Guillaume Charpiat

4.0k total citations · 1 hit paper
24 papers, 1.7k citations indexed

About

Guillaume Charpiat is a scholar working on Computer Vision and Pattern Recognition, Geometry and Topology and Artificial Intelligence. According to data from OpenAlex, Guillaume Charpiat has authored 24 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 5 papers in Geometry and Topology and 4 papers in Artificial Intelligence. Recurrent topics in Guillaume Charpiat's work include Medical Image Segmentation Techniques (11 papers), Image Retrieval and Classification Techniques (6 papers) and Morphological variations and asymmetry (5 papers). Guillaume Charpiat is often cited by papers focused on Medical Image Segmentation Techniques (11 papers), Image Retrieval and Classification Techniques (6 papers) and Morphological variations and asymmetry (5 papers). Guillaume Charpiat collaborates with scholars based in France, United States and Germany. Guillaume Charpiat's co-authors include Yuliya Tarabalka, Pierre Alliez, Emmanuel Maggiori, Olivier Faugeras, Renaud Keriven, Matthias Hofmann, Bernd J. Pichler, Florian Steinke, Michael Brady and Jason Farquhar and has published in prestigious journals such as Bioinformatics, NeuroImage and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Guillaume Charpiat

24 papers receiving 1.6k citations

Hit Papers

Convolutional Neural Networks for Large-Scale Remote-Sens... 2016 2026 2019 2022 2016 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Convolutional Neural Networks for Large-Scale Remote-Sensing Image Classification
    2016 828 citations Emmanuel Maggiori, Yuliya Tarabalka et al. IEEE Transactions on Geoscience and Remote Sensing profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guillaume Charpiat France 12 527 476 363 253 229 24 1.7k
Foivos I. Diakogiannis Australia 10 603 1.1× 465 1.0× 236 0.7× 163 0.6× 204 0.9× 19 1.6k
Olaf Hellwich Germany 30 759 1.4× 348 0.7× 464 1.3× 246 1.0× 421 1.8× 181 2.4k
Hugues Talbot France 29 1.0k 2.0× 295 0.6× 410 1.1× 149 0.6× 212 0.9× 136 2.6k
Selim Aksoy Türkiye 21 1.0k 1.9× 627 1.3× 245 0.7× 241 1.0× 178 0.8× 75 2.1k
Dong-Chen He Canada 17 859 1.6× 578 1.2× 106 0.3× 254 1.0× 185 0.8× 40 1.7k
Carlo Gatta Spain 22 1.1k 2.0× 708 1.5× 171 0.5× 229 0.9× 125 0.5× 63 2.0k
Adriana Romero Canada 13 1.3k 2.5× 680 1.4× 703 1.9× 247 1.0× 187 0.8× 22 2.8k
Xavier Descombes France 27 802 1.5× 543 1.1× 162 0.4× 165 0.7× 943 4.1× 149 2.6k
Gholamreza Akbarizadeh Iran 30 855 1.6× 563 1.2× 77 0.2× 144 0.6× 150 0.7× 76 2.6k
Richard W. Conners United States 20 913 1.7× 311 0.7× 179 0.5× 93 0.4× 297 1.3× 80 2.4k

Countries citing papers authored by Guillaume Charpiat

Since Specialization
Citations

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

Fields of papers citing papers by Guillaume Charpiat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guillaume Charpiat

