Francisco Javier Díez
About
Francisco Javier Díez has authored 37 papers that have received a total of 635 indexed citations.
This includes 24 papers in Artificial Intelligence, 6 papers in Management Science and Operations Research and 5 papers in Molecular Biology. The topics of these papers are Bayesian Modeling and Causal Inference (22 papers), AI-based Problem Solving and Planning (10 papers) and Data Quality and Management (5 papers). Francisco Javier Díez is often cited by papers focused on Bayesian Modeling and Causal Inference (22 papers), AI-based Problem Solving and Planning (10 papers) and Data Quality and Management (5 papers) and collaborates with scholars based in Spain, France and Switzerland. Francisco Javier Díez's co-authors include Carmen Lacave, Severino F. Galán, Iñigo Bermejo, José Mira and M.B. Gavela and has published in prestigious journals such as Nuclear Physics B, IEEE Transactions on Pattern Analysis and Machine Intelligence and Physics Letters B.
In The Last Decade
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