Raphaël Prevost

10 papers and 197 indexed citations i.

About

Raphaël Prevost is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Raphaël Prevost has authored 10 papers receiving a total of 197 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 5 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Biomedical Engineering. Recurrent topics in Raphaël Prevost’s work include Medical Image Segmentation Techniques (6 papers), MRI in cancer diagnosis (3 papers) and Advanced Neural Network Applications (3 papers). Raphaël Prevost is often cited by papers focused on Medical Image Segmentation Techniques (6 papers), MRI in cancer diagnosis (3 papers) and Advanced Neural Network Applications (3 papers). Raphaël Prevost collaborates with scholars based in France, Germany and Finland. Raphaël Prevost's co-authors include Roberto Ardon, Benoît Mory, Rémi Cuingnet, Laurent D. Cohen, David Lesage, Wolfgang Wein, Oliver Zettinig, Robert S. Bauer, Mehrdad Salehi and Alexander Ladikos and has published in prestigious journals such as Medical Image Analysis, Lecture notes in computer science and UCL Discovery (University College London).

In The Last Decade

Co-authorship network of co-authors of Raphaël Prevost i

Fields of papers citing papers by Raphaël Prevost

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Raphaël Prevost. 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 Raphaël Prevost. The network helps show where Raphaël Prevost may publish in the future.

Countries citing papers authored by Raphaël Prevost

Since Specialization
Citations

This map shows the geographic impact of Raphaël Prevost'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 Raphaël Prevost with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raphaël Prevost 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.

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