Frédéric Valette

978 citations
5 papers · 65 · h-index 3

Impact in

Papers in

Frédéric Valette

5 papers receiving 61 citations

Peers

Frédéric Valette
Comparison fields: 5 of 14
  • Hardware and Architecture 48
  • Artificial Intelligence 57
  • Signal Processing 14
  • Computer Vision and Pattern Recognition 19
  • Computer Networks and Communications 7
Replace David Samyde with:
David Samyde Belgium
Romain Poussier Singapore
Kerstin Lemke‐Rust Germany
Mike Chrzanowski United States
Ilya Kizhvatov Luxembourg
Deniz Toz Belgium
David Gérault Singapore
Alexandre Duc Switzerland
Aline Gouget France
Tetsuya Ichikawa
Frédéric Valette relative to David Samyde Belgium David Samyde's profile →
Citations per field
00.5×
David Samyde · 1×
Citations per year

Countries citing papers authored by Frédéric Valette

Since Specialization
Citations

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

Fields of papers citing papers by Frédéric Valette

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside Frédéric Valette, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Frédéric Valette Line = papers co-authored together Frédéric Valette links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown
#Work
1 201048
2 20088
3 20085
4
Blockwise-Adaptive Attackers - Revisiting the (In)Security of Some Provably Secure Encryption Modes: CBC, GEM, IACBC
20022
5 20092

About Frédéric Valette

Frédéric Valette is a scholar working on Artificial Intelligence, Hardware and Architecture, General Health Professions, Information Systems and Computer Vision and Pattern Recognition, having authored 5 papers that have together received 65 indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (4 papers), Physical Unclonable Functions (PUFs) and Hardware Security (3 papers), Security and Verification in Computing (2 papers), Hermeneutics and Narrative Identity (1 paper), Cryptography and Data Security (1 paper), Health, Medicine and Society (1 paper), Aging, Elder Care, and Social Issues (1 paper) and Chaos-based Image/Signal Encryption (1 paper). The work is most often cited by research in Hardware and Architecture (48 citations), Artificial Intelligence (57 citations), Signal Processing (14 citations), Computer Vision and Pattern Recognition (19 citations) and Computer Networks and Communications (7 citations). Frédéric Valette has collaborated with scholars based in France, Burundi and Switzerland. Frequent co-authors include Jessy Clédière, Paolo Maistri, R. Leveugle, Marc Renaudin, M'Hamed Drissi, Antoine Joux and Pierre-Alain Fouque. Their work appears in journals such as Journal of Cryptology and 2008 Design, Automation and Test in Europe.

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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