Marcelo Bertalmı́o

11.3k total citations · 4 hit papers
133 papers, 7.3k citations indexed

About

Marcelo Bertalmı́o is a scholar working on Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics and Cognitive Neuroscience. According to data from OpenAlex, Marcelo Bertalmı́o has authored 133 papers receiving a total of 7.3k indexed citations (citations by other indexed papers that have themselves been cited), including 102 papers in Computer Vision and Pattern Recognition, 36 papers in Atomic and Molecular Physics, and Optics and 30 papers in Cognitive Neuroscience. Recurrent topics in Marcelo Bertalmı́o's work include Image Enhancement Techniques (51 papers), Color Science and Applications (35 papers) and Advanced Vision and Imaging (33 papers). Marcelo Bertalmı́o is often cited by papers focused on Image Enhancement Techniques (51 papers), Color Science and Applications (35 papers) and Advanced Vision and Imaging (33 papers). Marcelo Bertalmı́o collaborates with scholars based in Spain, United States and Uruguay. Marcelo Bertalmı́o's 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 and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Marcelo Bertalmı́o

128 papers receiving 6.8k citations

Hit Papers

Image inpainting 2000 2026 2008 2017 2000 2003 2001 2005 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Marcelo Bertalmı́o Spain 28 6.2k 1.5k 1.1k 1.0k 436 133 7.3k
Marcus Magnor Germany 37 4.3k 0.7× 1.6k 1.1× 1.3k 1.2× 673 0.6× 289 0.7× 289 5.6k
Sylvain Paris United States 43 5.8k 0.9× 1.1k 0.7× 575 0.5× 1.6k 1.5× 409 0.9× 90 7.4k
Ren Ng United States 27 5.5k 0.9× 2.6k 1.8× 1.6k 1.4× 1.4k 1.3× 588 1.3× 45 7.7k
Dan B Goldman United States 34 5.2k 0.8× 1.4k 1.0× 751 0.7× 547 0.5× 156 0.4× 59 5.9k
Tien‐Tsin Wong Hong Kong 38 3.4k 0.5× 1.3k 0.9× 818 0.7× 361 0.3× 282 0.6× 193 4.6k
Jingyi Yu China 37 4.4k 0.7× 1.1k 0.8× 826 0.7× 817 0.8× 103 0.2× 219 5.3k
Sing Bing Kang United States 56 9.3k 1.5× 1.8k 1.2× 590 0.5× 2.3k 2.2× 236 0.5× 178 10.8k
Jonathan T. Barron United States 38 8.7k 1.4× 3.8k 2.6× 2.8k 2.5× 1.1k 1.1× 441 1.0× 64 10.9k
Ting-Chun Wang China 26 4.7k 0.8× 788 0.5× 625 0.6× 609 0.6× 171 0.4× 77 6.5k
Todd Zickler United States 33 2.9k 0.5× 1.2k 0.8× 676 0.6× 808 0.8× 652 1.5× 96 3.8k

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 of co-authors of Marcelo Bertalmı́o

