Seiji Kobayashi
- Computer Vision and Pattern Recognition top 0.5%
- Atomic and Molecular Physics, and Optics top 2%
- Biomedical Engineering top 5%
- Electrical and Electronic Engineering top 5%
- Mechanical Engineering top 2%
- Co-authors
- Mitsuo TakedaHideki InaKeiji MiyataKen‐ichi IkedaChikao MorimotoAkira TODOROKIToshimitsu YamadaRyosuke Matsuzaki
- Topics
- Semiconductor Lasers and Optical Devices (12 papers)Phase-change materials and chalcogenides (10 papers)Marine Biology and Environmental Chemistry (6 papers)
- Cited by
- Computer Vision and Pattern RecognitionMedia TechnologyAtomic and Molecular Physics, and Optics
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistrySHILAP Revista de lepidopterología
- Partner nations
- JapanUnited StatesTaiwan
In The Last Decade
Seiji Kobayashi
93 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 175
- Computer Vision and Pattern Recognition 2.0k
- Atomic and Molecular Physics, and Optics 1.5k
- Biomedical Engineering 842
- Electrical and Electronic Engineering 829
- Mechanical Engineering 803
Countries citing papers authored by Seiji Kobayashi
This map shows the geographic impact of Seiji Kobayashi'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 Seiji Kobayashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seiji Kobayashi more than expected).
Fields of papers citing papers by Seiji Kobayashi
This network shows the impact of papers produced by Seiji Kobayashi. 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 Seiji Kobayashi. The network helps show where Seiji Kobayashi may publish in the future.
Co-authorship network of co-authors of Seiji Kobayashi
This figure shows the co-authorship network connecting the top 25 collaborators of Seiji Kobayashi. A scholar is included among the top collaborators of Seiji Kobayashi 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 Seiji Kobayashi. Seiji Kobayashi 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 | 8 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 0 | |
| 10 | 0 | |
| 11 | 56 | |
| 12 | 30 | |
| 13 | 110 | |
| 14 | 2 | |
| 15 | 51 | |
| 16 | 45 | |
| 17 | 8 | |
| 18 | 3 | |
| 19 | 26 | |
| 20 | 1 |
About Seiji Kobayashi
Seiji Kobayashi is a scholar working on Urology, Nephrology and Gastroenterology, having authored 108 papers that have together received 5.5k indexed citations. Recurring topics across this work include Semiconductor Lasers and Optical Devices (12 papers), Phase-change materials and chalcogenides (10 papers) and Marine Biology and Environmental Chemistry (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.0k citations), Media Technology (734 citations) and Atomic and Molecular Physics, and Optics (1.5k citations). Seiji Kobayashi has collaborated with scholars based in Japan, United States and Taiwan. Frequent co-authors include Mitsuo Takeda, Hideki Ina, Keiji Miyata, Ken‐ichi Ikeda, Chikao Morimoto, Akira TODOROKI, Toshimitsu Yamada, Ryosuke Matsuzaki, Nam H. Dang and Kei Ohnuma. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.
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.