Cécile Dumas

1.4k total citations
7 papers, 318 citations indexed

About

Cécile Dumas is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Hardware and Architecture. According to data from OpenAlex, Cécile Dumas has authored 7 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 2 papers in Hardware and Architecture. Recurrent topics in Cécile Dumas's work include Cryptographic Implementations and Security (7 papers), Chaos-based Image/Signal Encryption (5 papers) and Security and Verification in Computing (2 papers). Cécile Dumas is often cited by papers focused on Cryptographic Implementations and Security (7 papers), Chaos-based Image/Signal Encryption (5 papers) and Security and Verification in Computing (2 papers). Cécile Dumas collaborates with scholars based in France, Australia and Belgium. Cécile Dumas's co-authors include Emmanuel Prouff, Ryad Benadjila, Eleonora Cagli, Alexandre Venelli, Jessy Clédière and Philippe Elbaz–Vincent and has published in prestigious journals such as SHILAP Revista de lepidopterología, IACR Transactions on Cryptographic Hardware and Embedded Systems and Journal of Electronic Testing.

In The Last Decade

Cécile Dumas

7 papers receiving 306 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Cécile Dumas France	7	291	186	125	109	38	7	318
Alexandre Venelli France	8	277 1.0×	161 0.9×	112 0.9×	108 1.0×	29 0.8×	10	303
Robert Primas Austria	10	286 1.0×	181 1.0×	83 0.7×	124 1.1×	32 0.8×	20	306
Subhadeep Banik Switzerland	11	307 1.1×	72 0.4×	39 0.3×	218 2.0×	45 1.2×	48	367
Marco Macchetti Switzerland	7	206 0.7×	108 0.6×	38 0.3×	87 0.8×	38 1.0×	12	246
Jessy Clédière France	11	248 0.9×	234 1.3×	51 0.4×	102 0.9×	89 2.3×	20	316
Hassen Mestiri Tunisia	11	241 0.8×	138 0.7×	75 0.6×	176 1.6×	44 1.2×	41	308
Łukasz Chmielewski Netherlands	8	161 0.6×	75 0.4×	45 0.4×	58 0.5×	24 0.6×	16	180
Gaëtan Cassiers Belgium	7	201 0.7×	126 0.7×	45 0.4×	81 0.7×	25 0.7×	21	222
Yu Sasaki Japan	10	324 1.1×	70 0.4×	41 0.3×	229 2.1×	24 0.6×	43	344
Jean-Sébastien Coron Luxembourg	12	285 1.0×	69 0.4×	31 0.2×	124 1.1×	38 1.0×	30	333

Countries citing papers authored by Cécile Dumas

Since Specialization

Citations

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

Fields of papers citing papers by Cécile Dumas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cécile Dumas

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

All Works

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7 of 7 papers shown

1.

Dumas, Cécile, et al.. (2019). A Comprehensive Study of Deep Learning for Side-Channel Analysis. IACR Transactions on Cryptographic Hardware and Embedded Systems. 348–375. 56 indexed citations

2.

Dumas, Cécile, et al.. (2019). Deep Learning to Evaluate Secure RSA Implementations. IACR Transactions on Cryptographic Hardware and Embedded Systems. 132–161. 49 indexed citations

3.

Benadjila, Ryad, et al.. (2019). Deep learning for side-channel analysis and introduction to ASCAD database. Journal of Cryptographic Engineering. 10(2). 163–188. 148 indexed citations

4.

Dumas, Cécile, et al.. (2019). A Comprehensive Study of Deep Learning for Side-Channel Analysis. SHILAP Revista de lepidopterología. 13 indexed citations

5.

Dumas, Cécile, et al.. (2019). Deep Learning to Evaluate Secure RSA Implementations. SHILAP Revista de lepidopterología. 32 indexed citations

6.

Clédière, Jessy, et al.. (2013). Fault Analysis and Evaluation of a True Random Number Generator Embedded in a Processor. Journal of Electronic Testing. 29(3). 367–381. 9 indexed citations

7.

Dumas, Cécile, et al.. (2011). Influence of the temperature on true random number generators. 24–27. 11 indexed citations

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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