Issei Sato

58 papers and 738 indexed citations i.

About

Issei Sato is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistics and Probability. According to data from OpenAlex, Issei Sato has authored 58 papers receiving a total of 738 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 8 papers in Statistics and Probability. Recurrent topics in Issei Sato’s work include Bayesian Methods and Mixture Models (10 papers), Gaussian Processes and Bayesian Inference (7 papers) and Domain Adaptation and Few-Shot Learning (6 papers). Issei Sato is often cited by papers focused on Bayesian Methods and Mixture Models (10 papers), Gaussian Processes and Bayesian Inference (7 papers) and Domain Adaptation and Few-Shot Learning (6 papers). Issei Sato collaborates with scholars based in Japan, United States and Australia. Issei Sato's co-authors include Hiroshi Nakagawa, Masashi Sugiyama, Sadao Ota, Ryoichi Horisaki, Satoko Yamaguchi, Yukihiro Nomura, Yōko Kawamura, Naoto Hayashi, Kayo Waki and Katsuhito Fujiu and has published in prestigious journals such as Science, ACM Transactions on Graphics and Neural Computation.

In The Last Decade

Co-authorship network of co-authors of Issei Sato i

Fields of papers citing papers by Issei Sato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Issei Sato

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025