David S. Ahn
Impact in
- General Decision Sciences top 1%
- Decision-Making and Behavioral Economics
- Safety Research top 5%
- Experimental Behavioral Economics Studies
Papers in
-
- Economic and Environmental Valuation 6
- Game Theory and Voting Systems 3
-
- Decision-Making and Behavioral Economics 9
- Co-authors
- Shachar Kariv (1 shared paper)Syngjoo Choi (1 shared paper)Douglas Gale (1 shared paper)Todd Sarver (7 shared papers)Haluk Ergin (1 shared paper)Santiago Oliveros (2 shared papers)M.J. Lee (1 shared paper)Ryota Iijima (6 shared papers)
- Journals
- Journal of Economic Theory (4 papers)Econometrica (2 papers)The Review of Economic Studies (2 papers)Quantitative Economics (1 paper)Theoretical Economics (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
David S. Ahn
18 papers receiving 433 citations
Peers
Comparison fields: 5 of 60
- General Decision Sciences 267
- Safety Research 123
- Management Science and Operations Research 151
- Economics and Econometrics 273
- Finance 56
Countries citing papers authored by David S. Ahn
This map shows the geographic impact of David S. Ahn'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 S. Ahn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David S. Ahn more than expected).
Fields of papers citing papers by David S. Ahn
This network shows the impact of papers produced by David S. Ahn. 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 S. Ahn. The network helps show where David S. Ahn may publish in the future.
Co-authors
The 11 scholars most cited alongside David S. Ahn, 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 | 2014 | 177 | |
| 2 | 2008 | 80 | |
| 3 | 2013 | 56 | |
| 4 | 2010 | 46 | |
| 5 | 2006 | 32 | |
| 6 | 1995 | 13 | |
| 7 | 2013 | 11 | |
| 8 | 2016 | 10 | |
| 9 | 2020 | 8 | |
| 10 | 2019 | 4 | |
| 11 | 2018 | 4 | |
| 12 | 2018 | 3 | |
| 13 | 2018 | 2 | |
| 14 | 2002 | 2 | |
| 15 | 1997 | 1 | |
| 16 | 2018 | 1 | |
| 17 | 2017 | 1 | |
| 18 | 1996 | 1 |
About David S. Ahn
David S. Ahn is a scholar working on Economics and Econometrics, General Decision Sciences, Safety Research, Computer Networks and Communications and Management Science and Operations Research, having authored 18 papers that have together received 452 indexed citations. Recurring topics across this work include Decision-Making and Behavioral Economics (9 papers), Experimental Behavioral Economics Studies (6 papers), Economic and Environmental Valuation (6 papers), Interconnection Networks and Systems (4 papers), Game Theory and Voting Systems (3 papers), Bayesian Modeling and Causal Inference (2 papers), Game Theory and Applications (2 papers) and Mathematical and Theoretical Analysis (2 papers). The work is most often cited by research in General Decision Sciences (267 citations), Safety Research (123 citations), Management Science and Operations Research (151 citations), Economics and Econometrics (273 citations) and Finance (56 citations). David S. Ahn has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Shachar Kariv, Syngjoo Choi, Douglas Gale, Todd Sarver, Haluk Ergin, Santiago Oliveros, M.J. Lee, Ryota Iijima, Federico Echenique and Kota Saito. Their work appears in journals such as Journal of Economic Theory, Econometrica, The Review of Economic Studies, Quantitative Economics and Theoretical 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.