Kazuyuki Ito
- Biomedical Engineering top 5%
- Mechanical Engineering top 5%
- Materials Chemistry
- Electrical and Electronic Engineering
- Control and Systems Engineering top 5%
- Co-authors
- Yoshiyuki KurodaKazuyuki KurodaYoshiaki KonishiMasahiro NISHIDATakashi YamaneYoshiyuki TaenakaToru MasuzawaTakashi Hayashi
- Topics
- Modular Robots and Swarm Intelligence (37 papers)Robotic Locomotion and Control (24 papers)Soft Robotics and Applications (19 papers)
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
Kazuyuki Ito
124 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 127
- Biomedical Engineering 579
- Mechanical Engineering 355
- Materials Chemistry 210
- Electrical and Electronic Engineering 160
- Control and Systems Engineering 159
Countries citing papers authored by Kazuyuki Ito
This map shows the geographic impact of Kazuyuki Ito'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 Kazuyuki Ito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazuyuki Ito more than expected).
Fields of papers citing papers by Kazuyuki Ito
This network shows the impact of papers produced by Kazuyuki Ito. 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 Kazuyuki Ito. The network helps show where Kazuyuki Ito may publish in the future.
Co-authorship network of co-authors of Kazuyuki Ito
This figure shows the co-authorship network connecting the top 25 collaborators of Kazuyuki Ito. A scholar is included among the top collaborators of Kazuyuki Ito based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kazuyuki Ito. Kazuyuki Ito is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | Minna de Honkoku: online transcription project of earthquake-related historical documents | 1 |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 19 | |
| 9 | 3 | |
| 10 | 6 | |
| 11 | 0 | |
| 12 | 2 | |
| 13 | 1 | |
| 14 | A study of reinforcement learning with knowledge sharing | 1 |
| 15 | 3 | |
| 16 | 1 | |
| 17 | 34 | |
| 18 | 23 | |
| 19 | 1 | |
| 20 | 21 |
About Kazuyuki Ito
Kazuyuki Ito is a scholar working on Mechanical Engineering, Biomedical Engineering and Control and Systems Engineering, having authored 139 papers that have together received 1.2k indexed citations. Recurring topics across this work include Modular Robots and Swarm Intelligence (37 papers), Robotic Locomotion and Control (24 papers) and Soft Robotics and Applications (19 papers). The work is most often cited by research in Biomedical Engineering (579 citations), Mechanical Engineering (355 citations) and Biomaterials (112 citations). Kazuyuki Ito has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Yoshiyuki Kuroda, Kazuyuki Kuroda, Yoshiaki Konishi, Masahiro NISHIDA, Takashi Yamane, Yoshiyuki Taenaka, Toru Masuzawa, Takashi Hayashi, John C. Chen and Masayuki Taniguchi. Their work appears in journals such as Journal of Applied Physics, Langmuir and Scientific Reports.
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.