Mathias Lécuyer

About

Mathias Lécuyer is a scholar working on Artificial Intelligence, Computer Networks and Communications and Management Science and Operations Research. According to data from OpenAlex, Mathias Lécuyer has authored 7 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Computer Networks and Communications and 1 paper in Management Science and Operations Research. Recurrent topics in Mathias Lécuyer’s work include Privacy-Preserving Technologies in Data (6 papers), Adversarial Robustness in Machine Learning (3 papers) and Advanced Data Storage Technologies (2 papers). Mathias Lécuyer is often cited by papers focused on Privacy-Preserving Technologies in Data (6 papers), Adversarial Robustness in Machine Learning (3 papers) and Advanced Data Storage Technologies (2 papers). Mathias Lécuyer collaborates with scholars based in United States, United Kingdom and Canada. Mathias Lécuyer's co-authors include Roxana Geambasu, Daniel Hsu, Vaggelis Atlidakis, Suman Jana, Siddhartha Sen, Tao Luo, Kiran Vodrahalli and Asaf Cidon and has published in prestigious journals such as IEEE Security & Privacy, ACM SIGOPS Operating Systems Review and Operating Systems Design and Implementation.

In The Last Decade

Co-authorship network of co-authors of Mathias Lécuyer i

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Fields of papers citing papers by Mathias Lécuyer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mathias Lécuyer

Since Specialization

Citations

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