Kiyoshi Kotani

952 total citations
44 papers, 755 citations indexed

About

Kiyoshi Kotani is a scholar working on Cognitive Neuroscience, Computer Networks and Communications and Cellular and Molecular Neuroscience. According to data from OpenAlex, Kiyoshi Kotani has authored 44 papers receiving a total of 755 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cognitive Neuroscience, 16 papers in Computer Networks and Communications and 11 papers in Cellular and Molecular Neuroscience. Recurrent topics in Kiyoshi Kotani's work include Neural dynamics and brain function (21 papers), Nonlinear Dynamics and Pattern Formation (16 papers) and stochastic dynamics and bifurcation (10 papers). Kiyoshi Kotani is often cited by papers focused on Neural dynamics and brain function (21 papers), Nonlinear Dynamics and Pattern Formation (16 papers) and stochastic dynamics and bifurcation (10 papers). Kiyoshi Kotani collaborates with scholars based in Japan, United States and China. Kiyoshi Kotani's co-authors include Hiroko Sasaki, Masaho Ishino, Hirotoshi Tobioka, Terukatsu Sasaki, Yasuhiko Jimbo, Yoshiharu Yamamoto, Kiyoshi Takamasu, Hiroya Nakao, Yosef Ashkenazy and H. Eugene Stanley and has published in prestigious journals such as Physical Review Letters, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Kiyoshi Kotani

34 papers receiving 731 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kiyoshi Kotani Japan 13 265 222 147 124 117 44 755
Seth H. Weinberg United States 20 805 3.0× 33 0.1× 84 0.6× 132 1.1× 482 4.1× 87 1.5k
Xiaohan Zhao China 13 427 1.6× 37 0.2× 13 0.1× 150 1.2× 45 0.4× 32 880
David Ko United States 20 153 0.6× 14 0.1× 186 1.3× 49 0.4× 41 0.4× 38 1.5k
Qi Pan China 14 768 2.9× 33 0.1× 14 0.1× 73 0.6× 17 0.1× 35 1.1k
Mathilde Badoual France 17 296 1.1× 6 0.0× 362 2.5× 198 1.6× 24 0.2× 40 1.4k
Xiaoying Tang China 19 147 0.6× 20 0.1× 164 1.1× 37 0.3× 16 0.1× 113 1.4k
Dagmar Krefting Germany 14 61 0.2× 8 0.0× 100 0.7× 65 0.5× 66 0.6× 105 1.0k
Luca Bologna Italy 16 259 1.0× 17 0.1× 457 3.1× 14 0.1× 11 0.1× 27 1.4k
Ning Lin China 14 94 0.4× 15 0.1× 31 0.2× 22 0.2× 53 0.5× 73 649
Thomas Maiwald Germany 15 535 2.0× 5 0.0× 581 4.0× 38 0.3× 87 0.7× 19 1.4k

Countries citing papers authored by Kiyoshi Kotani

Since Specialization
Citations

This map shows the geographic impact of Kiyoshi Kotani'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 Kiyoshi Kotani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kiyoshi Kotani more than expected).

Fields of papers citing papers by Kiyoshi Kotani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kiyoshi Kotani. 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 Kiyoshi Kotani. The network helps show where Kiyoshi Kotani may publish in the future.

