Gérard Subsol

3.1k citations
127 papers · 2.3k · h-index 24

Impact in

Papers in

Gérard Subsol

121 papers receiving 2.2k citations

Peers

Gérard Subsol
Comparison fields: 5 of 161
  • Computer Vision and Pattern Recognition 952
  • Geometry and Topology 217
  • Biophysics 126
  • Radiology, Nuclear Medicine and Imaging 429
  • Computer Graphics and Computer-Aided Design 67
Replace Serge Beucher with:
Serge Beucher France
O. Kübler Switzerland
A. Oosterlinck Belgium
Hugues Talbot France
Gunilla Borgefors Sweden
Washington Mio United States
Frank P. Kuhl United States
H.E. Blum United States
Sim Heng Ong Singapore
Massimiliano Corsini Italy
Gérard Subsol relative to Serge Beucher France Serge Beucher's profile →
Citations per field
00.5×2×4×6×8×9.0×
Serge Beucher · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Gérard Subsol, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Gérard Subsol Line = papers co-authored together Gérard Subsol links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 127 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001450
2 2018190
3 2002162
4 1998118
5 2016114
6 199799
7 199573
8 201369
9 200052
10 199750
11 199445
12
A General Scheme for Automatically Building 3D Morphometric Anatomical Atlases: application to a Skull Atlas
199542
13 202037
14 201734
15 201634
16 202032
17 200932
18 199632
19 199731
20 201430

About Gérard Subsol

Gérard Subsol is a scholar working on Computer Vision and Pattern Recognition, Geometry and Topology, Computational Mechanics, Biomedical Engineering and Geology, having authored 127 papers that have together received 2.3k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (23 papers), Morphological variations and asymmetry (16 papers), 3D Shape Modeling and Analysis (14 papers), 3D Surveying and Cultural Heritage (12 papers), Remote Sensing and LiDAR Applications (10 papers), Image Retrieval and Classification Techniques (10 papers), Image Processing and 3D Reconstruction (9 papers) and Medical Imaging and Analysis (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (952 citations), Geometry and Topology (217 citations), Biophysics (126 citations), Radiology, Nuclear Medicine and Imaging (429 citations) and Computer Graphics and Computer-Aided Design (67 citations). Gérard Subsol has collaborated with scholars based in France, United States and South Africa. Frequent co-authors include Nicholas Ayache, Jean‐Philippe Thirion, Sébastien Ourselin, Alexis Roche, Xavier Pennec, Hervé Delingette, Marc Chaumont, Thomas Claverie, Sébastien Villon and Sébastien Villéger. Their work appears in journals such as Computers and Electronics in Agriculture, PLoS ONE, Journal of Anatomy, Medical Image Analysis and Journal of Cranio-Maxillofacial Surgery.

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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