Ryota Kobayashi

2.0k total citations
78 papers, 1.3k citations indexed

About

Ryota Kobayashi is a scholar working on Electrical and Electronic Engineering, Cognitive Neuroscience and Statistical and Nonlinear Physics. According to data from OpenAlex, Ryota Kobayashi has authored 78 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Electrical and Electronic Engineering, 23 papers in Cognitive Neuroscience and 19 papers in Statistical and Nonlinear Physics. Recurrent topics in Ryota Kobayashi's work include Neural dynamics and brain function (22 papers), stochastic dynamics and bifurcation (12 papers) and Electromagnetic Compatibility and Noise Suppression (10 papers). Ryota Kobayashi is often cited by papers focused on Neural dynamics and brain function (22 papers), stochastic dynamics and bifurcation (12 papers) and Electromagnetic Compatibility and Noise Suppression (10 papers). Ryota Kobayashi collaborates with scholars based in Japan, Czechia and United States. Ryota Kobayashi's co-authors include Shigeru Shinomoto, Katsunori Kitano, Nobuo Kuwabara, Keisuke Tajima, Toshiyuki Enomoto, Tatsuya Sugihara, Renaud Lambiotte, Takeshi Okumura, Katsuyoshi Oh‐ishi and Alexander Rauch and has published in prestigious journals such as Physical Review Letters, Nature Communications and Physical Review B.

In The Last Decade

Ryota Kobayashi

72 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryota Kobayashi Japan 18 394 372 246 214 204 78 1.3k
Jiang‐Xing Chen China 20 162 0.4× 158 0.4× 55 0.2× 60 0.3× 32 0.2× 67 1.1k
Andreas Amann Ireland 28 285 0.7× 909 2.4× 34 0.1× 383 1.8× 263 1.3× 106 2.7k
Alain Nogaret United Kingdom 20 201 0.5× 610 1.6× 136 0.6× 28 0.1× 71 0.3× 104 1.7k
Xianqing Yang China 16 168 0.4× 107 0.3× 68 0.3× 39 0.2× 100 0.5× 52 757
R. J. Prance United Kingdom 23 255 0.6× 345 0.9× 110 0.4× 86 0.4× 28 0.1× 131 1.8k
A. V. Emelyanov Russia 22 306 0.8× 1.2k 3.3× 665 2.7× 47 0.2× 79 0.4× 103 1.5k
A. P. Micolich Australia 23 349 0.9× 686 1.8× 80 0.3× 26 0.1× 58 0.3× 128 2.1k
Yuan Zhang China 23 358 0.9× 668 1.8× 67 0.3× 61 0.3× 450 2.2× 127 2.3k
Jacob Torrejón Spain 18 188 0.5× 1.1k 3.0× 89 0.4× 301 1.4× 741 3.6× 54 2.3k
Takafumi Suzuki Japan 12 172 0.4× 161 0.4× 229 0.9× 24 0.1× 74 0.4× 58 729

Countries citing papers authored by Ryota Kobayashi

Since Specialization
Citations

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

Fields of papers citing papers by Ryota Kobayashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryota Kobayashi

