Naoto Ohsaka
About
Naoto Ohsaka has authored 12 papers that have received a total of 166 indexed citations.
This includes 6 papers in Artificial Intelligence, 6 papers in Computational Theory and Mathematics and 4 papers in Computer Networks and Communications. The topics of these papers are Combinatorial Optimization and Complexity Theory (5 papers), Markov Chains and Monte Carlo Methods (3 papers) and Optimization and Search Problems (3 papers). Naoto Ohsaka is often cited by papers focused on Combinatorial Optimization and Complexity Theory (5 papers), Markov Chains and Monte Carlo Methods (3 papers) and Optimization and Search Problems (3 papers) and collaborates with scholars based in Japan. Naoto Ohsaka's co-authors include Yuichi Yoshida, Takuya Akiba, Ken‐ichi Kawarabayashi and Yoichi Iwata and has published in prestigious journals such as Proceedings of the VLDB Endowment, Journal of Artificial Intelligence Research and Operations Research Letters
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