Yosuke Todo

2.7k citations
36 papers · 355 · h-index 10

Impact in

Papers in

Yosuke Todo

31 papers receiving 343 citations

Peers

Yosuke Todo
Comparison fields: 5 of 22
  • Computer Vision and Pattern Recognition 213
  • Artificial Intelligence 329
  • Hardware and Architecture 57
  • Signal Processing 31
  • Computer Networks and Communications 32
Replace Kazuhiko Minematsu with:
Kazuhiko Minematsu Japan
Christof Beierle Germany
Yu Sasaki Japan
Mridul Nandi India
Zhenzhen Bao Singapore
Christophe De Cannière Belgium
Sumio Morioka Japan
Gaurav Bansod India
Léo Perrin France
Jérémy Jean France
Yosuke Todo relative to Kazuhiko Minematsu Japan Kazuhiko Minematsu's profile →
Citations per field
00.5×1.5×2.1×
Kazuhiko Minematsu · 1×
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 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1
GIFT: A Small Present Towards Reaching the Limit of Lightweight Encryption
201767
2 201734
3
New Impossible Differential Search Tool from Design and Cryptanalysis Aspects - Revealing Structural Properties of Several Ciphers.
201733
4 201629
5 201727
6 201727
7 201820
8 201817
9 201914
10 201213
11 20198
12 20118
13 20227
14 20127
15 20167
16 20195
17 20175
18 20214
19 20153
20 20173

About Yosuke Todo

Yosuke Todo is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Hardware and Architecture and Computer Networks and Communications, having authored 36 papers that have together received 355 indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (28 papers), Chaos-based Image/Signal Encryption (18 papers), Coding theory and cryptography (17 papers), Physical Unclonable Functions (PUFs) and Hardware Security (6 papers), VLSI and FPGA Design Techniques (3 papers), Cryptography and Data Security (3 papers), Wireless Networks and Protocols (3 papers) and IPv6, Mobility, Handover, Networks, Security (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (213 citations), Artificial Intelligence (329 citations), Hardware and Architecture (57 citations), Signal Processing (31 citations) and Computer Networks and Communications (32 citations). Yosuke Todo has collaborated with scholars based in Japan, China and Switzerland. Frequent co-authors include Yu Sasaki, Mohamed F. Tolba, Ahmed Abdelkhalek, Masakatu Morii, Amr Youssef, Thomas Peyrin, Subhadeep Banik, Siang Meng Sim, Sumit Pandey and Gregor Leander. Their work appears in journals such as IACR Transactions on Symmetric Cryptology, Journal of Cryptology, IEEE Transactions on Computers, IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences 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.

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