R. Prost

82 papers and 1.3k indexed citations i.

About

R. Prost is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Computational Mechanics. According to data from OpenAlex, R. Prost has authored 82 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Computer Vision and Pattern Recognition, 24 papers in Radiology, Nuclear Medicine and Imaging and 22 papers in Computational Mechanics. Recurrent topics in R. Prost’s work include Image and Signal Denoising Methods (20 papers), Advanced Data Compression Techniques (18 papers) and Medical Imaging Techniques and Applications (15 papers). R. Prost is often cited by papers focused on Image and Signal Denoising Methods (20 papers), Advanced Data Compression Techniques (18 papers) and Medical Imaging Techniques and Applications (15 papers). R. Prost collaborates with scholars based in France, South Korea and United States. R. Prost's co-authors include Sébastien Valette, Françoise Peyrin, Denis Friboulet, R. Goutte, J.-M. Chassery, Hervé Liebgott, Voichiţa Maxim, Mirela Frandeș, Gérard Finet and Martine Gilard and has published in prestigious journals such as Environmental Science & Technology, IEEE Transactions on Image Processing and IEEE Transactions on Signal Processing.

In The Last Decade

Co-authorship network of co-authors of R. Prost i

Fields of papers citing papers by R. Prost

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by R. Prost

Since Specialization
Citations

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