Stéphane Chrétien

828 total citations
53 papers, 428 citations indexed

About

Stéphane Chrétien is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Stéphane Chrétien has authored 53 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computational Mechanics, 9 papers in Computer Vision and Pattern Recognition and 9 papers in Biomedical Engineering. Recurrent topics in Stéphane Chrétien's work include Sparse and Compressive Sensing Techniques (19 papers), Medical Imaging Techniques and Applications (6 papers) and Advanced Optimization Algorithms Research (5 papers). Stéphane Chrétien is often cited by papers focused on Sparse and Compressive Sensing Techniques (19 papers), Medical Imaging Techniques and Applications (6 papers) and Advanced Optimization Algorithms Research (5 papers). Stéphane Chrétien collaborates with scholars based in France, United Kingdom and United States. Stéphane Chrétien's co-authors include Alfred O. Hero, Florence Forbes, Gilles Celeux, Christophe Biernacki, Christophe Guyeux, Juan‐Pablo Ortega, Wenjuan Sun, Manuchehr Soleimani, Pascal Bondon and Jean‐Marc Nicod and has published in prestigious journals such as Bioinformatics, Journal of Applied Physics and IEEE Transactions on Information Theory.

In The Last Decade

Stéphane Chrétien

47 papers receiving 412 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stéphane Chrétien France 11 150 78 62 55 47 53 428
Johannes Schmidt-Hieber Netherlands 8 211 1.4× 81 1.0× 28 0.5× 101 1.8× 17 0.4× 22 535
Keith D. Copsey United Kingdom 5 105 0.7× 56 0.7× 19 0.3× 18 0.3× 39 0.8× 10 351
Yves Delignon France 11 180 1.2× 151 1.9× 30 0.5× 43 0.8× 24 0.5× 33 575
Byungsoo Kim South Korea 15 59 0.4× 287 3.7× 64 1.0× 66 1.2× 53 1.1× 49 652
Tilo Strutz Germany 9 76 0.5× 198 2.5× 46 0.7× 15 0.3× 32 0.7× 45 543
N. Benjamin Erichson United States 10 89 0.6× 89 1.1× 184 3.0× 23 0.4× 17 0.4× 21 497
Michiel Debruyne Belgium 11 163 1.1× 70 0.9× 31 0.5× 212 3.9× 16 0.3× 16 634
Kie B. Eom United States 13 122 0.8× 278 3.6× 50 0.8× 25 0.5× 36 0.8× 39 605
Hongwei Dong China 11 133 0.9× 120 1.5× 44 0.7× 17 0.3× 11 0.2× 29 507
Takashi Takenouchi Japan 9 174 1.2× 75 1.0× 19 0.3× 106 1.9× 14 0.3× 38 352

Countries citing papers authored by Stéphane Chrétien

Since Specialization
Citations

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

Fields of papers citing papers by Stéphane Chrétien

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stéphane Chrétien

This figure shows the co-authorship network connecting the top 25 collaborators of Stéphane Chrétien. A scholar is included among the top collaborators of Stéphane Chrétien 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 Stéphane Chrétien. Stéphane Chrétien 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.
Guyeux, Christophe, et al.. (2024). Optimized Spectral Clustering Methods For Potentially Divergent Biological Sequences. 8(3). 58–87. 2 indexed citations
2.
Jacques, Julien, et al.. (2024). A mixture of experts regression model for functional response with functional covariates. Statistics and Computing. 34(5).
3.
Chrétien, Stéphane, et al.. (2024). 3D Denoising Diffusion Probabilistic Models for 3D microstructure image generation of fuel cell electrodes. Computational Materials Science. 248. 113596–113596. 6 indexed citations
4.
Sun, Wenjuan, et al.. (2023). The realisation of fast X-ray computed tomography using a limited number of projection images for dimensional metrology. NDT & E International. 137. 102852–102852. 8 indexed citations
5.
Guyeux, Christophe, et al.. (2022). Using data science to predict firemen interventions: a case study. The Journal of Supercomputing. 79(7). 7160–7175.
6.
7.
Chrétien, Stéphane, et al.. (2020). Clustering on Laplacian-embedded latent manifolds when clusters overlap. Measurement Science and Technology. 31(11). 114001–114001. 1 indexed citations
8.
Guyeux, Christophe, et al.. (2019). SpCLUST: Towards a fast and reliable clustering for potentially divergent biological sequences. Computers in Biology and Medicine. 114. 103439–103439. 6 indexed citations
9.
Chrétien, Stéphane, et al.. (2019). On a new method for controlling the entire spectrum in the problem of column subset selection. Expositiones Mathematicae. 37(3). 314–321. 1 indexed citations
10.
Chrétien, Stéphane & Paul Clarkson. (2018). A fast algorithm for the semi-definite relaxation of the state estimation problem in power grids. Journal of Industrial and Management Optimization. 16(1). 431–443.
11.
Chrétien, Stéphane, et al.. (2017). On the subdifferential of symmetric convex functions of the spectrum for symmetric and orthogonally decomposable tensors. Linear Algebra and its Applications. 542. 84–100. 1 indexed citations
12.
Chrétien, Stéphane, et al.. (2017). On the pinning controllability of complex networks using perturbation theory of extreme singular values. application to synchronisation in power grids. Numerical Algebra Control and Optimization. 7(3). 289–299. 1 indexed citations
13.
Chouly, Franz, et al.. (2017). A clustering package for nucleotide sequences using Laplacian Eigenmaps and Gaussian Mixture Model. Computers in Biology and Medicine. 93. 66–74. 10 indexed citations
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16.
Maillard, François, Olivier Girardclos, Christophe Guyeux, et al.. (2016). Dendrochemical assessment of mercury releases from a pond and dredged-sediment landfill impacted by a chlor-alkali plant. Environmental Research. 148. 122–126. 36 indexed citations
17.
Chrétien, Stéphane, et al.. (2015). Von Neumann's trace inequality for tensors. Linear Algebra and its Applications. 482. 149–157. 8 indexed citations
18.
Jézéquel, Pascal, Hamza Lasla, Wilfried Gouraud, et al.. (2015). Gene-expression signature functional annotation of breast cancer tumours in function of age. BMC Medical Genomics. 8(1). 80–80. 6 indexed citations
19.
Pleydell, David & Stéphane Chrétien. (2009). Mixtures of GAMs for habitat suitability analysis with overdispersed presence/absence data. Computational Statistics & Data Analysis. 54(5). 1405–1418. 8 indexed citations
20.
Celeux, Gilles, et al.. (2001). A Component-Wise EM Algorithm for Mixtures. Journal of Computational and Graphical Statistics. 10(4). 697–712. 88 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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