P. Roussel-Ragot

490 total citations
8 papers, 280 citations indexed

About

P. Roussel-Ragot is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, P. Roussel-Ragot has authored 8 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 3 papers in Control and Systems Engineering and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in P. Roussel-Ragot's work include Neural Networks and Applications (6 papers), Fault Detection and Control Systems (3 papers) and Image and Signal Denoising Methods (2 papers). P. Roussel-Ragot is often cited by papers focused on Neural Networks and Applications (6 papers), Fault Detection and Control Systems (3 papers) and Image and Signal Denoising Methods (2 papers). P. Roussel-Ragot collaborates with scholars based in France and China. P. Roussel-Ragot's co-authors include Gérard Dreyfus, L. Personnaz, Sylvie Marcos, Odile Macchi, Bruce Denby, Christophe Vignat and Kele Xu and has published in prestigious journals such as Neural Computation, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems and International Journal of Circuit Theory and Applications.

In The Last Decade

P. Roussel-Ragot

8 papers receiving 257 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P. Roussel-Ragot France 7 177 112 53 26 22 8 280
William Finnoff Germany 4 179 1.0× 42 0.4× 28 0.5× 12 0.5× 17 0.8× 8 249
P. Campolucci Italy 8 165 0.9× 97 0.9× 73 1.4× 64 2.5× 7 0.3× 19 269
Liying Ma Canada 6 183 1.0× 65 0.6× 33 0.6× 49 1.9× 10 0.5× 16 303
Guang Zheng United Kingdom 6 159 0.9× 100 0.9× 10 0.2× 29 1.1× 11 0.5× 11 344
Yan Xiong China 12 186 1.1× 51 0.5× 23 0.4× 43 1.7× 10 0.5× 32 293
Murat Yasar United States 8 77 0.4× 160 1.4× 38 0.7× 29 1.1× 16 0.7× 24 325
Jordan Freitas United States 7 127 0.7× 76 0.7× 26 0.5× 26 1.0× 8 0.4× 12 214
J. L. Bernier Spain 8 203 1.1× 81 0.7× 35 0.7× 53 2.0× 4 0.2× 13 294
K.J. Åström Sweden 5 84 0.5× 223 2.0× 29 0.5× 18 0.7× 5 0.2× 6 306
Guocheng Li China 7 196 1.1× 46 0.4× 13 0.2× 36 1.4× 5 0.2× 17 305

Countries citing papers authored by P. Roussel-Ragot

Since Specialization
Citations

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

Fields of papers citing papers by P. Roussel-Ragot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P. Roussel-Ragot. 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 P. Roussel-Ragot. The network helps show where P. Roussel-Ragot may publish in the future.

Co-authorship network of co-authors of P. Roussel-Ragot

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

All Works

8 of 8 papers shown
1.
Xu, Kele, et al.. (2016). An Articulatory-Based Singing Voice Synthesis Using Tongue and Lips Imaging. HAL (Le Centre pour la Communication Scientifique Directe). 21 indexed citations
2.
Dreyfus, Gérard, Odile Macchi, Sylvie Marcos, et al.. (2003). Adaptive training of feedback neural networks for non-linear filtering. 550–559. 3 indexed citations
3.
Roussel-Ragot, P., L. Personnaz, Gérard Dreyfus, et al.. (2002). Neural network training schemes for non-linear adaptive filtering and modelling. i. 61–66. 9 indexed citations
4.
Roussel-Ragot, P., et al.. (2002). The selection of neural models of nonlinear dynamical systems by statistical tests. 229–237. 6 indexed citations
5.
Roussel-Ragot, P., et al.. (1994). Training recurrent neural networks: why and how? An illustration in dynamical process modeling. IEEE Transactions on Neural Networks. 5(2). 178–184. 85 indexed citations
6.
Roussel-Ragot, P., et al.. (1993). Neural Networks and Nonlinear Adaptive Filtering: Unifying Concepts and New Algorithms. Neural Computation. 5(2). 165–199. 116 indexed citations
7.
Marcos, Sylvie, Odile Macchi, Christophe Vignat, et al.. (1992). A unified framework for gradient algorithms used for filter adaptation and neural network training. International Journal of Circuit Theory and Applications. 20(2). 159–200. 14 indexed citations
8.
Roussel-Ragot, P. & Gérard Dreyfus. (1990). A problem independent parallel implementation of simulated annealing: models and experiments. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 9(8). 827–835. 26 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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