Daniel M. Reeves

19 papers and 342 indexed citations i.

About

Daniel M. Reeves is a scholar working on Management Science and Operations Research, Marketing and Economics and Econometrics. According to data from OpenAlex, Daniel M. Reeves has authored 19 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Management Science and Operations Research, 9 papers in Marketing and 8 papers in Economics and Econometrics. Recurrent topics in Daniel M. Reeves’s work include Auction Theory and Applications (17 papers), Consumer Market Behavior and Pricing (9 papers) and Game Theory and Applications (8 papers). Daniel M. Reeves is often cited by papers focused on Auction Theory and Applications (17 papers), Consumer Market Behavior and Pricing (9 papers) and Game Theory and Applications (8 papers). Daniel M. Reeves collaborates with scholars based in United States and United Kingdom. Daniel M. Reeves's co-authors include Michael P. Wellman, Jeffrey K. MacKie–Mason, Sowmya Swaminathan, David M. Pennock, Tüomas Sandholm, Abraham Othman, Yevgeniy Vorobeychik, Benjamin N. Grosof, Yiling Chen and Shih-Fen Cheng and has published in prestigious journals such as Journal of Economic Theory, Decision Support Systems and Algorithmica.

In The Last Decade

Co-authorship network of co-authors of Daniel M. Reeves i

Fields of papers citing papers by Daniel M. Reeves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Daniel M. Reeves

Since Specialization
Citations

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).

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.

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