Daniel M. Reeves
Impact in
-
- Auction Theory and Applications
- Game Theory and Applications
- General Decision Sciences top 10%
Papers in
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- Auction Theory and Applications 22
- Game Theory and Applications 10
- Marketing 12
- Consumer Market Behavior and Pricing 12
- Co-authors
- Michael P. Wellman (17 shared papers)Jeffrey K. MacKie–Mason (5 shared papers)David M. Pennock (7 shared papers)Yevgeniy Vorobeychik (5 shared papers)Shih-Fen Cheng (3 shared papers)Sowmya Swaminathan (1 shared paper)Benjamin N. Grosof (3 shared papers)Sharad Goel (3 shared papers)
- Journals
- Algorithmica (1 paper)Decision Support Systems (1 paper)Journal of Economic Theory (1 paper)Autonomous Agents and Multi-Agent Systems (1 paper)Computational Intelligence (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Daniel M. Reeves
25 papers receiving 574 citations
Peers
Comparison fields: 5 of 59
- Management Science and Operations Research 375
- General Decision Sciences 26
- Marketing 122
- Safety Research 85
- Economics and Econometrics 223
Countries citing papers authored by Daniel M. Reeves
This map shows the geographic impact of Daniel M. Reeves'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 Daniel M. Reeves with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel M. Reeves more than expected).
Fields of papers citing papers by Daniel M. Reeves
This network shows the impact of papers produced by Daniel M. Reeves. 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 Daniel M. Reeves. The network helps show where Daniel M. Reeves may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel M. Reeves, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 86 | |
| 2 | Notes on Equilibria in Symmetric Games | 2004 | 82 |
| 3 | 2004 | 51 | |
| 4 | 2009 | 50 | |
| 5 | 2010 | 36 | |
| 6 | 2004 | 35 | |
| 7 | 2010 | 30 | |
| 8 | Approximate strategic reasoning through hierarchical reduction of large symmetric games | 2005 | 29 |
| 9 | Price Prediction Strategies for Market-Based Scheduling | 2004 | 26 |
| 10 | Toward a Declarative Language for Negotiating Executable Contracts | 2003 | 24 |
| 11 | 2002 | 22 | |
| 12 | 2009 | 20 | |
| 13 | 2013 | 17 | |
| 14 | Generating trading agent strategies: Analytic and empirical methods for infinite and large games. | 2005 | 17 |
| 15 | 2001 | 17 | |
| 16 | 2008 | 16 | |
| 17 | 2014 | 15 | |
| 18 | 2005 | 11 | |
| 19 | 2003 | 9 | |
| 20 | Empirical Game-Theoretic Analysis of the TAC Market Games | 2006 | 9 |
About Daniel M. Reeves
Daniel M. Reeves is a scholar working on Management Science and Operations Research, Marketing, Economics and Econometrics, Safety Research and Artificial Intelligence, having authored 27 papers that have together received 618 indexed citations. Recurring topics across this work include Auction Theory and Applications (22 papers), Consumer Market Behavior and Pricing (12 papers), Game Theory and Applications (10 papers), Sports Analytics and Performance (6 papers), Experimental Behavioral Economics Studies (5 papers), Game Theory and Voting Systems (5 papers), Multi-Agent Systems and Negotiation (3 papers) and Financial Markets and Investment Strategies (2 papers). The work is most often cited by research in Management Science and Operations Research (375 citations), General Decision Sciences (26 citations), Marketing (122 citations), Safety Research (85 citations) and Economics and Econometrics (223 citations). Daniel M. Reeves has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Michael P. Wellman, Jeffrey K. MacKie–Mason, David M. Pennock, Yevgeniy Vorobeychik, Shih-Fen Cheng, Sowmya Swaminathan, Benjamin N. Grosof, Sharad Goel, Abraham Othman and Tüomas Sandholm. Their work appears in journals such as Algorithmica, Decision Support Systems, Journal of Economic Theory, Autonomous Agents and Multi-Agent Systems and Computational Intelligence.
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.