Pierre Chauvet

850 total citations
60 papers, 477 citations indexed

About

Pierre Chauvet is a scholar working on Cognitive Neuroscience, Astronomy and Astrophysics and Artificial Intelligence. According to data from OpenAlex, Pierre Chauvet has authored 60 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cognitive Neuroscience, 9 papers in Astronomy and Astrophysics and 9 papers in Artificial Intelligence. Recurrent topics in Pierre Chauvet's work include Black Holes and Theoretical Physics (9 papers), Cosmology and Gravitation Theories (8 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Pierre Chauvet is often cited by papers focused on Black Holes and Theoretical Physics (9 papers), Cosmology and Gravitation Theories (8 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Pierre Chauvet collaborates with scholars based in France, Lebanon and Mexico. Pierre Chauvet's co-authors include Jean-Marie Marion, Bassam Daya, Mohamad Oueidat, Jorge L. Cervantes–Cota, O. Obregón, Anne Humeau‐Heurtier, Tomoyuki Sasaki, Mathieu Hatt, Clovis Tauber and G.A. Chauvet and has published in prestigious journals such as Scientific Reports, Annals of Oncology and Neural Networks.

In The Last Decade

Pierre Chauvet

56 papers receiving 459 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pierre Chauvet France 12 106 106 76 71 56 60 477
Edward Kim United States 12 190 1.8× 62 0.6× 84 1.1× 6 0.1× 5 0.1× 36 572
Hao Hu China 15 120 1.1× 9 0.1× 43 0.6× 6 0.1× 24 0.4× 78 1.0k
Kevin Sprague Canada 7 61 0.6× 15 0.1× 8 0.1× 50 0.7× 23 0.4× 11 384
Mike Folk United States 8 77 0.7× 8 0.1× 10 0.1× 8 0.1× 25 0.4× 20 456
Jordan Ott United States 9 71 0.7× 10 0.1× 22 0.3× 10 0.1× 72 1.3× 13 370
Alexandre Benoît France 15 138 1.3× 16 0.2× 96 1.3× 28 0.4× 5 0.1× 57 896
Zhenzhen Wang China 10 227 2.1× 46 0.4× 28 0.4× 14 0.2× 4 0.1× 33 434
Fred L. Drake 6 112 1.1× 17 0.2× 5 0.1× 4 0.1× 18 0.3× 10 420
K. Venugopal United States 9 122 1.2× 39 0.4× 50 0.7× 72 1.0× 1 0.0× 28 404
P. Manimaran India 14 21 0.2× 8 0.1× 50 0.7× 33 0.5× 20 0.4× 30 533

Countries citing papers authored by Pierre Chauvet

Since Specialization
Citations

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

Fields of papers citing papers by Pierre Chauvet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pierre Chauvet

This figure shows the co-authorship network connecting the top 25 collaborators of Pierre Chauvet. A scholar is included among the top collaborators of Pierre Chauvet 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 Pierre Chauvet. Pierre Chauvet 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.
Marion, Jean-Marie, et al.. (2025). Reconstruction-based approach for chest X-ray image segmentation and enhanced multi-label chest disease classification. Artificial Intelligence in Medicine. 165. 103135–103135. 1 indexed citations
2.
Marion, Jean-Marie, et al.. (2024). A Systematic Review: Classification of Lung Diseases from Chest X-Ray Images Using Deep Learning Algorithms. SN Computer Science. 5(4). 4 indexed citations
3.
Campone, Mario, Véronique Verrièle, Jean-Marie Marion, et al.. (2024). Learning to Train and to Explain a Deep Survival Model with Large-Scale Ovarian Cancer Transcriptomic Data. Biomedicines. 12(12). 2881–2881.
4.
Marion, Jean-Marie, et al.. (2024). Advancing chest X-ray diagnostics: A novel CycleGAN-based preprocessing approach for enhanced lung disease classification in ChestX-Ray14. Computer Methods and Programs in Biomedicine. 259. 108518–108518. 11 indexed citations
5.
Marion, Jean-Marie, et al.. (2023). Enhancing histopathological image classification of invasive ductal carcinoma using hybrid harmonization techniques. Scientific Reports. 13(1). 6 indexed citations
6.
Marion, Jean-Marie, et al.. (2023). Deep Learning-Based Outcome Prediction Using Harmonized CT Images for Head and Neck Cancer Patients: A Novel Approach with Attention and DeepHitSingle. SPIRE - Sciences Po Institutional REpository. 1–2. 1 indexed citations
7.
Marion, Jean-Marie, et al.. (2022). An EMD-based approach for atrial fibrillation classification using wavelets and convolutional neural network. Biomedical Signal Processing and Control. 82. 104507–104507. 3 indexed citations
8.
Bogaert, Patrick Van, et al.. (2022). Deep Learning for scalp High Frequency Oscillations Identification. 2022 30th European Signal Processing Conference (EUSIPCO). 1223–1227. 1 indexed citations
9.
Marion, Jean-Marie, et al.. (2022). Lung and colon cancer classification using medical imaging: a feature engineering approach. Physical and Engineering Sciences in Medicine. 45(3). 729–746. 93 indexed citations
10.
11.
Henni, Samir, et al.. (2018). Identification of new factors associated to walking impairment in patients with vascular-type claudication. Vascular. 27(3). 260–269. 1 indexed citations
12.
13.
Chauvet, Pierre, et al.. (2014). Evaluation of automatic feature detection algorithms in EEG: Application to interburst intervals. Computers in Biology and Medicine. 54. 61–71. 6 indexed citations
14.
Daya, Bassam, et al.. (2011). Implementation of a monitoring system for fall detection in elderly healthcare. Procedia Computer Science. 3. 216–220. 17 indexed citations
15.
Daya, Bassam, et al.. (2010). A New Algorithmic Approach for Detection and Identification of Vehicle Plate Numbers. Journal of Software Engineering and Applications. 3(2). 99–108. 5 indexed citations
16.
Daya, Bassam, et al.. (2006). MATHEMATICAL CONSTRAINTS FOR BUILDING LEARNING RULES IN THE PURKINJE CELL SYSTEM. Journal of Integrative Neuroscience. 5(2). 171–185. 1 indexed citations
17.
Daya, Bassam & Pierre Chauvet. (2005). A static walking robot to implement a neural network system. Systems Science. 31(1). 27–35. 3 indexed citations
18.
Höfer, Thomas, et al.. (1994). A resolution of the chemotactic wave paradox. Applied Mathematics Letters. 7(2). 1–5. 17 indexed citations
19.
Chauvet, Pierre, et al.. (1993). The purkinje unit of the cerebellum as a model of a stable neural network.. The European Symposium on Artificial Neural Networks. 2 indexed citations
20.
Chauvet, Pierre, et al.. (1991). Exact Bianchi type-II cosmological vacuum solutions in Jordan Brans-Dicke theory. Astrophysics and Space Science. 178(1). 165–168. 4 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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