Patrick Derbez

992 citations
19 papers · 85 · h-index 6

Impact in

Papers in

Patrick Derbez

17 papers receiving 81 citations

Peers

Patrick Derbez
Comparison fields: 5 of 14
  • Computer Vision and Pattern Recognition 53
  • Artificial Intelligence 77
  • Hardware and Architecture 13
  • Signal Processing 7
  • Computer Networks and Communications 6
Replace Kan Yasuda with:
Kan Yasuda Japan
Deukjo Hong South Korea
David Gérault Singapore
Virginie Lallemand France
Itai Dinur Israel
Chun Guo China
Aleksei Udovenko Luxembourg
Taizo Shirai Japan
Tetsuya Ichikawa
Steve Babbage
Patrick Derbez relative to Kan Yasuda Japan Kan Yasuda's profile →
Citations per field
00.5×4.3×
Kan Yasuda · 1×
Citations per year

Countries citing papers authored by Patrick Derbez

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Derbez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Patrick Derbez, 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 Patrick Derbez Line = papers co-authored together Patrick Derbez links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 201224
2 20178
3 20208
4 20206
5 20206
6 20185
7 20244
8 20184
9 20204
10 20233
11 20223
12 20193
13 20252
14 20182
15 20191
16 20221
17 20201
18 20240
19 20250

About Patrick Derbez

Patrick Derbez is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Hardware and Architecture and Information Systems, having authored 19 papers that have together received 85 indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (19 papers), Coding theory and cryptography (11 papers), Chaos-based Image/Signal Encryption (11 papers), Advanced Malware Detection Techniques (3 papers), Physical Unclonable Functions (PUFs) and Hardware Security (3 papers), Quantum-Dot Cellular Automata (2 papers), Cryptography and Data Security (2 papers) and Cryptography and Residue Arithmetic (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (53 citations), Artificial Intelligence (77 citations), Hardware and Architecture (13 citations), Signal Processing (7 citations) and Computer Networks and Communications (6 citations). Patrick Derbez has collaborated with scholars based in France, China and United Kingdom. Frequent co-authors include Pierre-Alain Fouque, Brice Minaud, Nathan Keller, Vincent Rijmen, Charles Bouillaguet, Orr Dunkelman, Léo Perrin, Stéphanie Delaune, Pierre Karpman and Stefan Kölbl. Their work appears in journals such as IACR Transactions on Symmetric Cryptology, Designs Codes and Cryptography, Journal of Cryptology, IACR Transactions on Cryptographic Hardware and Embedded Systems and IEEE Transactions on Information Theory.

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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