Jennifer Neville
About
Jennifer Neville has authored 70 papers that have received a total of 1.7k indexed citations.
This includes 44 papers in Artificial Intelligence, 27 papers in Statistical and Nonlinear Physics and 15 papers in Information Systems. The topics of these papers are Complex Network Analysis Techniques (27 papers), Advanced Graph Neural Networks (18 papers) and Bayesian Modeling and Causal Inference (17 papers). Jennifer Neville is often cited by papers focused on Complex Network Analysis Techniques (27 papers), Advanced Graph Neural Networks (18 papers) and Bayesian Modeling and Causal Inference (17 papers) and collaborates with scholars based in United States, United Kingdom and Germany. Jennifer Neville's co-authors include David Jensen, Brian Gallagher, Nesreen K. Ahmed, Ryan A. Rossi and Sebastián Moreno and has published in prestigious journals such as Communications of the ACM, IEEE Signal Processing Magazine and Neural Networks
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