Mathilde Mougeot

425 total citations
32 papers, 181 citations indexed

About

Mathilde Mougeot is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Mathilde Mougeot has authored 32 papers receiving a total of 181 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 3 papers in Control and Systems Engineering. Recurrent topics in Mathilde Mougeot's work include Anomaly Detection Techniques and Applications (3 papers), Statistical Methods and Inference (3 papers) and Model Reduction and Neural Networks (3 papers). Mathilde Mougeot is often cited by papers focused on Anomaly Detection Techniques and Applications (3 papers), Statistical Methods and Inference (3 papers) and Model Reduction and Neural Networks (3 papers). Mathilde Mougeot collaborates with scholars based in France, United States and Canada. Mathilde Mougeot's co-authors include Robert Azencott, Bernard Angéniol, Nicolas Vayatis, Thibault Dairay, François Deheeger, Dominique Picard, Agnès Desolneux, Serge Muller, Riwal Plougonven and Zhijin Li and has published in prestigious journals such as Journal of the Royal Statistical Society Series B (Statistical Methodology), Computer Physics Communications and Neural Networks.

In The Last Decade

Mathilde Mougeot

24 papers receiving 170 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mathilde Mougeot France 7 65 58 23 20 18 32 181
Songyang Zhang United States 10 85 1.3× 56 1.0× 14 0.6× 66 3.3× 40 2.2× 33 300
A. Drosopoulos Greece 9 64 1.0× 22 0.4× 24 1.0× 99 5.0× 9 0.5× 22 373
Amar Mezache Algeria 14 102 1.6× 15 0.3× 11 0.5× 18 0.9× 7 0.4× 57 448
Lingchen Zhu United States 6 46 0.7× 86 1.5× 13 0.6× 15 0.8× 57 3.2× 13 315
Yongzhe Yuan China 7 53 0.8× 127 2.2× 11 0.5× 8 0.4× 5 0.3× 13 298
Hamid Reza Siahkoohi Iran 12 56 0.9× 102 1.8× 4 0.2× 7 0.3× 54 3.0× 55 477
Lianlei Lin China 10 44 0.7× 36 0.6× 13 0.6× 40 2.0× 11 0.6× 40 337
César Quilodrán-Casas United Kingdom 5 48 0.7× 15 0.3× 47 2.0× 35 1.8× 8 0.4× 8 249
Houpu Li China 6 56 0.9× 63 1.1× 5 0.2× 53 2.6× 3 0.2× 12 298
Chunlei Zhang China 11 108 1.7× 57 1.0× 16 0.7× 8 0.4× 32 1.8× 46 294

Countries citing papers authored by Mathilde Mougeot

Since Specialization
Citations

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

Fields of papers citing papers by Mathilde Mougeot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mathilde Mougeot

This figure shows the co-authorship network connecting the top 25 collaborators of Mathilde Mougeot. A scholar is included among the top collaborators of Mathilde Mougeot 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 Mathilde Mougeot. Mathilde Mougeot 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.
Dairay, Thibault, et al.. (2025). Geometry-aware framework for deep energy method: An application to structural mechanics with hyperelastic materials. Computer Physics Communications. 316. 109757–109757. 2 indexed citations
2.
Blot, Vincent, Nicolas Brunel, Vincent Chabridon, et al.. (2025). CONFORMAL APPROACH TO GAUSSIAN PROCESS SURROGATE EVALUATIONWITH MARGINAL COVERAGE GUARANTEES. SPIRE - Sciences Po Institutional REpository. 6(3). 37–68.
3.
Chabridon, Vincent, et al.. (2024). SENSITIVITY ANALYSES OF A MULTIPHYSICS LONG-TERM CLOGGING MODEL FOR STEAM GENERATORS. International Journal for Uncertainty Quantification. 15(1). 27–45. 1 indexed citations
4.
Jugnon, Vincent, et al.. (2024). Contrastive Learning: An Efficient Domain Adaptation Strategy for 2D Mammography Image Classification. SPIRE - Sciences Po Institutional REpository. 1–5. 1 indexed citations
5.
Li, Zhijin, et al.. (2023). Exploiting Patch Sizes and Resolutions for Multi-Scale Deep Learning in Mammogram Image Classification. Bioengineering. 10(5). 534–534. 9 indexed citations
6.
Truong, Charles, et al.. (2023). A Data Set for Fall Detection with Smart Floor Sensors. Image Processing On Line. 13. 183–197. 2 indexed citations
7.
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9.
Ripoll, Jean‐François, et al.. (2022). Exploring pitch-angle diffusion during high speed streams with neural networks. SPIRE - Sciences Po Institutional REpository. 1–4. 2 indexed citations
10.
Dairay, Thibault, et al.. (2022). Physics-informed neural networks for non-Newtonian fluid thermo-mechanical problems: An application to rubber calendering process. Engineering Applications of Artificial Intelligence. 114. 105176–105176. 1 indexed citations
11.
Plougonven, Riwal, et al.. (2021). Using Machine-Learning Methods to Improve Surface Wind Speed from the Outputs of a Numerical Weather Prediction Model. Boundary-Layer Meteorology. 179(1). 133–161. 13 indexed citations
12.
Truong, Charles, et al.. (2021). Bayesian Feature Discovery for Predictive Maintenance. 2021 29th European Signal Processing Conference (EUSIPCO). 1421–1425.
13.
Mougeot, Mathilde, et al.. (2021). KFC: A clusterwise supervised learning procedure based on the aggregation of distances. Journal of Statistical Computation and Simulation. 91(11). 2307–2327.
14.
Deheeger, François, et al.. (2021). Adversarial Weighting for Domain Adaptation in Regression. arXiv (Cornell University). 49–56. 27 indexed citations
15.
Mougeot, Mathilde, et al.. (2021). Constrained prediction time random forests using equivalent trees and genetic programming: application to fall detection model embedding. HAL (Le Centre pour la Communication Scientifique Directe). 1. 690–697. 1 indexed citations
16.
Mougeot, Mathilde, et al.. (2017). Fall detection using smart floor sensor and supervised learning. PubMed. 2017. 3445–3448. 19 indexed citations
17.
Faÿ, Gilles, et al.. (2016). anomaly detection on spectrograms using data-driven and fixed dictionary representations.. The European Symposium on Artificial Neural Networks. 1 indexed citations
18.
Mougeot, Mathilde & Robert Azencott. (2011). Traffic safety: non-linear causation for injury severity. WIT transactions on the built environment. 1. 241–251. 1 indexed citations
19.
Mougeot, Mathilde. (2007). Impact of new technologies for teaching statistics.
20.
Mougeot, Mathilde, Robert Azencott, & Bernard Angéniol. (1991). Image compression with back propagation: Improvement of the visual restoration using different cost functions. Neural Networks. 4(4). 467–476. 42 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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