Gérard Favier

2.9k total citations
143 papers, 1.7k citations indexed

About

Gérard Favier is a scholar working on Control and Systems Engineering, Computational Mathematics and Signal Processing. According to data from OpenAlex, Gérard Favier has authored 143 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Control and Systems Engineering, 53 papers in Computational Mathematics and 47 papers in Signal Processing. Recurrent topics in Gérard Favier's work include Tensor decomposition and applications (53 papers), Control Systems and Identification (44 papers) and Advanced Adaptive Filtering Techniques (42 papers). Gérard Favier is often cited by papers focused on Tensor decomposition and applications (53 papers), Control Systems and Identification (44 papers) and Advanced Adaptive Filtering Techniques (42 papers). Gérard Favier collaborates with scholars based in France, Brazil and Tunisia. Gérard Favier's co-authors include André L. F. de Almeida, Alain Y. Kibangou, João Mota, W.C. Amaral, Carlos Alexandre Rolim Fernandes, Ricardo J.G.B. Campello, João Marcos Travassos Romano, Rémy Boyer, Moha M’Rabet Hassani and Guy A. Dumont and has published in prestigious journals such as Automatica, IEEE Transactions on Signal Processing and Sensors.

In The Last Decade

Gérard Favier

130 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gérard Favier France 24 690 615 531 519 409 143 1.7k
Alain Y. Kibangou France 18 94 0.1× 135 0.2× 221 0.4× 406 0.8× 140 0.3× 73 890
Phillip A. Regalia United States 11 271 0.4× 147 0.2× 102 0.2× 62 0.1× 237 0.6× 43 740
P.A. Regalia France 21 42 0.1× 383 0.6× 102 0.2× 357 0.7× 816 2.0× 55 1.6k
A. Venetsanopoulos Canada 18 46 0.1× 255 0.4× 110 0.2× 79 0.2× 189 0.5× 84 1.1k
Yanning Shen United States 17 35 0.1× 246 0.4× 147 0.3× 48 0.1× 374 0.9× 74 1.2k
Panos P. Markopoulos United States 13 110 0.2× 101 0.2× 56 0.1× 38 0.1× 238 0.6× 70 789
Xianpeng Wang China 26 49 0.1× 760 1.2× 194 0.4× 37 0.1× 194 0.5× 151 2.1k
George N. Karystinos Greece 15 22 0.0× 547 0.9× 357 0.7× 44 0.1× 234 0.6× 66 1.1k
Z.-Q. Luo United States 10 17 0.0× 507 0.8× 574 1.1× 94 0.2× 693 1.7× 18 2.0k

Countries citing papers authored by Gérard Favier

Since Specialization
Citations

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

Fields of papers citing papers by Gérard Favier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gérard Favier

This figure shows the co-authorship network connecting the top 25 collaborators of Gérard Favier. A scholar is included among the top collaborators of Gérard Favier 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 Gérard Favier. Gérard Favier 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.
Favier, Gérard, et al.. (2023). Semi-blind receivers based on a coupled nested Tucker-PARAFAC model for dual-polarized MIMO systems using combined TST and MSMKron codings. Digital Signal Processing. 137. 104043–104043. 2 indexed citations
2.
Fernandes, Carlos Alexandre Rolim, et al.. (2023). Doubly coupled nested tensor decompositions with application to multirelay multicarrier MIMO communication networks. Digital Signal Processing. 140. 104143–104143. 2 indexed citations
3.
Favier, Gérard & Alain Y. Kibangou. (2023). Tensor-Based Approaches for Nonlinear and Multilinear Systems Modeling and Identification. Algorithms. 16(9). 443–443. 3 indexed citations
4.
Boyer, Rémy, et al.. (2015). Statistical efficiency of structured cpd estimation applied to Wiener-Hammerstein modeling. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
5.
Favier, Gérard, et al.. (2011). Tensor space–time (TST) coding for MIMO wireless communication systems. Signal Processing. 92(4). 1079–1092. 43 indexed citations
6.
Kibangou, Alain Y. & Gérard Favier. (2008). Blind equalization of nonlinear channels using a tensor decomposition with code/space/time diversities. Signal Processing. 89(2). 133–143. 11 indexed citations
7.
Favier, Gérard, et al.. (2007). Blind MIMO channel identification using cumulant tensor decomposition. HAL (Le Centre pour la Communication Scientifique Directe).
8.
Kibangou, Alain Y., Gérard Favier, & André L. F. de Almeida. (2006). Blind Identification of Series-Cascade Nonlinear Channels. 44. 422–426. 1 indexed citations
9.
Almeida, André L. F. de, Gérard Favier, & João Mota. (2006). PARAFAC-based unified tensor modeling for wireless communication systems with application to blind multiuser equalization. Signal Processing. 87(2). 337–351. 76 indexed citations
10.
Fernandes, Carlos Alexandre Rolim, João Mota, & Gérard Favier. (2005). Decision directed algorithms for blind equalization based on constant modulus criteria. 124(7). 368–73. 1 indexed citations
11.
Favier, Gérard, et al.. (2005). The use of orthonormal bases in equalization structures. 400–404.
12.
Almeida, André L. F. de, Gérard Favier, & João Mota. (2005). Parafac Receiver For Blind Multiuser Equalization In Wireless Communication Systems With Temporal Oversampling. European Signal Processing Conference. 1–4. 4 indexed citations
13.
Favier, Gérard, et al.. (2004). Identification of PARAFAC-Volterra cubic models using an Alternating Recursive Least Squares algorithm. European Signal Processing Conference. 1903–1906. 8 indexed citations
14.
Kibangou, Alain Y., et al.. (2004). Third-order Volterra kernels complexity reduction using PARAFAC. 3 indexed citations
15.
Arruda, Lúcia Valéria Ramos de, Gérard Favier, & W.C. Amaral. (2002). A comparative study of robust parameter estimation methods. International Conference on Acoustics, Speech, and Signal Processing. 18. 2967–2970.
16.
Campello, Ricardo J.G.B., W.C. Amaral, & Gérard Favier. (2001). Optimal Laguerre series expansion of discrete volterra models. 372–377. 12 indexed citations
17.
Oliveira, Gustavo H. C., W.C. Amaral, & Gérard Favier. (1999). Adaptive Predictive Controller Using Orthonormal Series Functions. International Journal of Applied Mathematics and Computer Science. 9(1). 175–191. 2 indexed citations
18.
Abderrahim, Kamel, Ridha Ben Abdennour, Faouzi M’Sahli, Mekki Ksouri, & Gérard Favier. (1999). A new general relationship for a higher-order statistics based identification. 1660–1665. 2 indexed citations
19.
Dembélé, Doulaye & Gérard Favier. (1998). Recursive estimation of fourth-order cumulants with application to identification. Signal Processing. 68(2). 127–139. 13 indexed citations
20.
Favier, Gérard. (1982). Filtrage, modélisation et identification de systèmes linéaires stochastiques à temps discret. 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.

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