Johan Schubert

31 papers and 323 indexed citations i.

Johan Schubert has authored 31 papers that have received a total of 323 indexed citations. This includes 22 papers in Artificial Intelligence, 15 papers in Management Science and Operations Research and 9 papers in Computational Theory and Mathematics. The topics of these papers are Bayesian Modeling and Causal Inference (10 papers), Rough Sets and Fuzzy Logic (8 papers) and Multi-Criteria Decision Making (8 papers). Johan Schubert is often cited by papers focused on Bayesian Modeling and Causal Inference (10 papers), Rough Sets and Fuzzy Logic (8 papers) and Multi-Criteria Decision Making (8 papers) and collaborates with scholars based in Sweden and Pakistan. Johan Schubert's co-authors include Pontus Svenson, Hedvig Sidenbladh, Per Svensson, Anna Linderhed and Mats Bengtsson and has published in prestigious journals such as Neurocomputing, Information Fusion and Soft Computing