Daniel A. Diermeier

102 papers receiving 3.8k citations

Peers

Daniel A. Diermeier
Comparison fields: 5 of 102
  • Political Science and International Relations 1.5k
  • Economics and Econometrics 1.2k
  • General Social Sciences 159
  • Strategy and Management 383
  • Cognitive Neuroscience 308
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Peter Hedström Sweden
R. Michael Alvarez United States
Daniel J. Hopkins United States
Martin Hollis United Kingdom
Raymond Boudon France
Fabrizio Gilardi Switzerland
Keith T. Poole United States
Jonathan Bendor United States
F.A. Hayek United Kingdom
Marco Robert Steenbergen Switzerland
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Citations per year

Countries citing papers authored by Daniel A. Diermeier

Since Specialization
Citations

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

Fields of papers citing papers by Daniel A. Diermeier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel A. Diermeier. 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 Daniel A. Diermeier. The network helps show where Daniel A. Diermeier may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 106 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998289
2 2007259
3 2015258
4 2005245
5 2008183
6 2001162
7 1999144
8 1999139
9 2003133
10 2000115
11 2011108
12 2008107
13 2003104
14 2003104
15 2011102
16 200084
17 200381
18 201181
19 201674
20 201173

About Daniel A. Diermeier

Daniel A. Diermeier is a scholar working on Economics and Econometrics, Political Science and International Relations, General Social Sciences, Communication and Strategy and Management, having authored 106 papers that have together received 4.1k indexed citations. Recurring topics across this work include Game Theory and Voting Systems (39 papers), Electoral Systems and Political Participation (21 papers), Public Relations and Crisis Communication (9 papers), Computational and Text Analysis Methods (8 papers), Corporate Social Responsibility Reporting (5 papers), Psychology of Moral and Emotional Judgment (5 papers), Political Influence and Corporate Strategies (5 papers) and Corporate Identity and Reputation (5 papers). The work is most often cited by research in Political Science and International Relations (1.5k citations), Economics and Econometrics (1.2k citations), General Social Sciences (159 citations), Strategy and Management (383 citations) and Cognitive Neuroscience (308 citations). Daniel A. Diermeier has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Antonio M. Merlo, David P. Baron, Timothy J. Feddersen, Eric Luis Uhlmann, David Alexander Pizarro, Michael P. Keane, Stefan Kaufmann, Bei Yu, Michael M. Ting and Jonathan Bendor. Their work appears in journals such as American Political Science Review, American Journal of Political Science, PLoS ONE, Social Choice and Welfare and British Journal of Political Science.

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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