Michael I. Jordan
About
Michael I. Jordan has authored 472 papers that have received a total of 71.8k indexed citations.
This includes 301 papers in Artificial Intelligence, 104 papers in Statistics and Probability and 59 papers in Molecular Biology. The topics of these papers are Bayesian Methods and Mixture Models (81 papers), Machine Learning and Algorithms (68 papers) and Statistical Methods and Inference (64 papers). Michael I. Jordan is often cited by papers focused on Bayesian Methods and Mixture Models (81 papers), Machine Learning and Algorithms (68 papers) and Statistical Methods and Inference (64 papers) and collaborates with scholars based in United States, China and United Kingdom. Michael I. Jordan's co-authors include Martin J. Wainwright, Chi Jin, David M. Blei, Robert A. Jacobs and John C. Duchi and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.
In The Last Decade
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