Masayuki Ikebe
- Electrical and Electronic Engineering top 10%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Media Technology top 5%
- Biomedical Engineering
- Co-authors
- Tetsuya AsaiMasato MotomuraShinya Takamaeda-YamazakiKota AndoKodai UeyoshiTadahiro KurodaEiichi SanoShimpei Sato
- Topics
- CCD and CMOS Imaging Sensors (21 papers)Advanced Memory and Neural Computing (15 papers)Advanced Vision and Imaging (14 papers)
- Cited by
- Computer Vision and Pattern RecognitionMedia TechnologyElectrical and Electronic Engineering
In The Last Decade
Masayuki Ikebe
74 papers receiving 516 citations
Peers
Comparison fields: 5 of 62
- Electrical and Electronic Engineering 325
- Computer Vision and Pattern Recognition 193
- Artificial Intelligence 98
- Media Technology 57
- Biomedical Engineering 54
Countries citing papers authored by Masayuki Ikebe
This map shows the geographic impact of Masayuki Ikebe'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 Masayuki Ikebe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masayuki Ikebe more than expected).
Fields of papers citing papers by Masayuki Ikebe
This network shows the impact of papers produced by Masayuki Ikebe. 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 Masayuki Ikebe. The network helps show where Masayuki Ikebe may publish in the future.
Co-authorship network of co-authors of Masayuki Ikebe
This figure shows the co-authorship network connecting the top 25 collaborators of Masayuki Ikebe. A scholar is included among the top collaborators of Masayuki Ikebe 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 Masayuki Ikebe. Masayuki Ikebe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 5 | |
| 6 | A 32X32-Pixel 0.9THz Imager with Pixel-Parallel 12b VCO-Based ADC in 0.18μm CMOS | 2 |
| 7 | 5 | |
| 8 | 1 | |
| 9 | 6 | |
| 10 | 4 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 11 | |
| 15 | 15 | |
| 16 | 0 | |
| 17 | 2 | |
| 18 | 1 | |
| 19 | 0 | |
| 20 | 14 |
About Masayuki Ikebe
Masayuki Ikebe is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Electrical and Electronic Engineering, having authored 84 papers that have together received 528 indexed citations. Recurring topics across this work include CCD and CMOS Imaging Sensors (21 papers), Advanced Memory and Neural Computing (15 papers) and Advanced Vision and Imaging (14 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (193 citations), Media Technology (57 citations) and Electrical and Electronic Engineering (325 citations). Masayuki Ikebe has collaborated with scholars based in Japan and Greece. Frequent co-authors include Tetsuya Asai, Masato Motomura, Shinya Takamaeda-Yamazaki, Kota Ando, Kodai Ueyoshi, Tadahiro Kuroda, Eiichi Sano, Shimpei Sato, Hiroki Nakahara and Haruyoshi Yonekawa. Their work appears in journals such as IEEE Journal of Solid-State Circuits, Japanese Journal of Applied Physics and IEEE Transactions on Circuits and Systems for Video Technology.
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.