Douglas Rivers

29 papers receiving 3.8k citations

Douglas Rivers's Hit Papers

The Statistical Analysis of Roll Call Data 2004 · 777 citations
7770+12+25Years since publication2505007501000

Peers

Douglas Rivers
Comparison fields: 5 of 131
  • Political Science and International Relations 1.8k
  • General Economics, Econometrics and Finance 506
  • Development 205
  • Economics and Econometrics 1.5k
  • Strategy and Management 717
Replace William R. Clark with:
William R. Clark United States
Janet M. Box‐Steffensmeier United States
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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-authors

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

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Limited information estimators and exogeneity tests for simultaneous probit models
Hit paper breakdown →
19881163
2
The Statistical Analysis of Roll Call Data
Hit paper breakdown →
2004777
3 2008288
4 2002249
5 1989244
6 2007202
7 2007191
8 1985190
9 2013189
10 2017118
11 1984112
12 1988100
13 198881
14 201671
15 199740
16 199339
17
Inference From Matched Samples in the 2008 U.S. National Elections
200937
18 199032
19 199627
20 199927

About Douglas Rivers

Douglas Rivers is a scholar working on Political Science and International Relations, Economics and Econometrics, Sociology and Political Science, General Economics, Econometrics and Finance and Statistics and Probability, 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), Survey Methodology and Nonresponse (4 papers), Game Theory and Voting Systems (4 papers), Economic and Environmental Valuation (3 papers), Global trade and economics (3 papers), Statistical Methods and Inference (3 papers), Advanced Statistical Methods and Models (2 papers) and Advanced Causal Inference Techniques (2 papers). The work is most often cited by research in Political Science and International Relations (1.8k citations), General Economics, Econometrics and Finance (506 citations), Development (205 citations), Economics and Econometrics (1.5k citations) and Strategy and Management (717 citations). Douglas Rivers has collaborated with scholars based in United States, United Kingdom and Vietnam. Frequent co-authors include Quang Vuong, Joshua D. Clinton, Simon Jackman, Lynn Vavreck, Jeffrey A. Dubin, Judith L. Goldstein, Michael Tomz, Nancy L. Rose, Stephen Ansolabehere and Keith Krehbiel. Their work appears in journals such as American Journal of Political Science, Journal of Econometrics, American Political Science Review, Political Behavior and International Journal of Forecasting.

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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