This figure shows the co-authorship network connecting the top 25 collaborators of Marcelo Bertalmı́o. A scholar is included among the top collaborators of Marcelo Bertalmı́o 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 Marcelo Bertalmı́o. Marcelo Bertalmı́o 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
1.
Serrano‐Pedraza, Ignacio, et al.. (2025). Overcoming the limitations of motion sensor models by considering dendritic computations. Scientific Reports. 15(1). 9213–9213. 1 indexed citations
2.
Malo, Jesús, José J. Esteve‐Taboada, & Marcelo Bertalmı́o. (2024). Cortical Divisive Normalization from Wilson–Cowan Neural Dynamics. Journal of Nonlinear Science. 34(2). 4 indexed citations
3.
Bertalmı́o, Marcelo, et al.. (2024). Plaid masking explained with input-dependent dendritic nonlinearities. Scientific Reports. 14(1). 24856–24856. 2 indexed citations
4.
Bertalmı́o, Marcelo, et al.. (2023). State-of-the-art image and video quality assessment with a metric based on an intrinsically non-linear neural summation model. Frontiers in Neuroscience. 17. 1222815–1222815. 5 indexed citations
5.
Garcı́a, Narciso, et al.. (2020). Retinal Noise Emulation: A Novel Artistic Tool for Cinema That Also Improves Compression Efficiency. IEEE Access. 8. 67263–67276.
6.
Bertalmı́o, Marcelo, et al.. (2020). Evidence for the intrinsically nonlinear nature of receptive fields in vision. Scientific Reports. 10(1). 16277–16277. 19 indexed citations
7.
Bertalmı́o, Marcelo, et al.. (2019). Visual illusions via neural dynamics: Wilson-Cowan-type models and the\n efficient representation principle. arXiv (Cornell University). 8 indexed citations
8.
Bertalmı́o, Marcelo, et al.. (2019). In Praise of Artifice Reloaded: Caution With Natural Image Databases in Modeling Vision. Frontiers in Neuroscience. 13. 8–8. 17 indexed citations
9.
Batard, Thomas, et al.. (2018). Derivatives and inverse of cascaded linear+nonlinear neural models. PLoS ONE. 13(10). e0201326–e0201326. 19 indexed citations
10.
Bertalmı́o, Marcelo, et al.. (2016). Retinal Lateral Inhibition Provides the Biological Basis of Long-Range Spatial Induction. PLoS ONE. 11(12). e0168963–e0168963. 14 indexed citations
11.
Vázquez-Corral, Javier, Syed Waqas Zamir, Adrián Galdrán, David Pardo, & Marcelo Bertalmı́o. (2016). Image processing applications through a variational perceptually-based color correction related to Retinex. Electronic Imaging. 28(6). 1–6. 2 indexed citations
12.
Bertalmı́o, Marcelo, et al.. (2016). The influence of lightness, and the crispening effect on the perceived contrast of textured images. Electronic Imaging. 28(13). 1–5. 3 indexed citations
13.
Bertalmı́o, Marcelo & Jack D. Cowan. (2009). Implementing the Retinex algorithm with Wilson–Cowan equations. Journal of Physiology-Paris. 103(1-2). 69–72. 31 indexed citations
14.
Bertalmı́o, Marcelo, et al.. (2007). Movie Denoising by Average of Warped Lines. IEEE Transactions on Image Processing. 16(9). 2333–2347. 13 indexed citations
15.
Patwardhan, Kedar A., Guillermo Sapiro, & Marcelo Bertalmı́o. (2007). Video Inpainting Under Constrained Camera Motion. IEEE Transactions on Image Processing. 16(2). 545–553. 175 indexed citations
16.
Ballester, Coloma, et al.. (2007). An Inpainting- Based Deinterlacing Method. IEEE Transactions on Image Processing. 16(10). 2476–2491. 24 indexed citations
17.
Bertalmı́o, Marcelo, Vicent Caselles, Edoardo Provenzi, & Alessandro Rizzi. (2007). Perceptual Color Correction Through Variational Techniques. IEEE Transactions on Image Processing. 16(4). 1058–1072. 127 indexed citations
18.
Bertalmı́o, Marcelo, et al.. (2004). Real-time, accurate depth of field using anisotropic diffusion and programmable graphics cards. 767–773. 28 indexed citations
19.
Rane, Shantanu, Guillermo Sapiro, & Marcelo Bertalmı́o. (2003). Structure and texture filling-in of missing image blocks in wireless transmission and compression applications. IEEE Transactions on Image Processing. 12(3). 296–303. 150 indexed citations
20.
Bertalmı́o, Marcelo, Vicent Caselles, Bernard Rougé, & Andrés Solé. (2003). TV Based Image Restoration with Local Constraints. Journal of Scientific Computing. 19(1-3). 95–122. 57 indexed citations

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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