This figure shows the co-authorship network connecting the top 25 collaborators of Ryota Kobayashi. A scholar is included among the top collaborators of Ryota Kobayashi 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 Ryota Kobayashi. Ryota Kobayashi 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.
Yamamoto, Takatoki, Hiroya Nakao, & Ryota Kobayashi. (2024). Gaussian Process Phase Interpolation for estimating the asymptotic phase of a limit cycle oscillator from time series data. Chaos Solitons & Fractals. 191. 115913–115913. 2 indexed citations
2.
Kobayashi, Ryota, et al.. (2023). Highly-Efficient Low-Latency HARQ Built on NOMA for URLLC: Radio Resource Allocation and Transmission Rate Control Aspects. IEICE Transactions on Communications. E106.B(10). 1015–1023. 2 indexed citations
3.
Kori, Hiroshi, et al.. (2023). An extended Hilbert transform method for reconstructing the phase from an oscillatory signal. Scientific Reports. 13(1). 3535–3535. 19 indexed citations
4.
Kobayashi, Ryota, Takeaki Uno, Takako Hashimoto, et al.. (2022). Evolution of Public Opinion on COVID-19 Vaccination in Japan: Large-Scale Twitter Data Analysis. Journal of Medical Internet Research. 24(12). e41928–e41928. 14 indexed citations
5.
Kostal, Lubomir, et al.. (2022). Spike frequency adaptation facilitates the encoding of input gradient in insect olfactory projection neurons. Biosystems. 223. 104802–104802. 3 indexed citations
6.
Munakata, Fumio, et al.. (2020). Multifractal characteristics of the self-assembly material texture of β-Si3N4/SUS316L austenitic stainless steel composites. Journal of Alloys and Compounds. 853. 156570–156570. 15 indexed citations
7.
Kobayashi, Ryota, Sachi Yamaguchi, & Yoh Iwasa. (2020). Optimal control of root nodulation – Prediction of life history theory of a mutualistic system. Journal of Theoretical Biology. 510. 110544–110544. 5 indexed citations
8.
Kobayashi, Ryota, Shuhei Kurita, Katsunori Kitano, et al.. (2019). Reconstructing neuronal circuitry from parallel spike trains. Nature Communications. 10(1). 4468–4468. 96 indexed citations
9.
Yamada, Jun, et al.. (2018). Circuit Analysis and Characterization of Contactless Power Transfer System with Variable Impedance. Electrical Engineering in Japan. 203(3). 39–55. 2 indexed citations
10.
Yamada, Jun, et al.. (2017). Circuit Analysis and Characterization of Contactless Power Transfer System with Variable Impedance. IEEJ Transactions on Industry Applications. 137(11). 815–826. 3 indexed citations
11.
Kobayashi, Ryota, Hiroshi Nishimaru, Hisao Nishijo, & Petr Lánský. (2017). A single spike deteriorates synaptic conductance estimation. Biosystems. 161. 41–45. 2 indexed citations
12.
Kobayashi, Ryota, et al.. (2017). Near magnetic field probe for detection of noise current flowing to uncertain directions. 1–5. 6 indexed citations
13.
14.
Aoki, Takaaki, Taro Takaguchi, Ryota Kobayashi, & Renaud Lambiotte. (2016). Input-output relationship in social communications characterized by spike train analysis. Physical review. E. 94(4). 42313–42313. 17 indexed citations
15.
Kobayashi, Ryota, Jufang He, & Petr Lánský. (2015). Estimation of the synaptic input firing rates and characterization of the stimulation effects in an auditory neuron. Frontiers in Computational Neuroscience. 9. 59–59. 4 indexed citations
16.
Kobayashi, Ryota, et al.. (2013). Measurement and analysis of anti-resonance peak in total PDN impedance. International Symposium on Electromagnetic Compatibility. 931–936. 4 indexed citations
17.
Kobayashi, Ryota, et al.. (2012). On-die PDN design and analysis for minimizing power supply noise. 17–20. 2 indexed citations
18.
Kobayashi, Ryota, Yasuhiro Tsubo, Petr Lánský, & Shigeru Shinomoto. (2011). Estimating time-varying input signals and ion channel states from a single voltage trace of a neuron. ASEP. 24. 217–225. 9 indexed citations
19.
Katoh, Yasuhiro, et al.. (2007). Flexural Fatigue Strength and Design by the P-S-N Curve for HVFA Pavement Concrete. Journal of the Society of Materials Science Japan. 56(4). 377–382. 1 indexed citations
20.
Jolivet, Renaud, Ryota Kobayashi, Alexander Rauch, et al.. (2007). A benchmark test for a quantitative assessment of simple neuron models. Journal of Neuroscience Methods. 169(2). 417–424. 107 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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