Nicolas Charon

762 total citations
24 papers, 329 citations indexed

About

Nicolas Charon is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Geometry and Topology. According to data from OpenAlex, Nicolas Charon has authored 24 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 9 papers in Computational Mechanics and 6 papers in Geometry and Topology. Recurrent topics in Nicolas Charon's work include Morphological variations and asymmetry (6 papers), 3D Shape Modeling and Analysis (5 papers) and Sparse and Compressive Sensing Techniques (3 papers). Nicolas Charon is often cited by papers focused on Morphological variations and asymmetry (6 papers), 3D Shape Modeling and Analysis (5 papers) and Sparse and Compressive Sensing Techniques (3 papers). Nicolas Charon collaborates with scholars based in United States, France and Austria. Nicolas Charon's co-authors include Alain Trouvé, Sarang Joshi, Guido Gerig, Stanley Durrleman, Julie R. Korenberg, Marcel Prastawa, Jean‐Christophe Olivo‐Marín, Nicolas Diguet, Laurent Guillemot and Caroline Badouel and has published in prestigious journals such as Nature Communications, NeuroImage and International Journal of Computer Vision.

In The Last Decade

Nicolas Charon

21 papers receiving 325 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nicolas Charon United States 7 72 71 63 59 51 24 329
Jared Vicory United States 10 91 1.3× 96 1.4× 26 0.4× 33 0.6× 4 0.1× 32 316
Hyung Seon Park South Korea 8 65 0.9× 60 0.8× 43 0.7× 7 0.1× 35 0.7× 10 424
Dagmar Kainmueller Germany 10 96 1.3× 50 0.7× 45 0.7× 13 0.2× 11 0.2× 27 334
Manasi Datar United States 10 82 1.1× 54 0.8× 15 0.2× 35 0.6× 5 0.1× 16 238
Jiaxi Hu China 12 92 1.3× 109 1.5× 18 0.3× 7 0.1× 13 0.3× 27 431
Jason M. Graham United States 9 86 1.2× 27 0.4× 71 1.1× 11 0.2× 25 0.5× 20 306
Y. Fridman United States 6 181 2.5× 51 0.7× 151 2.4× 32 0.5× 3 0.1× 10 562
Matthew Nitzken United States 11 70 1.0× 145 2.0× 16 0.3× 8 0.1× 3 0.1× 25 306
Rafael Navarro Spain 9 83 1.2× 101 1.4× 95 1.5× 2 0.0× 27 0.5× 17 485
B Rizzi Italy 10 56 0.8× 7 0.1× 106 1.7× 6 0.1× 64 1.3× 23 320

Countries citing papers authored by Nicolas Charon

Since Specialization
Citations

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

Fields of papers citing papers by Nicolas Charon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicolas Charon

This figure shows the co-authorship network connecting the top 25 collaborators of Nicolas Charon. A scholar is included among the top collaborators of Nicolas Charon 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 Nicolas Charon. Nicolas Charon 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.
Yin, Minglang, et al.. (2024). A scalable framework for learning the geometry-dependent solution operators of partial differential equations. Nature Computational Science. 4(12). 928–940. 7 indexed citations
2.
Bauer, Martin, et al.. (2024). Basis Restricted Elastic Shape Analysis on the Space of Unregistered Surfaces. International Journal of Computer Vision. 133(4). 1999–2024.
3.
Bauer, Martin, et al.. (2024). Elastic Metrics on Spaces of Euclidean Curves: Theory and Algorithms. Journal of Nonlinear Science. 34(3). 1 indexed citations
4.
Klassen, Eric, et al.. (2023). Elastic Shape Analysis of Surfaces with Second-Order Sobolev Metrics: A Comprehensive Numerical Framework. International Journal of Computer Vision. 131(5). 1183–1209. 12 indexed citations
5.
6.
Bauer, Martin, et al.. (2023). BaRe-ESA: A Riemannian Framework for Unregistered Human Body Shapes. 14135–14145. 2 indexed citations
7.
Charon, Nicolas, et al.. (2022). Mechanistic Modeling of Longitudinal Shape Changes: Equations of Motion and Inverse Problems. SIAM Journal on Applied Dynamical Systems. 21(1). 80–101. 2 indexed citations
8.
Bauer, Martin, et al.. (2022). A New Variational Model for Shape Graph Registration with Partial Matching Constraints. SIAM Journal on Imaging Sciences. 15(1). 261–292. 5 indexed citations
9.
Charon, Nicolas, et al.. (2021). Landmark-free morphometric analysis of knee osteoarthritis using joint statistical models of bone shape and articular space variability. Journal of Medical Imaging. 8(4). 44001–44001. 4 indexed citations
10.
Charon, Nicolas, et al.. (2021). Supervised deep learning of elastic SRV distances on the shape space of curves. arXiv (Cornell University). 3 indexed citations
11.
Yoshizawa, Tadashi, Yuan Zhou, Nicolas Charon, et al.. (2021). Three-dimensional shape and topology analysis of tissue-cleared tumor samples. 39–39. 1 indexed citations
12.
13.
Haeffele, Benjamin D., et al.. (2018). Separable Dictionary Learning with Global Optimality and Applications to Diffusion MRI.. arXiv (Cornell University). 2 indexed citations
14.
Vidal, Renè, et al.. (2018). Joint spatial-angular sparse coding for dMRI with separable dictionaries. Medical Image Analysis. 48. 25–42. 9 indexed citations
15.
Lee, Sieun, Morgan Heisler, Karteek Popuri, et al.. (2017). Age and Glaucoma-Related Characteristics in Retinal Nerve Fiber Layer and Choroid: Localized Morphometrics and Visualization Using Functional Shapes Registration. Frontiers in Neuroscience. 11. 381–381. 6 indexed citations
16.
Diguet, Nicolas, Jean‐François Le Garrec, Marta Novotová, et al.. (2017). Amotl1 mediates sequestration of the Hippo effector Yap1 downstream of Fat4 to restrict heart growth. Nature Communications. 8(1). 14582–14582. 77 indexed citations
17.
Vidal, René Víctor Valqui, et al.. (2016). Efficient Global Spatial-Angular Sparse Coding for Diffusion MRI with Separable Dictionaries.. arXiv (Cornell University). 1 indexed citations
18.
Lee, Sieun, Nicolas Charon, Benjamin Charlier, et al.. (2016). Atlas-based shape analysis and classification of retinal optical coherence tomography images using the functional shape (fshape) framework. Medical Image Analysis. 35. 570–581. 24 indexed citations
19.
Durrleman, Stanley, Marcel Prastawa, Nicolas Charon, et al.. (2014). Morphometry of anatomical shape complexes with dense deformations and sparse parameters. NeuroImage. 101. 35–49. 159 indexed citations
20.
Charon, Nicolas & Frédéric Barbaresco. (2009). Une nouvelle approche pour la détection de cibles dans les images radar basée sur des distances et moyennes dans des espaces de matrices de covariance. Traitement du signal. 26(4). 269–278. 2 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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