Nicolas Thériault

497 citations
12 papers · 63 indexed · h-index 4

Nicolas Thériault

8 papers receiving 54 citations

Peers

Nicolas Thériault
Comparison fields: 5 of 20
  • Geometry and Topology 26
  • Information Systems 53
  • Artificial Intelligence 49
  • Computational Theory and Mathematics 10
  • Computer Vision and Pattern Recognition 9
Replace Jean‐François Biasse with:
Jean‐François Biasse United States
Francesco Sica Singapore
Hüseyin Hışıl Türkiye
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Bruce Dodson United States
Nathan Chenette United States
Ingrid Biehl Germany
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Citations per field
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Citations per year

Countries citing papers authored by Nicolas Thériault

Since Specialization
Citations

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

Fields of papers citing papers by Nicolas Thériault

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 7 scholars most cited alongside Nicolas Thériault, 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 Nicolas Thériault Line = papers co-authored together Nicolas Thériault links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1
Progress in Cryptology – LATINCRYPT 2019: 6th International Conference on Cryptology and Information Security in Latin America, Santiago de Chile, Chile, October 2–4, 2019, Proceedings
20192
2 20193
3 20150
4 20150
5 20151
6 20142
7 20130
8
Group Arithmetic on C_{3,5} curves
20130
9
Dans le cadre d'une ACV, conception d'un outil d'aide à la sélection d'un jeu de catégories d'impact pour les entreprises européennes et nord-américaines du secteur textile
20112
10 20084
11
Unified point addition formula and side-channel attacks
20064
12 200645

About Nicolas Thériault

Nicolas Thériault is a scholar working on Geometry and Topology, Information Systems, Artificial Intelligence, Algebra and Number Theory and Urban Studies, having authored 12 papers that have together received 63 indexed citations. Recurring topics across this work include Cryptography and Residue Arithmetic (8 papers), Coding theory and cryptography (7 papers), Algebraic Geometry and Number Theory (6 papers), Cryptographic Implementations and Security (2 papers), Chaos-based Image/Signal Encryption (2 papers), Cryptography and Data Security (1 paper), Polynomial and algebraic computation (1 paper) and Mathematics and Applications (1 paper). The work is most often cited by research in Geometry and Topology (26 citations), Information Systems (53 citations), Artificial Intelligence (49 citations), Computational Theory and Mathematics (10 citations) and Computer Vision and Pattern Recognition (9 citations). Nicolas Thériault has collaborated with scholars based in Chile, Spain and Germany. Frequent co-authors include Claus Diem, Pierrick Gaudry, Emmanuel Thomé, Douglas Stebila, Roberto Avanzi, Peter Schwabe and Zhonghua Wang. Their work appears in journals such as Journal of Mathematical Cryptology, Finite Fields and Their Applications, Journal of Cryptographic Engineering, Mathematics of Computation and Advances in Mathematics of Communications.

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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