Padhraic Smyth
About
Padhraic Smyth has authored 207 papers that have received a total of 11.8k indexed citations.
This includes 131 papers in Artificial Intelligence, 25 papers in Computer Vision and Pattern Recognition and 25 papers in Global and Planetary Change. The topics of these papers are Bayesian Methods and Mixture Models (32 papers), Bayesian Modeling and Causal Inference (20 papers) and Topic Modeling (18 papers). Padhraic Smyth is often cited by papers focused on Bayesian Methods and Mixture Models (32 papers), Bayesian Modeling and Causal Inference (20 papers) and Topic Modeling (18 papers) and collaborates with scholars based in United States, Germany and The Netherlands. Padhraic Smyth's co-authors include Andrew W. Robertson, Arthur Asuncion, Alexander Ihler, Mark Steyvers and R.M. Goodman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Geophysical Research Atmospheres
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