John Paisley
About
John Paisley has authored 91 papers that have received a total of 4.6k indexed citations.
This includes 39 papers in Artificial Intelligence, 19 papers in Computer Vision and Pattern Recognition and 16 papers in Computational Mechanics. The topics of these papers are Bayesian Methods and Mixture Models (22 papers), Sparse and Compressive Sensing Techniques (16 papers) and Statistical Methods and Inference (13 papers). John Paisley is often cited by papers focused on Bayesian Methods and Mixture Models (22 papers), Sparse and Compressive Sensing Techniques (16 papers) and Statistical Methods and Inference (13 papers) and collaborates with scholars based in United States, China and Germany. John Paisley's co-authors include Xinghao Ding, Yue Huang, Lawrence Carin, David M. Blei and Xueyang Fu and has published in prestigious journals such as JAMA, IEEE Transactions on Pattern Analysis and Machine Intelligence and Journal of Clinical Microbiology
In The Last Decade
Explore authors with similar magnitude of impact
Top authors papers by Lucy R. Forrest are co-authored with Top fields papers by Michael B. Jones are about Top journals papers by Sung-Chul Yoon are published in Top countries impacted by papers by Joseph E. Powell Top journals papers by J. H. Weiner are published in Top authors papers by P.B.M.W.M. Timmermans are co-authored with Top fields papers by Alexander S. Kauffman are about Top fields papers by Holger Borchert are about