Satoshi Kobayashi
- Molecular Biology
- Materials Chemistry
- Artificial Intelligence top 10%
- Biomedical Engineering
- Atomic and Molecular Physics, and Optics
- Co-authors
- Takashi YokomoriMasami HagiyaSatoshi MurataAkihiko KonagayaHirohide SaitoMasanori AritaY UemuraAki Hasegawa
- Topics
- DNA and Biological Computing (21 papers)Advanced biosensing and bioanalysis techniques (15 papers)semigroups and automata theory (9 papers)
In The Last Decade
Satoshi Kobayashi
64 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 115
- Molecular Biology 619
- Materials Chemistry 261
- Artificial Intelligence 181
- Biomedical Engineering 175
- Atomic and Molecular Physics, and Optics 136
Countries citing papers authored by Satoshi Kobayashi
This map shows the geographic impact of Satoshi 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 Satoshi Kobayashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Satoshi Kobayashi more than expected).
Fields of papers citing papers by Satoshi Kobayashi
This network shows the impact of papers produced by Satoshi 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 Satoshi Kobayashi. The network helps show where Satoshi Kobayashi may publish in the future.
Co-authorship network of co-authors of Satoshi Kobayashi
This figure shows the co-authorship network connecting the top 25 collaborators of Satoshi Kobayashi. A scholar is included among the top collaborators of Satoshi 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 Satoshi Kobayashi. Satoshi 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 | 6 | |
| 2 | 24 | |
| 3 | 3 | |
| 4 | 258 | |
| 5 | 11 | |
| 6 | 1 | |
| 7 | 116 | |
| 8 | Scene Segmentation Method for Folktales based on Place, Time and Cast | 2 |
| 9 | 32 | |
| 10 | Grammatical Inference: Algorithms and Applications: 8th International Colloquium, ICGI 2006, Tokyo, Japan, September 20-22, 2006, Proceedings (Lecture Notes in Computer Science) | 1 |
| 11 | 1 | |
| 12 | 2 | |
| 13 | 91 | |
| 14 | 31 | |
| 15 | 6 | |
| 16 | Learning Local Languages and its Application to Protein \alpha-Chain Identification. | 6 |
| 17 | 10 | |
| 18 | 2 | |
| 19 | 1 | |
| 20 | Note on many valued logic. | 1 |
About Satoshi Kobayashi
Satoshi Kobayashi is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Molecular Biology, having authored 74 papers that have together received 1.2k indexed citations. Recurring topics across this work include DNA and Biological Computing (21 papers), Advanced biosensing and bioanalysis techniques (15 papers) and semigroups and automata theory (9 papers). The work is most often cited by research in Molecular Biology (619 citations), Computational Theory and Mathematics (124 citations) and Geophysics (78 citations). Satoshi Kobayashi has collaborated with scholars based in Japan, Romania and Spain. Frequent co-authors include Takashi Yokomori, Masami Hagiya, Satoshi Murata, Akihiko Konagaya, Hirohide Saito, Masanori Arita, Y Uemura, Aki Hasegawa, Norikazu Mizuochi and Fedor Jelezko. Their work appears in journals such as Accounts of Chemical Research, IEEE Transactions on Pattern Analysis and Machine Intelligence and Advanced Functional Materials.
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.