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
In The Last Decade
Explore authors with similar magnitude of impact
Top fields papers by Yanfei Chen are about Top countries impacted by papers by Jang-Bo Lee Top journals papers by Manee Piya‐Anant are published in Top countries impacted by papers by Davide Barrera Top fields papers by Bryon A. Tompkins are about Top journals papers by Laura Ginocchi are published in Top journals papers by Anna Orlova are published in Top journals papers by Birgitt Röttger‐Rössler are published in