Satoshi Koide
Impact in
- Signal Processing top 10%
- Data Management and Algorithms
- Time Series Analysis and Forecasting
- Transportation top 10%
- Human Mobility and Location-Based Analysis
Papers in
-
- Multimodal Machine Learning Applications 4
-
- Data Management and Algorithms 5
- Co-authors
- Takayoshi Yoshimura (3 shared papers)Shun Taguchi (6 shared papers)Yoshiharu Ishikawa (3 shared papers)Chuan Xiao (3 shared papers)Yukihiro Tadokoro (3 shared papers)Daisuke Furihata (1 shared paper)Noriko N. Ishizaki (1 shared paper)Ruho Kondo (5 shared papers)
- Journals
- Artificial Organs (3 papers)IEEE Access (2 papers)IEEE Transactions on Computational Biology and Bioinformatics (1 paper)IEEE Transactions on Intelligent Transportation Systems (1 paper)Quantum (1 paper)
- Partner nations
- JapanSwitzerlandCanada
In The Last Decade
Satoshi Koide
38 papers receiving 296 citations
Peers
Comparison fields: 5 of 70
- Signal Processing 82
- Transportation 41
- Building and Construction 50
- Computational Mathematics 2
- Cardiology and Cardiovascular Medicine 49
Countries citing papers authored by Satoshi Koide
This map shows the geographic impact of Satoshi Koide'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 Satoshi Koide with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Satoshi Koide more than expected).
Fields of papers citing papers by Satoshi Koide
This network shows the impact of papers produced by Satoshi Koide. 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 Satoshi Koide. The network helps show where Satoshi Koide may publish in the future.
Co-authors
The 25 scholars most cited alongside Satoshi Koide, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 45 | |
| 2 | 1994 | 32 | |
| 3 | 2020 | 27 | |
| 4 | 2023 | 22 | |
| 5 | 1995 | 14 | |
| 6 | 2018 | 13 | |
| 7 | 2009 | 12 | |
| 8 | 1993 | 11 | |
| 9 | 2022 | 10 | |
| 10 | 2015 | 9 | |
| 11 | Neural Edit Operations for Biological Sequences | 2018 | 7 |
| 12 | 2019 | 7 | |
| 13 | Neurological function after deep hypothermic circulatory arrest in the rat. | 1998 | 7 |
| 14 | 2025 | 7 | |
| 15 | 2018 | 7 | |
| 16 | 2019 | 6 | |
| 17 | 2021 | 6 | |
| 18 | 2022 | 6 | |
| 19 | 2022 | 6 | |
| 20 | Flow-based Image-to-Image Translation with Feature Disentanglement | 2019 | 5 |
About Satoshi Koide
Satoshi Koide is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Transportation and Automotive Engineering, having authored 46 papers that have together received 303 indexed citations. Recurring topics across this work include Data Management and Algorithms (5 papers), Multimodal Machine Learning Applications (4 papers), Cardiac electrophysiology and arrhythmias (4 papers), Transportation Planning and Optimization (4 papers), Heart Rate Variability and Autonomic Control (4 papers), Transportation and Mobility Innovations (4 papers), Traffic control and management (3 papers) and Robotics and Sensor-Based Localization (3 papers). The work is most often cited by research in Signal Processing (82 citations), Transportation (41 citations), Building and Construction (50 citations), Computational Mathematics (2 citations) and Cardiology and Cardiovascular Medicine (49 citations). Satoshi Koide has collaborated with scholars based in Japan, Switzerland and Canada. Frequent co-authors include Takayoshi Yoshimura, Shun Taguchi, Yoshiharu Ishikawa, Chuan Xiao, Yukihiro Tadokoro, Daisuke Furihata, Noriko N. Ishizaki, Ruho Kondo, Hiroaki Yoshida and Yuki Sato. Their work appears in journals such as Artificial Organs, IEEE Access, IEEE Transactions on Computational Biology and Bioinformatics, IEEE Transactions on Intelligent Transportation Systems and Quantum.
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.