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 Yoram Bachrach sits on this spectrum.
This scientist: 161 publications — 31st percentile
31% 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 Yoram Bachrach sits on this spectrum.
This scientist: 41 D-Index — 40th percentile
40% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Yoram Bachrach is affiliated with DeepMind in the United Kingdom. Their research spans multiple interconnected fields within computer science, with a primary focus on artificial intelligence, management science and operations research, economics and econometrics, safety research, and sociology and political science.
Their work addresses a range of specialized topics, including experimental behavioral economics studies, reinforcement learning in robotics, sports analytics and performance, evolutionary game theory and cooperation, auction theory and applications, artificial intelligence in games, and game theory and applications.
Yoram Bachrach's publication record includes several recent papers:
The scientist has collaborated frequently with several co-authors, including Ian Gemp, Marc Lanctot, Richard Everett, Andrea Tacchetti, and Kate Larson.
Their research outputs have been published most commonly in arXiv (Cornell University), as well as the Proceedings of the AAAI Conference on Artificial Intelligence, Nature Communications, Nature, and Nature Medicine.
Yoram Bachrach's profile reflects extensive engagement with the fields of artificial intelligence and its applications to economics, game theory, and behavioral studies. Their contributions also span the development of algorithms and methods in reinforcement learning and applied AI in domains such as sports analytics and healthcare-related decision-making processes.
Yoram Bachrach;Michal Kosinski;Thore Graepel;Pushmeet Kohli
Michal Kosinski;Yoram Bachrach;Pushmeet Kohli;David Stillwell
Yoad Lewenberg;Yoram Bachrach;Yonatan Sompolinsky;Aviv Zohar
Daniel Preoţiuc-Pietro;Svitlana Volkova;Vasileios Lampos;Yoram Bachrach
Yoram Bachrach;Thore Graepel;Tom Minka;John Guiver
Allan Dafoe;Yoram Bachrach;Gillian Hadfield;Eric Horvitz
Yoram Bachrach;Yehuda Finkelstein;Ran Gilad-Bachrach;Liran Katzir
Svitlana Volkova;Yoram Bachrach;Michael Armstrong;Vijay Sharma
Yoram Bachrach;Evangelos Markakis;Ezra Resnick;Ariel D. Procaccia
Yoram Bachrach;Edith Elkind;Reshef Meir;Dmitrii Pasechnik
Yoram Bachrach;Jeffrey S. Rosenschein
Michael Zuckerman;Piotr Faliszewski;Yoram Bachrach;Edith Elkind
Svitlana Volkova;Yoram Bachrach
Jens Witkowski;Yoram Bachrach;Peter Key;David Christopher Parkes
Michal Kosinski;Yoram Bachrach;Gjergji Kasneci;Jurgen Van-Gael
Yoram Bachrach;Jeffrey S. Rosenschein
Yoram Bachrach;Nadja Betzler;Piotr Faliszewski
Yoram Bachrach;Pushmeet Kohli;Vladimir Kolmogorov;Morteza Zadimoghaddam
Yoram Bachrach;Thore Graepel;Gjergji Kasneci;Michal Kosinski
Ariel D. Procaccia;Yoram Bachrach;Jeffrey S. Rosenschein
David Balduzzi;Marta Garnelo;Yoram Bachrach;Wojciech M. Czarnecki
Allan Dafoe;Edward Hughes;Yoram Bachrach;Tantum Collins
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