Dai Yamamoto
- Hardware and Architecture top 5%
- Electrical and Electronic Engineering
- Cellular and Molecular Neuroscience
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Co-authors
- Kazuo SakiyamaMitsugu IwamotoKouichi ItohMasahiko TakenakaNaoya ToriiTsutomu MatsumotoKazuo OhtaWakaha Ogata
- Topics
- Integrated Circuits and Semiconductor Failure Analysis (9 papers)Physical Unclonable Functions (PUFs) and Hardware Security (9 papers)Cryptographic Implementations and Security (5 papers)
- Cited by
- Hardware and ArchitectureCellular and Molecular NeuroscienceElectrical and Electronic Engineering
- Journals
- SHILAP Revista de lepidopterologíaThe Scientific World JOURNALIEICE Transactions on Information and Systems
- Partner nations
- Japan
In The Last Decade
Dai Yamamoto
13 papers receiving 248 citations
Peers
Comparison fields: 5 of 18
- Hardware and Architecture 217
- Electrical and Electronic Engineering 198
- Cellular and Molecular Neuroscience 108
- Artificial Intelligence 55
- Computer Vision and Pattern Recognition 28
Countries citing papers authored by Dai Yamamoto
This map shows the geographic impact of Dai Yamamoto'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 Dai Yamamoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dai Yamamoto more than expected).
Fields of papers citing papers by Dai Yamamoto
This network shows the impact of papers produced by Dai Yamamoto. 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 Dai Yamamoto. The network helps show where Dai Yamamoto may publish in the future.
Co-authorship network of co-authors of Dai Yamamoto
This figure shows the co-authorship network connecting the top 25 collaborators of Dai Yamamoto. A scholar is included among the top collaborators of Dai Yamamoto 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 Dai Yamamoto. Dai Yamamoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 16 | |
| 3 | 10 | |
| 4 | 3 | |
| 5 | 37 | |
| 6 | 66 | |
| 7 | 1 | |
| 8 | 10 | |
| 9 | 8 | |
| 10 | 49 | |
| 11 | 30 | |
| 12 | 9 | |
| 13 | Uniqueness Enhancement of PUF Responses Based on the Locations of Random Outputting RS Latches | 1 |
| 14 | 8 | |
| 15 | 1 |
About Dai Yamamoto
Dai Yamamoto is a scholar working on Hardware and Architecture, Biophysics and Cellular and Molecular Neuroscience, having authored 15 papers that have together received 249 indexed citations. Recurring topics across this work include Integrated Circuits and Semiconductor Failure Analysis (9 papers), Physical Unclonable Functions (PUFs) and Hardware Security (9 papers) and Cryptographic Implementations and Security (5 papers). The work is most often cited by research in Hardware and Architecture (217 citations), Cellular and Molecular Neuroscience (108 citations) and Electrical and Electronic Engineering (198 citations). Dai Yamamoto has collaborated with scholars based in Japan. Frequent co-authors include Kazuo Sakiyama, Mitsugu Iwamoto, Kouichi Itoh, Masahiko Takenaka, Naoya Torii, Tsutomu Matsumoto, Kazuo Ohta, Wakaha Ogata, Kazuo Ota and Takeshi Shimoyama. Their work appears in journals such as SHILAP Revista de lepidopterología, The Scientific World JOURNAL and IEICE Transactions on Information and Systems.
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.