Daniel L. Sussman

30 papers and 1.1k indexed citations i.

Daniel L. Sussman has authored 30 papers that have received a total of 1.1k indexed citations. This includes 16 papers in Artificial Intelligence, 13 papers in Statistical and Nonlinear Physics and 7 papers in Computer Vision and Pattern Recognition. The topics of these papers are Complex Network Analysis Techniques (13 papers), Advanced Graph Neural Networks (10 papers) and Graph Theory and Algorithms (5 papers). Daniel L. Sussman is often cited by papers focused on Complex Network Analysis Techniques (13 papers), Advanced Graph Neural Networks (10 papers) and Graph Theory and Algorithms (5 papers) and collaborates with scholars based in United States, France and United Kingdom. Daniel L. Sussman's co-authors include Carey E. Priebe, Minh Tang, Vince Lyzinski, Donniell E. Fishkind and Avanti Athreya and has published in prestigious journals such as Journal of the American Statistical Association, Nature Neuroscience and IEEE Transactions on Pattern Analysis and Machine Intelligence.