Romain Poussier

34 total papers · 544 total citations
8 papers, 55 citations indexed

About

Romain Poussier is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Romain Poussier has authored 8 papers receiving a total of 55 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 4 papers in Signal Processing and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Romain Poussier's work include Cryptographic Implementations and Security (8 papers), Advanced Malware Detection Techniques (4 papers) and Security and Verification in Computing (3 papers). Romain Poussier is often cited by papers focused on Cryptographic Implementations and Security (8 papers), Advanced Malware Detection Techniques (4 papers) and Security and Verification in Computing (3 papers). Romain Poussier collaborates with scholars based in Singapore, Belgium and United States. Romain Poussier's co-authors include François‐Xavier Standaert, Liran Lerman, Olivier Markowitch, Shivam Bhasin, Xiaolu Hou, Siang Meng Sim, Daniel Genkin, Jakub Breier, Dirmanto Jap and Yuval Yarom and has published in prestigious journals such as SHILAP Revista de lepidopterología, IACR Transactions on Cryptographic Hardware and Embedded Systems and ACM Transactions on Architecture and Code Optimization.

In The Last Decade

Romain Poussier

8 papers receiving 55 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Romain Poussier 49 32 23 19 9 8 55
David Samyde 55 1.1× 37 1.2× 19 0.8× 15 0.8× 10 1.1× 7 64
Frédéric Valette 57 1.2× 48 1.5× 14 0.6× 19 1.0× 7 0.8× 5 65
Alexandre Duc 74 1.5× 40 1.3× 14 0.6× 24 1.3× 7 0.8× 6 85
David Gérault 77 1.6× 21 0.7× 12 0.5× 52 2.7× 6 0.7× 11 84
Ilya Kizhvatov 70 1.4× 41 1.3× 25 1.1× 29 1.5× 23 2.6× 9 84
Deniz Toz 66 1.3× 18 0.6× 17 0.7× 43 2.3× 17 1.9× 9 83
Virginie Lallemand 63 1.3× 12 0.4× 13 0.6× 49 2.6× 5 0.6× 10 69
Aline Gouget 47 1.0× 17 0.5× 5 0.2× 26 1.4× 7 0.8× 6 48
Houssem Maghrebi 40 0.8× 23 0.7× 12 0.5× 16 0.8× 2 0.2× 7 41
Yiğitcan Kaya 48 1.0× 11 0.3× 15 0.7× 21 1.1× 6 0.7× 6 61

Countries citing papers authored by Romain Poussier

Since Specialization
Citations

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

Fields of papers citing papers by Romain Poussier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Romain Poussier

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

All Works

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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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