Kevin Leyton‐Brown

96 papers and 3.9k indexed citations i.

About

Kevin Leyton‐Brown is a scholar working on Management Science and Operations Research, Artificial Intelligence and Economics and Econometrics. According to data from OpenAlex, Kevin Leyton‐Brown has authored 96 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Management Science and Operations Research, 36 papers in Artificial Intelligence and 27 papers in Economics and Econometrics. Recurrent topics in Kevin Leyton‐Brown’s work include Auction Theory and Applications (36 papers), Game Theory and Applications (27 papers) and Consumer Market Behavior and Pricing (17 papers). Kevin Leyton‐Brown is often cited by papers focused on Auction Theory and Applications (36 papers), Game Theory and Applications (27 papers) and Consumer Market Behavior and Pricing (17 papers). Kevin Leyton‐Brown collaborates with scholars based in Canada, United States and Germany. Kevin Leyton‐Brown's co-authors include Yoav Shoham, Holger H. Hoos, Frank Hutter, Lin Xu, Lizhong Xu, James R. Wright, Albert Xin Jiang, Mark Pearson, Eugene Nudelman and Moshe Tennenholtz and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Management Science and Communications of the ACM.

In The Last Decade

Co-authorship network of co-authors of Kevin Leyton‐Brown i

Fields of papers citing papers by Kevin Leyton‐Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin Leyton‐Brown. 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 Kevin Leyton‐Brown. The network helps show where Kevin Leyton‐Brown may publish in the future.

Countries citing papers authored by Kevin Leyton‐Brown

Since Specialization
Citations

This map shows the geographic impact of Kevin Leyton‐Brown'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 Kevin Leyton‐Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin Leyton‐Brown 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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