Masatoshi Uehara

13 papers and 41 indexed citations i.

About

Masatoshi Uehara is a scholar working on Artificial Intelligence, Statistics and Probability and Management Science and Operations Research. According to data from OpenAlex, Masatoshi Uehara has authored 13 papers receiving a total of 41 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 7 papers in Statistics and Probability and 3 papers in Management Science and Operations Research. Recurrent topics in Masatoshi Uehara’s work include Reinforcement Learning in Robotics (6 papers), Advanced Causal Inference Techniques (4 papers) and Statistical Methods and Inference (4 papers). Masatoshi Uehara is often cited by papers focused on Reinforcement Learning in Robotics (6 papers), Advanced Causal Inference Techniques (4 papers) and Statistical Methods and Inference (4 papers). Masatoshi Uehara collaborates with scholars based in United States and Japan. Masatoshi Uehara's co-authors include Nathan Kallus, Jae Kwang Kim, Yusuke Narita, Nobuyuki Shimizu, Yuta Saito, Xiaojie Mao, Takashi Takenouchi, Rahul Kidambi, Yichun Hu and Jonathan Chang and has published in prestigious journals such as Biometrika, Operations Research and Mathematics of Operations Research.

In The Last Decade

Co-authorship network of co-authors of Masatoshi Uehara i

Fields of papers citing papers by Masatoshi Uehara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Masatoshi Uehara. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Masatoshi Uehara. The network helps show where Masatoshi Uehara may publish in the future.

Countries citing papers authored by Masatoshi Uehara

Since Specialization
Citations

This map shows the geographic impact of Masatoshi Uehara's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Masatoshi Uehara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masatoshi Uehara more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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