H. Toyoshima
- Hardware and Architecture top 10%
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- Semiconductor materials and devices 21
- Advancements in Semiconductor Devices and Circuit Design 10
- Ferroelectric and Negative Capacitance Devices 8
- Low-power high-performance VLSI design 8
- Advanced Memory and Neural Computing 5
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- GaN-based semiconductor devices and materials 4
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- EEG and Brain-Computer Interfaces 6
- Neural dynamics and brain function 3
- Cited by
- Hardware and ArchitectureElectrical and Electronic EngineeringAtomic and Molecular Physics, and Optics
- Journals
- IEEE Journal of Solid-State Circuits (6 papers)IEEE Transactions on Electron Devices (4 papers)Electronics Letters (2 papers)
- Partner nations
- JapanFranceUnited States
In The Last Decade
H. Toyoshima
31 papers receiving 277 citations
Peers
Comparison fields: 5 of 26
- Hardware and Architecture 40
- Electrical and Electronic Engineering 259
- Atomic and Molecular Physics, and Optics 79
- Condensed Matter Physics 22
- Language and Linguistics 14
Countries citing papers authored by H. Toyoshima
This map shows the geographic impact of H. Toyoshima'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 H. Toyoshima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. Toyoshima more than expected).
Fields of papers citing papers by H. Toyoshima
This network shows the impact of papers produced by H. Toyoshima. 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 H. Toyoshima. The network helps show where H. Toyoshima may publish in the future.
Co-authorship network
The 25 scholars most cited alongside H. Toyoshima, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 2 | |
| 2 | 2011 | 3 | |
| 3 | 2009 | 9 | |
| 4 | MICRO ROBOT CONTROL BY EEG ON MENTAL TRANSLATION WITH DIRECTIONAL SYMBOLS | 2008 | 1 |
| 5 | 2007 | 0 | |
| 6 | 2006 | 1 | |
| 7 | 2006 | 0 | |
| 8 | 2006 | 1 | |
| 9 | 2003 | 1 | |
| 10 | 2002 | 8 | |
| 11 | 2002 | 6 | |
| 12 | 2002 | 9 | |
| 13 | 2002 | 8 | |
| 14 | 2002 | 2 | |
| 15 | 2001 | 49 | |
| 16 | Internet-Marks: Reliable Visual Marks for the Web Site Authentication | 2000 | 1 |
| 17 | 1987 | 3 | |
| 18 | 1987 | 0 | |
| 19 | 1986 | 35 | |
| 20 | 1986 | 8 |
About H. Toyoshima
H. Toyoshima is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering and Cognitive Neuroscience, having authored 40 papers that have together received 299 indexed citations. Recurring topics across this work include Semiconductor materials and devices (21 papers), Advancements in Semiconductor Devices and Circuit Design (10 papers), Ferroelectric and Negative Capacitance Devices (8 papers), Low-power high-performance VLSI design (8 papers), EEG and Brain-Computer Interfaces (6 papers), Advanced Memory and Neural Computing (5 papers), GaN-based semiconductor devices and materials (4 papers) and Neural dynamics and brain function (3 papers). The work is most often cited by research in Hardware and Architecture (40 citations), Electrical and Electronic Engineering (259 citations) and Atomic and Molecular Physics, and Optics (79 citations). H. Toyoshima has collaborated with scholars based in Japan, France and United States. Frequent co-authors include H. Hida, Yoshikazu Suzuki, K. Ohata, J. Yamada, Hiroki Koike, K. Honjo, Mohammad Madihian, T. Kunio, Kazushi Amanuma and T. Tatsumi. Their work appears in journals such as IEEE Journal of Solid-State Circuits, IEEE Transactions on Electron Devices and Electronics Letters.
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.