Douglas Rivers

29 papers receiving 3.7k citations

Hit Papers

The Statistical Analysis of Roll Call Data 2004 · 765 citations
76519882026200020132505007501000

Peers

Douglas Rivers
Comparison fields: 5 of 132
  • Political Science and International Relations 1.7k
  • General Economics, Econometrics and Finance 503
  • Development 205
  • Economics and Econometrics 1.5k
  • Strategy and Management 713
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Citations per field
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Citations per year

Countries citing papers authored by Douglas Rivers

Since Specialization
Citations

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

Fields of papers citing papers by Douglas Rivers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201922
2 201670
3 2013184
4 2008284
5 2007199
6 20050
7
Model Selection Tests for Nonlinear Dynamic Models
200210
8 20001
9 199927
10 19989
11 199740
12 199627
13 199032
14 1989243
15 19892
16 198899
17 1985190
18 1984112
19 19775
20
Advances in digital signal processing with applications to airborne pulse Doppler radar
19771

About Douglas Rivers

Douglas Rivers is a scholar working on Political Science and International Relations, Statistics and Probability, General Economics, Econometrics and Finance, Development and Economics and Econometrics, having authored 32 papers that have together received 4.2k indexed citations. Recurring topics across this work include Electoral Systems and Political Participation (15 papers), Game Theory and Voting Systems (4 papers), Survey Methodology and Nonresponse (4 papers), Economic and Environmental Valuation (3 papers), Statistical Methods and Inference (3 papers), Global trade and economics (3 papers), Image and Signal Denoising Methods (2 papers) and Social Media and Politics (2 papers). The work is most often cited by research in Political Science and International Relations (1.7k citations), General Economics, Econometrics and Finance (503 citations), Development (205 citations), Economics and Econometrics (1.5k citations) and Strategy and Management (713 citations). Douglas Rivers has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Quang Vuong, Joshua D. Clinton, Simon Jackman, Lynn Vavreck, Jeffrey A. Dubin, Michael Tomz, Judith L. Goldstein, Nancy L. Rose, Stephen Ansolabehere and D. Roderick Kiewiet. Their work appears in journals such as American Journal of Political Science, American Political Science Review, Political Behavior, Journal of Econometrics and International 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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2026