Daniel Reeves
Impact in
- Marketing top 5%
- Consumer Market Behavior and Pricing
-
- Auction Theory and Applications
- Game Theory and Applications
Papers in
-
- Auction Theory and Applications 5
- Game Theory and Applications 2
-
- Consumer Market Behavior and Pricing 4
- Co-authors
- David Lucking‐Reiley (1 shared paper)Jané Kondev (3 shared papers)Daniel H. Rothman (1 shared paper)Tristan Ursell (1 shared paper)Rob Phillips (1 shared paper)Pierre Sens (1 shared paper)Larry J. Friedman (1 shared paper)Jeff Gelles (1 shared paper)
- Journals
- Journal of Industrial Economics (1 paper)Nature Communications (1 paper)Global Biogeochemical Cycles (1 paper)The B E Journal of Theoretical Economics (1 paper)Journal of neurosurgery (1 paper)
- Partner nations
- United StatesCzechiaFrance
In The Last Decade
Daniel Reeves
13 papers receiving 501 citations
Peers
Comparison fields: 5 of 99
- Marketing 241
- Management Science and Operations Research 276
- Safety Research 75
- Management Information Systems 53
- Strategy and Management 80
Countries citing papers authored by Daniel Reeves
This map shows the geographic impact of Daniel 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 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 Reeves more than expected).
Fields of papers citing papers by Daniel Reeves
This network shows the impact of papers produced by Daniel 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 Reeves. The network helps show where Daniel Reeves may publish in the future.
Co-authors
The 22 scholars most cited alongside Daniel 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
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 337 | |
| 2 | 2008 | 45 | |
| 3 | 2014 | 37 | |
| 4 | 2013 | 30 | |
| 5 | 2008 | 24 | |
| 6 | 2008 | 16 | |
| 7 | 2011 | 14 | |
| 8 | 1990 | 11 | |
| 9 | Yoopick: a combinatorial sports prediction market | 2008 | 10 |
| 10 | 1999 | 8 | |
| 11 | 2011 | 1 | |
| 12 | 2011 | 1 | |
| 13 | 2002 | 1 |
About Daniel Reeves
Daniel Reeves is a scholar working on Management Science and Operations Research, Marketing, Molecular Biology, Economics and Econometrics and Artificial Intelligence, having authored 13 papers that have together received 535 indexed citations. Recurring topics across this work include Auction Theory and Applications (5 papers), Consumer Market Behavior and Pricing (4 papers), Experimental Behavioral Economics Studies (2 papers), Game Theory and Applications (2 papers), Diffusion and Search Dynamics (2 papers), Sports Analytics and Performance (2 papers), Artificial Intelligence in Games (1 paper) and Ion channel regulation and function (1 paper). The work is most often cited by research in Marketing (241 citations), Management Science and Operations Research (276 citations), Safety Research (75 citations), Management Information Systems (53 citations) and Strategy and Management (80 citations). Daniel Reeves has collaborated with scholars based in United States, Czechia and France. Frequent co-authors include David Lucking‐Reiley, Jané Kondev, Daniel H. Rothman, Tristan Ursell, Rob Phillips, Pierre Sens, Larry J. Friedman, Jeff Gelles, Thayaparan Paramanathan and Michael P. Wellman. Their work appears in journals such as Journal of Industrial Economics, Nature Communications, Global Biogeochemical Cycles, The B E Journal of Theoretical Economics and Journal of neurosurgery.
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.