Clayton Scott

96 papers and 2.1k indexed citations i.

Clayton Scott has authored 96 papers that have received a total of 2.1k indexed citations. This includes 50 papers in Artificial Intelligence, 24 papers in Statistics and Probability and 12 papers in Materials Chemistry. The topics of these papers are Machine Learning and Algorithms (18 papers), Statistical Methods and Inference (15 papers) and Anomaly Detection Techniques and Applications (14 papers). Clayton Scott is often cited by papers focused on Machine Learning and Algorithms (18 papers), Statistical Methods and Inference (15 papers) and Anomaly Detection Techniques and Applications (14 papers) and collaborates with scholars based in United States, France and Germany. Clayton Scott's co-authors include Robert D. Nowak, Gyemin Lee, Samir Farhat, Pavel Nikolaev and Gowtham Bellala and has published in prestigious journals such as Journal of the American College of Cardiology, Journal of Applied Physics and NeuroImage