Laure Blanc‐Féraud

2.4k citations
65 papers · 1.4k · h-index 17

Impact in

Papers in

Laure Blanc‐Féraud

62 papers receiving 1.3k citations

Peers

Laure Blanc‐Féraud
Comparison fields: 5 of 91
  • Biophysics 226
  • Computer Vision and Pattern Recognition 780
  • Media Technology 308
  • Computational Mechanics 428
  • Mathematical Physics 156
Replace Laure Blanc-Féraud with:
Laure Blanc-Féraud France
Jean–François Aujol France
Tomeu Coll Spain
Guy Gilboa Israel
N.P. Galatsanos United States
Luc Florack Netherlands
Ulugbek S. Kamilov United States
Jinjun Xu United States
Abderrahim Elmoataz France
Bradley J. Lucier United States
Laure Blanc‐Féraud relative to Laure Blanc-Féraud France Laure Blanc-Féraud's profile →
Citations per field
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Citations per year

Countries citing papers authored by Laure Blanc‐Féraud

Since Specialization
Citations

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

Fields of papers citing papers by Laure Blanc‐Féraud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laure Blanc‐Féraud. 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 Laure Blanc‐Féraud. The network helps show where Laure Blanc‐Féraud may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006333
2 2000155
3 2009131
4 201588
5 200381
6 200255
7 200447
8 200543
9 199640
10 200236
11 201736
12 200329
13 200929
14 200227
15
3D Microscopy Deconvolution using Richardson-Lucy Algorithm with Total Variation Regularization
200426
16
Image decomposition: application to textured images and SAR images
200324
17 201416
18 199713
19 200513
20 200712

About Laure Blanc‐Féraud

Laure Blanc‐Féraud is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering, Computational Mechanics, Biophysics and Media Technology, having authored 65 papers that have together received 1.4k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (22 papers), Medical Image Segmentation Techniques (17 papers), Sparse and Compressive Sensing Techniques (17 papers), Advanced Fluorescence Microscopy Techniques (16 papers), Photoacoustic and Ultrasonic Imaging (16 papers), Numerical methods in inverse problems (7 papers), Image Processing Techniques and Applications (7 papers) and Advanced Image Processing Techniques (7 papers). The work is most often cited by research in Biophysics (226 citations), Computer Vision and Pattern Recognition (780 citations), Media Technology (308 citations), Computational Mechanics (428 citations) and Mathematical Physics (156 citations). Laure Blanc‐Féraud has collaborated with scholars based in France, Israel and United States. Frequent co-authors include Josiane Zerubia, Gilles Aubert, Zvi Kam, A. Jalobeanu, Jean‐Christophe Olivo‐Marín, Christophe Zimmer, Pierre Weiss, Pascal Roux, Emmanuel Soubies and Claude Samson. Their work appears in journals such as SIAM Journal on Imaging Sciences, International Journal of Computer Vision, IEEE Transactions on Image Processing, IEEE Antennas and Propagation Magazine and SIAM Journal on Scientific Computing.

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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