Andrew Pomerance

14 papers and 326 indexed citations i.

Andrew Pomerance has authored 14 papers that have received a total of 326 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), Model Reduction and Neural Networks (3 papers) and Gene Regulatory Network Analysis (3 papers). Andrew Pomerance is often cited by papers focused on Neural Networks and Reservoir Computing (4 papers), Model Reduction and Neural Networks (3 papers) and Gene Regulatory Network Analysis (3 papers) and collaborates with scholars based in United States and France. Andrew Pomerance's co-authors include Edward Ott, Michelle Girvan, Wolfgang Losert, Daniel J. Gauthier and Brian R. Hunt and has published in prestigious journals such as Proceedings of the National Academy of Sciences, IEEE Access and Neural Networks.