Takashi Kohno

726 total citations
79 papers, 495 citations indexed

About

Takashi Kohno is a scholar working on Electrical and Electronic Engineering, Cognitive Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Takashi Kohno has authored 79 papers receiving a total of 495 indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Electrical and Electronic Engineering, 23 papers in Cognitive Neuroscience and 19 papers in Cellular and Molecular Neuroscience. Recurrent topics in Takashi Kohno's work include Advanced Memory and Neural Computing (38 papers), Neural dynamics and brain function (22 papers) and Neuroscience and Neural Engineering (17 papers). Takashi Kohno is often cited by papers focused on Advanced Memory and Neural Computing (38 papers), Neural dynamics and brain function (22 papers) and Neuroscience and Neural Engineering (17 papers). Takashi Kohno collaborates with scholars based in Japan, France and United States. Takashi Kohno's co-authors include Kazuyuki Aihara, Timothée Levi, Jing Li, Takanori Fukao, Munehisa Sekikawa, Yuichi Katori, Takateru Urakubo, Kenichi Arai, S. Yabukami and S. Hashi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neurocomputing and Journal of Magnetism and Magnetic Materials.

In The Last Decade

Takashi Kohno

73 papers receiving 467 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Takashi Kohno Japan 14 289 192 131 118 102 79 495
Scott Koziol United States 13 329 1.1× 116 0.6× 96 0.7× 93 0.8× 58 0.6× 43 501
Xuhui Huang China 11 285 1.0× 246 1.3× 68 0.5× 178 1.5× 16 0.2× 51 561
Sergey A. Lobov Russia 13 369 1.3× 338 1.8× 265 2.0× 103 0.9× 13 0.1× 43 712
Karthik Narayanan United States 11 150 0.5× 215 1.1× 65 0.5× 49 0.4× 39 0.4× 42 625
Martin Litzenberger Austria 19 696 2.4× 91 0.5× 121 0.9× 63 0.5× 73 0.7× 69 917
Philippe O. Pouliquen United States 13 515 1.8× 114 0.6× 106 0.8× 163 1.4× 63 0.6× 65 787
Brian Degnan United States 10 376 1.3× 55 0.3× 44 0.3× 80 0.7× 52 0.5× 28 420
Christoph Rasche Romania 12 125 0.4× 219 1.1× 79 0.6× 49 0.4× 25 0.2× 38 388
Rajeev Kumar Ranjan India 18 917 3.2× 111 0.6× 459 3.5× 118 1.0× 38 0.4× 91 1.1k
K. Strohbehn United States 10 372 1.3× 62 0.3× 79 0.6× 101 0.9× 39 0.4× 38 499

Countries citing papers authored by Takashi Kohno

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Kohno, Takashi, et al.. (2024). Biomimetic snake locomotion using central pattern generators network and bio-hybrid robot perspective. Artificial Life and Robotics. 29(4). 479–485. 3 indexed citations
2.
Kohno, Takashi, et al.. (2023). Adaptive STDP Learning with Lateral Inhibition for Neuromorphic Systems. Proceedings of International Conference on Artificial Life and Robotics. 28. 289–292. 1 indexed citations
3.
Kohno, Takashi, et al.. (2021). An Adaptive STDP Learning Rule for Neuromorphic Systems. Frontiers in Neuroscience. 15. 741116–741116. 9 indexed citations
4.
Kohno, Takashi, et al.. (2020). Towards Modeling Cholinergic Modulation for Neuromorphic Computing. Proceedings of International Conference on Artificial Life and Robotics. 25. 159–162.
5.
Kohno, Takashi, et al.. (2018). A Metaheuristic Approach for Parameter Fitting in Digital Spiking Silicon Neuron Model. Proceedings of International Conference on Artificial Life and Robotics. 23. 465–468.
6.
Kohno, Takashi, et al.. (2017). A parameter optimization method for Digital Spiking Silicon Neuron model. Proceedings of International Conference on Artificial Life and Robotics. 22. 140–143. 1 indexed citations
7.
Kohno, Takashi, et al.. (2017). A Multistage Heuristic Tuning Algorithm for an Analog Silicon Neuron Circuit. Journal of Robotics Networking and Artificial Life. 4(1). 58–58. 1 indexed citations
8.
Kohno, Takashi, et al.. (2016). Qualitative-Modeling-Based Silicon Neurons and Their Networks. Frontiers in Neuroscience. 10. 273–273. 24 indexed citations
9.
Kohno, Takashi, et al.. (2016). Simple Cortical and Thalamic Neuron Models for Digital Arithmetic Circuit Implementation. Frontiers in Neuroscience. 10. 181–181. 18 indexed citations
10.
Kohno, Takashi, Jing Li, & Kazuyuki Aihara. (2014). Silicon neuronal networks towards brain-morphic computers. Nonlinear Theory and Its Applications IEICE. 5(3). 379–390. 8 indexed citations
11.
Kohno, Takashi & Kazuyuki Aihara. (2013). Improving noise resistance of intrinsic rhythms in a square-wave burster model. Biosystems. 112(3). 276–283. 1 indexed citations
12.
Fukao, Takanori, et al.. (2011). Hovering Control of Outdoor Blimp Robots Based on Path Following. Journal of Robotics and Mechatronics. 23(2). 207–214. 7 indexed citations
13.
Kohno, Takashi & Kazuyuki Aihara. (2010). A mathematical-structure-based aVLSI silicon neuron model. 44. 3 indexed citations
14.
Hada, Yasushi, Osamu Takizawa, Takashi Kohno, et al.. (2008). 1A1-F16 Outdoor experimental result of information acquisition using intelligent sensor nodes and an autonomous blimp. The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2008(0). _1A1–F16_1. 1 indexed citations
15.
Fukao, Takanori, et al.. (2008). Inverse Optimal Velocity Field Control of an Outdoor Blimp Robot. 17(1). 4374–4379. 7 indexed citations
16.
Kohno, Takashi, et al.. (2008). On-Going UAV R&D at JAXA's Aviation Program Group - With Emphasis on LTA Flight Test. 3 indexed citations
17.
Yasuda, Masami, Feng-Lei Hong, Takashi Kohno, et al.. (2007). Present Status of the Development of the Yb Optical Lattice Clock at NMIJ/AIST. 96. 145–146. 2 indexed citations
18.
Kohno, Takashi, et al.. (2005). 2A1-S-062 Flight Control in Low Altitude Stationary Flight Test for Stratospheric Platforms(Flying Robot 3,Mega-Integration in Robotics and Mechatronics to Assist Our Daily Lives). The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2005(0). 177–177. 1 indexed citations
19.
Yabukami, S., S. Hashi, T. Ozawa, et al.. (2005). Development of a Position-Sensing System for a Wireless Magnetic Marker Using a Differential Pickup Coil. Journal of the Magnetics Society of Japan. 29(2). 146–152. 3 indexed citations
20.
Sawada, Hideo, et al.. (1998). Pressure fluctuation measurements in the NAL 0.2-m supersonic wind tunnel. 36th AIAA Aerospace Sciences Meeting and Exhibit. 7 indexed citations

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.

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