Louis Ferré
- Statistics and Probability top 2%
- Artificial Intelligence
- Control and Systems Engineering
- Computer Vision and Pattern Recognition
- Analytical Chemistry
- Co-authors
- Nathalie VillaPhilippe VieuHenri CaussinusJacques DauxoisAnne‐Françoise YaoMartin PaegelowPascal SardaFrédéric Ferraty
- Topics
- Advanced Statistical Methods and Models (6 papers)Statistical Methods and Inference (3 papers)Image and Signal Denoising Methods (2 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of the American Statistical AssociationComputational Statistics & Data Analysis
- Partner nations
- France
In The Last Decade
Louis Ferré
15 papers receiving 303 citations
Peers
Comparison fields: 5 of 106
- Statistics and Probability 155
- Artificial Intelligence 62
- Control and Systems Engineering 47
- Computer Vision and Pattern Recognition 35
- Analytical Chemistry 35
Countries citing papers authored by Louis Ferré
This map shows the geographic impact of Louis Ferré'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 Louis Ferré with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Louis Ferré more than expected).
Fields of papers citing papers by Louis Ferré
This network shows the impact of papers produced by Louis Ferré. 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 Louis Ferré. The network helps show where Louis Ferré may publish in the future.
Co-authorship network of co-authors of Louis Ferré
This figure shows the co-authorship network connecting the top 25 collaborators of Louis Ferré. A scholar is included among the top collaborators of Louis Ferré 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 Louis Ferré. Louis Ferré is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 9 | |
| 3 | Multivariate Functional Data Clusterization by PCA in Sobolev Space Using Wavelets | 6 |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 18 | |
| 7 | Multi-Layer Neural Network with functional inputs: an inverse regression approach | 2 |
| 8 | 1 | |
| 9 | 13 | |
| 10 | 28 | |
| 11 | 83 | |
| 12 | 107 | |
| 13 | 9 | |
| 14 | 24 | |
| 15 | 12 | |
| 16 | Analyse en composantes principales d'individus définis par les paramètres d'un modèle | 4 |
About Louis Ferré
Louis Ferré is a scholar working on Statistics and Probability, Analytical Chemistry and Signal Processing, having authored 16 papers that have together received 319 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (6 papers), Statistical Methods and Inference (3 papers) and Image and Signal Denoising Methods (2 papers). The work is most often cited by research in Statistics and Probability (155 citations), Analytical Chemistry (35 citations) and Statistics, Probability and Uncertainty (21 citations). Louis Ferré has collaborated with scholars based in France. Frequent co-authors include Nathalie Villa, Philippe Vieu, Henri Caussinus, Jacques Dauxois, Anne‐Françoise Yao, Martin Paegelow, Pascal Sarda, Frédéric Ferraty and Stéphane Puechmorel. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Computational Statistics & Data Analysis.
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.