Andrew Pomerance

14 papers and 331 indexed citations i.

Andrew Pomerance is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Andrew Pomerance has authored 14 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Statistical and Nonlinear Physics, 4 papers in Artificial Intelligence and 3 papers in Molecular Biology. Recurrent topics in Andrew Pomerance’s work include 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). Andrew Pomerance 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 Brian R. Hunt and has published in prestigious journals such as Proceedings of the National Academy of Sciences, IEEE Access and Neural Networks.