This figure shows the co-authorship network connecting the top 25 collaborators of Guillaume Charpiat. A scholar is included among the top collaborators of Guillaume Charpiat 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 Guillaume Charpiat. Guillaume Charpiat 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.
Charpiat, Guillaume, et al.. (2024). An implicit GNN solver for Poisson-like problems. Computers & Mathematics with Applications. 176. 270–288. 2 indexed citations
2.
Charpiat, Guillaume, et al.. (2024). Rotation-equivariant graph neural networks for learning glassy liquids representations. SciPost Physics. 16(5). 9 indexed citations
3.
Decelle, Aurélien, et al.. (2023). Deep convolutional and conditional neural networks for large-scale genomic data generation. PLoS Computational Biology. 19(10). e1011584–e1011584. 6 indexed citations
4.
Bray, Erik M., et al.. (2022). dnadna: a deep learning framework for population genetics inference. Bioinformatics. 39(1). 4 indexed citations
5.
Cury, Jean, et al.. (2020). Deep learning for population size history inference: Design, comparison and combination with approximate Bayesian computation. Molecular Ecology Resources. 21(8). 2645–2660. 44 indexed citations
6.
Giffard‐Roisin, Sophie, et al.. (2020). Tropical Cyclone Track Forecasting Using Fused Deep Learning From Aligned Reanalysis Data. Frontiers in Big Data. 3. 1–1. 77 indexed citations
7.
Charpiat, Guillaume, et al.. (2019). Multi-Task Deep Learning for Satellite Image Pansharpening and Segmentation. HAL (Le Centre pour la Communication Scientifique Directe). 4869–4872. 11 indexed citations
8.
Maggiori, Emmanuel, Guillaume Charpiat, Yuliya Tarabalka, & Pierre Alliez. (2017). Recurrent Neural Networks to Correct Satellite Image Classification Maps. IEEE Transactions on Geoscience and Remote Sensing. 55(9). 4962–4971. 55 indexed citations
9.
Maggiori, Emmanuel, Yuliya Tarabalka, Guillaume Charpiat, & Pierre Alliez. (2016). Convolutional Neural Networks for Large-Scale Remote-Sensing Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 55(2). 645–657. 828 indexed citations breakdown →
10.
Tarabalka, Yuliya, Guillaume Charpiat, Ludovic Brucker, & Bjoern Menze. (2014). Spatio-Temporal Video Segmentation With Shape Growth or Shrinkage Constraint. IEEE Transactions on Image Processing. 23(9). 3829–3840. 10 indexed citations
11.
Vialard, François‐Xavier, et al.. (2013). Finsler Steepest Descent with Applications to Piecewise-regular Curve Evolution. arXiv (Cornell University). 1 indexed citations
12.
Charpiat, Guillaume. (2011). Exhaustive family of energies minimizable exactly by a graph cut. 1849–1856. 2 indexed citations
13.
Charpiat, Guillaume. (2009). Learning shape metrics based on deformations and transport. 53. 328–335. 4 indexed citations
14.
Hofmann, Matthias, Florian Steinke, Guillaume Charpiat, et al.. (2008). MRI-Based Attenuation Correction for PET/MRI: A Novel Approach Combining Pattern Recognition and Atlas Registration. Journal of Nuclear Medicine. 49(11). 1875–1883. 365 indexed citations
15.
Charpiat, Guillaume, Olivier Faugeras, & Renaud Keriven. (2007). Shape Statistics for Image Segmentation with Prior. 1–6. 16 indexed citations
16.
Charpiat, Guillaume, Olivier Faugeras, Renaud Keriven, & Pierre Maurel. (2006). Distance-Based Shape Statistics. HAL (Le Centre pour la Communication Scientifique Directe). 5. V–925. 10 indexed citations
17.
Charpiat, Guillaume, Renaud Keriven, Jean-Philippe Pons, & Olivier Faugeras. (2005). Designing spatially coherent minimizing flows for variational problems based on active contours. 3. 1403–1408 Vol. 2. 30 indexed citations
18.
Charpiat, Guillaume, Olivier Faugeras, & Renaud Keriven. (2005). Image statistics based on diffeomorphic matching. 852–857 Vol. 1. 8 indexed citations
19.
Faugeras, Olivier, Guillaume Charpiat, Christophe Chefd’hotel, et al.. (2004). Variational, geometric, and statistical methods for modeling brain anatomy and function. NeuroImage. 23. S46–S55. 13 indexed citations
20.
Charpiat, Guillaume, Olivier Faugeras, & Renaud Keriven. (2004). Approximations of Shape Metrics and Application to Shape Warping and Empirical Shape Statistics. Foundations of Computational Mathematics. 5(1). 1–58. 90 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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