Gaëtan Leurent

16 papers and 172 indexed citations i.

About

Gaëtan Leurent is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Gaëtan Leurent has authored 16 papers receiving a total of 172 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 3 papers in Signal Processing. Recurrent topics in Gaëtan Leurent’s work include Cryptographic Implementations and Security (14 papers), Coding theory and cryptography (10 papers) and Chaos-based Image/Signal Encryption (9 papers). Gaëtan Leurent is often cited by papers focused on Cryptographic Implementations and Security (14 papers), Coding theory and cryptography (10 papers) and Chaos-based Image/Signal Encryption (9 papers). Gaëtan Leurent collaborates with scholars based in France, Israel and Singapore. Gaëtan Leurent's co-authors include Karthikeyan Bhargavan, Maŕıa Naya-Plasencia, Sébastien Duval, Marc Kaplan, Anthony Leverrier, Thomas Peyrin, Itai Dinur, Léo Perrin, Anne Canteaut and Thomas Pornin and has published in prestigious journals such as Lecture notes in computer science, Algorithmica and Journal of Cryptology.

In The Last Decade

Co-authorship network of co-authors of Gaëtan Leurent i

Fields of papers citing papers by Gaëtan Leurent

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gaëtan Leurent

Since Specialization
Citations

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

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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