Thomas R. Hancock
About
Thomas R. Hancock has authored 15 papers that have received a total of 154 indexed citations.
This includes 12 papers in Artificial Intelligence, 7 papers in Computational Theory and Mathematics and 3 papers in Computer Vision and Pattern Recognition. The topics of these papers are Machine Learning and Algorithms (10 papers), Neural Networks and Applications (5 papers) and Machine Learning and Data Classification (4 papers). Thomas R. Hancock is often cited by papers focused on Machine Learning and Algorithms (10 papers), Neural Networks and Applications (5 papers) and Machine Learning and Data Classification (4 papers) and collaborates with scholars based in Canada, United States and Germany. Thomas R. Hancock's co-authors include Nader H. Bshouty, Mostefa Golea, Mario Marchand, Lisa Hellerstein and Sally A. Goldman and has published in prestigious journals such as The Astronomical Journal, Neural Networks and Machine Learning.
In The Last Decade
Explore authors with similar magnitude of impact
Breakdown of academic impact, for papers by Doreen Warriner Breakdown of academic impact, for papers by Richard Moore Breakdown of academic impact, for papers by Roger Wallis Breakdown of academic impact, for papers by Evan A. Rich Breakdown of academic impact, for papers by M. Morinaga Breakdown of academic impact, for papers by Fadzilah Kamaludin Breakdown of academic impact, for papers by Martyna Syposz Breakdown of academic impact, for papers by Haiyan Shi