Ryosuke Kojima
Impact in
- Signal Processing top 5%
- Speech and Audio Processing
- Music and Audio Processing
- Direction-of-Arrival Estimation Techniques
- Health Informatics top 5%
Papers in
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- Speech and Audio Processing 9
- Music and Audio Processing 9
- Direction-of-Arrival Estimation Techniques 5
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- Computational Drug Discovery Methods 16
- Co-authors
- Yasushi Okuno (28 shared papers)Osamu Sugiyama (17 shared papers)Kazuhiro Nakadai (20 shared papers)Shoichi Ishida (5 shared papers)Hiroaki Iwata (10 shared papers)Kiyosei Takasu (2 shared papers)Kei Terayama (4 shared papers)Shigehisa Akine (3 shared papers)
In The Last Decade
Ryosuke Kojima
53 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 103
- Signal Processing 168
- Health Informatics 42
- Developmental Biology 28
- Computational Theory and Mathematics 166
- Organic Chemistry 205
Countries citing papers authored by Ryosuke Kojima
This map shows the geographic impact of Ryosuke Kojima'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 Ryosuke Kojima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryosuke Kojima more than expected).
Fields of papers citing papers by Ryosuke Kojima
This network shows the impact of papers produced by Ryosuke Kojima. 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 Ryosuke Kojima. The network helps show where Ryosuke Kojima may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryosuke Kojima, 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 151 | |
| 2 | 2018 | 107 | |
| 3 | 2020 | 87 | |
| 4 | 2020 | 69 | |
| 5 | 2019 | 67 | |
| 6 | 2020 | 60 | |
| 7 | 2017 | 48 | |
| 8 | 2019 | 48 | |
| 9 | 2022 | 41 | |
| 10 | 2020 | 34 | |
| 11 | 2020 | 29 | |
| 12 | 2016 | 28 | |
| 13 | 2020 | 28 | |
| 14 | 2016 | 24 | |
| 15 | 2019 | 21 | |
| 16 | 2021 | 18 | |
| 17 | 2023 | 17 | |
| 18 | 2017 | 16 | |
| 19 | 2021 | 16 | |
| 20 | 2017 | 15 |
About Ryosuke Kojima
Ryosuke Kojima is a scholar working on Signal Processing, Computational Theory and Mathematics, Artificial Intelligence, Health Information Management and Developmental Biology, having authored 59 papers that have together received 1.1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (16 papers), Speech and Audio Processing (9 papers), Music and Audio Processing (9 papers), Artificial Intelligence in Healthcare (5 papers), Direction-of-Arrival Estimation Techniques (5 papers), Machine Learning in Healthcare (4 papers), Supramolecular Chemistry and Complexes (3 papers) and AI in cancer detection (3 papers). The work is most often cited by research in Signal Processing (168 citations), Health Informatics (42 citations), Developmental Biology (28 citations), Computational Theory and Mathematics (166 citations) and Organic Chemistry (205 citations). Ryosuke Kojima has collaborated with scholars based in Japan, Singapore and Hong Kong. Frequent co-authors include Yasushi Okuno, Osamu Sugiyama, Kazuhiro Nakadai, Shoichi Ishida, Hiroaki Iwata, Kiyosei Takasu, Kei Terayama, Shigehisa Akine, Tomoki Ogoshi and Takahiro Kakuta. Their work appears in journals such as Journal of Chemical Information and Modeling, Journal of Cheminformatics, PLoS ONE, Nature Communications and International Journal of Medical Informatics.
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.