Kevin Leyton‐Brown

17.7k citations
124 papers · 6.9k indexed · 6 hit papers · h-index 32
Topics
Auction Theory and Applications (46 papers)Game Theory and Applications (32 papers)Consumer Market Behavior and Pricing (24 papers)

In The Last Decade

Kevin Leyton‐Brown

120 papers receiving 6.5k citations

Hit Papers

Multiagent systems: algorithmic, game-theoretic, and logi...200820262014202020092013200820092008250500750

Peers

Kevin Leyton‐Brown
Comparison fields: 5 of 168
  • Artificial Intelligence 3.1k
  • Management Science and Operations Research 2.2k
  • Computer Networks and Communications 1.7k
  • Computational Theory and Mathematics 936
  • Economics and Econometrics 696
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Citations per field
00.5×1.5×1.9×
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Citations per year

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).

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.

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

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Leyton‐Brown. A scholar is included among the top collaborators of Kevin Leyton‐Brown based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kevin Leyton‐Brown. Kevin Leyton‐Brown is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2
ImpatientCapsAndRuns: Approximately Optimal Algorithm Configuration from an Infinite Pool
0
3 20
4
Bias in algorithm portfolio performance evaluation
2
5 11
6
Evaluating, Understanding, and Improving Behavioral Game Theory Models For Predicting Human Behavior in Unrepeated Normal-Form Games
1
7 24
8
Algorithm Runtime Prediction: The State of the Art
9
9
Auto-WEKA: Automated Selection and Hyper-Parameter Optimization of Classification Algorithms
29
10
Proceedings of the 13th ACM Conference on Electronic Commerce
16
11
Bayesian Action-Graph Games
9
12 4
13
Revenue monotonicity in combinatorial auctions
21
14
A polynomial-time algorithm for action-graph games
13
15
Performance prediction and automated tuning of randomized and parametric algorithms
17
16 39
17 89
18
A portfolio approach to algorithm select
67
19
An Algorithm for Multi-Unit Combinatorial Auctions
85
20
Taming the Computational Complexity of Combinatorial Auctions: Optimal and Approximate Approaches
284

About Kevin Leyton‐Brown

Kevin Leyton‐Brown is a scholar working on Management Science and Operations Research, General Decision Sciences and Marketing, having authored 124 papers that have together received 6.9k indexed citations. Recurring topics across this work include Auction Theory and Applications (46 papers), Game Theory and Applications (32 papers) and Consumer Market Behavior and Pricing (24 papers). The work is most often cited by research in Management Science and Operations Research (2.2k citations), Artificial Intelligence (3.1k citations) and Computer Networks and Communications (1.7k citations). Kevin Leyton‐Brown has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Yoav Shoham, Holger H. Hoos, Frank Hutter, Chris Thornton, Ilya Mironov, Philippe Golle, Lizhong Xu, Lin Xu, James R. Wright and Albert Xin Jiang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Management Science and Communications of the ACM.

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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