Yukio Mitsuyama
- Electrical and Electronic Engineering top 10%
- Hardware and Architecture top 5%
- Computer Networks and Communications
- Computer Vision and Pattern Recognition
- Biomedical Engineering
- Co-authors
- Masanori HashimotoTakao OnoyeHiroshi FuketaHiroyuki OchiTakashi ImagawaWang LiaoKoichi HamamotoIsao Shirakawa
- Topics
- Semiconductor materials and devices (19 papers)Low-power high-performance VLSI design (16 papers)Radiation Effects in Electronics (16 papers)
- Cited by
- Hardware and ArchitectureElectrical and Electronic EngineeringComputer Networks and Communications
- Journals
- Japanese Journal of Applied PhysicsIEEE Transactions on Information Forensics and SecurityIEEE Transactions on Nuclear Science
- Partner nations
- JapanIrelandUnited States
In The Last Decade
Yukio Mitsuyama
45 papers receiving 400 citations
Peers
Comparison fields: 5 of 24
- Electrical and Electronic Engineering 357
- Hardware and Architecture 199
- Computer Networks and Communications 48
- Computer Vision and Pattern Recognition 23
- Biomedical Engineering 23
Countries citing papers authored by Yukio Mitsuyama
This map shows the geographic impact of Yukio Mitsuyama'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 Yukio Mitsuyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yukio Mitsuyama more than expected).
Fields of papers citing papers by Yukio Mitsuyama
This network shows the impact of papers produced by Yukio Mitsuyama. 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 Yukio Mitsuyama. The network helps show where Yukio Mitsuyama may publish in the future.
Co-authorship network of co-authors of Yukio Mitsuyama
This figure shows the co-authorship network connecting the top 25 collaborators of Yukio Mitsuyama. A scholar is included among the top collaborators of Yukio Mitsuyama 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 Yukio Mitsuyama. Yukio Mitsuyama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 14 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 6 | |
| 7 | 6 | |
| 8 | 24 | |
| 9 | 24 | |
| 10 | 1 | |
| 11 | 8 | |
| 12 | 22 | |
| 13 | 8 | |
| 14 | 5 | |
| 15 | 1 | |
| 16 | 2 | |
| 17 | 4 | |
| 18 | 1 | |
| 19 | 1 | |
| 20 | 0 |
About Yukio Mitsuyama
Yukio Mitsuyama is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 50 papers that have together received 409 indexed citations. Recurring topics across this work include Semiconductor materials and devices (19 papers), Low-power high-performance VLSI design (16 papers) and Radiation Effects in Electronics (16 papers). The work is most often cited by research in Hardware and Architecture (199 citations), Electrical and Electronic Engineering (357 citations) and Computer Networks and Communications (48 citations). Yukio Mitsuyama has collaborated with scholars based in Japan, Ireland and United States. Frequent co-authors include Masanori Hashimoto, Takao Onoye, Hiroshi Fuketa, Hiroyuki Ochi, Takashi Imagawa, Wang Liao, Koichi Hamamoto, Isao Shirakawa, Masayuki Hiromoto and Hidetoshi Onodera. Their work appears in journals such as Japanese Journal of Applied Physics, IEEE Transactions on Information Forensics and Security and IEEE Transactions on Nuclear Science.
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.