Takashi Kanamaru
- Statistical and Nonlinear Physics top 5%
- Cognitive Neuroscience top 10%
- Computer Networks and Communications top 10%
- Artificial Intelligence
- Cellular and Molecular Neuroscience
- Co-authors
- Kazuyuki AiharaT. HoritaHideyuki SuzukiYuji ShinoharaHiroshi FujiiYasunori OkabeYoji OkabeH. Nishimura
- Topics
- Neural dynamics and brain function (19 papers)stochastic dynamics and bifurcation (17 papers)Nonlinear Dynamics and Pattern Formation (15 papers)
- Cited by
- Statistical and Nonlinear PhysicsCognitive NeuroscienceComputer Networks and Communications
- Partner nations
- JapanUnited States
In The Last Decade
Takashi Kanamaru
29 papers receiving 332 citations
Peers
Comparison fields: 5 of 63
- Statistical and Nonlinear Physics 228
- Cognitive Neuroscience 194
- Computer Networks and Communications 150
- Artificial Intelligence 51
- Cellular and Molecular Neuroscience 45
Countries citing papers authored by Takashi Kanamaru
This map shows the geographic impact of Takashi Kanamaru'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 Takashi Kanamaru with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takashi Kanamaru more than expected).
Fields of papers citing papers by Takashi Kanamaru
This network shows the impact of papers produced by Takashi Kanamaru. 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 Takashi Kanamaru. The network helps show where Takashi Kanamaru may publish in the future.
Co-authorship network of co-authors of Takashi Kanamaru
This figure shows the co-authorship network connecting the top 25 collaborators of Takashi Kanamaru. A scholar is included among the top collaborators of Takashi Kanamaru 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 Takashi Kanamaru. Takashi Kanamaru 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 | 4 | |
| 3 | 4 | |
| 4 | 7 | |
| 5 | 5 | |
| 6 | 15 | |
| 7 | 2 | |
| 8 | 12 | |
| 9 | 6 | |
| 10 | 10 | |
| 11 | 3 | |
| 12 | Hardware Object Model and Its Application to the Image Processing | 10 |
| 13 | 10 | |
| 14 | Hardware Object Model and Its Application to the Image Processing(Video/Image Coding)( Applications and Implementations of Digital Signal Processing) | 0 |
| 15 | Array-enhanced coherence resonance in the diffusively coupled active rotators and its analysis with the nonlinear Fokker-Planck equation | 2 |
| 16 | 17 | |
| 17 | 48 | |
| 18 | 24 | |
| 19 | 13 | |
| 20 | 9 |
About Takashi Kanamaru
Takashi Kanamaru is a scholar working on Statistical and Nonlinear Physics, Cognitive Neuroscience and Computer Networks and Communications, having authored 33 papers that have together received 349 indexed citations. Recurring topics across this work include Neural dynamics and brain function (19 papers), stochastic dynamics and bifurcation (17 papers) and Nonlinear Dynamics and Pattern Formation (15 papers). The work is most often cited by research in Statistical and Nonlinear Physics (228 citations), Cognitive Neuroscience (194 citations) and Computer Networks and Communications (150 citations). Takashi Kanamaru has collaborated with scholars based in Japan and United States. Frequent co-authors include Kazuyuki Aihara, T. Horita, Hideyuki Suzuki, Yuji Shinohara, Hiroshi Fujii, Yasunori Okabe, Yoji Okabe, H. Nishimura, Sou Nobukawa and Toru Akishita. Their work appears in journals such as PLoS ONE, Scientific Reports and Physics Letters A.
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.