Kazuto Akaboshi
- Biomedical Engineering
- Rehabilitation top 5%
- Psychiatry and Mental health top 10%
- Pathology and Forensic Medicine top 10%
- Cognitive Neuroscience
- Co-authors
- Naoichi ChinoYoshihisa MasakadoYukihiro HaraAkio KimuraMeigen LiuShigeru SonodaToshiyuki FujiwaraKazuhisa Domen
- Topics
- Muscle activation and electromyography studies (12 papers)EEG and Brain-Computer Interfaces (7 papers)Stroke Rehabilitation and Recovery (6 papers)
- Cited by
- RehabilitationPhysical Therapy, Sports Therapy and RehabilitationPsychiatry and Mental health
- Partner nations
- Japan
In The Last Decade
Kazuto Akaboshi
25 papers receiving 492 citations
Peers
Comparison fields: 5 of 72
- Biomedical Engineering 167
- Rehabilitation 164
- Psychiatry and Mental health 134
- Pathology and Forensic Medicine 123
- Cognitive Neuroscience 103
Countries citing papers authored by Kazuto Akaboshi
This map shows the geographic impact of Kazuto Akaboshi'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 Kazuto Akaboshi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazuto Akaboshi more than expected).
Fields of papers citing papers by Kazuto Akaboshi
This network shows the impact of papers produced by Kazuto Akaboshi. 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 Kazuto Akaboshi. The network helps show where Kazuto Akaboshi may publish in the future.
Co-authorship network of co-authors of Kazuto Akaboshi
This figure shows the co-authorship network connecting the top 25 collaborators of Kazuto Akaboshi. A scholar is included among the top collaborators of Kazuto Akaboshi 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 Kazuto Akaboshi. Kazuto Akaboshi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 2 | |
| 3 | 29 | |
| 4 | 24 | |
| 5 | 21 | |
| 6 | 50 | |
| 7 | 2 | |
| 8 | 17 | |
| 9 | 2 | |
| 10 | 54 | |
| 11 | 3 | |
| 12 | 33 | |
| 13 | 7 | |
| 14 | 5 | |
| 15 | 85 | |
| 16 | 26 | |
| 17 | 60 | |
| 18 | 38 | |
| 19 | Relationship between Walking Task Performance and Motor Function in Stroke Patients | 5 |
| 20 | 7 |
About Kazuto Akaboshi
Kazuto Akaboshi is a scholar working on Rehabilitation, Neurology and Cognitive Neuroscience, having authored 25 papers that have together received 513 indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (12 papers), EEG and Brain-Computer Interfaces (7 papers) and Stroke Rehabilitation and Recovery (6 papers). The work is most often cited by research in Rehabilitation (164 citations), Physical Therapy, Sports Therapy and Rehabilitation (42 citations) and Psychiatry and Mental health (134 citations). Kazuto Akaboshi has collaborated with scholars based in Japan. Frequent co-authors include Naoichi Chino, Yoshihisa Masakado, Yukihiro Hara, Akio Kimura, Meigen Liu, Shigeru Sonoda, Toshiyuki Fujiwara, Kazuhisa Domen, Akio Tsubahara and Fuminari Kaneko. Their work appears in journals such as Archives of Physical Medicine and Rehabilitation, Clinical Neurophysiology and Muscle & Nerve.
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.