José A. Gámez

100 papers and 1.6k indexed citations i.

José A. Gámez has authored 100 papers that have received a total of 1.6k indexed citations. This includes 72 papers in Artificial Intelligence, 20 papers in Signal Processing and 19 papers in Computational Theory and Mathematics. The topics of these papers are Bayesian Modeling and Causal Inference (35 papers), Machine Learning and Data Classification (19 papers) and Rough Sets and Fuzzy Logic (15 papers). José A. Gámez is often cited by papers focused on Bayesian Modeling and Causal Inference (35 papers), Machine Learning and Data Classification (19 papers) and Rough Sets and Fuzzy Logic (15 papers) and collaborates with scholars based in Spain, United Kingdom and Cuba. José A. Gámez's co-authors include José M. Puerta, Juan A. Aledo, Luis de la Ossa, Pablo Bermejo and Luis M. de Campos and has published in prestigious journals such as European Journal of Operational Research, Journal of Computational Chemistry and Expert Systems with Applications.