Satoshi Moriya

563 total citations
30 papers, 355 citations indexed

About

Satoshi Moriya is a scholar working on Electrical and Electronic Engineering, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Satoshi Moriya has authored 30 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Electrical and Electronic Engineering, 12 papers in Cognitive Neuroscience and 12 papers in Artificial Intelligence. Recurrent topics in Satoshi Moriya's work include Neural dynamics and brain function (12 papers), Advanced Memory and Neural Computing (12 papers) and Neural Networks and Reservoir Computing (10 papers). Satoshi Moriya is often cited by papers focused on Neural dynamics and brain function (12 papers), Advanced Memory and Neural Computing (12 papers) and Neural Networks and Reservoir Computing (10 papers). Satoshi Moriya collaborates with scholars based in Japan, Spain and Taiwan. Satoshi Moriya's co-authors include Shigeo Sato, Yoshihiko Horio, Shunsuke Fukami, William A. Borders, Hideo Ohno, Hideaki Yamamoto, Ayumi Hirano‐Iwata, Shigeru Kubota, Michio Niwano and Takashi Tanii and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Science Advances and IEEE Journal of Solid-State Circuits.

In The Last Decade

Satoshi Moriya

29 papers receiving 347 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Satoshi Moriya Japan 8 222 115 106 87 72 30 355
Advait Madhavan United States 12 383 1.7× 37 0.3× 73 0.7× 144 1.7× 85 1.2× 37 483
Yu. V. Pershin United States 9 507 2.3× 113 1.0× 201 1.9× 77 0.9× 97 1.3× 15 608
Saurabh K. Bose New Zealand 8 381 1.7× 201 1.7× 127 1.2× 171 2.0× 23 0.3× 13 438
Hyungwoo Lee South Korea 4 364 1.6× 30 0.3× 63 0.6× 91 1.0× 94 1.3× 12 435
Adrian Diaz‐Alvarez Japan 13 522 2.4× 276 2.4× 151 1.4× 260 3.0× 43 0.6× 16 575
Н. В. Малехонова Russia 10 252 1.1× 87 0.8× 125 1.2× 22 0.3× 57 0.8× 38 453
K. E. Nikiruy Russia 13 507 2.3× 171 1.5× 304 2.9× 62 0.7× 47 0.7× 23 610
Kurtis D. Cantley United States 11 431 1.9× 120 1.0× 170 1.6× 31 0.4× 21 0.3× 35 533
Seung Keun Yoon South Korea 6 401 1.8× 22 0.2× 51 0.5× 98 1.1× 95 1.3× 11 494
R. Gusmeroli Italy 14 443 2.0× 79 0.7× 97 0.9× 22 0.3× 41 0.6× 33 622

Countries citing papers authored by Satoshi Moriya

Since Specialization
Citations

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

Fields of papers citing papers by Satoshi Moriya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Satoshi Moriya

