Austin R. Benson
About
Austin R. Benson has authored 54 papers that have received a total of 1.9k indexed citations.
This includes 27 papers in Statistical and Nonlinear Physics, 22 papers in Artificial Intelligence and 15 papers in Computational Theory and Mathematics. The topics of these papers are Complex Network Analysis Techniques (25 papers), Advanced Graph Neural Networks (12 papers) and Tensor decomposition and applications (7 papers). Austin R. Benson is often cited by papers focused on Complex Network Analysis Techniques (25 papers), Advanced Graph Neural Networks (12 papers) and Tensor decomposition and applications (7 papers) and collaborates with scholars based in United States, United Kingdom and Israel. Austin R. Benson's co-authors include David F. Gleich, Nate Veldt, Jon Kleinberg, Grey Ballard and Hao Yin and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Acta Materialia
In The Last Decade
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