C. Theys

684 citations
28 papers · 511 · h-index 7

Impact in

Papers in

C. Theys

25 papers receiving 478 citations

Peers

C. Theys
Comparison fields: 5 of 53
  • Control and Systems Engineering 323
  • Mechanical Engineering 168
  • Media Technology 37
  • Computer Vision and Pattern Recognition 72
  • Computational Mathematics 2
Replace Ge Ren with:
Ge Ren China
Michael Chen United States
David A. Neal United States
Carolyn R. Mercer United States
Tomas Olofsson Sweden
Haojie Xia China
Yavuz Ege Türkiye
Mark Whorton United States
C. Theys relative to Ge Ren China Ge Ren's profile →
Citations per field
00.5×12.3×
Ge Ren · 1×
Citations per year

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-authors

The 25 scholars most cited alongside C. Theys, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with C. Theys Line = papers co-authored together C. Theys links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999320
2 200867
3 200525
4 200914
5 199611
6
Split gradient method for nonnegative matrix factorization
201010
7 201310
8 19956
9 20116
10 20025
11 20115
12 20194
13 20104
14 20113
15 20013
16
Interferometric image reconstruction with sparse priors in union of bases
20103
17 19993
18 20162
19 20022
20
Méthode algorithmique de minimisation de fonctions d'écart entre champs de données. Application à la reconstruction d'images astrophysiques
20092

About C. Theys

C. Theys is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Media Technology, Control and Systems Engineering and Artificial Intelligence, having authored 28 papers that have together received 511 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (8 papers), Remote-Sensing Image Classification (7 papers), Machine Fault Diagnosis Techniques (6 papers), Image and Signal Denoising Methods (6 papers), Photoacoustic and Ultrasonic Imaging (4 papers), Target Tracking and Data Fusion in Sensor Networks (4 papers), Medical Imaging Techniques and Applications (3 papers) and Fault Detection and Control Systems (3 papers). The work is most often cited by research in Control and Systems Engineering (323 citations), Mechanical Engineering (168 citations), Media Technology (37 citations), Computer Vision and Pattern Recognition (72 citations) and Computational Mathematics (2 citations). C. Theys has collaborated with scholars based in France, Netherlands and Italy. Frequent co-authors include Michelle Vieira, Mohamed Benbouzid, H. Lantéri, A. Ferrari, Federico Benvenuto, Andrea Camera, M. Bertero, Cédric Richard, Nicolas Dobigeon and Jean‐Yves Tourneret. Their work appears in journals such as Astronomy and Astrophysics, Signal Processing, IEEE Transactions on Power Electronics, Lecture notes in physics and Inverse Problems.

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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