David Hagmann
Impact in
- General Decision Sciences top 2%
- Decision-Making and Behavioral Economics
- Applied Psychology top 5%
- Behavioral Health and Interventions
Papers in
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- Decision-Making and Behavioral Economics 5
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- Game Theory and Applications 2
- Co-authors
- George F. Loewenstein (8 shared papers)Russell Golman (2 shared papers)Emily Ho (2 shared papers)Cindy L. Bryce (2 shared papers)Catherine H. Tinsley (1 shared paper)Julia Alexandra Minson (1 shared paper)John H. Miller (1 shared paper)Jonathan Kolstad (2 shared papers)
- Journals
- Behavioral Science & Policy (4 papers)Journal of Economic Literature (1 paper)Journal of Behavioral Decision Making (1 paper)Science Advances (1 paper)Journal of Applied Psychology (1 paper)
- Partner nations
- United StatesHong KongUnited Kingdom
In The Last Decade
David Hagmann
12 papers receiving 804 citations
David Hagmann's Hit Papers
Peers
Comparison fields: 5 of 112
- General Decision Sciences 165
- Applied Psychology 111
- Safety Research 124
- Management, Monitoring, Policy and Law 124
- Economics and Econometrics 184
Countries citing papers authored by David Hagmann
This map shows the geographic impact of David Hagmann'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 Hagmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Hagmann more than expected).
Fields of papers citing papers by David Hagmann
This network shows the impact of papers produced by David Hagmann. 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 Hagmann. The network helps show where David Hagmann may publish in the future.
Co-authors
The 25 scholars most cited alongside David Hagmann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Information Avoidance Hit paper breakdown → | 2017 | 442 |
| 2 | 2019 | 189 | |
| 3 | 2015 | 108 | |
| 4 | 2020 | 45 | |
| 5 | 2015 | 41 | |
| 6 | 2017 | 13 | |
| 7 | 2015 | 7 | |
| 8 | 2024 | 6 | |
| 9 | 2017 | 2 | |
| 10 | 2022 | 1 | |
| 11 | 2013 | 1 | |
| 12 | 2021 | 1 |
About David Hagmann
David Hagmann is a scholar working on General Decision Sciences, Management Science and Operations Research, Applied Psychology, General Health Professions and Safety Research, having authored 12 papers that have together received 856 indexed citations. Recurring topics across this work include Decision-Making and Behavioral Economics (5 papers), Psychology of Social Influence (2 papers), Behavioral Health and Interventions (2 papers), Mobile Health and mHealth Applications (2 papers), Opinion Dynamics and Social Influence (2 papers), Game Theory and Applications (2 papers), Evolutionary Game Theory and Cooperation (2 papers) and Experimental Behavioral Economics Studies (2 papers). The work is most often cited by research in General Decision Sciences (165 citations), Applied Psychology (111 citations), Safety Research (124 citations), Management, Monitoring, Policy and Law (124 citations) and Economics and Econometrics (184 citations). David Hagmann has collaborated with scholars based in United States, Hong Kong and United Kingdom. Frequent co-authors include George F. Loewenstein, Russell Golman, Emily Ho, Cindy L. Bryce, Catherine H. Tinsley, Julia Alexandra Minson, John H. Miller, Jonathan Kolstad, Jonathan Skinner and Peter Anthony Ubel. Their work appears in journals such as Behavioral Science & Policy, Journal of Economic Literature, Journal of Behavioral Decision Making, Science Advances and Journal of Applied Psychology.
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.