Sonia Belaïd

1.1k total citations
10 papers, 162 citations indexed

About

Sonia Belaïd is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Hardware and Architecture. According to data from OpenAlex, Sonia Belaïd has authored 10 papers receiving a total of 162 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 4 papers in Hardware and Architecture. Recurrent topics in Sonia Belaïd's work include Cryptographic Implementations and Security (9 papers), Chaos-based Image/Signal Encryption (6 papers) and Cryptography and Data Security (3 papers). Sonia Belaïd is often cited by papers focused on Cryptographic Implementations and Security (9 papers), Chaos-based Image/Signal Encryption (6 papers) and Cryptography and Data Security (3 papers). Sonia Belaïd collaborates with scholars based in France, Germany and United Kingdom. Sonia Belaïd's co-authors include Pierre-Alain Fouque, Gilles Barthe, Pierre-Yves Strub, Benjamin Grégoire, François Dupressoir, François‐Xavier Standaert, Vincent Grosso, Thomas Espitau, Matthieu Rivain and Mehdi Tibouchi and has published in prestigious journals such as Lecture notes in computer science, Journal of Cryptology and IACR Transactions on Cryptographic Hardware and Embedded Systems.

In The Last Decade

Sonia Belaïd

7 papers receiving 149 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sonia Belaïd France	6	153	77	62	39	10	10	162
Vincent Grosso France	6	130 0.8×	92 1.2×	52 0.8×	25 0.6×	10 1.0×	18	135
Olivier Bronchain Belgium	8	125 0.8×	70 0.9×	56 0.9×	32 0.8×	19 1.9×	22	143
Thorben Moos Germany	8	142 0.9×	123 1.6×	55 0.9×	37 0.9×	39 3.9×	23	173
Shahram Rasoolzadeh Germany	6	158 1.0×	63 0.8×	82 1.3×	31 0.8×	23 2.3×	13	168
Ivica Nikolić Singapore	8	105 0.7×	23 0.3×	82 1.3×	17 0.4×	10 1.0×	16	123
Oliver Mischke Germany	8	118 0.8×	82 1.1×	36 0.6×	29 0.7×	16 1.6×	10	130
Chun Guo China	6	112 0.7×	27 0.4×	71 1.1×	13 0.3×	17 1.7×	28	125
Jie Guan China	8	174 1.1×	38 0.5×	141 2.3×	14 0.4×	14 1.4×	56	199
Nilanjan Datta India	8	183 1.2×	29 0.4×	123 2.0×	14 0.4×	7 0.7×	35	196
Kexin Qiao China	5	94 0.6×	22 0.3×	74 1.2×	17 0.4×	4 0.4×	14	105

Countries citing papers authored by Sonia Belaïd

Since Specialization

Citations

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

Fields of papers citing papers by Sonia Belaïd

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sonia Belaïd

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

All Works

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10 of 10 papers shown

1.

Belaïd, Sonia, et al.. (2025). Further Improvements in AES Execution over TFHE. 2(1).

2.

Barthe, Gilles, Sonia Belaïd, Thomas Espitau, et al.. (2023). Masking the GLP Lattice-Based Signature Scheme at Any Order. Journal of Cryptology. 37(1).

3.

Belaïd, Sonia, et al.. (2022). IronMask: Versatile Verification of Masking Security. HAL (Le Centre pour la Communication Scientifique Directe). 142–160. 8 indexed citations

4.

Belaïd, Sonia & Matthieu Rivain. (2022). High Order Side-Channel Security for Elliptic-Curve Implementations. IACR Transactions on Cryptographic Hardware and Embedded Systems. 238–276. 2 indexed citations

5.

Belaïd, Sonia, et al.. (2020). Smart Card Research and Advanced Applications. Lecture notes in computer science.

6.

Barthe, Gilles, Sonia Belaïd, Thomas Espitau, et al.. (2019). GALACTICS. 2147–2164. 15 indexed citations

7.

Barthe, Gilles, Sonia Belaïd, François Dupressoir, et al.. (2019). Improved parallel mask refreshing algorithms: generic solutions with parametrized non-interference and automated optimizations. Journal of Cryptographic Engineering. 10(1). 17–26. 8 indexed citations

8.

Barthe, Gilles, Sonia Belaïd, François Dupressoir, et al.. (2016). Strong Non-Interference and Type-Directed Higher-Order Masking. SPIRE - Sciences Po Institutional REpository. 116–129. 106 indexed citations

9.

Belaïd, Sonia, Fabrizio De Santis, Johann Heyszl, et al.. (2014). Towards fresh re-keying with leakage-resilient PRFs: cipher design principles and analysis. Journal of Cryptographic Engineering. 11 indexed citations

10.

Belaïd, Sonia, Vincent Grosso, & François‐Xavier Standaert. (2014). Masking and leakage-resilient primitives: One, the other(s) or both?. Cryptography and Communications. 7(1). 163–184. 12 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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