Sou Nobukawa
- Cognitive Neuroscience top 2%
- Statistical and Nonlinear Physics top 2%
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Cellular and Molecular Neuroscience
- Co-authors
- H. NishimuraTeruya YamanishiTetsuya TakahashiMitsuru KikuchiNobuhiko WagatsumaJian‐Qin LiuYuji WadaKeiichiro Inagaki
- Topics
- Neural dynamics and brain function (68 papers)stochastic dynamics and bifurcation (40 papers)Functional Brain Connectivity Studies (25 papers)
- Cited by
- Cognitive NeuroscienceStatistical and Nonlinear PhysicsComputer Networks and Communications
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONENeuroImage
In The Last Decade
Sou Nobukawa
81 papers receiving 862 citations
Peers
Comparison fields: 5 of 70
- Cognitive Neuroscience 670
- Statistical and Nonlinear Physics 377
- Computer Networks and Communications 187
- Electrical and Electronic Engineering 123
- Cellular and Molecular Neuroscience 92
Countries citing papers authored by Sou Nobukawa
This map shows the geographic impact of Sou Nobukawa'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 Sou Nobukawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sou Nobukawa more than expected).
Fields of papers citing papers by Sou Nobukawa
This network shows the impact of papers produced by Sou Nobukawa. 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 Sou Nobukawa. The network helps show where Sou Nobukawa may publish in the future.
Co-authorship network of co-authors of Sou Nobukawa
This figure shows the co-authorship network connecting the top 25 collaborators of Sou Nobukawa. A scholar is included among the top collaborators of Sou Nobukawa 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 Sou Nobukawa. Sou Nobukawa 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 | 2 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 19 | |
| 15 | 6 | |
| 16 | 14 | |
| 17 | 9 | |
| 18 | 45 | |
| 19 | Characteristic of signal response in coupled inferior olive neurons with Velarde-Llinás model | 5 |
| 20 | Signal response efficiency in Izhikevich neuron model | 3 |
About Sou Nobukawa
Sou Nobukawa is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics and Computer Networks and Communications, having authored 95 papers that have together received 875 indexed citations. Recurring topics across this work include Neural dynamics and brain function (68 papers), stochastic dynamics and bifurcation (40 papers) and Functional Brain Connectivity Studies (25 papers). The work is most often cited by research in Cognitive Neuroscience (670 citations), Statistical and Nonlinear Physics (377 citations) and Computer Networks and Communications (187 citations). Sou Nobukawa has collaborated with scholars based in Japan, India and Indonesia. Frequent co-authors include H. Nishimura, Teruya Yamanishi, Tetsuya Takahashi, Mitsuru Kikuchi, Nobuhiko Wagatsuma, Jian‐Qin Liu, Yuji Wada, Keiichiro Inagaki, Takashi Ikeda and Chiaki Hasegawa. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.
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.