Tetsu Iwata

3.0k citations
101 papers · 1.9k · h-index 23

Impact in

Papers in

Tetsu Iwata

93 papers receiving 1.8k citations

Peers

Tetsu Iwata
Comparison fields: 5 of 68
  • Artificial Intelligence 1.7k
  • Computer Vision and Pattern Recognition 1.0k
  • Hardware and Architecture 233
  • Signal Processing 126
  • Computer Networks and Communications 182
Replace Sumio Morioka with:
Sumio Morioka Japan
Simon Heron Czechia
Cyril Allauzen United States
Colin D. Walter United Kingdom
Gaëtan Leurent France
Kazumaro Aoki Japan
Jean-Philippe Aumasson Switzerland
Roman Manevich United States
María Naya‐Plasencia France
Maria Eichlseder Austria
Tetsu Iwata relative to Sumio Morioka Japan Sumio Morioka's profile →
Citations per field
00.5×2×4×6×8×9×
Sumio Morioka · 1×
Citations per year

Countries citing papers authored by Tetsu Iwata

Since Specialization
Citations

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

Fields of papers citing papers by Tetsu Iwata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tetsu Iwata, 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 Tetsu Iwata Line = papers co-authored together Tetsu Iwata links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 101 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007380
2 2003212
3 201196
4 200668
5 201265
6 201754
7 199152
8 201951
9 200938
10 200337
11 201636
12 200936
13 201530
14 201529
15 201528
16 201728
17 202027
18 200426
19 201926
20 201924

About Tetsu Iwata

Tetsu Iwata is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Hardware and Architecture, Computational Theory and Mathematics and Computer Networks and Communications, having authored 101 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (79 papers), Coding theory and cryptography (62 papers), Chaos-based Image/Signal Encryption (57 papers), Cryptography and Data Security (18 papers), Physical Unclonable Functions (PUFs) and Hardware Security (10 papers), graph theory and CDMA systems (8 papers), Quantum Computing Algorithms and Architecture (5 papers) and Quantum-Dot Cellular Automata (4 papers). The work is most often cited by research in Artificial Intelligence (1.7k citations), Computer Vision and Pattern Recognition (1.0k citations), Hardware and Architecture (233 citations), Signal Processing (126 citations) and Computer Networks and Communications (182 citations). Tetsu Iwata has collaborated with scholars based in Japan, Singapore and China. Frequent co-authors include Kaoru Kurosawa, Kazuhiko Minematsu, Kyoji Shibutani, Shiho Moriai, Taizo Shirai, Toru Akishita, Kan Yasuda, Akinori Hosoyamada, Keisuke Ohashi and Thomas Peyrin. Their work appears in journals such as IACR Transactions on Symmetric Cryptology, Lecture notes in computer science, Journal of Cryptology, IET Information Security 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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