The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Makoto Yokoo sits on this spectrum.
This scientist: 398 publications — 87th percentile
87% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Makoto Yokoo sits on this spectrum.
This scientist: 55 D-Index — 71st percentile
71% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Makoto Yokoo is affiliated with Kyushu University in Japan. Their main fields of study include Economics, Econometrics and Finance, Decision Sciences, and Computer Science. Within these fields, their work particularly focuses on areas such as Economics and Econometrics, Management Science and Operations Research, Computational Theory and Mathematics, Computer Networks and Communications, and Artificial Intelligence.
The research topics they specialize in cover a range of themes including Game Theory and Voting Systems, Auction Theory and Applications, Game Theory and Applications, Complexity and Algorithms in Graphs, Economic theories and models, Experimental Behavioral Economics Studies, and Constraint Satisfaction and Optimization.
Yokoo's recent papers showcase a focus on mechanism design, auction theory, and matching markets. Selected recent publications include:
These papers examine topics such as strategy-proof mechanisms, fairness in matching markets, and the design of allocation mechanisms under various constraints.
Yokoo frequently publishes in venues such as arXiv (Cornell University), Proceedings of the AAAI Conference on Artificial Intelligence, Artificial Intelligence, Autonomous Agents and Multi-Agent Systems, and SSRN Electronic Journal.
They have collaborated extensively with coauthors including Zhaohong Sun, Kei Kimura, Taiki Todo, Kentaro Yahiro, and Yasushi Kawase.
Yokoo has contributed to academic literature through the publication of a book titled Distributed Artificial Intelligence, published by Springer Science+Business Media in 2023.
Recognized within the scientific community, Yokoo was named a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) in 2011 for their work on theory and algorithms for multiagent systems, including pioneering research in distributed constraint reasoning and mechanism design in anonymous environments.
Pragnesh Jay Modi;Wei-Min Shen;Milind Tambe;Makoto Yokoo
M. Yokoo;E.H. Durfee;T. Ishida;K. Kuwabara
Makoto Yokoo;Katsutoshi Hirayama
M. Yokoo;T. Ishida;E.H. Durfee;K. Kuwabara
Katsutoshi Hirayama;Makoto Yokoo
R. Nair;M. Tambe;M. Yokoo;D. Pynadath
Makoto Yokoo
Makoto Yokoo;Yuko Sakurai;Shigeo Matsubara
Ranjit Nair;Pradeep Varakantham;Milind Tambe;Makoto Yokoo
Pragnesh Jay Modi;Wei-Min Shen;Milind Tambe;Makoto Yokoo
Makoto Yokoo;Katsutoshi Hirayama
Makoto Yokoo
Makoto Yokoo;Yuko Sakurai;Shigeo Matsubara
Fumio Hattori;Takeshi Ohguro;Makoto Yokoo;Shigeo Matsubara
Makoto Yokoo;K. Hirayama
T. Ishida;L. Gasser;M. Yokoo
Makoto Yokoo;Koutarou Suzuki;Katsutoshi Hirayama
Daniel Fragiadakis;Atsushi Iwasaki;Peter Troyan;Suguru Ueda
M. Yokoo
Makoto Yokoo
Katsutoshi Hirayama;Makoto Yokoo
Edmund Durfee;Makoto Yokoo;Michael Huhns;Onn Shehory
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