Charles Siegel

9 papers and 97 indexed citations i.

Charles Siegel has authored 9 papers that have received a total of 97 indexed citations. This includes 3 papers in Computer Vision and Pattern Recognition, 2 papers in Electrical and Electronic Engineering and 2 papers in Materials Chemistry. The topics of these papers are Advanced Neural Network Applications (3 papers), Computational Drug Discovery Methods (2 papers) and Machine Learning in Materials Science (2 papers). Charles Siegel is often cited by papers focused on Advanced Neural Network Applications (3 papers), Computational Drug Discovery Methods (2 papers) and Machine Learning in Materials Science (2 papers) and collaborates with scholars based in United States and Russia. Charles Siegel's co-authors include Abhinav Vishnu, Jeff Daily, Nathan O. Hodas, Garrett B. Goh and Nathan R. Tallent and has published in prestigious journals such as Future Generation Computer Systems, Data Mining and Knowledge Discovery and Geometry & Topology