S. Prima
Impact in
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- Medical Image Segmentation Techniques
- Biophysics top 10%
- Cell Image Analysis Techniques
Papers in ⓘ
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- Morphological variations and asymmetry 4
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- Medical Image Segmentation Techniques 5
- Image Retrieval and Classification Techniques 2
- Co-authors
- Sébastien Ourselin (1 shared paper)Nicholas Ayache (1 shared paper)Christian Barillot (3 shared papers)J.-P. Thirion (2 shared papers)Gérard Subsol (2 shared papers)Nicholas Roberts (1 shared paper)Daniel García-Lorenzo (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 (1 paper)SPIRE - Sciences Po Institutional REpository (1 paper)HAL (Le Centre pour la Communication Scientifique Directe) (1 paper)
- Partner nations
- FranceUnited KingdomCanada
In The Last Decade
S. Prima
7 papers receiving 292 citations
Peers
Comparison fields: 5 of 59
- Computer Vision and Pattern Recognition 175
- Biophysics 30
- Neurology 36
- Geometry and Topology 37
- Media Technology 33
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 21 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 | 2002 | 101 | |
| 2 | 2011 | 55 | |
| 3 | 2005 | 52 | |
| 4 | 2000 | 49 | |
| 5 | 2008 | 34 | |
| 6 | 2002 | 7 | |
| 7 | 2007 | 5 |
About S. Prima
S. Prima is a scholar working on Geometry and Topology, Computer Vision and Pattern Recognition, Neurology, Media Technology and Pathology and Forensic Medicine, having authored 7 papers that have together received 303 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (5 papers), Morphological variations and asymmetry (4 papers), Multiple Sclerosis Research Studies (2 papers), Image Retrieval and Classification Techniques (2 papers), Advanced Neuroimaging Techniques and Applications (1 paper), Meningioma and schwannoma management (1 paper), 3D Shape Modeling and Analysis (1 paper) and Medical Imaging Techniques and Applications (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (175 citations), Biophysics (30 citations), Neurology (36 citations), Geometry and Topology (37 citations) and Media Technology (33 citations). S. Prima has collaborated with scholars based in France, United Kingdom and Canada. Frequent co-authors include Sébastien Ourselin, Nicholas Ayache, Christian Barillot, J.-P. Thirion, Gérard Subsol, Nicholas Roberts, Daniel García-Lorenzo, D. Louis Collins, Douglas L. Arnold and Gilles Edan. Their work appears in journals such as IEEE Transactions on Medical Imaging, Medical Image Analysis, Lecture notes in computer science, SPIRE - Sciences Po Institutional REpository and HAL (Le Centre pour la Communication Scientifique Directe).
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.