Jim Demmel

3 papers and 185 indexed citations i.

Jim Demmel is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Jim Demmel has authored 3 papers receiving a total of 185 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Computer Networks and Communications. Recurrent topics in Jim Demmel’s work include Anomaly Detection Techniques and Applications (2 papers), Matrix Theory and Algorithms (1 paper) and Machine Learning and ELM (1 paper). Jim Demmel is often cited by papers focused on Anomaly Detection Techniques and Applications (2 papers), Matrix Theory and Algorithms (1 paper) and Machine Learning and ELM (1 paper). Jim Demmel collaborates with scholars based in United States, Singapore and India. Jim Demmel's co-authors include Emmanuel Agullo, Hatem Ltaief, Bilel Hadri, Stanimire Tomov, Jakub Kurzak, Julien Langou, Piotr Łuszczek, Jack Dongarra and Yang You and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Big Data and Journal of Physics Conference Series.