David Hagmann
Impact in
- General Decision Sciences top 2%
- Decision-Making and Behavioral Economics
- Applied Psychology top 5%
- Behavioral Health and Interventions
Papers in
-
- Decision-Making and Behavioral Economics 8
- Co-authors
- George Loewenstein (13 shared papers)Russell Golman (3 shared papers)Emily Ho (3 shared papers)Cindy L. Bryce (3 shared papers)Nick Chater (1 shared paper)John H. Miller (1 shared paper)Saurabh Bhargava (2 shared papers)Keith M. Marzilli Ericson (2 shared papers)
- Journals
- Behavioral Science & Policy (4 papers)Computational Economics (1 paper)Nature Climate Change (1 paper)Management Science (1 paper)Journal of Economic Literature (1 paper)
- Partner nations
- United StatesHong KongUnited Kingdom
In The Last Decade
David Hagmann
16 papers receiving 846 citations
David Hagmann's Hit Papers
Peers
Comparison fields: 5 of 114
- General Decision Sciences 180
- Applied Psychology 126
- Safety Research 140
- Management, Monitoring, Policy and Law 135
- Economics and Econometrics 221
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 22 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 | 451 |
| 2 | 2019 | 186 | |
| 3 | 2015 | 109 | |
| 4 | 2020 | 41 | |
| 5 | 2015 | 41 | |
| 6 | 2017 | 13 | |
| 7 | 2015 | 10 | |
| 8 | 2014 | 8 | |
| 9 | 2023 | 7 | |
| 10 | 2015 | 5 | |
| 11 | 2024 | 4 | |
| 12 | 2018 | 3 | |
| 13 | 2022 | 1 | |
| 14 | 2013 | 1 | |
| 15 | 2017 | 1 | |
| 16 | 2021 | 1 |
About David Hagmann
David Hagmann is a scholar working on General Decision Sciences, Sociology and Political Science, General Health Professions, Statistical and Nonlinear Physics and Management Science and Operations Research, having authored 16 papers that have together received 882 indexed citations. Recurring topics across this work include Decision-Making and Behavioral Economics (8 papers), Opinion Dynamics and Social Influence (4 papers), Mobile Health and mHealth Applications (2 papers), Patient-Provider Communication in Healthcare (2 papers), Experimental Behavioral Economics Studies (2 papers), Healthcare Policy and Management (2 papers), Behavioral Health and Interventions (2 papers) and Game Theory and Applications (2 papers). The work is most often cited by research in General Decision Sciences (180 citations), Applied Psychology (126 citations), Safety Research (140 citations), Management, Monitoring, Policy and Law (135 citations) and Economics and Econometrics (221 citations). David Hagmann has collaborated with scholars based in United States, Hong Kong and United Kingdom. Frequent co-authors include George Loewenstein, Russell Golman, Emily Ho, Cindy L. Bryce, Nick Chater, John H. Miller, Saurabh Bhargava, Keith M. Marzilli Ericson, Judd B. Kessler and Victoria A. Shaffer. Their work appears in journals such as Behavioral Science & Policy, Computational Economics, Nature Climate Change, Management Science and Journal of Economic Literature.
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.