John B. Kam

4 papers and 388 indexed citations i.

John B. Kam has authored 4 papers that have received a total of 388 indexed citations. This includes 3 papers in Artificial Intelligence, 3 papers in Computational Theory and Mathematics and 2 papers in Computer Vision and Pattern Recognition. The topics of these papers are Chaos-based Image/Signal Encryption (2 papers), Error Correcting Code Techniques (1 paper) and Algorithms and Data Compression (1 paper). John B. Kam is often cited by papers focused on Chaos-based Image/Signal Encryption (2 papers), Error Correcting Code Techniques (1 paper) and Algorithms and Data Compression (1 paper) and collaborates with scholars based in United States. John B. Kam's co-authors include Jeffrey D. Ullman, David L. Wells and George I. Davida and has published in prestigious journals such as Journal of the ACM, ACM Transactions on Database Systems and Acta Informatica