Daniel Schunk

69 papers receiving 1.8k citations

Peers

Daniel Schunk
Comparison fields: 5 of 140
  • General Decision Sciences 355
  • Safety Research 529
  • Accounting 247
  • Demography 249
  • Economics and Econometrics 471
Replace Robert Slonim with:
Robert Slonim Australia
Daniel L. Chen France
Paul J. Healy United States
Cary Deck United States
Michael Kirchler Austria
Stefan Palan Austria
Johan Almenberg Sweden
Martin Strobel Netherlands
Leeat Yariv United States
Michael Kuhn United States
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Citations per year

Countries citing papers authored by Daniel Schunk

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Schunk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012212
2 2010165
3 2009149
4 2008107
5 2004100
6 200575
7 201864
8
The German SAVE study : design and results
200859
9 201558
10 201356
11
Relevance determination in learning vector quantization
200155
12 200854
13 200953
14 201647
15 200939
16 200037
17 200836
18 200936
19 201233
20 201227

About Daniel Schunk

Daniel Schunk is a scholar working on Safety Research, General Decision Sciences, Economics and Econometrics, Sociology and Political Science and Management Science and Operations Research, having authored 75 papers that have together received 1.9k indexed citations. Recurring topics across this work include Experimental Behavioral Economics Studies (26 papers), Decision-Making and Behavioral Economics (20 papers), Economic and Environmental Valuation (8 papers), Psychology of Moral and Emotional Judgment (6 papers), Retirement, Disability, and Employment (6 papers), Early Childhood Education and Development (5 papers), Global Health Care Issues (5 papers) and Cognitive Abilities and Testing (5 papers). The work is most often cited by research in General Decision Sciences (355 citations), Safety Research (529 citations), Accounting (247 citations), Demography (249 citations) and Economics and Econometrics (471 citations). Daniel Schunk has collaborated with scholars based in Germany, Switzerland and United Kingdom. Frequent co-authors include Ernst Fehr, Joachim Winter, Daniel Houser, Adrian Bruhin, Björn Bartling, Brian Deal, Yosuke Morishima, Christian C. Ruff, Michel André Maréchal and Cornelia Betsch. Their work appears in journals such as Journal of Economic Behavior & Organization, Experimental Economics, Journal of Economic Psychology, Scientific Reports and Journal of Behavioral and Experimental Economics.

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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