Laurent-Stéphane Didier

10 papers receiving 136 citations

Peers

Laurent-Stéphane Didier
Comparison fields: 5 of 15
  • Artificial Intelligence 121
  • Information Systems 119
  • Computational Theory and Mathematics 34
  • Electrical and Electronic Engineering 21
  • Computer Vision and Pattern Recognition 19
Replace Christophe Négre with:
Christophe Négre France
Dung Hoang Duong Australia
Donald Donglong Chen Hong Kong
Sanjit Chatterjee India
Masaaki Shirase Japan
Manu Drijvers Switzerland
Luk Bettale France
Takashi Nishide Japan
Akshayaram Srinivasan United States
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Laurent-Stéphane Didier relative to Christophe Négre France Christophe Négre's profile →
Citations per field
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Christophe Négre · 1×
Citations per year

Countries citing papers authored by Laurent-Stéphane Didier

Since Specialization
Citations

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

Fields of papers citing papers by Laurent-Stéphane Didier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laurent-Stéphane Didier. 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 Laurent-Stéphane Didier. The network helps show where Laurent-Stéphane Didier may publish in the future.

Co-authorship network of co-authors of Laurent-Stéphane Didier

This figure shows the co-authorship network connecting the top 25 collaborators of Laurent-Stéphane Didier. A scholar is included among the top collaborators of Laurent-Stéphane Didier based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Laurent-Stéphane Didier. Laurent-Stéphane Didier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 0
2 3
3 10
4 8
5 4
6 20
7 1
8
The Fixed CADNA library
3
9 10
10 1
11 9
12 79

About Laurent-Stéphane Didier

Laurent-Stéphane Didier is a scholar working on Information Systems, Artificial Intelligence and Computational Theory and Mathematics, having authored 12 papers that have together received 148 indexed citations. Recurring topics across this work include Cryptography and Residue Arithmetic (9 papers), Cryptography and Data Security (6 papers) and Coding theory and cryptography (6 papers). The work is most often cited by research in Information Systems (119 citations), Artificial Intelligence (121 citations) and Computational Theory and Mathematics (34 citations). Laurent-Stéphane Didier has collaborated with scholars based in France, Saudi Arabia and Spain. Frequent co-authors include Jean-Claude Bajard, Peter Kornerup, Jean‐Michel Muller, Pascal Véron, H. Fatih Uğurdağ, Florent de Dinechin, Sezer Gören, Nadia El Mrabet, Belgacem Bouallègue and Bouraoui Ouni. Their work appears in journals such as IEEE Transactions on Computers, IEEE Transactions on Circuits & Systems II Express Briefs and Journal of Information Security and Applications.

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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