Kazuhiro Kozuka
- Computer Vision and Pattern Recognition top 5%
- Media Technology top 2%
- Pulmonary and Respiratory Medicine
- Surgery
- Artificial Intelligence
- Co-authors
- Shin YamamotoTomoki NaitoT. TsukadaK. YamadaTomoaki NakanoTatsuo ItoNoriko NishiyamaTatsuo Yachida
- Topics
- Esophageal and GI Pathology (11 papers)Gastric Cancer Management and Outcomes (11 papers)Metastasis and carcinoma case studies (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Vehicular TechnologySAE technical papers on CD-ROM/SAE technical paper series
- Partner nations
- JapanSwitzerland
In The Last Decade
Kazuhiro Kozuka
35 papers receiving 326 citations
Peers
Comparison fields: 5 of 61
- Computer Vision and Pattern Recognition 164
- Media Technology 158
- Pulmonary and Respiratory Medicine 54
- Surgery 49
- Artificial Intelligence 40
Countries citing papers authored by Kazuhiro Kozuka
This map shows the geographic impact of Kazuhiro Kozuka'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 Kazuhiro Kozuka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazuhiro Kozuka more than expected).
Fields of papers citing papers by Kazuhiro Kozuka
This network shows the impact of papers produced by Kazuhiro Kozuka. 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 Kazuhiro Kozuka. The network helps show where Kazuhiro Kozuka may publish in the future.
Co-authorship network of co-authors of Kazuhiro Kozuka
This figure shows the co-authorship network connecting the top 25 collaborators of Kazuhiro Kozuka. A scholar is included among the top collaborators of Kazuhiro Kozuka 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 Kazuhiro Kozuka. Kazuhiro Kozuka 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 | 2 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 7 | |
| 6 | 11 | |
| 7 | 4 | |
| 8 | 5 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 0 | |
| 12 | 1 | |
| 13 | 2 | |
| 14 | 1 | |
| 15 | 5 | |
| 16 | 1 | |
| 17 | A measurement of driver's behavior and a proposal of evaluation index of driver's concentration | 1 |
| 18 | Detection of Driver Gaze Direction and Considerations on its Application to Glance Away Detection using Image Processing | 3 |
| 19 | 14 | |
| 20 | 1 |
About Kazuhiro Kozuka
Kazuhiro Kozuka is a scholar working on Gastroenterology, Human-Computer Interaction and Fluid Flow and Transfer Processes, having authored 38 papers that have together received 369 indexed citations. Recurring topics across this work include Esophageal and GI Pathology (11 papers), Gastric Cancer Management and Outcomes (11 papers) and Metastasis and carcinoma case studies (5 papers). The work is most often cited by research in Media Technology (158 citations), Computer Vision and Pattern Recognition (164 citations) and Human-Computer Interaction (38 citations). Kazuhiro Kozuka has collaborated with scholars based in Japan and Switzerland. Frequent co-authors include Shin Yamamoto, Tomoki Naito, T. Tsukada, K. Yamada, Tomoaki Nakano, Tatsuo Ito, Noriko Nishiyama, Tatsuo Yachida, Naoya TADA and Hideki Kobara. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Vehicular Technology and SAE technical papers on CD-ROM/SAE technical paper series.
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.