Jay C. Weber

3 papers and 339 indexed citations i.

Jay C. Weber has authored 3 papers that have received a total of 339 indexed citations. This includes 2 papers in Management Science and Operations Research, 2 papers in Industrial and Manufacturing Engineering and 1 paper in Artificial Intelligence. The topics of these papers are Manufacturing Process and Optimization (2 papers), Machine Learning and Algorithms (1 paper) and Business Process Modeling and Analysis (1 paper). Jay C. Weber is often cited by papers focused on Manufacturing Process and Optimization (2 papers), Machine Learning and Algorithms (1 paper) and Business Process Modeling and Analysis (1 paper) and collaborates with scholars based in United States. Jay C. Weber's co-authors include Jay M. Tenenbaum, Thomas Gruber, Michael Genesereth, Robert S. Engelmore and Mark R. Cutkosky and has published in prestigious journals such as Computer and Concurrent Engineering