B. Coll

15.5k total citations · 5 hit papers
51 papers, 10.9k citations indexed

About

B. Coll is a scholar working on Computer Vision and Pattern Recognition, Geometry and Topology and Media Technology. According to data from OpenAlex, B. Coll has authored 51 papers receiving a total of 10.9k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 18 papers in Geometry and Topology and 18 papers in Media Technology. Recurrent topics in B. Coll's work include Image and Signal Denoising Methods (20 papers), Advanced Image Fusion Techniques (18 papers) and Advanced Differential Equations and Dynamical Systems (18 papers). B. Coll is often cited by papers focused on Image and Signal Denoising Methods (20 papers), Advanced Image Fusion Techniques (18 papers) and Advanced Differential Equations and Dynamical Systems (18 papers). B. Coll collaborates with scholars based in Spain, France and Belgium. B. Coll's co-authors include Jean‐Michel Morel, Antoni Buades, R. Prohens, Armengol Gasull, Catalina Sbert, Vicent Caselles, Joan Duran, Jaume Llibre, Gwendoline Blanchet and Chengzhi Li and has published in prestigious journals such as Communications of the ACM, IEEE Transactions on Image Processing and Surface Science.

In The Last Decade

B. Coll

51 papers receiving 10.3k citations

Hit Papers

A Non-Local Algorithm for Image Denoising 2005 2026 2012 2019 2005 2005 2011 2007 2010 1000 2.0k 3.0k 4.0k

Peers

B. Coll
Comparison fields: 5 of 165
  • Computer Vision and Pattern Recognition 7.8k
  • Media Technology 4.2k
  • Computational Mechanics 1.5k
  • Biomedical Engineering 1.1k
  • Radiology, Nuclear Medicine and Imaging 1.1k
Replace Antoni Buades with:
Antoni Buades Spain
L. Rudin United States
Jean‐Luc Starck France
Peyman Milanfar United States
Emad Fatemi United States
Michal Aharon Israel
Aggelos K. Katsaggelos United States
Yunjin Chen China
Vladimir Katkovnik Finland
Antoni Buades Spain View profile →
Citations per field, relative to B. Coll
B. Coll · 1×
Citations per year, relative to B. Coll
B. Coll · 1×

Countries citing papers authored by B. Coll

Since Specialization
Citations

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

Fields of papers citing papers by B. Coll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of B. Coll

This figure shows the co-authorship network connecting the top 25 collaborators of B. Coll. A scholar is included among the top collaborators of B. Coll based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with B. Coll. B. Coll is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 5
3 74
4 7
5 12
6 8
7 11
8
Image Denoising Methods. A New Nonlocal Principle breakdown →
307
9 99
10 13
11
Nonlocal Image and Movie Denoising breakdown →
582
12 154
13 116
14 39
15 2
16 14
17 10
18 3
19 14
20 34

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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Rankless by CCL
2026