Satoshi Moriya
- Electrical and Electronic Engineering
- Cognitive Neuroscience top 10%
- Cellular and Molecular Neuroscience
- Artificial Intelligence
- Atomic and Molecular Physics, and Optics
- Co-authors
- Shigeo SatoYoshihiko HorioShunsuke FukamiWilliam A. BordersHideo OhnoHideaki YamamotoAyumi Hirano‐IwataShigeru Kubota
- Topics
- Neural dynamics and brain function (12 papers)Advanced Memory and Neural Computing (12 papers)Neural Networks and Reservoir Computing (10 papers)
- Cited by
- Cognitive NeuroscienceCellular and Molecular NeuroscienceElectrical and Electronic Engineering
In The Last Decade
Satoshi Moriya
29 papers receiving 347 citations
Peers
Comparison fields: 5 of 51
- Electrical and Electronic Engineering 222
- Cognitive Neuroscience 115
- Cellular and Molecular Neuroscience 106
- Artificial Intelligence 87
- Atomic and Molecular Physics, and Optics 72
Countries citing papers authored by Satoshi Moriya
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 28 | |
| 7 | 1 | |
| 8 | 7 | |
| 9 | 3 | |
| 10 | 3 | |
| 11 | Unsupervised learning based on local interactions between reservoir and readout neurons | 1 |
| 12 | 1 | |
| 13 | 2 | |
| 14 | 83 | |
| 15 | 18 | |
| 16 | 7 | |
| 17 | 1 | |
| 18 | 8 | |
| 19 | 1 | |
| 20 | 9 |
About Satoshi Moriya
Satoshi Moriya is a scholar working on Surfaces, Coatings and Films, Structural Biology and Cognitive Neuroscience, having authored 30 papers that have together received 355 indexed citations. Recurring topics across this work include Neural dynamics and brain function (12 papers), Advanced Memory and Neural Computing (12 papers) and Neural Networks and Reservoir Computing (10 papers). The work is most often cited by research in Cognitive Neuroscience (115 citations), Cellular and Molecular Neuroscience (106 citations) and Electrical and Electronic Engineering (222 citations). Satoshi Moriya has collaborated with scholars based in Japan, Spain and Taiwan. Frequent 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. Their work appears in journals such as Proceedings of the National Academy of Sciences, Science Advances and IEEE Journal of Solid-State Circuits.
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.