This figure shows the co-authorship network connecting the top 25 collaborators of Satoshi Moriya. A scholar is included among the top collaborators of Satoshi Moriya 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 Satoshi Moriya. Satoshi Moriya 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.
Moriya, Satoshi, Satoshi Ono, Hideaki Yamamoto, et al.. (2025). Analog VLSI Implementation of Subthreshold Spiking Neural Networks and Its Application to Reservoir Computing. IEEE Transactions on Circuits and Systems I Regular Papers. 72(10). 5571–5582. 1 indexed citations
2.
Yamamoto, Hideaki, et al.. (2024). Directional intermodular coupling enriches functional complexity in biological neuronal networks. Neural Networks. 184. 106967–106967. 2 indexed citations
3.
Mizugaki, Yoshinao, et al.. (2024). Numerical Study on Physical Reservoir Computing With Josephson Junctions. IEEE Transactions on Applied Superconductivity. 34(3). 1–4. 1 indexed citations
4.
Moriya, Satoshi, et al.. (2024). Design of Mixed-Signal LSI with Analog Spiking Neural Network and Digital Inference Circuits for Reservoir Computing. UPCommons institutional repository (Universitat Politècnica de Catalunya). 1–6.
5.
Horio, Yoshihiko, et al.. (2024). Bifurcation phenomena observed from two-variable spiking neuron integrated circuit. 1–5. 3 indexed citations
6.
Yamamoto, Hideaki, Yuichi Katori, Satoshi Moriya, et al.. (2023). Biological neurons act as generalization filters in reservoir computing. Proceedings of the National Academy of Sciences. 120(25). e2217008120–e2217008120. 28 indexed citations
7.
Moriya, Satoshi, et al.. (2022). An investigation of the relationship between numerical precision and performance of Q-learning for hardware implementation. Nonlinear Theory and Its Applications IEICE. 13(2). 427–433. 1 indexed citations
8.
Moriya, Satoshi, et al.. (2021). Analog-circuit implementation of multiplicative spike-timing-dependent plasticity with linear decay. Nonlinear Theory and Its Applications IEICE. 12(4). 685–694. 3 indexed citations
9.
Moriya, Satoshi, et al.. (2020). Unsupervised learning based on local interactions between reservoir and readout neurons. IEICE Technical Report; IEICE Tech. Rep.. 120(216). 21–23. 1 indexed citations
10.
Moriya, Satoshi, Hideaki Yamamoto, Ayumi Hirano‐Iwata, Shigeru Kubota, & Shigeo Sato. (2020). Modular networks of spiking neurons for applications in time-series information processing. Nonlinear Theory and Its Applications IEICE. 11(4). 590–600. 3 indexed citations
11.
Moriya, Satoshi, et al.. (2019). Mean-field analysis of directed modular networks. Chaos An Interdisciplinary Journal of Nonlinear Science. 29(1). 13142–13142. 1 indexed citations
12.
Moriya, Satoshi, Hideaki Yamamoto, Ayumi Hirano‐Iwata, Shigeru Kubota, & Shigeo Sato. (2019). Quantitative Analysis of Dynamical Complexity in Cultured Neuronal Network Models for Reservoir Computing Applications. 3. 1–6. 2 indexed citations
13.
Yamamoto, Hideaki, Satoshi Moriya, Takeshi Hayakawa, et al.. (2018). Impact of modular organization on dynamical richness in cortical networks. Science Advances. 4(11). eaau4914–eaau4914. 83 indexed citations
14.
Yamamoto, Hideaki, Shigeru Kubota, Mayu Morita, et al.. (2016). Size-dependent regulation of synchronized activity in living neuronal networks. Physical review. E. 94(1). 12407–12407. 18 indexed citations
15.
Moriya, Satoshi, et al.. (2011). Immersed Boundary Method for Liquid-Solid Two-Phase Flow with Heat Transfer. TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series B. 77(775). 803–814. 7 indexed citations
16.
Yoshizawa, Masaki, et al.. (2005). BEOL process technology based on proximity electron lithography: demonstration of the via-chain yield comparable with ArF lithography. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5751. 527–527. 1 indexed citations
17.
Moriya, Satoshi, et al.. (2002). Studied of recycled fuel oil for diesel engine extracted from waste plastics disposals. 1. 510–515. 8 indexed citations
18.
Yoshizawa, Masaki & Satoshi Moriya. (2000). Resolution limiting mechanism in electron beamlithography. Electronics Letters. 36(1). 90–91. 6 indexed citations
19.
Matsuda, T., et al.. (1985). Submicrometer electron-beam direct writing technology for 1-Mbit DRAM fabrication. IEEE Transactions on Electron Devices. 32(2). 168–173. 1 indexed citations
20.
Sakakibara, Yutaka, Taro Ogawa, Kazuhiko Komatsu, et al.. (1981). Variable-shaped electron-beam direct writing technology for 1-µm VLSI fabrication. IEEE Transactions on Electron Devices. 28(11). 1279–1284. 9 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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