Christophe Guyeux

3.2k total citations
137 papers, 1.6k citations indexed

About

Christophe Guyeux is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Christophe Guyeux has authored 137 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 37 papers in Computer Vision and Pattern Recognition and 33 papers in Artificial Intelligence. Recurrent topics in Christophe Guyeux's work include Chaos-based Image/Signal Encryption (31 papers), Genomics and Phylogenetic Studies (19 papers) and Energy Efficient Wireless Sensor Networks (16 papers). Christophe Guyeux is often cited by papers focused on Chaos-based Image/Signal Encryption (31 papers), Genomics and Phylogenetic Studies (19 papers) and Energy Efficient Wireless Sensor Networks (16 papers). Christophe Guyeux collaborates with scholars based in France, Lebanon and China. Christophe Guyeux's co-authors include Jacques M. Bahi, Didier Hocquet, Xavier Bertrand, Jean-François Couchot, Benoı̂t Valot, Abdallah Makhoul, Mohammed Bakiri, Pascal Cholley, Mourad Hakem and Dominique Blanc and has published in prestigious journals such as Bioinformatics, PLoS ONE and The Journal of Physical Chemistry B.

In The Last Decade

Christophe Guyeux

123 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christophe Guyeux France 20 433 422 323 283 228 137 1.6k
Giri Narasimhan United States 31 1.4k 3.3× 382 0.9× 206 0.6× 182 0.6× 322 1.4× 142 3.6k
Balázs Kégl Canada 17 259 0.6× 221 0.5× 731 2.3× 511 1.8× 50 0.2× 43 2.0k
Luis Vielva Spain 17 342 0.8× 342 0.8× 71 0.2× 84 0.3× 114 0.5× 60 1.6k
Chuan Yi Tang Taiwan 23 596 1.4× 188 0.4× 83 0.3× 249 0.9× 270 1.2× 145 1.7k
Khalid Sayood United States 28 856 2.0× 264 0.6× 1.1k 3.3× 736 2.6× 455 2.0× 116 2.8k
Yang Qing China 20 344 0.8× 121 0.3× 146 0.5× 408 1.4× 323 1.4× 162 1.7k
Yoshikazu Nishikawa Japan 30 588 1.4× 186 0.4× 67 0.2× 262 0.9× 40 0.2× 202 2.9k
Yongjun Zheng China 20 142 0.3× 340 0.8× 75 0.2× 59 0.2× 80 0.4× 100 1.4k
Francis Y. L. Chin Hong Kong 26 2.4k 5.5× 82 0.2× 152 0.5× 528 1.9× 483 2.1× 89 4.5k
Junjie Li China 15 184 0.4× 156 0.4× 142 0.4× 430 1.5× 29 0.1× 55 1.2k

Countries citing papers authored by Christophe Guyeux

Since Specialization
Citations

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

Fields of papers citing papers by Christophe Guyeux

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christophe Guyeux

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

All Works

20 of 20 papers shown
1.
Zholdybayeva, Elena, Yuriy A. Skiba, Christophe Guyeux, et al.. (2025). Genomic characterization and epidemiology of Mycobacterium tuberculosis lineage 2 isolates from Kazakhstan. Scientific Reports. 15(1). 37715–37715.
2.
Goetz, Christophe, et al.. (2025). Predicting emergency department admissions using a machine-learning algorithm: a proof of concept with retrospective study. BMC Emergency Medicine. 25(1). 3–3. 3 indexed citations
3.
Wang, Qianxue, et al.. (2024). Designing higher-dimensional digital chaotic systems via reverse derivation of iterative function from strongly connected graph and its application. Expert Systems with Applications. 255. 124638–124638. 4 indexed citations
4.
Guyeux, Christophe, Philip Supply, Cyril Gaudin, et al.. (2024). Newly Identified Mycobacterium africanum Lineage 10, Central Africa. Emerging infectious diseases. 30(3). 560–563. 19 indexed citations
5.
Guyeux, Christophe, et al.. (2024). Firefighter Intervention Predictive Modeling: Reliability Assessment. 1–7. 1 indexed citations
6.
Gechter, Franck, et al.. (2024). Advancements and Challenges in Handwritten Text Recognition: A Comprehensive Survey. Journal of Imaging. 10(1). 18–18. 17 indexed citations
7.
Couturier, Raphaël, et al.. (2023). Characterization of a Driven Two-Level Quantum System by Supervised Learning. Entropy. 25(3). 446–446. 3 indexed citations
8.
Delarue, Patrice, et al.. (2023). Single-layer MoS2 solid-state nanopores for coarse-grained sequencing of proteins. Frontiers in Nanotechnology. 5. 3 indexed citations
9.
Chen, Xin, Simin Yu, Qianxue Wang, Christophe Guyeux, & Mengjie Wang. (2023). On the cryptanalysis of an image encryption algorithm with quantum chaotic map and DNA coding. Multimedia Tools and Applications. 82(27). 42717–42737. 7 indexed citations
10.
Guyeux, Christophe, et al.. (2022). Using data science to predict firemen interventions: a case study. The Journal of Supercomputing. 79(7). 7160–7175.
11.
Couchot, Jean-François, et al.. (2021). Privacy-Preserving Prediction of Victim’s Mortality and Their Need for Transportation to Health Facilities. IEEE Transactions on Industrial Informatics. 18(8). 5592–5599. 7 indexed citations
12.
Abdo, Jacques Bou, et al.. (2021). A Critical Review on the Implementation of Static Data Sampling Techniques to Detect Network Attacks. IEEE Access. 9. 138903–138938. 5 indexed citations
13.
Fernández‐González, Antonio J., Valérie Gautier, Philippe Silar, et al.. (2021). OSIP1 is a self‐assembling DUF3129 protein required to protect fungal cells from toxins and stressors. Environmental Microbiology. 23(3). 1594–1607. 3 indexed citations
14.
Abdo, Jacques Bou, et al.. (2020). An optimal cluster‐based routing algorithm for UCBSNs. Internet Technology Letters. 4(2). 1 indexed citations
15.
Makhoul, Abdallah, et al.. (2018). Efficient Hybrid Emergency Aware MAC Protocol for Wireless Body Sensor Networks. Sensors. 18(10). 3572–3572. 12 indexed citations
16.
Bakiri, Mohammed, et al.. (2018). A Hardware and Secure Pseudorandom Generator for Constrained Devices. IEEE Transactions on Industrial Informatics. 14(8). 3754–3765. 47 indexed citations
17.
Bakiri, Mohammed, Jean-François Couchot, & Christophe Guyeux. (2017). CIPRNG: A VLSI Family of Chaotic Iterations Post-Processings for $\mathbb {F}_{2}$ -Linear Pseudorandom Number Generation Based on Zynq MPSoC. IEEE Transactions on Circuits and Systems I Regular Papers. 65(5). 1628–1641. 17 indexed citations
18.
Couchot, Jean-François, Raphaël Couturier, Christophe Guyeux, & Michel Salomon. (2016). Steganalysis via a Convolutional Neural Network using Large Convolution Filters.. arXiv (Cornell University). 4 indexed citations
19.
Couchot, Jean-François, et al.. (2014). Pseudorandom number generators with balanced Gray codes. 469–475. 4 indexed citations
20.
Guyeux, Christophe, et al.. (2014). Introducing the truly chaotic finite state machines and theirs applications in security field. arXiv (Cornell University). 46. 1 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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