F. Castanié

69 papers receiving 531 citations

Peers

F. Castanié
Comparison fields: 5 of 65
  • Signal Processing 178
  • Computational Mechanics 138
  • Control and Systems Engineering 117
  • Artificial Intelligence 136
  • Computer Vision and Pattern Recognition 82
Replace Srdjan Stanković with:
Srdjan Stanković Montenegro
Marci Hoffman United States
E.I. Plotkin Canada
W. Kozek Austria
P. Yee Canada
Lisandro Lovisolo Brazil
Branko Kovačević Serbia
Johann F. Böhme Germany
B.F. La Scala Australia
J.F. Doherty United States
F. Castanié relative to Srdjan Stanković Montenegro Srdjan Stanković's profile →
Citations per field
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Srdjan Stanković · 1×
Citations per year

Countries citing papers authored by F. Castanié

Since Specialization
Citations

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

Fields of papers citing papers by F. Castanié

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside F. Castanié, 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 F. Castanié Line = papers co-authored together F. Castanié links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199772
2 199866
3 199351
4 200028
5 200022
6 199721
7 197918
8
Spectral analysis : parametric and non-parametric digital methods
200615
9 199014
10 200214
11 199513
12 199913
13 200211
14 199910
15 200210
16 200210
17 20079
18 19749
19 20038
20 19848

About F. Castanié

F. Castanié is a scholar working on Signal Processing, Electrical and Electronic Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 89 papers that have together received 558 indexed citations. Recurring topics across this work include Blind Source Separation Techniques (24 papers), Advanced Adaptive Filtering Techniques (18 papers), Neural Networks and Applications (15 papers), Image and Signal Denoising Methods (13 papers), Wireless Communication Networks Research (9 papers), Advanced Wireless Communication Techniques (9 papers), Fault Detection and Control Systems (7 papers) and Control Systems and Identification (7 papers). The work is most often cited by research in Signal Processing (178 citations), Computational Mechanics (138 citations), Control and Systems Engineering (117 citations), Artificial Intelligence (136 citations) and Computer Vision and Pattern Recognition (82 citations). F. Castanié has collaborated with scholars based in France, United States and Mexico. Frequent co-authors include N.J. Bershad, Mohamed Ibnkahla, Daniel Roviras, Olivier Besson, J. Sombrin, Corinne Mailhes, Mounir Ghogho, Alfonso Prieto‐Guerrero, Jean‐Yves Tourneret and Alain Mallet. Their work appears in journals such as Signal Processing, IEEE Transactions on Signal Processing, Proceedings of the IEEE, European Transactions on Telecommunications and The Journal of Physical Chemistry C.

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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