Yoichi Motomura

About

Yoichi Motomura is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Yoichi Motomura has authored 42 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 8 papers in Signal Processing. Recurrent topics in Yoichi Motomura’s work include Context-Aware Activity Recognition Systems (4 papers), Bayesian Modeling and Causal Inference (4 papers) and Robotics and Automated Systems (3 papers). Yoichi Motomura is often cited by papers focused on Context-Aware Activity Recognition Systems (4 papers), Bayesian Modeling and Causal Inference (4 papers) and Robotics and Automated Systems (3 papers). Yoichi Motomura collaborates with scholars based in Japan, United States and The Netherlands. Yoichi Motomura's co-authors include Nikos Vlassis, Ben Kröse, R. Bunschoten, Hideki Asoh, Isao Hara, Toshihiro Matsui, Satoru Hayamizu, Yoshifumi Nishida, Shotaro Akaho and Yoshio Matsumoto and has published in prestigious journals such as PLoS ONE, Neural Computation and CIRP Annals.

In The Last Decade

Co-authorship network of co-authors of Yoichi Motomura i

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Fields of papers citing papers by Yoichi Motomura

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yoichi Motomura. 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 Yoichi Motomura. The network helps show where Yoichi Motomura may publish in the future.

Countries citing papers authored by Yoichi Motomura

Since Specialization

Citations

This map shows the geographic impact of Yoichi Motomura'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 Yoichi Motomura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yoichi Motomura 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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