Hirokazu Nosato
- Oncology
- Radiology, Nuclear Medicine and Imaging
- Surgery
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Hidenori SakanashiMasahiro MurakawaAtsushi IkedaHiroyuki NishiyamaTakahiro KojimaNobuyuki HirutaKoji KawaiEiichi Takahashi
- Topics
- AI in cancer detection (15 papers)Bladder and Urothelial Cancer Treatments (9 papers)Radiomics and Machine Learning in Medical Imaging (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEThe Journal of Urology
- Partner nations
- JapanUnited StatesIndia
In The Last Decade
Hirokazu Nosato
47 papers receiving 337 citations
Peers
Comparison fields: 5 of 60
- Oncology 107
- Radiology, Nuclear Medicine and Imaging 105
- Surgery 99
- Artificial Intelligence 95
- Computer Vision and Pattern Recognition 79
Countries citing papers authored by Hirokazu Nosato
This map shows the geographic impact of Hirokazu Nosato'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 Hirokazu Nosato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hirokazu Nosato more than expected).
Fields of papers citing papers by Hirokazu Nosato
This network shows the impact of papers produced by Hirokazu Nosato. 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 Hirokazu Nosato. The network helps show where Hirokazu Nosato may publish in the future.
Co-authorship network of co-authors of Hirokazu Nosato
This figure shows the co-authorship network connecting the top 25 collaborators of Hirokazu Nosato. A scholar is included among the top collaborators of Hirokazu Nosato 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 Hirokazu Nosato. Hirokazu Nosato 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 | 1 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 11 | |
| 8 | 3 | |
| 9 | 1 | |
| 10 | 26 | |
| 11 | 78 | |
| 12 | 1 | |
| 13 | 2 | |
| 14 | 12 | |
| 15 | 4 | |
| 16 | 8 | |
| 17 | 6 | |
| 18 | 2 | |
| 19 | 6 | |
| 20 | 2 |
About Hirokazu Nosato
Hirokazu Nosato is a scholar working on Computer Vision and Pattern Recognition, Gastroenterology and Media Technology, having authored 54 papers that have together received 347 indexed citations. Recurring topics across this work include AI in cancer detection (15 papers), Bladder and Urothelial Cancer Treatments (9 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). The work is most often cited by research in Health Informatics (18 citations), Radiology, Nuclear Medicine and Imaging (105 citations) and Gastroenterology (23 citations). Hirokazu Nosato has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Hidenori Sakanashi, Masahiro Murakawa, Atsushi Ikeda, Hiroyuki Nishiyama, Takahiro Kojima, Nobuyuki Hiruta, Koji Kawai, Eiichi Takahashi, Hiromitsu Negoro and Tetsuaki Matsunawa. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of Urology.
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.