Brice Minaud

1.3k citations
8 papers · 493 · h-index 6

Impact in

Papers in

    • Cryptographic Implementations and Security 4
    • Cryptography and Data Security 4
    • Coding theory and cryptography 4
    • Privacy-Preserving Technologies in Data 3
    • Machine Learning and Algorithms 1
    • Adversarial Robustness in Machine Learning 1
    • Complexity and Algorithms in Graphs 3

Brice Minaud

8 papers receiving 488 citations

Peers

Brice Minaud
Comparison fields: 5 of 21
  • Artificial Intelligence 467
  • Computational Theory and Mathematics 122
  • Information Systems 139
  • Computer Vision and Pattern Recognition 126
  • Computer Networks and Communications 88
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Brice Minaud relative to Joseph Jaeger United States Joseph Jaeger's profile →
Citations per field
00.5×2.9×
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Citations per year

Countries citing papers authored by Brice Minaud

Since Specialization
Citations

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

Fields of papers citing papers by Brice Minaud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside Brice Minaud, 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 Brice Minaud Line = papers co-authored together Brice Minaud links everyone, so they are left out of the graph.

All Works

About Brice Minaud

Brice Minaud is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Information Systems, Computer Vision and Pattern Recognition and Infectious Diseases, having authored 8 papers that have together received 493 indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (4 papers), Cryptography and Data Security (4 papers), Coding theory and cryptography (4 papers), Privacy-Preserving Technologies in Data (3 papers), Complexity and Algorithms in Graphs (3 papers), Machine Learning and Algorithms (1 paper), Cryptography and Residue Arithmetic (1 paper) and Adversarial Robustness in Machine Learning (1 paper). The work is most often cited by research in Artificial Intelligence (467 citations), Computational Theory and Mathematics (122 citations), Information Systems (139 citations), Computer Vision and Pattern Recognition (126 citations) and Computer Networks and Communications (88 citations). Brice Minaud has collaborated with scholars based in United Kingdom, France and United States. Frequent co-authors include Raphaël Bost, Olga Ohrimenko, Marie-Sarah Lacharité, Kenneth G. Paterson, Paul Grubbs, Patrick Derbez, Pierre-Alain Fouque, Pierre Karpman and Charalampos Papamanthou. Their work appears in journals such as IACR Transactions on Cryptographic Hardware and Embedded Systems, Journal of Cryptology, Information Processing Letters, DOAJ (DOAJ: Directory of Open Access Journals) and Zenodo (CERN European Organization for Nuclear Research).

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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