Hitoshi Kono
- Surgery
- Automotive Engineering top 5%
- Pathology and Forensic Medicine top 10%
- Control and Systems Engineering top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Hajime AsamaYusuke TamuraAtsushi YamashitaYonghoon JiMorio MatsumotoKota WatanabeYasunori YamamotoHanwool Woo
- Topics
- Spine and Intervertebral Disc Pathology (15 papers)Cervical and Thoracic Myelopathy (10 papers)Robotic Path Planning Algorithms (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaSpineJournal of Pineal Research
- Partner nations
- JapanUnited StatesHong Kong
In The Last Decade
Hitoshi Kono
55 papers receiving 508 citations
Peers
Comparison fields: 5 of 94
- Surgery 184
- Automotive Engineering 160
- Pathology and Forensic Medicine 157
- Control and Systems Engineering 91
- Computer Vision and Pattern Recognition 59
Countries citing papers authored by Hitoshi Kono
This map shows the geographic impact of Hitoshi Kono'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 Hitoshi Kono with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hitoshi Kono more than expected).
Fields of papers citing papers by Hitoshi Kono
This network shows the impact of papers produced by Hitoshi Kono. 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 Hitoshi Kono. The network helps show where Hitoshi Kono may publish in the future.
Co-authorship network of co-authors of Hitoshi Kono
This figure shows the co-authorship network connecting the top 25 collaborators of Hitoshi Kono. A scholar is included among the top collaborators of Hitoshi Kono 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 Hitoshi Kono. Hitoshi Kono 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 | 1 | |
| 4 | 1 | |
| 5 | 13 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 14 | |
| 9 | 31 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 0 | |
| 14 | Convergence estimation utilizing fractal dimensional analysis for reinforcement learning | 1 |
| 15 | 4 | |
| 16 | 5 | |
| 17 | 1 | |
| 18 | 1 | |
| 19 | The present status of pavement recycling in Japan | 0 |
| 20 | 1 |
About Hitoshi Kono
Hitoshi Kono is a scholar working on Pathology and Forensic Medicine, Computer Vision and Pattern Recognition and Process Chemistry and Technology, having authored 67 papers that have together received 520 indexed citations. Recurring topics across this work include Spine and Intervertebral Disc Pathology (15 papers), Cervical and Thoracic Myelopathy (10 papers) and Robotic Path Planning Algorithms (9 papers). The work is most often cited by research in Automotive Engineering (160 citations), Pathology and Forensic Medicine (157 citations) and Surgery (184 citations). Hitoshi Kono has collaborated with scholars based in Japan, United States and Hong Kong. Frequent co-authors include Hajime Asama, Yusuke Tamura, Atsushi Yamashita, Yonghoon Ji, Morio Matsumoto, Kota Watanabe, Yasunori Yamamoto, Hanwool Woo, Mitsuru Yagi and Narihito Nagoshi. Their work appears in journals such as SHILAP Revista de lepidopterología, Spine and Journal of Pineal Research.
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.