Robert Bohrer

872 citations
45 papers · 648 · h-index 15

Impact in

Papers in

Robert Bohrer

38 papers receiving 573 citations

Peers

Robert Bohrer
Comparison fields: 5 of 109
  • Statistics and Probability 232
  • Management Science and Operations Research 105
  • Statistics, Probability and Uncertainty 57
  • Cardiology and Cardiovascular Medicine 81
  • Cognitive Neuroscience 65
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Jee‐Seon Kim United States
David Magis Belgium
Paul D. Isaac United States
Jennifer Williams Australia
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Tamás Rudas Hungary
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Zhehan Jiang United States
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Citations per field
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Citations per year

Countries citing papers authored by Robert Bohrer

Since Specialization
Citations

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

Fields of papers citing papers by Robert Bohrer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1980127
2 197238
3 200037
4 197837
5 198135
6 197234
7 196732
8 198532
9 198031
10 197929
11 197322
12 200018
13 198117
14 197315
15 197314
16 201913
17 198113
18 198413
19 198910
20 19979

About Robert Bohrer

Robert Bohrer is a scholar working on Statistics and Probability, Political Science and International Relations, Sociology and Political Science, Artificial Intelligence and Management Science and Operations Research, having authored 45 papers that have together received 648 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (8 papers), Statistical Methods and Inference (7 papers), Electoral Systems and Political Participation (7 papers), Multi-Criteria Decision Making (5 papers), Machine Learning and Algorithms (4 papers), Advanced Statistical Process Monitoring (3 papers), Political Conflict and Governance (3 papers) and Optimal Experimental Design Methods (3 papers). The work is most often cited by research in Statistics and Probability (232 citations), Management Science and Operations Research (105 citations), Statistics, Probability and Uncertainty (57 citations), Cardiology and Cardiovascular Medicine (81 citations) and Cognitive Neuroscience (65 citations). Robert Bohrer has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include George K. Francis, Fritz Drasgow, Stephen W. Porges, Gideon Keren, Philip M. McCabe, Alexander C. Pacek, Benjamin Radcliff, T.A. Yancey, Mark J. Schervish and Harvey M. Choldin. Their work appears in journals such as Journal of the American Statistical Association, Journal of the Royal Statistical Society Series C (Applied Statistics), Electoral Studies, Technometrics and Journal of Econometrics.

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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