Masahiro Sato
- Artificial Intelligence top 5%
- Machine Learning in Healthcare 4
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- Epilepsy research and treatment 9
- Orthopedics and Sports Medicine top 10%
- Control and Systems Engineering top 10%
- Power Systems Fault Detection 6
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- Recommender Systems and Techniques 13
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- Power System Optimization and Stability 7
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- Advanced Bandit Algorithms Research 7
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- EEG and Brain-Computer Interfaces 4
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- Liver Disease and Transplantation 4
Masahiro Sato
71 papers receiving 696 citations
Peers
Comparison fields: 5 of 128
- Computer Science Applications 84
- Artificial Intelligence 221
- Psychiatry and Mental health 84
- Orthopedics and Sports Medicine 39
- Control and Systems Engineering 88
Countries citing papers authored by Masahiro Sato
This map shows the geographic impact of Masahiro 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 Masahiro Sato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masahiro Sato more than expected).
Fields of papers citing papers by Masahiro Sato
This network shows the impact of papers produced by Masahiro 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 Masahiro Sato. The network helps show where Masahiro Sato may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Masahiro Sato, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 0 | |
| 4 | 2022 | 0 | |
| 5 | 2019 | 2 | |
| 6 | 2019 | 122 | |
| 7 | 2017 | 0 | |
| 8 | Accurate and Diverse Recommendation based on Users' Tendencies toward Temporal Item Popularity. | 2017 | 3 |
| 9 | 2017 | 1 | |
| 10 | Estimated LeeWay and Drift for super cruise ship | 2014 | 0 |
| 11 | 2011 | 4 | |
| 12 | 2007 | 42 | |
| 13 | 2006 | 31 | |
| 14 | Reinforcement learning based on online EM algorithm | 1999 | 1 |
| 15 | 1999 | 12 | |
| 16 | 1998 | 9 | |
| 17 | 1996 | 7 | |
| 18 | 1995 | 0 | |
| 19 | 1995 | 3 | |
| 20 | 1993 | 64 |
About Masahiro Sato
Masahiro Sato is a scholar working on Control and Systems Engineering, Management Science and Operations Research and Energy Engineering and Power Technology, having authored 84 papers that have together received 727 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (13 papers), Epilepsy research and treatment (9 papers), Power System Optimization and Stability (7 papers), Advanced Bandit Algorithms Research (7 papers), Power Systems Fault Detection (6 papers), EEG and Brain-Computer Interfaces (4 papers), Liver Disease and Transplantation (4 papers) and Machine Learning in Healthcare (4 papers). The work is most often cited by research in Computer Science Applications (84 citations), Artificial Intelligence (221 citations) and Psychiatry and Mental health (84 citations). Masahiro Sato has collaborated with scholars based in Japan, United States and Austria. Frequent co-authors include Hiroshi Tsukimoto, Tomoko Ohkuma, Qian Zhang, Eiji Oka, Yanying Chen, Francine Chen, Yoko Ohtsuka, Harumi Yoshinaga, Shunsuke Ohtahara and Keiji Watanabe. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and Gastroenterology.
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.