David Gérault

660 total citations
11 papers, 84 citations indexed

About

David Gérault is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, David Gérault has authored 11 papers receiving a total of 84 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 2 papers in Computer Networks and Communications. Recurrent topics in David Gérault's work include Cryptographic Implementations and Security (8 papers), Chaos-based Image/Signal Encryption (5 papers) and Coding theory and cryptography (3 papers). David Gérault is often cited by papers focused on Cryptographic Implementations and Security (8 papers), Chaos-based Image/Signal Encryption (5 papers) and Coding theory and cryptography (3 papers). David Gérault collaborates with scholars based in Singapore, France and United Kingdom. David Gérault's co-authors include Pascal Lafourcade, Christine Solnon, Marine Minier, Thomas Peyrin, Yosuke Todo, Kexin Qiao, Siwei Sun, Lei Hu, L. Sun and Meiqin Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Artificial Intelligence and Information Processing Letters.

In The Last Decade

David Gérault

10 papers receiving 81 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David Gérault Singapore 5 77 52 21 12 6 11 84
Patrick Derbez France 6 77 1.0× 53 1.0× 13 0.6× 7 0.6× 6 1.0× 19 85
Virginie Lallemand France 3 63 0.8× 49 0.9× 12 0.6× 13 1.1× 5 0.8× 10 69
Kexin Qiao China 5 94 1.2× 74 1.4× 22 1.0× 17 1.4× 3 0.5× 14 105
Tetsuya Ichikawa 4 96 1.2× 70 1.3× 20 1.0× 10 0.8× 8 1.3× 6 100
Taizo Shirai Japan 3 97 1.3× 70 1.3× 14 0.7× 11 0.9× 12 2.0× 4 109
Ivica Nikolić Singapore 8 105 1.4× 82 1.6× 23 1.1× 17 1.4× 4 0.7× 16 123
Itai Dinur Israel 6 49 0.6× 29 0.6× 10 0.5× 11 0.9× 10 1.7× 17 63
Deniz Toz Belgium 3 66 0.9× 43 0.8× 18 0.9× 17 1.4× 17 2.8× 9 83
Kan Yasuda Japan 5 81 1.1× 58 1.1× 10 0.5× 6 0.5× 5 0.8× 17 93
Sebastian Szyller Canada 2 56 0.7× 31 0.6× 8 0.4× 11 0.9× 3 0.5× 3 72

Countries citing papers authored by David Gérault

Since Specialization
Citations

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

Fields of papers citing papers by David Gérault

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Gérault

This figure shows the co-authorship network connecting the top 25 collaborators of David Gérault. A scholar is included among the top collaborators of David Gérault 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 David Gérault. David Gérault is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
2.
Gérault, David, et al.. (2023). A Cipher-Agnostic Neural Training Pipeline with Automated Finding of Good Input Differences. IACR Transactions on Symmetric Cryptology. 184–212. 5 indexed citations
3.
Gérault, David, et al.. (2023). Boosting Differential-Linear Cryptanalysis of ChaCha7 with MILP. IACR Transactions on Symmetric Cryptology. 189–223. 4 indexed citations
4.
Boureanu, Ioana, et al.. (2021). Mechanised Models and Proofs for Distance-Bounding. SPIRE - Sciences Po Institutional REpository. 1–16. 2 indexed citations
5.
Gérault, David, et al.. (2021). Exploring Differential-Based Distinguishers and Forgeries for ASCON. IACR Transactions on Symmetric Cryptology. 102–136. 14 indexed citations
6.
Sun, L., David Gérault, Wei Wang, & Meiqin Wang. (2020). On the Usage of Deterministic (Related-Key) Truncated Differentials and Multidimensional Linear Approximations for SPN Ciphers. SHILAP Revista de lepidopterología. 1 indexed citations
7.
Sun, L., et al.. (2020). On the Usage of Deterministic (Related-Key) Truncated Differentials and Multidimensional Linear Approximations for SPN Ciphers. IACR Transactions on Symmetric Cryptology. 262–287. 2 indexed citations
8.
Gérault, David, Pascal Lafourcade, Marine Minier, & Christine Solnon. (2019). Computing AES related-key differential characteristics with constraint programming. Artificial Intelligence. 278. 103183–103183. 6 indexed citations
9.
Gérault, David, Pascal Lafourcade, Marine Minier, & Christine Solnon. (2018). Revisiting AES related-key differential attacks with constraint programming. Information Processing Letters. 139. 24–29. 22 indexed citations
10.
Sun, Siwei, David Gérault, Pascal Lafourcade, et al.. (2017). Analysis of AES, SKINNY, and Others with Constraint Programming. IACR Transactions on Symmetric Cryptology. 281–306. 27 indexed citations
11.
Gérault, David, et al.. (2017). Analysis of AES, SKINNY, and Others with Constraint Programming. SHILAP Revista de lepidopterología. 1 indexed citations

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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