Andrew Pomerance

14 papers and 322 indexed citations i.

Andrew Pomerance has authored 14 papers that have received a total of 322 indexed citations. This includes 6 papers in Statistical and Nonlinear Physics, 4 papers in Artificial Intelligence and 3 papers in Molecular Biology. The topics of these papers are Neural Networks and Reservoir Computing (4 papers), Bioinformatics and Genomic Networks (3 papers) and Model Reduction and Neural Networks (3 papers). Andrew Pomerance is often cited by papers focused on Neural Networks and Reservoir Computing (4 papers), Bioinformatics and Genomic Networks (3 papers) and Model Reduction and Neural Networks (3 papers) and collaborates with scholars based in United States and France. Andrew Pomerance's co-authors include Edward Ott, Michelle Girvan, Daniel J. Gauthier, Wolfgang Losert and Alexander Wikner and has published in prestigious journals such as Proceedings of the National Academy of Sciences, IEEE Access and Neural Networks