Kunihiko Kaneko
- Statistical and Nonlinear Physics top 0.05%
- Computer Networks and Communications top 0.2%
- Molecular Biology top 2%
- Genetics top 1%
- Cognitive Neuroscience top 2%
- Co-authors
- Chikara FurusawaTetsuya YomoWentian LiIchiro TsudaTetsuro KonishiJames P. CrutchfieldAkiko KashiwagiYuichi Togashi
- Topics
- Gene Regulatory Network Analysis (95 papers)Evolution and Genetic Dynamics (83 papers)Nonlinear Dynamics and Pattern Formation (70 papers)
- Cited by
- Statistical and Nonlinear PhysicsComputer Networks and CommunicationsCondensed Matter Physics
- Partner nations
- JapanUnited StatesDenmark
In The Last Decade
Kunihiko Kaneko
326 papers receiving 11.1k citations
Hit Papers
Peers
Comparison fields: 5 of 190
- Statistical and Nonlinear Physics 4.7k
- Computer Networks and Communications 3.8k
- Molecular Biology 3.6k
- Genetics 1.5k
- Cognitive Neuroscience 1.2k
Countries citing papers authored by Kunihiko Kaneko
This map shows the geographic impact of Kunihiko Kaneko'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 Kunihiko Kaneko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kunihiko Kaneko more than expected).
Fields of papers citing papers by Kunihiko Kaneko
This network shows the impact of papers produced by Kunihiko Kaneko. 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 Kunihiko Kaneko. The network helps show where Kunihiko Kaneko may publish in the future.
Co-authorship network of co-authors of Kunihiko Kaneko
This figure shows the co-authorship network connecting the top 25 collaborators of Kunihiko Kaneko. A scholar is included among the top collaborators of Kunihiko Kaneko 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 Kunihiko Kaneko. Kunihiko Kaneko 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 | 0 | |
| 3 | 0 | |
| 4 | 12 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 34 | |
| 9 | 7 | |
| 10 | 24 | |
| 11 | 109 | |
| 12 | An Estimating Model of Node Accesses for INN Search Algorithm in Multidimensional Spaces | 0 |
| 13 | Life: An Introduction to Complex Systems Biology (Understanding Complex Systems) | 21 |
| 14 | 12 | |
| 15 | Symbiotic sympatric speciation through interaction-driven phenotype differentiation | 4 |
| 16 | Two Fast Algorithms for Repeated Mining of Association Rules Based on Ressource Reuse. | 1 |
| 17 | 6 | |
| 18 | Imitation Games | 1 |
| 19 | 2 | |
| 20 | Complexity in Basin Structures and Information Processing by the Transition among Attractors | 1 |
About Kunihiko Kaneko
Kunihiko Kaneko is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Genetics, having authored 342 papers that have together received 11.5k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (95 papers), Evolution and Genetic Dynamics (83 papers) and Nonlinear Dynamics and Pattern Formation (70 papers). The work is most often cited by research in Statistical and Nonlinear Physics (4.7k citations), Computer Networks and Communications (3.8k citations) and Condensed Matter Physics (1.1k citations). Kunihiko Kaneko has collaborated with scholars based in Japan, United States and Denmark. Frequent co-authors include Chikara Furusawa, Tetsuya Yomo, Wentian Li, Ichiro Tsuda, Tetsuro Konishi, James P. Crutchfield, Akiko Kashiwagi, Yuichi Togashi, Nobuto Takeuchi and Shuji Ishihara. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Physical Review Letters.
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.