Co-authorship network of co-authors of Kiyoshi Kotani

This figure shows the co-authorship network connecting the top 25 collaborators of Kiyoshi Kotani. A scholar is included among the top collaborators of Kiyoshi Kotani 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 Kiyoshi Kotani. Kiyoshi Kotani 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.
Miyahara, Yuki, Kenta Shimba, Kiyoshi Kotani, & Yasuhiko Jimbo. (2025). Sensory-spinal neuron co-culture platform enables analysis of sensory-driven spinal activation. Frontiers in Neuroscience. 19. 1619340–1619340.
2.
Shimba, Kenta, et al.. (2024). Revealing single-neuron and network-activity interaction by combining high-density microelectrode array and optogenetics. Nature Communications. 15(1). 9547–9547. 8 indexed citations
3.
Jimbo, Yasuhiko, et al.. (2024). Analyzing top-down visual attention in the context of gamma oscillations: a layer- dependent network-of- networks approach. Frontiers in Computational Neuroscience. 18. 1439632–1439632.
4.
Kotani, Kiyoshi, et al.. (2023). Controlling fluidic oscillator flow dynamics by elastic structure vibration. Scientific Reports. 13(1). 8852–8852. 8 indexed citations
5.
Iijima, Keiya, et al.. (2023). Auditory stimulus reconstruction from ECoG with DNN and self-attention modules. Biomedical Signal Processing and Control. 89. 105761–105761. 2 indexed citations
6.
Kotani, Kiyoshi, et al.. (2023). Analysis of a Neural Population Model for Interaction of LFP and Individual Action Potential. IEEJ Transactions on Electrical and Electronic Engineering. 18(4). 597–604. 1 indexed citations
7.
Kotani, Kiyoshi, et al.. (2022). High-speed liquid crystal display simulation using parallel reservoir computing approach. Japanese Journal of Applied Physics. 61(8). 87001–87001. 3 indexed citations
8.
Kotani, Kiyoshi, et al.. (2021). Distinct effects of heterogeneity and noise on gamma oscillation in a model of neuronal network with different reversal potential. Scientific Reports. 11(1). 12960–12960. 8 indexed citations
9.
Kotani, Kiyoshi, et al.. (2020). Mathematical analysis of multiple spike time series synchronized in phase with collective theta wave using neural cell model. Electronics and Communications in Japan. 104(1). 95–102.
10.
Kotani, Kiyoshi, et al.. (2020). Bifurcation of the neuronal population dynamics of the modified theta model: Transition to macroscopic gamma oscillation. Physica D Nonlinear Phenomena. 416. 132789–132789. 2 indexed citations
11.
Kotani, Kiyoshi, et al.. (2017). Deriving theoretical phase locking values of a coupled cortico-thalamic neural mass model using center manifold reduction. Journal of Computational Neuroscience. 42(3). 231–243.
12.
Kotani, Kiyoshi, et al.. (2014). Extraction of Response Waveforms of Heartbeat and Blood Pressure to Swallowing. Methods of Information in Medicine. 54(2). 179–188. 1 indexed citations
13.
Kotani, Kiyoshi, et al.. (2013). High‐Accuracy Extraction of Respiratory Sinus Arrhythmia with Statistical Processing Using Normal Distribution. Electronics and Communications in Japan. 96(9). 23–32. 1 indexed citations
14.
Kotani, Kiyoshi, et al.. (2012). Adjoint Method Provides Phase Response Functions for Delay-Induced Oscillations. Physical Review Letters. 109(4). 44101–44101. 41 indexed citations
15.
Nakao, Hiroya, et al.. (2012). Corticothalamic Model with Time Delay Reduced to a Real Ginzburg-Landau Equation. IEEJ Transactions on Electronics Information and Systems. 132(10). 1563–1574.
16.
Jimbo, Yasuhiko, et al.. (2011). Reduction Theories Elucidate the Origins of Complex Biological Rhythms Generated by Interacting Delay-Induced Oscillations. PLoS ONE. 6(11). e26497–e26497. 21 indexed citations
17.
Kotani, Kiyoshi, Kiyoshi Takamasu, Yasuhiko Jimbo, & Yoshiharu Yamamoto. (2008). Postural-induced phase shift of respiratory sinus arrhythmia and blood pressure variations: insight from respiratory-phase domain analysis. American Journal of Physiology-Heart and Circulatory Physiology. 294(3). H1481–H1489. 20 indexed citations
18.
Otake, Mihoko, Shinji Sako, Masao Sugi, et al.. (2006). Autonomous Collaborative Environment for Project Based Learning.. 756–763. 1 indexed citations
19.
Kotani, Kiyoshi, Asato Kuroiwa, Tamao Saito, et al.. (2001). Cloning, Chromosomal Mapping, and Characteristic 5′-UTR Sequence of Murine Cytosolic Sialidase. Biochemical and Biophysical Research Communications. 286(2). 250–258. 26 indexed citations
20.
Sasaki, Hiroko, et al.. (1995). Cloning and Characterization of Cell Adhesion Kinase β, a Novel Protein-tyrosine Kinase of the Focal Adhesion Kinase Subfamily. Journal of Biological Chemistry. 270(36). 21206–21219. 351 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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