Gérard Subsol

3.1k total citations
106 papers, 1.7k citations indexed

About

Gérard Subsol is a scholar working on Computer Vision and Pattern Recognition, Geometry and Topology and Biomedical Engineering. According to data from OpenAlex, Gérard Subsol has authored 106 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Computer Vision and Pattern Recognition, 13 papers in Geometry and Topology and 13 papers in Biomedical Engineering. Recurrent topics in Gérard Subsol's work include Medical Image Segmentation Techniques (15 papers), Morphological variations and asymmetry (13 papers) and 3D Surveying and Cultural Heritage (11 papers). Gérard Subsol is often cited by papers focused on Medical Image Segmentation Techniques (15 papers), Morphological variations and asymmetry (13 papers) and 3D Surveying and Cultural Heritage (11 papers). Gérard Subsol collaborates with scholars based in France, United States and South Africa. Gérard Subsol's co-authors include Nicholas Ayache, Xavier Pennec, Alexis Roche, Sébastien Ourselin, Jean‐Philippe Thirion, Hervé Delingette, Marc Chaumont, Sébastien Villon, Sébastien Villéger and Thomas Claverie and has published in prestigious journals such as PLoS ONE, Scientific Reports and Annals of Botany.

In The Last Decade

Gérard Subsol

100 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gérard Subsol France 19 605 354 223 162 140 106 1.7k
Marco Callieri Italy 22 1.0k 1.7× 74 0.2× 207 0.9× 347 2.1× 96 0.7× 83 2.8k
Guido Ranzuglia Italy 7 479 0.8× 72 0.2× 192 0.9× 267 1.6× 105 0.8× 11 1.8k
Stefan Zachow Germany 28 452 0.7× 265 0.7× 752 3.4× 236 1.5× 90 0.6× 122 2.2k
Massimiliano Corsini Italy 21 1.4k 2.4× 89 0.3× 218 1.0× 536 3.3× 108 0.8× 74 3.3k
Matteo Dellepiane Italy 24 1.1k 1.8× 73 0.2× 200 0.9× 343 2.1× 96 0.7× 80 3.0k
Fabio Ganovelli Italy 23 1.2k 1.9× 80 0.2× 212 1.0× 783 4.8× 95 0.7× 74 2.9k
A. Oosterlinck Belgium 21 1.3k 2.2× 169 0.5× 124 0.6× 174 1.1× 19 0.1× 171 2.3k
O. Kübler Switzerland 19 1.7k 2.7× 575 1.6× 211 0.9× 339 2.1× 130 0.9× 38 2.8k
Neil A. Thacker United Kingdom 22 576 1.0× 372 1.1× 82 0.4× 40 0.2× 50 0.4× 64 1.6k
Gunilla Borgefors Sweden 20 2.2k 3.7× 264 0.7× 173 0.8× 293 1.8× 32 0.2× 51 3.0k

Countries citing papers authored by Gérard Subsol

Since Specialization
Citations

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

Fields of papers citing papers by Gérard Subsol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gérard Subsol

