S. Prima

About

S. Prima is a scholar working on Computer Vision and Pattern Recognition, Geometry and Topology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, S. Prima has authored 8 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 3 papers in Geometry and Topology and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in S. Prima’s work include Medical Image Segmentation Techniques (5 papers), Morphological variations and asymmetry (3 papers) and Multiple Sclerosis Research Studies (2 papers). S. Prima is often cited by papers focused on Medical Image Segmentation Techniques (5 papers), Morphological variations and asymmetry (3 papers) and Multiple Sclerosis Research Studies (2 papers). S. Prima collaborates with scholars based in France, United Kingdom and Canada. S. Prima's co-authors include Christian Barillot, Pierre Hellier, Pierre Yger, Charles Kervrann, Pierrick Coupé, Sébastien Ourselin, Nicholas Ayache, Nicholas Roberts, J.-P. Thirion and Gérard Subsol and has published in prestigious journals such as IEEE Transactions on Medical Imaging, Medical Image Analysis and Lecture notes in computer science.

In The Last Decade

Co-authorship network of co-authors of S. Prima i

Layout:

Gravity: 0.05 Iterations: 100 Initial Temp: 1000 Cooling: 0.99 Min Temp: 1

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.

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).

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.

Explore authors with similar magnitude of impact