Daniel Commenges

176 papers and 7.4k indexed citations i.

Daniel Commenges has authored 176 papers that have received a total of 7.4k indexed citations. This includes 62 papers in Statistics and Probability, 38 papers in Artificial Intelligence and 19 papers in Virology. The topics of these papers are Statistical Methods and Inference (48 papers), Statistical Methods and Bayesian Inference (47 papers) and Bayesian Methods and Mixture Models (31 papers). Daniel Commenges is often cited by papers focused on Statistical Methods and Inference (48 papers), Statistical Methods and Bayesian Inference (47 papers) and Bayesian Methods and Mixture Models (31 papers) and collaborates with scholars based in France, United States and Belize. Daniel Commenges's co-authors include Luc Letenneur, Hélène Jacqmin‐Gadda, Pascale Barberger‐Gateau, Rodolphe Thiébaut and Jean‐François Dartigues and has published in prestigious journals such as Circulation, Journal of the American Statistical Association and The Journal of Immunology.