This figure shows the co-authorship network connecting the top 25 collaborators of Gérard Subsol. A scholar is included among the top collaborators of Gérard Subsol 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 Gérard Subsol. Gérard Subsol 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.
Chaumont, Marc, et al.. (2025). Chronic Ulcers Healing Prediction through Machine Learning Approaches: Preliminary Results on Diabetic Foot Ulcers Case Study. Journal of Clinical Medicine. 14(9). 2943–2943. 3 indexed citations
2.
Subsol, Gérard, et al.. (2024). Unified protocol to evaluate intraoral scanner resolution, trueness and precision: the RTP-protocol. Metrology and Measurement Systems. 73–83. 3 indexed citations
3.
Jaeger, Marc, et al.. (2023). Combinatorial Maps, a New Framework to Model Agroforestry Systems. Plant Phenomics. 5. 120–120. 2 indexed citations
4.
Chaumont, Marc, et al.. (2023). Comparing Spatial and Spatio-Temporal Paradigms to Estimate The Evolution of Socio-Economical Indicators from Satellite Images. HAL (Le Centre pour la Communication Scientifique Directe). 5790–5793. 1 indexed citations
5.
Subsol, Gérard, et al.. (2021). New method to analyze resolution acquisition for intraoral scanners. Metrology and Measurement Systems. 391–404. 2 indexed citations
6.
Akkari, M., et al.. (2021). Dynamic three‐dimensional virtual environment to improve learning of anatomical structures. Anatomical Sciences Education. 15(4). 754–764. 7 indexed citations
7.
Villon, Sébastien, David Mouillot, Marc Chaumont, et al.. (2020). A new method to control error rates in automated species identification with deep learning algorithms. Scientific Reports. 10(1). 10972–10972. 30 indexed citations
8.
Subsol, Gérard, Marie-José Perez, David Geneviève, et al.. (2018). Three-dimensional computer-assisted dissection of pancreatic lymphatic anatomy on human fetuses: a step toward automatic image alignment. Surgical and Radiologic Anatomy. 40(5). 587–597. 3 indexed citations
9.
Favier, Valentin, Nabil Zemiti, Gérard Subsol, et al.. (2017). Geometric and mechanical evaluation of 3D-printing materials for skull base anatomical education and endoscopic surgery simulation – A first step to create reliable customized simulators. PLoS ONE. 12(12). e0189486–e0189486. 31 indexed citations
10.
Subsol, Gérard, Jean‐Pierre Jessel, José Braga, et al.. (2015). In situ 3D Digitization of the "Little Foot" Australopithecus skeleton from Sterkfontein. HAL (Le Centre pour la Communication Scientifique Directe). 7 indexed citations
11.
Subsol, Gérard, et al.. (2013). 3D retrodeformation of paleoanthropological fossils based on biomechanical simulation. 1 indexed citations
12.
Braga, José, et al.. (2011). 1836es journées de la Société d’Anthropologie de Paris, 26–28 janvier 2011, Muséum national d’Histoire naturelle, Paris. Bulletins et Mémoires de la Société d anthropologie de Paris. 23(S1). 1–40.
13.
14.
Balet, Olivier, et al.. (2004). Virtual Storytelling, Using Virtual Reality Technologies for Storytelling: Using Virtual Reality Techniques for Storytelling: Second International Conference, Icvs 2003, Toulouse, France, November 20-21, 2003: Proceedings (Lecture Notes in Computer Science, 2897). Springer eBooks. 1 indexed citations
15.
Subsol, Gérard, et al.. (2002). 3D Image Processing for the Study of the Evolution of the Shape of the Human Skull: Presentation of the Tools and Preliminary Results. HAL (Le Centre pour la Communication Scientifique Directe). 3 indexed citations
16.
17.
Subsol, Gérard, et al.. (1999). Using Continuum Mechanics Operators for detection and Quantification of Evolving Processes in 3D Medical Images. HAL (Le Centre pour la Communication Scientifique Directe). 2 indexed citations
18.
Ourselin, Sébastien, Alexis Roche, Gérard Subsol, & Xavier Pennec. (1998). Automatic Alignment of Histological Sections for 3D Reconstruction and Analysis. Analytical Cellular Pathology. 18(3). 123. 7 indexed citations
19.
Ourselin, Sébastien, Alexis Roche, Gérard Subsol, & Xavier Pennec. (1998). Automatic Alignment of Histological Sections. HAL (Le Centre pour la Communication Scientifique Directe). 3 indexed citations
20.
Subsol, Gérard, Jean‐Philippe Thirion, & Nicholas Ayache. (1996). Construction automatique d'atlas anatomiques morphométriques à partir d'images médicales tridimensionnelles : application à un atlas du crâne. Traitement du signal. 13(6). 651–674. 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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