Michael I. Jordan

470 papers and 71.5k indexed citations i.

Michael I. Jordan has authored 470 papers that have received a total of 71.5k indexed citations. This includes 300 papers in Artificial Intelligence, 103 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, John C. Duchi and Tommi Jaakkola and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences