C. Theys

679 total citations
27 papers, 472 citations indexed

About

C. Theys is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Media Technology. According to data from OpenAlex, C. Theys has authored 27 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 8 papers in Computational Mechanics and 7 papers in Media Technology. Recurrent topics in C. Theys's work include Sparse and Compressive Sensing Techniques (8 papers), Remote-Sensing Image Classification (7 papers) and Image and Signal Denoising Methods (6 papers). C. Theys is often cited by papers focused on Sparse and Compressive Sensing Techniques (8 papers), Remote-Sensing Image Classification (7 papers) and Image and Signal Denoising Methods (6 papers). C. Theys collaborates with scholars based in France, Netherlands and Italy. C. Theys's co-authors include Michelle Vieira, Mohamed Benbouzid, H. Lantéri, A. Ferrari, Federico Benvenuto, Andrea Camera, M. Bertero, Nicolas Dobigeon, Cédric Richard and Jean‐Yves Tourneret and has published in prestigious journals such as IEEE Transactions on Power Electronics, Astronomy and Astrophysics and Signal Processing.

In The Last Decade

C. Theys

24 papers receiving 439 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
C. Theys France	7	308	160	106	66	63	27	472
Michael Chen United States	9	298 1.0×	34 0.2×	70 0.7×	27 0.4×	50 0.8×	24	565
Carolyn R. Mercer United States	9	97 0.3×	77 0.5×	112 1.1×	32 0.5×	115 1.8×	41	427
David A. Neal United States	10	121 0.4×	32 0.2×	83 0.8×	35 0.5×	89 1.4×	20	504
Shuangbao Shu China	11	55 0.2×	49 0.3×	70 0.7×	39 0.6×	77 1.2×	70	363
Daniel Maier Germany	13	68 0.2×	108 0.7×	83 0.8×	53 0.8×	170 2.7×	47	482
Daniel Alazard France	18	698 2.3×	66 0.4×	39 0.4×	27 0.4×	13 0.2×	118	942
Ge Ren China	14	108 0.4×	94 0.6×	213 2.0×	25 0.4×	145 2.3×	72	543
Junling Wang China	12	219 0.7×	29 0.2×	78 0.7×	23 0.3×	38 0.6×	74	529
Yavuz Ege Türkiye	13	41 0.1×	264 1.6×	141 1.3×	127 1.9×	135 2.1×	38	577
Zhiqiang Wu China	11	124 0.4×	86 0.5×	52 0.5×	43 0.7×	17 0.3×	111	469

Countries citing papers authored by C. Theys

Since Specialization

Citations

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

Fields of papers citing papers by C. Theys

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. Theys

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Aimé, C., S. Prunet, C. Theys, A. Ferrari, & H. Lantéri. (2024). A new approach for the numerical calculation of diffraction patterns using starshades. Astronomy and Astrophysics. 686. A240–A240.

Theys, C., et al.. (2022). Simulation of inverse Fredholm reconstruction in a vignetting zone: application to ASPIICS. Astronomy and Astrophysics. 665. A109–A109. 1 indexed citations

Aimé, C., et al.. (2019). Principle of Fredholm image reconstruction in the vignetting zone of an externally occulted solar coronagraph. Astronomy and Astrophysics. 622. A212–A212. 4 indexed citations

Lantéri, H., C. Theys, & C. Aimé. (2015). Scale invariant divergences for signal and image reconstruction. 2162–2166.

Nguyen, Nam H., et al.. (2013). Supervised Nonlinear Unmixing of Hyperspectral Images Using a Pre-image Methods. EAS Publications Series. 59. 417–437. 8 indexed citations

Lantéri, H., C. Theys, & Cédric Richard. (2011). Nonnegative matrix factorization with regularization and sparsity-enforcing terms. 5. 97–100. 2 indexed citations

Lantéri, H., C. Theys, Cédric Richard, & David Mary. (2011). Regularized split gradient method for nonnegative matrix factorization. 3889. 1133–1136. 3 indexed citations

Schmidt, Frédéric, Sébastien Bourguignon, Stéphane Le Mouëlic, et al.. (2011). Accuracy and performance of linear unmixing techniques for detecting minerals on OMEGA/Mars express. SPIRE - Sciences Po Institutional REpository. 307. 1–4. 6 indexed citations

Theys, C., et al.. (2010). Split gradient method for nonnegative matrix factorization. European Signal Processing Conference. 1199–1203. 8 indexed citations

10.

Theys, C., Nicolas Dobigeon, Jean‐Yves Tourneret, & H. Lantéri. (2009). Linear unmixing of hyperspectral images using a scaled gradient method. HAL (Le Centre pour la Communication Scientifique Directe). 729–732. 13 indexed citations

11.

Lantéri, H. & C. Theys. (2005). Restoration of Astrophysical Images—The Case of Poisson Data with Additive Gaussian Noise. EURASIP Journal on Advances in Signal Processing. 2005(15). 22 indexed citations

12.

Vieira, Michelle, et al.. (2002). On the choice of prior for induction motor parameters estimation using MCMC methods. 192–195. 1 indexed citations

13.

Theys, C., Michelle Vieira, & A. Ferrari. (2002). Bayesian estimation of the parameters of a polynomial phase signal using MCMC methods. 5. 3553–3556. 5 indexed citations

14.

Vieira, Michelle & C. Theys. (2002). Bayesian analysis for the fault detection of three-phase induction machine. 4. 2237–2240. 2 indexed citations

15.

Theys, C., A. Ferrari, & Michelle Vieira. (2001). Marginal Bayesian analysis of polynomial-phase signals. Signal Processing. 81(1). 69–82. 2 indexed citations

16.

Benbouzid, Mohamed, Michelle Vieira, & C. Theys. (1999). Induction motors' faults detection and localization using stator current advanced signal processing techniques. IEEE Transactions on Power Electronics. 14(1). 14–22. 305 indexed citations

17.

Theys, C., et al.. (1999). A reversible jump sampler for polynomial-phase signals. 1833–1836 vol.4. 3 indexed citations

18.

Ferrari, A., et al.. (1996). Polynomial-phase signal analysis using stationary moments. Signal Processing. 54(3). 239–248. 11 indexed citations

19.

Ferrari, A., et al.. (1995). Doppler ambiguity resolution using staggered PRF with a new chirp sweep-rate estimation algorithm. IEE Proceedings - Radar Sonar and Navigation. 142(4). 191–194. 6 indexed citations

20.

Theys, C., et al.. (1992). Estimation of the fundamental frequency of a noisy sum of cisoids with harmonic related frequencies. 517–520 vol.5. 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.

Explore authors with similar magnitude of impact