Pascal Véron

462 citations
16 papers · 116 · h-index 7

Impact in

Papers in

Pascal Véron

14 papers receiving 109 citations

Peers

Pascal Véron
Comparison fields: 5 of 17
  • Artificial Intelligence 100
  • Discrete Mathematics and Combinatorics 8
  • Computational Theory and Mathematics 24
  • Instrumentation 4
  • Computer Networks and Communications 18
Replace Dustin Moody with:
Dustin Moody United States
David Kohel Australia
M.J. Coster Netherlands
Ludovic Perret France
Constanza Riera Norway
Jaume Martí-Farré Spain
Marion Videau France
Christophe Petit Belgium
Jens Zumbrägel Germany
Daniel R. L. Brown Canada
Pascal Véron relative to Dustin Moody United States Dustin Moody's profile →
Citations per field
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Dustin Moody · 1×
Citations per year

Countries citing papers authored by Pascal Véron

Since Specialization
Citations

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

Fields of papers citing papers by Pascal Véron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside Pascal Véron, 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 Pascal Véron Line = papers co-authored together Pascal Véron links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 199741
2 196611
3 199811
4 202010
5 201410
6 20017
7 20057
8 20125
9 20054
10 20233
11 20222
12 20222
13 20022
14 20221
15 20230
16 20220

About Pascal Véron

Pascal Véron is a scholar working on Artificial Intelligence, Information Systems, Electrical and Electronic Engineering, Computational Theory and Mathematics and Molecular Biology, having authored 16 papers that have together received 116 indexed citations. Recurring topics across this work include Coding theory and cryptography (11 papers), Cryptography and Residue Arithmetic (6 papers), graph theory and CDMA systems (5 papers), Cryptography and Data Security (5 papers), Cryptographic Implementations and Security (3 papers), DNA and Biological Computing (2 papers), Chaos-based Image/Signal Encryption (2 papers) and Cellular Automata and Applications (2 papers). The work is most often cited by research in Artificial Intelligence (100 citations), Discrete Mathematics and Combinatorics (8 citations), Computational Theory and Mathematics (24 citations), Instrumentation (4 citations) and Computer Networks and Communications (18 citations). Pascal Véron has collaborated with scholars based in France, Luxembourg and Germany. Frequent co-authors include Özgür Dagdelen, David Galindo, Laurent-Stéphane Didier, Pierre-Louis Cayrel, Philippe Langevin, Jean-Claude Bajard, Jean–Marc Robert, Nadia El Mrabet and Thomas Plantard. Their work appears in journals such as Designs Codes and Cryptography, Journal of Cryptographic Engineering, Advances in Mathematics of Communications, IEEE Transactions on Emerging Topics in Computing and Nature.

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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