Ayanori Yorozu
- Biomedical Engineering
- Computer Vision and Pattern Recognition top 10%
- Physical Therapy, Sports Therapy and Rehabilitation top 5%
- Endocrinology, Diabetes and Metabolism
- Control and Systems Engineering
- Co-authors
- Masaki TakahashiTomoki AoyamaTakahira YamaguchiHideo SuzukiTakeshi MoritaShu NishiguchiTakahiko FukumotoKazuhiro Kuno
- Topics
- Balance, Gait, and Falls Prevention (14 papers)Robotic Path Planning Algorithms (10 papers)Gait Recognition and Analysis (9 papers)
In The Last Decade
Ayanori Yorozu
43 papers receiving 287 citations
Peers
Comparison fields: 5 of 62
- Biomedical Engineering 123
- Computer Vision and Pattern Recognition 93
- Physical Therapy, Sports Therapy and Rehabilitation 82
- Endocrinology, Diabetes and Metabolism 53
- Control and Systems Engineering 48
Countries citing papers authored by Ayanori Yorozu
This map shows the geographic impact of Ayanori Yorozu'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 Ayanori Yorozu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ayanori Yorozu more than expected).
Fields of papers citing papers by Ayanori Yorozu
This network shows the impact of papers produced by Ayanori Yorozu. 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 Ayanori Yorozu. The network helps show where Ayanori Yorozu may publish in the future.
Co-authorship network of co-authors of Ayanori Yorozu
This figure shows the co-authorship network connecting the top 25 collaborators of Ayanori Yorozu. A scholar is included among the top collaborators of Ayanori Yorozu 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 Ayanori Yorozu. Ayanori Yorozu 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 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 10 | |
| 6 | 7 | |
| 7 | 7 | |
| 8 | 18 | |
| 9 | 7 | |
| 10 | 1 | |
| 11 | 15 | |
| 12 | 11 | |
| 13 | 14 | |
| 14 | 7 | |
| 15 | 3 | |
| 16 | 4 | |
| 17 | 1 | |
| 18 | 11 | |
| 19 | 29 | |
| 20 | 2 |
About Ayanori Yorozu
Ayanori Yorozu is a scholar working on Physical Therapy, Sports Therapy and Rehabilitation, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 48 papers that have together received 293 indexed citations. Recurring topics across this work include Balance, Gait, and Falls Prevention (14 papers), Robotic Path Planning Algorithms (10 papers) and Gait Recognition and Analysis (9 papers). The work is most often cited by research in Physical Therapy, Sports Therapy and Rehabilitation (82 citations), Computer Vision and Pattern Recognition (93 citations) and Human-Computer Interaction (22 citations). Ayanori Yorozu has collaborated with scholars based in Japan, Austria and Brazil. Frequent co-authors include Masaki Takahashi, Tomoki Aoyama, Takahira Yamaguchi, Hideo Suzuki, Takeshi Morita, Shu Nishiguchi, Takahiko Fukumoto, Kazuhiro Kuno, A. Ogawa and Masaki Okada. Their work appears in journals such as Journal of Biomechanics, Sensors and Osteoarthritis and Cartilage.
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.