Cécile Delerablée

1.1k citations
8 papers · 799 · h-index 7

Impact in

Papers in

    • Cryptography and Data Security 8
    • Cryptographic Implementations and Security 5
    • Privacy-Preserving Technologies in Data 3
    • Internet Traffic Analysis and Secure E-voting 1
    • Coding theory and cryptography 1
    • Complexity and Algorithms in Graphs 4

Cécile Delerablée

8 papers receiving 763 citations

Peers

Cécile Delerablée
Comparison fields: 5 of 24
  • Artificial Intelligence 776
  • Computational Theory and Mathematics 223
  • Information Systems 207
  • Computer Networks and Communications 172
  • Computer Vision and Pattern Recognition 147
Replace Pooya Farshim with:
Pooya Farshim United Kingdom
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Steve Lu United States
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Feng-Hao Liu United States
Jung Yeon Hwang South Korea
Nelly Fazio United States
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Citations per field
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Citations per year

Countries citing papers authored by Cécile Delerablée

Since Specialization
Citations

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

Fields of papers citing papers by Cécile Delerablée

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Cécile Delerablée, 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 Cécile Delerablée Line = papers co-authored together Cécile Delerablée links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown

About Cécile Delerablée

Cécile Delerablée is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications, Information Systems and Infectious Diseases, having authored 8 papers that have together received 799 indexed citations. Recurring topics across this work include Cryptography and Data Security (8 papers), Cryptographic Implementations and Security (5 papers), Complexity and Algorithms in Graphs (4 papers), Privacy-Preserving Technologies in Data (3 papers), Blockchain Technology Applications and Security (1 paper), Internet Traffic Analysis and Secure E-voting (1 paper), Coding theory and cryptography (1 paper) and Advanced Data Storage Technologies (1 paper). The work is most often cited by research in Artificial Intelligence (776 citations), Computational Theory and Mathematics (223 citations), Information Systems (207 citations), Computer Networks and Communications (172 citations) and Computer Vision and Pattern Recognition (147 citations). Cécile Delerablée has collaborated with scholars based in France, Burundi and Poland. Frequent co-authors include David Pointcheval, Pascal Paillier, Tancrède Lepoint, Matthieu Rivain, Xavier Boyen, Fabien Laguillaumie, Jacques Traoré, Damien Vergnaud, Hervé Sibert and Sébastien Canard. Their work appears in journals such as Lecture notes in computer science.

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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