Johan Dahlin

20 papers and 190 indexed citations i.

Johan Dahlin has authored 20 papers that have received a total of 190 indexed citations. This includes 17 papers in Artificial Intelligence, 8 papers in Statistics and Probability and 7 papers in Control and Systems Engineering. The topics of these papers are Gaussian Processes and Bayesian Inference (12 papers), Target Tracking and Data Fusion in Sensor Networks (7 papers) and Bayesian Methods and Mixture Models (6 papers). Johan Dahlin is often cited by papers focused on Gaussian Processes and Bayesian Inference (12 papers), Target Tracking and Data Fusion in Sensor Networks (7 papers) and Bayesian Methods and Mixture Models (6 papers) and collaborates with scholars based in Sweden, United Kingdom and Australia. Johan Dahlin's co-authors include Thomas B. Schön, Fredrik Lindsten, Adrian Wills, Christian A. Naesseth and Manon Kok and has published in prestigious journals such as Automatica, Journal of Statistical Software and Statistics and Computing.