Patrick Derbez

42 papers receiving 680 citations

Peers

Patrick Derbez
Comparison fields: 5 of 20
  • Hardware and Architecture 196
  • Computer Vision and Pattern Recognition 495
  • Artificial Intelligence 671
  • Signal Processing 122
  • Computational Theory and Mathematics 28
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Zhenzhen Bao China
Alexandre Duc Switzerland
Jiqiang Lu China
Robert Primas Austria
Kexin Qiao China
Tetsuya Ichikawa Japan
Olivier Bronchain Belgium
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Gaëtan Cassiers Belgium
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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 25 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

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013144
2 201173
3 201642
4 201242
5 201438
6 201137
7 201530
8 201527
9 201527
10 201825
11 202019
12 201616
13 201814
14 202014
15 202013
16 202113
17 201712
18 202311
19 20229
20 20239

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 44 papers that have together received 703 indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (44 papers), Chaos-based Image/Signal Encryption (33 papers), Coding theory and cryptography (27 papers), Advanced Malware Detection Techniques (9 papers), Physical Unclonable Functions (PUFs) and Hardware Security (7 papers), Cryptography and Residue Arithmetic (3 papers), Cryptography and Data Security (2 papers) and Quantum-Dot Cellular Automata (2 papers). The work is most often cited by research in Hardware and Architecture (196 citations), Computer Vision and Pattern Recognition (495 citations), Artificial Intelligence (671 citations), Signal Processing (122 citations) and Computational Theory and Mathematics (28 citations). Patrick Derbez has collaborated with scholars based in France, Germany and China. Frequent co-authors include Pierre-Alain Fouque, Jérémy Jean, Charles Bouillaguet, Léo Perrin, Brice Minaud, Alex Biryukov, Pierre Karpman, Stéphanie Delaune, Vincent Rijmen and Orr Dunkelman. Their work appears in journals such as IACR Transactions on Symmetric Cryptology, Designs Codes and Cryptography, Lecture notes in computer science, Journal of Cryptology and IACR Transactions on Cryptographic Hardware and Embedded 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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