François Arnault

528 citations
16 papers · 141 · h-index 8

Impact in

Papers in

François Arnault

15 papers receiving 128 citations

Peers

François Arnault
Comparison fields: 5 of 28
  • Artificial Intelligence 109
  • Algebra and Number Theory 14
  • General Dentistry 3
  • Computer Vision and Pattern Recognition 39
  • Discrete Mathematics and Combinatorics 6
Replace Roman Matuszewski with:
Roman Matuszewski Germany
Katalin Friedl Hungary
Ferenc Szöllősi Hungary
Olivier Ruatta France
Christophe Petit Belgium
Dmitry Gavinsky United States
Avraham Ben-Aroya Israel
Philippe Elbaz–Vincent France
Nobuyuki Kataoka Japan
Ethan Smith United States
François Arnault relative to Roman Matuszewski Germany Roman Matuszewski's profile →
Citations per field
00.5×
Roman Matuszewski · 1×
Citations per year

Countries citing papers authored by François Arnault

Since Specialization
Citations

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

Fields of papers citing papers by François Arnault

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside François Arnault, 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 François Arnault Line = papers co-authored together François Arnault links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 201531
2 200527
3 201118
4 200410
5 20089
6 20128
7 19977
8 19957
9 20117
10 19956
11 19914
12 19872
13
Preventing weaknesses on F-FCSR in IV mode and tradeoff attack on F-FCSR 8
20052
14 19901
15 20081
16 20171

About François Arnault

François Arnault is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Information Systems and Atomic and Molecular Physics, and Optics, having authored 16 papers that have together received 141 indexed citations. Recurring topics across this work include Coding theory and cryptography (7 papers), Cellular Automata and Applications (4 papers), Cryptographic Implementations and Security (3 papers), Chaos-based Image/Signal Encryption (3 papers), Cryptography and Residue Arithmetic (2 papers), Analytic Number Theory Research (2 papers), Quantum Information and Cryptography (2 papers) and Quantum Mechanics and Applications (2 papers). The work is most often cited by research in Artificial Intelligence (109 citations), Algebra and Number Theory (14 citations), General Dentistry (3 citations), Computer Vision and Pattern Recognition (39 citations) and Discrete Mathematics and Combinatorics (6 citations). François Arnault has collaborated with scholars based in France, United States and Austria. Frequent co-authors include Thierry Pierre Berger, Marine Minier, Tomasz Paterek, Minh C. Tran, Borivoje Dakić, Wiesław Laskowski, Cédric Lauradoux and Ivan Coste-Manière. Their work appears in journals such as IEEE Transactions on Information Theory, Journal of Prosthetic Dentistry, Mathematics of Computation, Physical Review A and Journal of Physics A Mathematical and Theoretical.

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.

Explore authors with similar magnitude of impact