Randy Kerber

2 papers and 307 indexed citations i.

Randy Kerber is a scholar working on Artificial Intelligence, Management Science and Operations Research and Information Systems. According to data from OpenAlex, Randy Kerber has authored 2 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Artificial Intelligence, 1 paper in Management Science and Operations Research and 1 paper in Information Systems. Recurrent topics in Randy Kerber’s work include Stock Market Forecasting Methods (1 paper), Neural Networks and Applications (1 paper) and Data Mining Algorithms and Applications (1 paper). Randy Kerber is often cited by papers focused on Stock Market Forecasting Methods (1 paper), Neural Networks and Applications (1 paper) and Data Mining Algorithms and Applications (1 paper). Randy Kerber collaborates with scholars based in United States. Randy Kerber's co-authors include Peter Miller and George H. John and has published in prestigious journals such as IEEE Expert and National Conference on Artificial Intelligence.