Takashi Kohno
- Electrical and Electronic Engineering
- Cognitive Neuroscience top 10%
- Cellular and Molecular Neuroscience top 10%
- Artificial Intelligence top 10%
- Aerospace Engineering top 10%
- Co-authors
- Kazuyuki AiharaTimothée LeviJing LiTakanori FukaoMunehisa SekikawaTakateru UrakuboYuichi KatoriS. Hashi
- Topics
- Advanced Memory and Neural Computing (38 papers)Neural dynamics and brain function (22 papers)Neuroscience and Neural Engineering (17 papers)
- Cited by
- Cognitive NeuroscienceCellular and Molecular NeuroscienceElectrical and Electronic Engineering
- Journals
- SHILAP Revista de lepidopterologíaNeurocomputingJournal of Magnetism and Magnetic Materials
- Partner nations
- JapanFranceUnited States
In The Last Decade
Takashi Kohno
73 papers receiving 467 citations
Peers
Comparison fields: 5 of 64
- Electrical and Electronic Engineering 289
- Cognitive Neuroscience 192
- Cellular and Molecular Neuroscience 131
- Artificial Intelligence 118
- Aerospace Engineering 102
Countries citing papers authored by Takashi Kohno
This map shows the geographic impact of Takashi Kohno'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 Kohno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takashi Kohno more than expected).
Fields of papers citing papers by Takashi Kohno
This network shows the impact of papers produced by Takashi Kohno. 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 Kohno. The network helps show where Takashi Kohno may publish in the future.
Co-authorship network of co-authors of Takashi Kohno
This figure shows the co-authorship network connecting the top 25 collaborators of Takashi Kohno. A scholar is included among the top collaborators of Takashi Kohno 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 Kohno. Takashi Kohno is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 9 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 24 | |
| 9 | 18 | |
| 10 | 17 | |
| 11 | 1 | |
| 12 | 17 | |
| 13 | 7 | |
| 14 | A mathematical-structure-based aVLSI silicon neuron model | 3 |
| 15 | 1 | |
| 16 | Inverse Optimal Velocity Field Control of an Outdoor Blimp Robot | 7 |
| 17 | On-Going UAV R&D at JAXA's Aviation Program Group - With Emphasis on LTA Flight Test | 3 |
| 18 | 1 | |
| 19 | 3 | |
| 20 | 32 |
About Takashi Kohno
Takashi Kohno is a scholar working on Statistical and Nonlinear Physics, Cognitive Neuroscience and Cellular and Molecular Neuroscience, having authored 79 papers that have together received 495 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (38 papers), Neural dynamics and brain function (22 papers) and Neuroscience and Neural Engineering (17 papers). The work is most often cited by research in Cognitive Neuroscience (192 citations), Cellular and Molecular Neuroscience (131 citations) and Electrical and Electronic Engineering (289 citations). Takashi Kohno has collaborated with scholars based in Japan, France and United States. Frequent co-authors include Kazuyuki Aihara, Timothée Levi, Jing Li, Takanori Fukao, Munehisa Sekikawa, Takateru Urakubo, Yuichi Katori, S. Hashi, Kenichi Arai and Yasushi Okazaki. Their work appears in journals such as SHILAP Revista de lepidopterología, Neurocomputing and Journal of Magnetism and Magnetic 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.