Gérard Subsol
Impact in
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- Medical Image Segmentation Techniques
- Advanced Neural Network Applications
Papers in
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- Medical Image Segmentation Techniques 35
- Advanced Neural Network Applications 11
- Advanced Steganography and Watermarking Techniques 10
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- Morphological variations and asymmetry 13
- Co-authors
- Nicholas Ayache (17 shared papers)Jean‐Philippe Thirion (14 shared papers)Xavier Pennec (3 shared papers)Sebastien Ourselin A (4 shared papers)Alexis Roche (4 shared papers)Hervé Delingette (8 shared papers)Marc Chaumont (31 shared papers)Thomas Claverie (3 shared papers)
- Journals
- Journal of Anatomy (3 papers)PLoS ONE (3 papers)Medical Image Analysis (3 papers)Computers and Electronics in Agriculture (3 papers)Lecture notes in computer science (20 papers)
- Partner nations
- FranceUnited StatesSouth Africa
In The Last Decade
Gérard Subsol
143 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 138
- Computer Vision and Pattern Recognition 1.3k
- Computational Mathematics 7
- Computer Graphics and Computer-Aided Design 50
- Archeology 116
- Media Technology 82
Countries citing papers authored by Gérard Subsol
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
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.
All Works
Showing the 20 most-cited of 154 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 466 | |
| 2 | 2018 | 200 | |
| 3 | 2002 | 168 | |
| 4 | 1998 | 124 | |
| 5 | 2016 | 119 | |
| 6 | 1997 | 98 | |
| 7 | 1995 | 72 | |
| 8 | 2013 | 72 | |
| 9 | 2000 | 54 | |
| 10 | 1997 | 48 | |
| 11 | A General Scheme for Automatically Building 3D Morphometric Anatomical Atlases: application to a Skull Atlas | 1995 | 46 |
| 12 | 1994 | 44 | |
| 13 | 2020 | 40 | |
| 14 | 2016 | 38 | |
| 15 | 2017 | 38 | |
| 16 | 2001 | 33 | |
| 17 | 2020 | 33 | |
| 18 | 1996 | 32 | |
| 19 | 1997 | 32 | |
| 20 | 2009 | 32 |
About Gérard Subsol
Gérard Subsol is a scholar working on Computer Vision and Pattern Recognition, Geometry and Topology, Computational Mechanics, Media Technology and Archeology, having authored 154 papers that have together received 2.6k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (35 papers), 3D Shape Modeling and Analysis (17 papers), Anatomy and Medical Technology (14 papers), Morphological variations and asymmetry (13 papers), Advanced Neural Network Applications (11 papers), Advanced Steganography and Watermarking Techniques (10 papers), Forensic Anthropology and Bioarchaeology Studies (10 papers) and Pleistocene-Era Hominins and Archaeology (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.3k citations), Computational Mathematics (7 citations), Computer Graphics and Computer-Aided Design (50 citations), Archeology (116 citations) and Media Technology (82 citations). Gérard Subsol has collaborated with scholars based in France, United States and South Africa. Frequent co-authors include Nicholas Ayache, Jean‐Philippe Thirion, Xavier Pennec, Sebastien Ourselin A, Alexis Roche, Hervé Delingette, Marc Chaumont, Thomas Claverie, Sébastien Villon and David Mouillot. Their work appears in journals such as Journal of Anatomy, PLoS ONE, Medical Image Analysis, Computers and Electronics in Agriculture and Lecture notes in computer science.
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.