Marcelo Bertalmı́o

11.3k citations
133 papers · 7.3k indexed · 4 hit papers · h-index 28

Impact in

Papers in

Marcelo Bertalmı́o

128 papers receiving 6.8k citations

Hit Papers

Navier-stokes, fluid dynamics, and image and video inpainting 2005 · 640 citations
640200020262008201750010001.5k2.0k

Peers

Marcelo Bertalmı́o
Comparison fields: 5 of 137
  • Computer Graphics and Computer-Aided Design 1.5k
  • Computer Vision and Pattern Recognition 6.2k
  • Media Technology 1.0k
  • Computational Mathematics 70
  • Computational Mechanics 1.1k
Replace Sylvain Paris with:
Sylvain Paris United States
Ronen Basri Israel
Stefano Soatto United States
Anat Levin Israel
Yu‐Wing Tai China
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Joachim Weickert Germany
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Yaakov Weiss Israel
Wolfgang Heidrich Canada
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Citations per year

Countries citing papers authored by Marcelo Bertalmı́o

Since Specialization
Citations

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

Fields of papers citing papers by Marcelo Bertalmı́o

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20244
3 20242
4 20235
5 20200
6 202019
7 20198
8 201917
9 201819
10 201614
11 20162
12 20163
13 200931
14 200713
15 2007175
16 200724
17 2007127
18 200428
19 2003150
20 200357

About Marcelo Bertalmı́o

Marcelo Bertalmı́o is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Media Technology, Cognitive Neuroscience and Structural Biology, having authored 133 papers that have together received 7.3k indexed citations. Recurring topics across this work include Image Enhancement Techniques (51 papers), Color Science and Applications (35 papers), Advanced Vision and Imaging (33 papers), Advanced Image Processing Techniques (30 papers), Visual perception and processing mechanisms (28 papers), Computer Graphics and Visualization Techniques (22 papers), Image and Signal Denoising Methods (21 papers) and Advanced Image Fusion Techniques (19 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (1.5k citations), Computer Vision and Pattern Recognition (6.2k citations), Media Technology (1.0k citations), Computational Mathematics (70 citations) and Computational Mechanics (1.1k citations). Marcelo Bertalmı́o has collaborated with scholars based in Spain, United States and Uruguay. Frequent co-authors include Guillermo Sapiro, Coloma Ballester, V. Caselles, Stanley Osher, Vicent Caselles, Andrea L. Bertozzi, Luminita A. Vese, Joan Verdera, Javier Vázquez-Corral and Edoardo Provenzi. Their work appears in journals such as IEEE Transactions on Image Processing, Journal of Vision, SIAM Journal on Imaging Sciences, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.

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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