Toshiya Nakaguchi
- Computer Vision and Pattern Recognition top 5%
- Oncology
- Molecular Biology
- Complementary and alternative medicine top 5%
- Public Health, Environmental and Occupational Health
- Co-authors
- Norimichi TsumuraYoichi MiyakePing XuanOsama OudaTiangang ZhangToru OkuyamaTatsuo AkechiTakao Namiki
- Topics
- Color Science and Applications (27 papers)Advanced Vision and Imaging (19 papers)Image Enhancement Techniques (19 papers)
In The Last Decade
Toshiya Nakaguchi
171 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 129
- Computer Vision and Pattern Recognition 315
- Oncology 182
- Molecular Biology 177
- Complementary and alternative medicine 146
- Public Health, Environmental and Occupational Health 130
Countries citing papers authored by Toshiya Nakaguchi
This map shows the geographic impact of Toshiya Nakaguchi'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 Toshiya Nakaguchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toshiya Nakaguchi more than expected).
Fields of papers citing papers by Toshiya Nakaguchi
This network shows the impact of papers produced by Toshiya Nakaguchi. 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 Toshiya Nakaguchi. The network helps show where Toshiya Nakaguchi may publish in the future.
Co-authorship network of co-authors of Toshiya Nakaguchi
This figure shows the co-authorship network connecting the top 25 collaborators of Toshiya Nakaguchi. A scholar is included among the top collaborators of Toshiya Nakaguchi 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 Toshiya Nakaguchi. Toshiya Nakaguchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 8 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 5 | |
| 11 | 1 | |
| 12 | 13 | |
| 13 | 6 | |
| 14 | 25 | |
| 15 | 1 | |
| 16 | 2 | |
| 17 | A study on biological effects of OLED lightings for workspace | 1 |
| 18 | 2 | |
| 19 | 0 | |
| 20 | 1 |
About Toshiya Nakaguchi
Toshiya Nakaguchi is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Complementary and alternative medicine, having authored 192 papers that have together received 1.2k indexed citations. Recurring topics across this work include Color Science and Applications (27 papers), Advanced Vision and Imaging (19 papers) and Image Enhancement Techniques (19 papers). The work is most often cited by research in Complementary and alternative medicine (146 citations), Computer Vision and Pattern Recognition (315 citations) and Signal Processing (122 citations). Toshiya Nakaguchi has collaborated with scholars based in Japan, China and Australia. Frequent co-authors include Norimichi Tsumura, Yoichi Miyake, Ping Xuan, Osama Ouda, Tiangang Zhang, Toru Okuyama, Tatsuo Akechi, Takao Namiki, Megumi Uchida and Hui Cui. Their work appears in journals such as Bioinformatics, Gastroenterology and Scientific Reports.
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.