Marc Castella

22 papers receiving 196 citations

Peers

Marc Castella
Comparison fields: 5 of 41
  • Computational Mathematics 8
  • Signal Processing 140
  • Analytical Chemistry 52
  • Computational Mechanics 52
  • Computer Vision and Pattern Recognition 40
Replace V. G. Reju with:
V. G. Reju Singapore
Zhijian Yuan China
Gilles Chabriel France
Te-Won Lee United States
Khurram Waheed United States
Norihiro Takamune Japan
Sze Fong Yau Hong Kong
Toshihiro Furukawa Japan
Zilan Hu China
Siow Yong Low Australia
Marc Castella relative to V. G. Reju Singapore V. G. Reju's profile →
Citations per field
00.5×2.7×
V. G. Reju · 1×
Citations per year

Countries citing papers authored by Marc Castella

Since Specialization
Citations

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

Fields of papers citing papers by Marc Castella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Marc Castella, 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 Marc Castella Line = papers co-authored together Marc Castella links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200639
2 201631
3 200421
4 201121
5 200911
6 202210
7 20209
8 20088
9 20058
10 20108
11 20206
12 20045
13 20205
14 20195
15 20195
16 20133
17 20203
18 20182
19 20072
20 20172

About Marc Castella

Marc Castella is a scholar working on Signal Processing, Computational Mechanics, Analytical Chemistry, Control and Systems Engineering and Computer Vision and Pattern Recognition, having authored 23 papers that have together received 206 indexed citations. Recurring topics across this work include Blind Source Separation Techniques (13 papers), Spectroscopy and Chemometric Analyses (8 papers), Sparse and Compressive Sensing Techniques (8 papers), Speech and Audio Processing (8 papers), Image and Signal Denoising Methods (4 papers), Photoacoustic and Ultrasonic Imaging (4 papers), Neural Networks and Applications (3 papers) and Control Systems and Identification (2 papers). The work is most often cited by research in Computational Mathematics (8 citations), Signal Processing (140 citations), Analytical Chemistry (52 citations), Computational Mechanics (52 citations) and Computer Vision and Pattern Recognition (40 citations). Marc Castella has collaborated with scholars based in France, United States and United Arab Emirates. Frequent co-authors include Jean‐Christophe Pesquet, Éric Moreau, Mohammed Nabil El Korso, Houcem Gazzah, Jean-Pierre Delmas, Athina P. Petropulu, Sagar Verma, François Malrait, Laurent Duval and Pascal Bianchi. Their work appears in journals such as IEEE Transactions on Signal Processing, Signal Processing, IEEE Signal Processing Letters, IEEE Transactions on Industrial Electronics and EURASIP Journal on Advances in Signal Processing.

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