Mei Kobayashi
- Information Systems top 5%
- Artificial Intelligence top 10%
- Signal Processing top 10%
- Computer Networks and Communications top 10%
- Mathematical Physics top 10%
- Co-authors
- Koichi TakedaMasaki AonoGeorges DupretOliver D. KingHironori TakeuchiRaima LarterHerschel RabitzKunihiko Naito
- Topics
- Spectral Theory in Mathematical Physics (6 papers)Quantum chaos and dynamical systems (3 papers)Matrix Theory and Algorithms (3 papers)
- Journals
- Proceedings of the National Academy of SciencesThe Journal of Chemical PhysicsScientific Reports
- Partner nations
- JapanUnited States
In The Last Decade
Mei Kobayashi
17 papers receiving 387 citations
Peers
Comparison fields: 5 of 80
- Information Systems 229
- Artificial Intelligence 184
- Signal Processing 85
- Computer Networks and Communications 76
- Mathematical Physics 57
Countries citing papers authored by Mei Kobayashi
This map shows the geographic impact of Mei 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 Mei Kobayashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mei Kobayashi more than expected).
Fields of papers citing papers by Mei Kobayashi
This network shows the impact of papers produced by Mei 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 Mei Kobayashi. The network helps show where Mei Kobayashi may publish in the future.
Co-authorship network of co-authors of Mei Kobayashi
This figure shows the co-authorship network connecting the top 25 collaborators of Mei Kobayashi. A scholar is included among the top collaborators of Mei 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 Mei Kobayashi. Mei 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 | 8 | |
| 2 | 1 | |
| 3 | 8 | |
| 4 | Data Stream Mining: selected tools & algorithms (Numerical Analysis and New Information Technology) | 1 |
| 5 | 8 | |
| 6 | 15 | |
| 7 | 1 | |
| 8 | 338 | |
| 9 | 8 | |
| 10 | 1 | |
| 11 | 7 | |
| 12 | 9 | |
| 13 | 20 | |
| 14 | 13 | |
| 15 | 1 | |
| 16 | DISCONTINUOUS INVERSE STURM-LIOUVILLE PROBLEMS WITH SYMMETRIC POTENTIALS | 6 |
| 17 | 6 | |
| 18 | [Kinetics of Langerhans cells in inductive phase of contact sensitivity]. | 3 |
About Mei Kobayashi
Mei Kobayashi is a scholar working on Mathematical Physics, Statistical and Nonlinear Physics and Computational Theory and Mathematics, having authored 18 papers that have together received 454 indexed citations. Recurring topics across this work include Spectral Theory in Mathematical Physics (6 papers), Quantum chaos and dynamical systems (3 papers) and Matrix Theory and Algorithms (3 papers). The work is most often cited by research in Information Systems (229 citations), Signal Processing (85 citations) and Mathematical Physics (57 citations). Mei Kobayashi has collaborated with scholars based in Japan and United States. Frequent co-authors include Koichi Takeda, Masaki Aono, Georges Dupret, Oliver D. King, Hironori Takeuchi, Raima Larter, Herschel Rabitz, Kunihiko Naito, Chihiro Emori and Koji Sugiura. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Chemical Physics 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.