Philippe Thomas

2.7k total citations · 2 hit papers
55 papers, 1.9k citations indexed

About

Philippe Thomas is a scholar working on Control and Systems Engineering, Artificial Intelligence and Industrial and Manufacturing Engineering. According to data from OpenAlex, Philippe Thomas has authored 55 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Control and Systems Engineering, 15 papers in Artificial Intelligence and 11 papers in Industrial and Manufacturing Engineering. Recurrent topics in Philippe Thomas's work include Neural Networks and Applications (13 papers), Fault Detection and Control Systems (9 papers) and Traffic Prediction and Management Techniques (7 papers). Philippe Thomas is often cited by papers focused on Neural Networks and Applications (13 papers), Fault Detection and Control Systems (9 papers) and Traffic Prediction and Management Techniques (7 papers). Philippe Thomas collaborates with scholars based in France, Canada and Algeria. Philippe Thomas's co-authors include Thierry Meynard, H. Foch, Jacques Courault, R. P. Jakob, Dimitri Lefebvre, Abdellah El Moudni, Yves Dutuit, Ėric Châtelet, Marie‐Christine Suhner and Hind Bril El-Haouzi and has published in prestigious journals such as Automatica, IEEE Transactions on Industrial Electronics and International Journal of Production Research.

In The Last Decade

Philippe Thomas

53 papers receiving 1.8k citations

Hit Papers

Fault detection and diagnosis in engineering systems 2002 2026 2010 2018 2002 2002 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Philippe Thomas France 15 1.2k 481 233 203 203 55 1.9k
Erik Frisk Sweden 26 1.6k 1.4× 227 0.5× 273 1.2× 296 1.5× 287 1.4× 157 2.2k
Mattias Krysander Sweden 21 1.3k 1.1× 176 0.4× 226 1.0× 335 1.7× 224 1.1× 91 1.6k
Matthew Daigle United States 22 1.1k 1.0× 271 0.6× 275 1.2× 338 1.7× 206 1.0× 91 1.8k
Teresa Escobet Spain 24 1.4k 1.2× 307 0.6× 111 0.5× 277 1.4× 240 1.2× 89 1.8k
Shuang‐Hua Yang China 18 542 0.5× 316 0.7× 110 0.5× 191 0.9× 134 0.7× 129 1.4k
Soumaya Yacout Canada 23 553 0.5× 199 0.4× 218 0.9× 289 1.4× 385 1.9× 99 1.7k
Frédéric Kratz France 16 836 0.7× 117 0.2× 124 0.5× 96 0.5× 266 1.3× 89 1.2k
Scott Poll United States 16 776 0.7× 522 1.1× 102 0.4× 274 1.3× 99 0.5× 44 1.5k
Andrew Hess United States 16 1.2k 1.0× 198 0.4× 261 1.1× 186 0.9× 336 1.7× 47 1.7k

Countries citing papers authored by Philippe Thomas

Since Specialization
Citations

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

Fields of papers citing papers by Philippe Thomas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philippe Thomas

This figure shows the co-authorship network connecting the top 25 collaborators of Philippe Thomas. A scholar is included among the top collaborators of Philippe Thomas 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 Philippe Thomas. Philippe Thomas 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.
Gaudreault, Jonathan, et al.. (2023). An image is worth 10,000 points: Neural network architectures and alternative log representations for lumber production prediction. Computers in Industry. 151. 103964–103964. 2 indexed citations
2.
Thomas, Philippe, et al.. (2023). MLP Based on Dissimilarity Features: An Application to Wood Sawing Simulator Metamodeling. SN Computer Science. 4(4). 1 indexed citations
3.
Thomas, Philippe, et al.. (2023). An object-oriented architecture to couple simulators and their machine learning surrogates models in the context of digital shadows. IFAC-PapersOnLine. 56(2). 10384–10389. 1 indexed citations
4.
El-Haouzi, Hind Bril, et al.. (2022). Toward digital twins for sawmill production planning and control: benefits, opportunities, and challenges. International Journal of Production Research. 61(7). 2190–2213. 21 indexed citations
5.
El-Haouzi, Hind Bril, et al.. (2022). A comparison of wood log dissimilarities to predict sawmill output with k-Nearest Neighbor algorithms. SPIRE - Sciences Po Institutional REpository. 1 indexed citations
6.
Thomas, Philippe, et al.. (2021). A kNN approach based on ICP metrics for 3D scans matching: an application to the sawing process. IFAC-PapersOnLine. 54(1). 396–401. 8 indexed citations
7.
El-Haouzi, Hind Bril, et al.. (2021). Coupling digital simulation and machine learning metamodel through an active learning approach in Industry 4.0 context. Computers in Industry. 133. 103529–103529. 22 indexed citations
8.
Thomas, Philippe, Marie‐Christine Suhner, & William Derigent. (2019). Relearning procedure to adapt pollutant prediction neural model: Choice of relearning algorithm. 1–8. 5 indexed citations
10.
Thomas, Philippe, William Derigent, & Marie‐Christine Suhner. (2016). Un ensemble classificateur pour la classification de données dynamiques. Application à un problème de qualité d’air intérieur. Journal Européen des Systèmes Automatisés. 49(3). 375–391. 1 indexed citations
11.
Thomas, Philippe & Marie‐Christine Suhner. (2014). A New Multilayer Perceptron Pruning Algorithm for Classification and Regression Applications. Neural Processing Letters. 42(2). 437–458. 31 indexed citations
12.
Thomas, Philippe, William Derigent, & Marie‐Christine Suhner. (2014). Prediction Model Adaptation Thanks to Control Chart Monitoring - Application to Pollutants Prediction. 172–179. 1 indexed citations
13.
Thomas, Philippe, et al.. (2013). Improving production process performance thanks to neuronal analysis. IFAC Proceedings Volumes. 46(7). 432–437. 2 indexed citations
14.
Thomas, Philippe, et al.. (2011). Multilayer perceptron for simulation models reduction: Application to a sawmill workshop. Engineering Applications of Artificial Intelligence. 24(4). 646–657. 15 indexed citations
15.
Lefebvre, Dimitri & Philippe Thomas. (2005). Parameter estimation for timed and continuous Petri nets: Application to the identification and monitoring of hybrid systems. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
16.
Labouré, Éric, et al.. (2005). Gate driver with efficient energy recovery for a 3 MHz resonant converter. 2. 10 pp.–P.10. 1 indexed citations
17.
Messai, Nadhir, Philippe Thomas, Abdellah El Moudni, et al.. (2004). Feed-forward and RTRL neural networks for the macroscopic traffic flow prediction and monitoring: the potential of each other. 53. 199–204. 2 indexed citations
18.
Thomas, Philippe, et al.. (2004). Performances evaluation of the traffic control in a single crossroad by Petri nets. 2. 157–160. 23 indexed citations
19.
Dutuit, Yves, et al.. (1997). Dependability modelling and evaluation by using stochastic Petri nets: application to two test cases. Reliability Engineering & System Safety. 55(2). 117–124. 105 indexed citations
20.
Bloch, Gérard, Mustapha Ouladsine, & Philippe Thomas. (1995). On-line fault diagnosis of dynamic systems via robust parameter estimation. Control Engineering Practice. 3(12). 1709–1717. 16 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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