R. Prost

2.4k citations
109 papers · 1.7k · h-index 21

Impact in

Papers in

R. Prost

98 papers receiving 1.6k citations

Peers

R. Prost
Comparison fields: 5 of 112
  • Computer Graphics and Computer-Aided Design 338
  • Computer Vision and Pattern Recognition 601
  • Computational Mechanics 491
  • Radiation 176
  • Radiology, Nuclear Medicine and Imaging 423
Replace Isabelle E. Magnin with:
Isabelle E. Magnin France
Hari Sundar United States
Tomeu Coll Spain
Serena Morigi Italy
Zuoqiang Shi China
M.D. Fox United States
Haotian Tang United States
Markus Kowarschik Germany
Karl Krissian Spain
Marius Lysaker Norway
R. Prost relative to Isabelle E. Magnin France Isabelle E. Magnin's profile →
Citations per field
00.5×2×4×6×7.7×
Isabelle E. Magnin · 1×
Citations per year

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).

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.

Co-authors

The 25 scholars most cited alongside R. Prost, 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 R. Prost Line = papers co-authored together R. Prost links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 109 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008165
2 2008158
3 201298
4 198685
5 200481
6 200476
7 201064
8 198457
9 200748
10 201546
11 200942
12 200536
13 200935
14 200233
15 199633
16 198231
17 201030
18 198223
19 201122
20 197722

About R. Prost

R. Prost is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Radiology, Nuclear Medicine and Imaging, Computer Graphics and Computer-Aided Design and Signal Processing, having authored 109 papers that have together received 1.7k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (31 papers), Advanced Data Compression Techniques (23 papers), Computer Graphics and Visualization Techniques (21 papers), Medical Imaging Techniques and Applications (17 papers), Digital Filter Design and Implementation (16 papers), 3D Shape Modeling and Analysis (15 papers), Medical Image Segmentation Techniques (11 papers) and Sparse and Compressive Sensing Techniques (11 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (338 citations), Computer Vision and Pattern Recognition (601 citations), Computational Mechanics (491 citations), Radiation (176 citations) and Radiology, Nuclear Medicine and Imaging (423 citations). R. Prost has collaborated with scholars based in France, South Korea and United States. Frequent co-authors include Sébastien Valette, R. Goutte, Françoise Peyrin, J.-M. Chassery, Denis Friboulet, Hervé Liebgott, Voichiţa Maxim, Mirela Frandeș, Ho-Youl Jung and Gérard Finet. Their work appears in journals such as Signal Processing, IEEE Transactions on Image Processing, Signal Processing Image Communication, IEEE Transactions on Nuclear Science and IEEE Transactions on Signal Processing.

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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