David Stadelmann

2.0k citations
104 papers · 928 · h-index 18

Impact in

Papers in

David Stadelmann

95 papers receiving 880 citations

Peers

David Stadelmann
Comparison fields: 5 of 98
  • Economics and Econometrics 409
  • Modeling and Simulation 65
  • Political Science and International Relations 305
  • Gender Studies 110
  • Health 52
Replace Julian Christensen with:
Julian Christensen Denmark
Mikal Skuterud Canada
Sher Verick Switzerland
Sebastian Siegloch Germany
Robert S. Goldfarb United States
Alex Waddan United Kingdom
Joonmo Cho South Korea
Brian L. Levy United States
Morgan Kelly United Kingdom
Raymundo M. Campos-Vázquez Mexico
David Stadelmann relative to Julian Christensen Denmark Julian Christensen's profile →
Citations per field
00.5×5×10×15×20×23×
Julian Christensen · 1×
Citations per year

Countries citing papers authored by David Stadelmann

Since Specialization
Citations

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

Fields of papers citing papers by David Stadelmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 104 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202099
2 201860
3 201143
4 201940
5 202139
6 201038
7 202034
8 201234
9 201933
10 201332
11 201525
12 201924
13 201424
14 201121
15 202119
16 201118
17 201318
18 201017
19 201615
20 201814

About David Stadelmann

David Stadelmann is a scholar working on Economics and Econometrics, Political Science and International Relations, Sociology and Political Science, Gender Studies and Safety Research, having authored 104 papers that have together received 928 indexed citations. Recurring topics across this work include Electoral Systems and Political Participation (35 papers), Fiscal Policy and Economic Growth (23 papers), Fiscal Policies and Political Economy (17 papers), Game Theory and Voting Systems (12 papers), Housing Market and Economics (9 papers), Gender Politics and Representation (9 papers), Migration and Labor Dynamics (9 papers) and Local Government Finance and Decentralization (8 papers). The work is most often cited by research in Economics and Econometrics (409 citations), Modeling and Simulation (65 citations), Political Science and International Relations (305 citations), Gender Studies (110 citations) and Health (52 citations). David Stadelmann has collaborated with scholars based in Germany, Switzerland and Australia. Frequent co-authors include Reiner Eichenberger, Marco Portmann, Benno Torgler, Michael Jetter, Volker Grossmann, Ho Fai Chan, Ahmed Skali, David A. Savage, Raymond Boadi Frempong and Alison Macintyre. Their work appears in journals such as Economics Letters, Journal of Comparative Economics, Public Choice, Economics and Politics and European Journal of Political Economy.

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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