S. Prima

705 citations
7 papers · 303 · h-index 6

Impact in

Papers in

S. Prima

7 papers receiving 292 citations

Peers

S. Prima
Comparison fields: 5 of 61
  • Computer Vision and Pattern Recognition 162
  • Biophysics 29
  • Geometry and Topology 36
  • Neurology 30
  • Media Technology 32
Replace Alberto F. Goldszal with:
Alberto F. Goldszal United States
Pierre Maurel France
Kola Babalola United Kingdom
Jared Vicory United States
Steven L. Hartmann United States
P. Kalavathi India
Dinggang Shen United States
Jiřı́ Hladůvka Austria
Nicolas Wiest-Daesslé France
Dror Lederman United States
S. Prima relative to Alberto F. Goldszal United States Alberto F. Goldszal's profile →
Citations per field
00.5×
Alberto F. Goldszal · 1×
Citations per year

Countries citing papers authored by S. Prima

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

7 of 7 papers shown
#Work
1 2002102
2 201155
3 200551
4 200049
5 200834
6 20027
7 20075

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 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), Image Retrieval and Classification Techniques (2 papers), Multiple Sclerosis Research Studies (2 papers), Optical measurement and interference techniques (1 paper), Brain Tumor Detection and Classification (1 paper), Advanced Neuroimaging Techniques and Applications (1 paper) and Image Processing Techniques and Applications (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (162 citations), Biophysics (29 citations), Geometry and Topology (36 citations), Neurology (30 citations) and Media Technology (32 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, Douglas L. Arnold, D. Louis Collins, Daniel García-Lorenzo and Gilles Edan. Their work appears in journals such as IEEE Transactions on Medical Imaging, Medical Image Analysis, Lecture notes in computer science, Maynooth University ePrints and eTheses Archive (Maynooth University) 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.

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