Pascal Getreuer

1.6k citations
31 papers · 1.2k · h-index 17

Impact in

    • Image and Signal Denoising Methods
    • Advanced Image Processing Techniques
    • Medical Image Segmentation Techniques
    • Image Enhancement Techniques
    • Advanced Vision and Imaging
    • Advanced Image Fusion Techniques
    • Image Processing Techniques and Applications

Papers in

Pascal Getreuer

31 papers receiving 1.1k citations

Peers

Pascal Getreuer
Comparison fields: 5 of 115
  • Computer Vision and Pattern Recognition 754
  • Media Technology 269
  • Signal Processing 110
  • Developmental Biology 19
  • Computational Mechanics 159
Replace Guoshen Yu with:
Guoshen Yu United States
Chandra Sekhar Seelamantula India
Stanley J. Reeves United States
Yaniv Romano Israel
Gabriele Steidl Germany
R. van den Boomgaard Netherlands
Moon Gi Kang South Korea
Hongqing Zhu China
Agnès Desolneux France
R. Hingorani United States
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Citations per field
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Citations per year

Countries citing papers authored by Pascal Getreuer

Since Specialization
Citations

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

Fields of papers citing papers by Pascal Getreuer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012208
2 2012147
3 201297
4 201393
5 201187
6 201779
7 201277
8 201250
9 201145
10 200832
11 201126
12 201721
13 201818
14 201218
15 201217
16 201116
17 201116
18 202115
19 201115
20 201114

About Pascal Getreuer

Pascal Getreuer is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Computational Mechanics, Statistical and Nonlinear Physics and Signal Processing, having authored 31 papers that have together received 1.2k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (18 papers), Advanced Image Processing Techniques (13 papers), Advanced Image Fusion Techniques (6 papers), Advanced Vision and Imaging (5 papers), Image Enhancement Techniques (4 papers), Medical Image Segmentation Techniques (3 papers), Sparse and Compressive Sensing Techniques (3 papers) and Advanced Numerical Analysis Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (754 citations), Media Technology (269 citations), Signal Processing (110 citations), Developmental Biology (19 citations) and Computational Mechanics (159 citations). Pascal Getreuer has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Richard F. Lyon, Rif A. Saurous, Luminita A. Vese, T. A. Hughes, Yuxuan Wang, François G. Meyer, Peyman Milanfar, Ignacio Garcia‐Dorado, Malcolm Slaney and John Isidoro. Their work appears in journals such as Image Processing On Line, Physics Letters A, SIAM Journal on Numerical Analysis, SIAM Journal on Imaging Sciences and IEEE Transactions on Multimedia.

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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