David Dillenberger
- General Decision Sciences top 1%
- Economics and Econometrics top 5%
- Safety Research top 5%
- Management Science and Operations Research top 5%
- Finance
- Co-authors
- Pietro OrtolevaSimone Cerreia‐VioglioUzi SegalGil RiellaDaniel GottliebShiri Artstein-AvidanAndrew PostlewaiteR. Vijay Krishna
- Topics
- Decision-Making and Behavioral Economics (32 papers)Experimental Behavioral Economics Studies (15 papers)Economic and Environmental Valuation (11 papers)
- Partner nations
- United StatesItalyJapan
In The Last Decade
David Dillenberger
33 papers receiving 353 citations
Peers
Comparison fields: 5 of 44
- General Decision Sciences 259
- Economics and Econometrics 221
- Safety Research 127
- Management Science and Operations Research 118
- Finance 29
Countries citing papers authored by David Dillenberger
This map shows the geographic impact of David Dillenberger'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 Dillenberger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Dillenberger more than expected).
Fields of papers citing papers by David Dillenberger
This network shows the impact of papers produced by David Dillenberger. 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 Dillenberger. The network helps show where David Dillenberger may publish in the future.
Co-authorship network of co-authors of David Dillenberger
This figure shows the co-authorship network connecting the top 25 collaborators of David Dillenberger. A scholar is included among the top collaborators of David Dillenberger based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Dillenberger. David Dillenberger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 22 | |
| 4 | 44 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 9 | |
| 8 | 13 | |
| 9 | 2 | |
| 10 | 82 | |
| 11 | 0 | |
| 12 | 3 | |
| 13 | 5 | |
| 14 | 5 | |
| 15 | 44 | |
| 16 | 4 | |
| 17 | 1 | |
| 18 | Dynamic Disappointment Aversion | 11 |
| 19 | 4 | |
| 20 | 1 |
About David Dillenberger
David Dillenberger is a scholar working on General Decision Sciences, Safety Research and Economics and Econometrics, having authored 38 papers that have together received 368 indexed citations. Recurring topics across this work include Decision-Making and Behavioral Economics (32 papers), Experimental Behavioral Economics Studies (15 papers) and Economic and Environmental Valuation (11 papers). The work is most often cited by research in General Decision Sciences (259 citations), Safety Research (127 citations) and Management Science and Operations Research (118 citations). David Dillenberger has collaborated with scholars based in United States, Italy and Japan. Frequent co-authors include Pietro Ortoleva, Simone Cerreia‐Vioglio, Uzi Segal, Gil Riella, Daniel Gottlieb, Shiri Artstein-Avidan, Andrew Postlewaite, R. Vijay Krishna, Collin Raymond and Vijay Krishna. Their work appears in journals such as American Economic Review, Econometrica and Journal of Economic Theory.
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.