Gaëtan Cassiers

18 papers and 152 indexed citations i.

About

Gaëtan Cassiers is a scholar working on Artificial Intelligence, Hardware and Architecture and Computer Vision and Pattern Recognition. According to data from OpenAlex, Gaëtan Cassiers has authored 18 papers receiving a total of 152 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 9 papers in Hardware and Architecture and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Gaëtan Cassiers’s work include Cryptographic Implementations and Security (14 papers), Physical Unclonable Functions (PUFs) and Hardware Security (9 papers) and Chaos-based Image/Signal Encryption (6 papers). Gaëtan Cassiers is often cited by papers focused on Cryptographic Implementations and Security (14 papers), Physical Unclonable Functions (PUFs) and Hardware Security (9 papers) and Chaos-based Image/Signal Encryption (6 papers). Gaëtan Cassiers collaborates with scholars based in Belgium, Austria and France. Gaëtan Cassiers's co-authors include François‐Xavier Standaert, Itamar Levi, Benjamin Grégoire, Olivier Bronchain, Weijia Wang, Thomas Peters, Pierrick Méaux, Davide Bellizia, Sébastien Duval and Olivier Pereira and has published in prestigious journals such as IEEE Transactions on Computers, IEEE Transactions on Information Forensics and Security and IACR Transactions on Cryptographic Hardware and Embedded Systems.

In The Last Decade

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

Fields of papers citing papers by Gaëtan Cassiers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gaëtan Cassiers

Since Specialization
Citations

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