Tomoyasu Suzaki
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Hardware and Architecture top 10%
- Computer Networks and Communications
- Electrical and Electronic Engineering
- Co-authors
- Kazuhiko MinematsuSumio MoriokaYukiyasu TsunooMaki ShigeriTakeshi KawabataShahram KhazaeiHadi AhmadiTaraneh Eghlidos
- Topics
- Cryptographic Implementations and Security (5 papers)Coding theory and cryptography (4 papers)Chaos-based Image/Signal Encryption (4 papers)
- Journals
- IEEE Transactions on Information TheoryIEICE Technical Report; IEICE Tech. Rep.
- Partner nations
- Japan
In The Last Decade
Tomoyasu Suzaki
6 papers receiving 140 citations
Peers
Comparison fields: 5 of 17
- Artificial Intelligence 130
- Computer Vision and Pattern Recognition 107
- Hardware and Architecture 32
- Computer Networks and Communications 18
- Electrical and Electronic Engineering 16
Countries citing papers authored by Tomoyasu Suzaki
This map shows the geographic impact of Tomoyasu Suzaki'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 Tomoyasu Suzaki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomoyasu Suzaki more than expected).
Fields of papers citing papers by Tomoyasu Suzaki
This network shows the impact of papers produced by Tomoyasu Suzaki. 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 Tomoyasu Suzaki. The network helps show where Tomoyasu Suzaki may publish in the future.
Co-authorship network of co-authors of Tomoyasu Suzaki
This figure shows the co-authorship network connecting the top 25 collaborators of Tomoyasu Suzaki. A scholar is included among the top collaborators of Tomoyasu Suzaki 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 Tomoyasu Suzaki. Tomoyasu Suzaki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | TWINE: A Lightweight Block Cipher for Multiple Platforms ⋆ | 114 |
| 2 | New Impossible Differentials of CLEFIA | 3 |
| 3 | 8 | |
| 4 | 5 | |
| 5 | 12 | |
| 6 | Evaluation of SOSEMANUK with regard to guess-and-determine attacks | 6 |
About Tomoyasu Suzaki
Tomoyasu Suzaki is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Hardware and Architecture, having authored 6 papers that have together received 148 indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (5 papers), Coding theory and cryptography (4 papers) and Chaos-based Image/Signal Encryption (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (107 citations), Hardware and Architecture (32 citations) and Artificial Intelligence (130 citations). Tomoyasu Suzaki has collaborated with scholars based in Japan. Frequent co-authors include Kazuhiko Minematsu, Sumio Morioka, Yukiyasu Tsunoo, Maki Shigeri, Takeshi Kawabata, Shahram Khazaei, Hadi Ahmadi and Taraneh Eghlidos. Their work appears in journals such as IEEE Transactions on Information Theory and IEICE Technical Report; IEICE Tech. Rep..
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.