In‐Koo Cho
Impact in
-
- Game Theory and Applications
- Auction Theory and Applications
- Safety Research top 0.5%
- Experimental Behavioral Economics Studies
Papers in
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- Economic theories and models 11
- Game Theory and Voting Systems 4
-
- Game Theory and Applications 9
- Auction Theory and Applications 5
- Co-authors
- David M. Kreps (1 shared paper)Kenneth Kasa (1 shared paper)James B. Bullard (2 shared papers)Thomas J. Sargent (2 shared papers)Sean Meyn (2 shared papers)Mike Y. Chen (1 shared paper)Akihiko Matsui (1 shared paper)
- Journals
- The Review of Economic Studies (3 papers)Economic Theory (2 papers)Econometrica (1 paper)The RAND Journal of Economics (1 paper)Automatica (1 paper)
- Partner nations
- United StatesSouth KoreaBrazil
In The Last Decade
In‐Koo Cho
15 papers receiving 2.2k citations
In‐Koo Cho's Hit Papers
Peers
Comparison fields: 5 of 90
- Management Science and Operations Research 1.2k
- Safety Research 520
- Economics and Econometrics 1.3k
- Finance 417
- Accounting 425
Countries citing papers authored by In‐Koo Cho
This map shows the geographic impact of In‐Koo Cho'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 In‐Koo Cho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites In‐Koo Cho more than expected).
Fields of papers citing papers by In‐Koo Cho
This network shows the impact of papers produced by In‐Koo Cho. 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 In‐Koo Cho. The network helps show where In‐Koo Cho may publish in the future.
Co-authors
The 7 scholars most cited alongside In‐Koo Cho, 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 | Signaling Games and Stable Equilibria Hit paper breakdown → | 1987 | 2119 |
| 2 | 1987 | 57 | |
| 3 | 1990 | 49 | |
| 4 | 1996 | 44 | |
| 5 | 2014 | 42 | |
| 6 | 2005 | 24 | |
| 7 | 2006 | 22 | |
| 8 | 2000 | 20 | |
| 9 | 1994 | 14 | |
| 10 | 1994 | 14 | |
| 11 | Self-confirming equilibrium | 2008 | 4 |
| 12 | 2007 | 3 | |
| 13 | 2003 | 3 | |
| 14 | 2003 | 3 | |
| 15 | 2025 | 2 | |
| 16 | 2018 | 1 |
About In‐Koo Cho
In‐Koo Cho is a scholar working on Economics and Econometrics, Management Science and Operations Research, General Economics, Econometrics and Finance, Artificial Intelligence and Management Information Systems, having authored 16 papers that have together received 2.4k indexed citations. Recurring topics across this work include Economic theories and models (11 papers), Game Theory and Applications (9 papers), Auction Theory and Applications (5 papers), Game Theory and Voting Systems (4 papers), Monetary Policy and Economic Impact (4 papers), Economic Theory and Policy (2 papers), Supply Chain and Inventory Management (1 paper) and Bayesian Modeling and Causal Inference (1 paper). The work is most often cited by research in Management Science and Operations Research (1.2k citations), Safety Research (520 citations), Economics and Econometrics (1.3k citations), Finance (417 citations) and Accounting (425 citations). In‐Koo Cho has collaborated with scholars based in United States, South Korea and Brazil. Frequent co-authors include David M. Kreps, Kenneth Kasa, James B. Bullard, Thomas J. Sargent, Sean Meyn, Mike Y. Chen and Akihiko Matsui. Their work appears in journals such as The Review of Economic Studies, Economic Theory, Econometrica, The RAND Journal of Economics and Automatica.
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.