S. Prima
Impact in
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- Medical Image Segmentation Techniques
Papers in
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- Medical Image Segmentation Techniques 6
- Image Retrieval and Classification Techniques 2
- Advanced Image and Video Retrieval Techniques 1
- Optical measurement and interference techniques 1
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- Morphological variations and asymmetry 4
- Co-authors
- Sébastien Ourselin (2 shared papers)Nicholas Ayache (2 shared papers)Alexis Roche (1 shared paper)Christian Barillot (3 shared papers)Gérard Subsol (2 shared papers)J.-P. Thirion (2 shared papers)Nicholas Roberts (1 shared paper)D. Louis Collins (1 shared paper)
- Journals
- IEEE Transactions on Medical Imaging (2 papers)Medical Image Analysis (1 paper)Lecture notes in computer science (2 papers)HAL (Le Centre pour la Communication Scientifique Directe) (2 papers)Maynooth University ePrints and eTheses Archive (Maynooth University) (1 paper)
- Partner nations
- FranceUnited KingdomCanada
In The Last Decade
S. Prima
8 papers receiving 548 citations
Peers
Comparison fields: 5 of 80
- Computer Vision and Pattern Recognition 299
- Computational Mathematics 5
- Radiology, Nuclear Medicine and Imaging 168
- Biophysics 46
- Neurology 44
Countries citing papers authored by S. Prima
This map shows the geographic impact of S. Prima'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 S. Prima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Prima more than expected).
Fields of papers citing papers by S. Prima
This network shows the impact of papers produced by S. Prima. 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 S. Prima. The network helps show where S. Prima may publish in the future.
Co-authors
The 22 scholars most cited alongside S. Prima, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 226 | |
| 2 | 2002 | 119 | |
| 3 | 2011 | 65 | |
| 4 | 2005 | 57 | |
| 5 | 2000 | 52 | |
| 6 | 2008 | 35 | |
| 7 | 2002 | 9 | |
| 8 | 2007 | 5 |
About S. Prima
S. Prima is a scholar working on Computer Vision and Pattern Recognition, Geometry and Topology, Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 8 papers that have together received 568 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (6 papers), Morphological variations and asymmetry (4 papers), Image Retrieval and Classification Techniques (2 papers), Multiple Sclerosis Research Studies (2 papers), Advanced Image and Video Retrieval Techniques (1 paper), Optical measurement and interference techniques (1 paper), Brain Tumor Detection and Classification (1 paper) and Advanced Neuroimaging Techniques and Applications (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (299 citations), Computational Mathematics (5 citations), Radiology, Nuclear Medicine and Imaging (168 citations), Biophysics (46 citations) and Neurology (44 citations). S. Prima has collaborated with scholars based in France, United Kingdom and Canada. Frequent co-authors include Sébastien Ourselin, Nicholas Ayache, Alexis Roche, Christian Barillot, Gérard Subsol, J.-P. Thirion, Nicholas Roberts, D. Louis Collins, Douglas L. Arnold and Daniel García-Lorenzo. Their work appears in journals such as IEEE Transactions on Medical Imaging, Medical Image Analysis, Lecture notes in computer science, HAL (Le Centre pour la Communication Scientifique Directe) and Maynooth University ePrints and eTheses Archive (Maynooth University).
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.