213
9
Understanding persuasion and activation in presidential campaigns: The random walk and mean-reversion models
20113
10 2009135
11
The Two-Sided Market Literature Enriches Traditional Antitrust Analysis
20074
12 2006137
13 2005151
14 200420
15 20043
16 2004281
17
State-Level Opinions from National Surveys: Poststratification using Hierarchical Logistic Regression *
20022
18 200162

About David K. Park

David K. Park is a scholar working on Communication, General Decision Sciences, Political Science and International Relations, Statistics and Probability and Law, having authored 18 papers that have together received 852 indexed citations. Recurring topics across this work include Electoral Systems and Political Participation (6 papers), Social Media and Politics (4 papers), Media Influence and Politics (3 papers), Statistical Methods and Bayesian Inference (2 papers), Statistical Methods and Inference (2 papers), Banking stability, regulation, efficiency (2 papers), Political Influence and Corporate Strategies (2 papers) and Tuberous Sclerosis Complex Research (1 paper). The work is most often cited by research in Communication (123 citations), Political Science and International Relations (374 citations), Statistics and Probability (87 citations), Strategy and Management (117 citations) and General Social Sciences (22 citations). David K. Park has collaborated with scholars based in United States, South Korea and India. Frequent co-authors include Andrew Gelman, Joseph Bafumi, Noah Kaplan, Travis N. Ridout, Stephen Ansolabehere, Lorraine C. Minnite, Phillip N. Price, Sameer Maskey, Kaiping Chen and Sharyn O’Halloran. Their work appears in journals such as Epilepsia, Political Analysis, Presidential Studies Quarterly, American Journal of Political Science and The Annals of Thoracic Surgery.

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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