Geoffrey J. Gordon

95 papers and 3.0k indexed citations i.

Geoffrey J. Gordon has authored 95 papers that have received a total of 3.0k indexed citations. This includes 61 papers in Artificial Intelligence, 20 papers in Management Science and Operations Research and 14 papers in Computer Vision and Pattern Recognition. The topics of these papers are Bayesian Modeling and Causal Inference (16 papers), Reinforcement Learning in Robotics (15 papers) and Machine Learning and Algorithms (14 papers). Geoffrey J. Gordon is often cited by papers focused on Bayesian Modeling and Causal Inference (16 papers), Reinforcement Learning in Robotics (15 papers) and Machine Learning and Algorithms (14 papers) and collaborates with scholars based in United States, United Kingdom and Portugal. Geoffrey J. Gordon's co-authors include Byron Boots, Sebastian Thrun, Han Zhao, Sajid M. Siddiqi and Robert F. Murphy and has published in prestigious journals such as The Journal of Chemical Physics, Bioinformatics and Psychosomatic Medicine