Michal Parnas
About
Michal Parnas has authored 26 papers that have received a total of 403 indexed citations.
This includes 18 papers in Computational Theory and Mathematics, 15 papers in Artificial Intelligence and 8 papers in Computer Networks and Communications. The topics of these papers are Combinatorial Optimization and Complexity Theory (14 papers), Machine Learning and Algorithms (9 papers) and Algorithms and Data Compression (6 papers). Michal Parnas is often cited by papers focused on Combinatorial Optimization and Complexity Theory (14 papers), Machine Learning and Algorithms (9 papers) and Algorithms and Data Compression (6 papers) and collaborates with scholars based in Israel, United States and Czechia. Michal Parnas's co-authors include Dana Ron, Noam Nisan, Ronitt Rubinfeld, Yuval Noah Harari and Danny Dolev and has published in prestigious journals such as SIAM Review, SIAM Journal on Computing and Linear Algebra and its Applications.
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