Daniel Diermeier

6.3k citations
136 papers · 4.0k · h-index 32

Impact in

Papers in

Daniel Diermeier

130 papers receiving 3.7k citations

Peers

Daniel Diermeier
Comparison fields: 5 of 125
  • Political Science and International Relations 1.8k
  • Strategy and Management 877
  • Economics and Econometrics 1.4k
  • Safety Research 357
  • General Social Sciences 114
Replace R. Michael Alvarez with:
R. Michael Alvarez United States
John F. Padgett United States
Fabrizio Gilardi Switzerland
Robin Mansell United Kingdom
Helen Margetts United Kingdom
Slava Mikhaylov United Kingdom
David D. Dill United States
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Citations per field
00.5×2.7×
R. Michael Alvarez · 1×
Citations per year

Countries citing papers authored by Daniel Diermeier

Since Specialization
Citations

This map shows the geographic impact of Daniel 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 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 Diermeier more than expected).

Fields of papers citing papers by Daniel Diermeier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 136 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998332
2 2007299
3 2015247
4 2001191
5 1999185
6 1999155
7 2000137
8 2003128
9 2003112
10 2011110
11 2008103
12 201196
13 200394
14 201191
15 200090
16 201176
17 199869
18 201168
19 201468
20 200266

About Daniel Diermeier

Daniel Diermeier is a scholar working on Economics and Econometrics, Political Science and International Relations, Sociology and Political Science, Safety Research and Artificial Intelligence, having authored 136 papers that have together received 4.0k indexed citations. Recurring topics across this work include Electoral Systems and Political Participation (39 papers), Game Theory and Voting Systems (26 papers), Experimental Behavioral Economics Studies (18 papers), Fiscal Policies and Political Economy (17 papers), Fiscal Policy and Economic Growth (16 papers), Political Influence and Corporate Strategies (10 papers), Opinion Dynamics and Social Influence (10 papers) and Game Theory and Applications (9 papers). The work is most often cited by research in Political Science and International Relations (1.8k citations), Strategy and Management (877 citations), Economics and Econometrics (1.4k citations), Safety Research (357 citations) and General Social Sciences (114 citations). Daniel Diermeier has collaborated with scholars based in United States, Canada and France. Frequent co-authors include David P. Baron, Antonio Merlo, Timothy Feddersen, Eric Luis Uhlmann, Roger B. Myerson, David A. Pizarro, Stefan Kaufmann, Randy Stevenson, Bei Yu and Hülya Eraslan. Their work appears in journals such as American Political Science Review, Social Choice and Welfare, PLoS ONE, American Journal of Political Science 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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