R. Prost

2.4k citations
102 papers · 1.5k indexed · h-index 20

Impact in

Papers in

R. Prost

91 papers receiving 1.4k citations

Peers

R. Prost
Comparison fields: 5 of 109
  • Computer Graphics and Computer-Aided Design 263
  • Computer Vision and Pattern Recognition 489
  • Computational Mechanics 444
  • Radiation 176
  • Radiology, Nuclear Medicine and Imaging 449
Replace Hari Sundar with:
Hari Sundar United States
Isabelle E. Magnin France
Tomeu Coll Spain
Zuoqiang Shi China
M.D. Fox United States
Thomas Bülow Germany
Marius Lysaker Norway
Gene Gindi United States
Chunlin Wu China
Karl Krissian Spain
R. Prost relative to Hari Sundar United States Hari Sundar's profile →
Citations per field
00.5×6.8×
Hari Sundar · 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 102 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008153
2 2008150
3 201295
4 198681
5 200475
6 200465
7 201063
8 198452
9 200743
10 201543
11 200942
12 200933
13 200232
14 199631
15 201028
16 198228
17 198223
18 201122
19 200720
20 197720

About R. Prost

R. Prost is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Radiology, Nuclear Medicine and Imaging, Signal Processing and Computer Graphics and Computer-Aided Design, having authored 102 papers that have together received 1.5k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (30 papers), Advanced Data Compression Techniques (22 papers), Medical Imaging Techniques and Applications (17 papers), Computer Graphics and Visualization Techniques (17 papers), Digital Filter Design and Implementation (16 papers), 3D Shape Modeling and Analysis (15 papers), Advanced MRI Techniques and Applications (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 (263 citations), Computer Vision and Pattern Recognition (489 citations), Computational Mechanics (444 citations), Radiation (176 citations) and Radiology, Nuclear Medicine and Imaging (449 citations). R. Prost has collaborated with scholars based in France, United States and South Korea. Frequent co-authors include Sébastien Valette, Françoise Peyrin, R. Goutte, Denis Friboulet, J.-M. Chassery, Hervé Liebgott, Voichiţa Maxim, Mirela Frandeș, Gérard Finet and Martine Gilard. Their work appears in journals such as Signal Processing, IEEE Transactions on Image Processing, Signal Processing Image Communication, IEEE Transactions on Signal Processing and IEEE Transactions on Nuclear Science.

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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