Daniel Wiesen

1.3k citations
37 papers · 769 indexed · h-index 14

Impact in

Papers in

Daniel Wiesen

34 papers receiving 742 citations

Peers

Daniel Wiesen
Comparison fields: 5 of 70
  • General Decision Sciences 200
  • Safety Research 207
  • Economics and Econometrics 588
  • General Health Professions 328
  • Pharmacy 39
Replace Nadja Kairies‐Schwarz with:
Nadja Kairies‐Schwarz Germany
Geir Godager Norway
Iris Kesternich Belgium
Paula González Spain
Nuno Sousa Pereira United States
Linda J. Blumberg United States
Jessica Van Parys United States
Gopi Shah Goda United States
Jacquelyn J. Jewett United States
Ildefonso Méndez Spain
Daniel Wiesen relative to Nadja Kairies‐Schwarz Germany Nadja Kairies‐Schwarz's profile →
Citations per field
00.5×2.8×
Nadja Kairies‐Schwarz · 1×
Citations per year

Countries citing papers authored by Daniel Wiesen

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Wiesen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011130
2 2013102
3 201591
4 201580
5 201474
6 200938
7 201823
8 201922
9 202220
10 202019
11
Provider altruism in health economics
201519
12 201319
13 201717
14 201314
15 201313
16 201912
17 20219
18 20248
19
Physician performance pay: Evidence from a laboratory experiment
20167
20 20117

About Daniel Wiesen

Daniel Wiesen is a scholar working on Economics and Econometrics, General Health Professions, Safety Research, General Decision Sciences and Sociology and Political Science, having authored 37 papers that have together received 769 indexed citations. Recurring topics across this work include Healthcare Policy and Management (24 papers), Experimental Behavioral Economics Studies (10 papers), Primary Care and Health Outcomes (8 papers), Patient Satisfaction in Healthcare (7 papers), Decision-Making and Behavioral Economics (5 papers), Economic and Environmental Valuation (4 papers), Gender, Labor, and Family Dynamics (4 papers) and Law, Economics, and Judicial Systems (3 papers). The work is most often cited by research in General Decision Sciences (200 citations), Safety Research (207 citations), Economics and Econometrics (588 citations), General Health Professions (328 citations) and Pharmacy (39 citations). Daniel Wiesen has collaborated with scholars based in Germany, Netherlands and Norway. Frequent co-authors include Heike Hennig‐Schmidt, Sebastian Ebert, Jeannette Brosig‐Koch, Nadja Kairies‐Schwarz, Geir Godager, Matteo M. Galizzi, Reinhard Selten, Hendrik Jürges, Christian Waibel and Ismo Linnosmaa. Their work appears in journals such as Health Economics, Journal of Health Economics, Management Science, Journal of Economic Behavior & Organization and Social Science & Medicine.

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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