Ryan Williams
About
Ryan Williams has authored 93 papers that have received a total of 1.5k indexed citations.
This includes 79 papers in Computational Theory and Mathematics, 51 papers in Artificial Intelligence and 21 papers in Computer Networks and Communications. The topics of these papers are Combinatorial Optimization and Complexity Theory (73 papers), Advanced Graph Theory Research (40 papers) and Machine Learning and Algorithms (27 papers). Ryan Williams is often cited by papers focused on Combinatorial Optimization and Complexity Theory (73 papers), Advanced Graph Theory Research (40 papers) and Machine Learning and Algorithms (27 papers) and collaborates with scholars based in United States, Canada and United Kingdom. Ryan Williams's co-authors include Virginia Vassilevska, Virginia Vassilevska Williams, Huacheng Yu, Timothy M. Chan and Amir Abboud and has published in prestigious journals such as Journal of the American College of Cardiology, Communications of the ACM and Journal of Thrombosis and Haemostasis
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