Joan Glaunès

1.7k total citations
20 papers, 835 citations indexed

About

Joan Glaunès is a scholar working on Computer Vision and Pattern Recognition, Geometry and Topology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Joan Glaunès has authored 20 papers receiving a total of 835 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 9 papers in Geometry and Topology and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Joan Glaunès's work include Medical Image Segmentation Techniques (10 papers), Morphological variations and asymmetry (9 papers) and Advanced Neuroimaging Techniques and Applications (7 papers). Joan Glaunès is often cited by papers focused on Medical Image Segmentation Techniques (10 papers), Morphological variations and asymmetry (9 papers) and Advanced Neuroimaging Techniques and Applications (7 papers). Joan Glaunès collaborates with scholars based in France, United States and Chile. Joan Glaunès's co-authors include Marc Vaillant, Laurent Younès, Anqi Qiu, Michael I. Miller, Alain Trouvé, Françoise Tilotta, Yves Rozenholc, Olivier Colliot, Maxime Bérar and Frédéric Richard and has published in prestigious journals such as Journal of Neuroscience, IEEE Transactions on Pattern Analysis and Machine Intelligence and NeuroImage.

In The Last Decade

Joan Glaunès

20 papers receiving 795 citations

Peers

Joan Glaunès

CVPR

RNMI

Brad Davis United States

Carole Twining United Kingdom

Lok Ming Lui Hong Kong

Sylvain Prima France

Christian Brechbühler Switzerland

Ch. Brechbühler Switzerland

Matthieu Jomier United States

Marc Vaillant United States

Jean‐Philippe Thirion France

Michael E. Leventon United States

Brad Davis United States

Joan Glaunès

685 ×1.8

CVPR

549 ×2.3

RNMI

187 ×0.9

101 ×0.6

119 ×1.0

Citations per year, relative to Joan Glaunès Joan Glaunès (= 1×) peers Brad Davis

Countries citing papers authored by Joan Glaunès

Since Specialization

Citations

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

Fields of papers citing papers by Joan Glaunès

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joan Glaunès

This figure shows the co-authorship network connecting the top 25 collaborators of Joan Glaunès. A scholar is included among the top collaborators of Joan Glaunès 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 Joan Glaunès. Joan Glaunès is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Jugnon, Vincent, et al.. (2022). How to Register a Live onto a Liver ? Partial Matching in the Space of Varifolds. 1(IPMI 2021). 1–30. 1 indexed citations

Glaunès, Joan, et al.. (2022). A Deep Residual Learning Implementation of Metamorphosis. 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI). 1–4. 2 indexed citations

Roussillon, Pierre & Joan Glaunès. (2019). Representation of Surfaces with Normal Cycles and Application to Surface Registration. Journal of Mathematical Imaging and Vision. 61(8). 1069–1095. 2 indexed citations

Cury, Claire, Joan Glaunès, Roberto Toro, et al.. (2018). Statistical Shape Analysis of Large Datasets Based on Diffeomorphic Iterative Centroids. Frontiers in Neuroscience. 12. 803–803. 2 indexed citations

Roussillon, Pierre & Joan Glaunès. (2016). Kernel Metrics on Normal Cycles and Application to Curve Matching. SIAM Journal on Imaging Sciences. 9(4). 1991–2038. 2 indexed citations

Cury, Claire, Joan Glaunès, Marie Chupin, & Olivier Colliot. (2015). Analysis of anatomical variability using diffeomorphic iterative centroid in patients with Alzheimer's disease. Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization. 5(5). 350–358. 4 indexed citations

Micheli, Mario & Joan Glaunès. (2014). Matrix-valued kernels for shape deformation analysis. HAL (Le Centre pour la Communication Scientifique Directe). 1(1). 57–139. 12 indexed citations

Allassonnière, Stéphanie, et al.. (2013). Statistical models for deformable templates in image and shape analysis. Annales mathématiques Blaise Pascal. 20(1). 1–35. 4 indexed citations

Siless, Viviana, Joan Glaunès, Pamela Guevara, et al.. (2012). Joint T1 and Brain Fiber Log-Demons Registration Using Currents to Model Geometry. Lecture notes in computer science. 15(Pt 2). 57–65. 12 indexed citations

10.

Cuingnet, Rémi, Joan Glaunès, Marie Chupin, Habib Benali, & Olivier Colliot. (2012). Spatial and Anatomical Regularization of SVM: A General Framework for Neuroimaging Data. IEEE Transactions on Pattern Analysis and Machine Intelligence. 35(3). 682–696. 48 indexed citations

11.

Auzias, Guillaume, Olivier Colliot, Joan Glaunès, et al.. (2011). Diffeomorphic Brain Registration Under Exhaustive Sulcal Constraints. IEEE Transactions on Medical Imaging. 30(6). 1214–1227. 45 indexed citations

12.

Bérar, Maxime, Françoise Tilotta, Joan Glaunès, & Yves Rozenholc. (2011). Craniofacial reconstruction as a prediction problem using a Latent Root Regression model. Forensic Science International. 210(1-3). 228–236. 28 indexed citations

13.

Tilotta, Françoise, Joan Glaunès, Frédéric Richard, & Yves Rozenholc. (2010). A local technique based on vectorized surfaces for craniofacial reconstruction. Forensic Science International. 200(1-3). 50–59. 19 indexed citations

14.

Lambert, François, D. Malinvaud, Joan Glaunès, et al.. (2009). Vestibular Asymmetry as the Cause of Idiopathic Scoliosis: A Possible Answer fromXenopus. Journal of Neuroscience. 29(40). 12477–12483. 52 indexed citations

15.

Tilotta, Françoise, et al.. (2009). Construction and analysis of a head CT-scan database for craniofacial reconstruction. Forensic Science International. 191(1-3). 112.e1–112.e12. 57 indexed citations

16.

Auzias, Guillaume, Joan Glaunès, Olivier Colliot, et al.. (2009). DISCO: A Coherent Diffeomorphic Framework for Brain Registration under Exhaustive Sulcal Constraints. Lecture notes in computer science. 12(Pt 1). 730–738. 10 indexed citations

17.

Glaunès, Joan, Anqi Qiu, Michael I. Miller, & Laurent Younès. (2008). Large Deformation Diffeomorphic Metric Curve Mapping. International Journal of Computer Vision. 80(3). 317–336. 134 indexed citations

18.

Vaillant, Marc, Anqi Qiu, Joan Glaunès, & Michael I. Miller. (2006). Diffeomorphic metric surface mapping in subregion of the superior temporal gyrus. NeuroImage. 34(3). 1149–1159. 65 indexed citations

19.

Vaillant, Marc & Joan Glaunès. (2005). Surface Matching via Currents. Lecture notes in computer science. 19. 381–392. 236 indexed citations

20.

Glaunès, Joan, Alain Trouvé, & Laurent Younès. (2004). Diffeomorphic matching of distributions: a new approach for unlabelled point-sets and sub-manifolds matching. 2. 712–718. 100 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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