Jay I. Myung
About
Jay I. Myung has authored 35 papers that have received a total of 899 indexed citations.
This includes 17 papers in Artificial Intelligence, 12 papers in Management Science and Operations Research and 11 papers in Statistics and Probability. The topics of these papers are Advanced Multi-Objective Optimization Algorithms (10 papers), Optimal Experimental Design Methods (9 papers) and Bayesian Modeling and Causal Inference (6 papers). Jay I. Myung is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (10 papers), Optimal Experimental Design Methods (9 papers) and Bayesian Modeling and Causal Inference (6 papers) and collaborates with scholars based in United States, South Korea and Australia. Jay I. Myung's co-authors include Mark A. Pitt, Daniel R. Cavagnaro, Zhong‐Lin Lu, Woo‐Young Ahn and Yun Tang and has published in prestigious journals such as Psychological Review, Management Science and Scientific Reports
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