Michael P. Wellman
About
Michael P. Wellman has authored 159 papers that have received a total of 4.2k indexed citations.
This includes 101 papers in Management Science and Operations Research, 58 papers in Artificial Intelligence and 41 papers in Economics and Econometrics. The topics of these papers are Auction Theory and Applications (73 papers), Game Theory and Applications (49 papers) and Bayesian Modeling and Causal Inference (30 papers). Michael P. Wellman is often cited by papers focused on Auction Theory and Applications (73 papers), Game Theory and Applications (49 papers) and Bayesian Modeling and Causal Inference (30 papers) and collaborates with scholars based in United States, United Kingdom and Singapore. Michael P. Wellman's co-authors include Peter R. Wurman, Daniel M. Reeves, Jeffrey K. MacKie–Mason, William E. Walsh and Yevgeniy Vorobeychik and has published in prestigious journals such as Science, IEEE Transactions on Pattern Analysis and Machine Intelligence and Communications of the ACM.
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