Kyosuke Ono
- Mechanics of Materials top 1%
- Adhesion, Friction, and Surface Interactions 101
- Mechanical Engineering top 2%
- Tribology and Lubrication Engineering 83
- Gear and Bearing Dynamics Analysis 51
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- Iterative Learning Control Systems 24
- Vibration and Dynamic Analysis 16
- Automotive Engineering top 5%
- Brake Systems and Friction Analysis 27
- Biomedical Engineering top 10%
- Robotic Locomotion and Control 28
- Sports Dynamics and Biomechanics 17
Kyosuke Ono
211 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 67
- Mechanics of Materials 779
- Mechanical Engineering 888
- Control and Systems Engineering 424
- Automotive Engineering 172
- Biomedical Engineering 428
Countries citing papers authored by Kyosuke Ono
This map shows the geographic impact of Kyosuke Ono'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 Kyosuke Ono with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyosuke Ono more than expected).
Fields of papers citing papers by Kyosuke Ono
This network shows the impact of papers produced by Kyosuke Ono. 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 Kyosuke Ono. The network helps show where Kyosuke Ono may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kyosuke Ono, 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 | 2024 | 1 | |
| 2 | 2012 | 17 | |
| 3 | 2008 | 1 | |
| 4 | 2006 | 16 | |
| 5 | SPRAM with large thermal stability for high immunity to read disturbance and long retention for high-temperature operation | 2006 | 7 |
| 6 | 2006 | 26 | |
| 7 | Static characteristics of journal bearings using liquid crystals as a lubricating fluid | 2005 | 1 |
| 8 | 2005 | 1 | |
| 9 | 2003 | 0 | |
| 10 | 2002 | 2 | |
| 11 | 2000 | 1 | |
| 12 | Experimental study of a self-propelled two-joint dolphin robot | 1999 | 5 |
| 13 | 1999 | 21 | |
| 14 | 1996 | 1 | |
| 15 | 1993 | 2 | |
| 16 | 1992 | 2 | |
| 17 | 1991 | 1 | |
| 18 | 1991 | 5 | |
| 19 | 1990 | 3 | |
| 20 | 1989 | 2 |
About Kyosuke Ono
Kyosuke Ono is a scholar working on Mechanics of Materials, Mechanical Engineering, Control and Systems Engineering, Automotive Engineering and Biomedical Engineering, having authored 233 papers that have together received 2.0k indexed citations. Recurring topics across this work include Adhesion, Friction, and Surface Interactions (101 papers), Tribology and Lubrication Engineering (83 papers), Gear and Bearing Dynamics Analysis (51 papers), Robotic Locomotion and Control (28 papers), Brake Systems and Friction Analysis (27 papers), Iterative Learning Control Systems (24 papers), Sports Dynamics and Biomechanics (17 papers) and Vibration and Dynamic Analysis (16 papers). The work is most often cited by research in Mechanics of Materials (779 citations), Mechanical Engineering (888 citations), Control and Systems Engineering (424 citations), Automotive Engineering (172 citations) and Biomedical Engineering (428 citations). Kyosuke Ono has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include N. Konishi, Hiroshi YAMAURA, A. Mimura, Motomu NAKASHIMA, Kan Takahashi, Kenji Miyata, Yūichi Ono, Toru Shimada, David B. Bogy and Jen‐San Chen. Their work appears in journals such as Journal of Tribology, IEEE Transactions on Magnetics, Microsystem Technologies, Tribology Letters and IEEE Transactions on Electron Devices.
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.