Yosuke Todo

71 papers receiving 2.0k citations

Peers

Yosuke Todo
Comparison fields: 5 of 31
  • Hardware and Architecture 537
  • Computer Vision and Pattern Recognition 1.4k
  • Artificial Intelligence 2.0k
  • Signal Processing 145
  • Electrical and Electronic Engineering 180
Replace Jérémy Jean with:
Jérémy Jean Singapore
Siang Meng Sim Singapore
Kyoji Shibutani Taiwan
Itai Dinur Israel
Elif Bilge Kavun Germany
Martin Schläffer Austria
Ivica Nikolić Singapore
Sumio Morioka Japan
Søren S. Thomsen Denmark
Stefan Kölbl Denmark
Yosuke Todo relative to Jérémy Jean Singapore Jérémy Jean's profile →
Citations per field
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Citations per year

Countries citing papers authored by Yosuke Todo

Since Specialization
Citations

This map shows the geographic impact of Yosuke Todo'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 Yosuke Todo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yosuke Todo more than expected).

Fields of papers citing papers by Yosuke Todo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yosuke Todo. 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 Yosuke Todo. The network helps show where Yosuke Todo may publish in the future.

Co-authors

The 25 scholars most cited alongside Yosuke Todo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yosuke Todo Line = papers co-authored together Yosuke Todo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017277
2 2015217
3 2016157
4 201796
5
GIFT: A Small Present Towards Reaching the Limit of Lightweight Encryption
201789
6 201776
7 201775
8 201469
9 201566
10 201759
11 201752
12 201845
13 202044
14 202044
15 202042
16 201741
17 201739
18
New Impossible Differential Search Tool from Design and Cryptanalysis Aspects - Revealing Structural Properties of Several Ciphers.
201737
19 201635
20 202032

About Yosuke Todo

Yosuke Todo is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Hardware and Architecture, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 82 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (73 papers), Chaos-based Image/Signal Encryption (54 papers), Coding theory and cryptography (49 papers), Physical Unclonable Functions (PUFs) and Hardware Security (22 papers), IPv6, Mobility, Handover, Networks, Security (3 papers), VLSI and FPGA Design Techniques (3 papers), Wireless Networks and Protocols (3 papers) and Cryptography and Data Security (3 papers). The work is most often cited by research in Hardware and Architecture (537 citations), Computer Vision and Pattern Recognition (1.4k citations), Artificial Intelligence (2.0k citations), Signal Processing (145 citations) and Electrical and Electronic Engineering (180 citations). Yosuke Todo has collaborated with scholars based in Japan, Germany and China. Frequent co-authors include Yu Sasaki, Masakatu Morii, Gregor Leander, Sumit Pandey, Siang Meng Sim, Thomas Peyrin, Subhadeep Banik, Willi Meier, Takanori Isobe and Yonglin Hao. Their work appears in journals such as IACR Transactions on Symmetric Cryptology, Journal of Cryptology, Lecture notes in computer science, IEEE Transactions on Computers and IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences.

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.

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