John Lafferty

129 papers and 16.9k indexed citations i.

John Lafferty has authored 129 papers that have received a total of 16.9k indexed citations. This includes 71 papers in Artificial Intelligence, 31 papers in Statistics and Probability and 19 papers in Genetics. The topics of these papers are Statistical Methods and Inference (29 papers), Hemoglobinopathies and Related Disorders (19 papers) and Bayesian Methods and Mixture Models (18 papers). John Lafferty is often cited by papers focused on Statistical Methods and Inference (29 papers), Hemoglobinopathies and Related Disorders (19 papers) and Bayesian Methods and Mixture Models (18 papers) and collaborates with scholars based in United States, Canada and United Kingdom. John Lafferty's co-authors include Larry Wasserman, David H.K. Chui, Adam Berger, ChengXiang Zhai and John S. Waye and has published in prestigious journals such as Proceedings of the National Academy of Sciences, IEEE Transactions on Pattern Analysis and Machine Intelligence and Trends in Cognitive Sciences.