María Vanrell

1.9k total citations
54 papers, 1.2k citations indexed

About

María Vanrell is a scholar working on Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics and Social Psychology. According to data from OpenAlex, María Vanrell has authored 54 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Computer Vision and Pattern Recognition, 22 papers in Atomic and Molecular Physics, and Optics and 11 papers in Social Psychology. Recurrent topics in María Vanrell's work include Color Science and Applications (22 papers), Image Enhancement Techniques (17 papers) and Image Retrieval and Classification Techniques (17 papers). María Vanrell is often cited by papers focused on Color Science and Applications (22 papers), Image Enhancement Techniques (17 papers) and Image Retrieval and Classification Techniques (17 papers). María Vanrell collaborates with scholars based in Spain, United States and United Kingdom. María Vanrell's co-authors include Joost van de Weijer, Fahad Shahbaz Khan, C. Alejandro Párraga, Xavier Otazu, Ramon Miró Baldrich, Naila Murray, Robert Benavente, Andrew D. Bagdanov, Antonio M. López and Rao Muhammad Anwer and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Pattern Recognition.

In The Last Decade

María Vanrell

50 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
María Vanrell Spain 18 926 201 176 165 120 54 1.2k
Luca Marchesotti Italy 11 1.2k 1.3× 124 0.6× 439 2.5× 50 0.3× 96 0.8× 27 1.4k
Lavanya Sharan United States 8 606 0.7× 138 0.7× 407 2.3× 254 1.5× 168 1.4× 11 1.1k
Weihua Xiong China 13 775 0.8× 164 0.8× 75 0.4× 301 1.8× 71 0.6× 45 906
Naila Murray France 12 1.2k 1.3× 138 0.7× 328 1.9× 23 0.1× 52 0.4× 19 1.3k
Boaz J. Super United States 16 695 0.8× 93 0.5× 497 2.8× 171 1.0× 63 0.5× 32 1.2k
Marc Ebner Germany 13 423 0.5× 105 0.5× 243 1.4× 402 2.4× 186 1.6× 61 1.0k
Christoph Zetzsche Germany 17 404 0.4× 83 0.4× 492 2.8× 40 0.2× 60 0.5× 66 955
Zhiyong Yang China 16 367 0.4× 74 0.4× 345 2.0× 69 0.4× 74 0.6× 92 1.1k
Sumanta Pattanaik United States 23 2.5k 2.7× 400 2.0× 284 1.6× 727 4.4× 61 0.5× 92 3.0k
Imari Sato Japan 20 1.1k 1.2× 439 2.2× 82 0.5× 173 1.0× 45 0.4× 76 1.3k

Countries citing papers authored by María Vanrell

Since Specialization
Citations

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

Fields of papers citing papers by María Vanrell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of María Vanrell

This figure shows the co-authorship network connecting the top 25 collaborators of María Vanrell. A scholar is included among the top collaborators of María Vanrell 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 María Vanrell. María Vanrell 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.
Baldrich, Ramon Miró, et al.. (2025). Relighting From a Single Image: Datasets and Deep Intrinsic-Based Architecture. IEEE Transactions on Multimedia. 27. 2608–2622.
2.
Yang, Yixiong, et al.. (2022). Image Editing of Light and Color from a Single Image: A Baseline Framework. Color and Imaging Conference. 30(1). 188–193. 1 indexed citations
3.
Vanrell, María, et al.. (2018). Color encoding in biologically-inspired convolutional neural networks. Vision Research. 151. 7–17. 28 indexed citations
4.
Vázquez-Corral, Javier, et al.. (2017). Enhancing spatio-chromatic representation with more-than-three color coding for image description. Journal of the Optical Society of America A. 34(5). 827–827. 2 indexed citations
5.
Murray, Naila, María Vanrell, Xavier Otazu, & C. Alejandro Párraga. (2013). Low-Level Spatiochromatic Grouping for Saliency Estimation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 35(11). 2810–2816. 15 indexed citations
6.
Finlayson, Graham D., Javier Vázquez-Corral, Sabine Süsstrunk, & María Vanrell. (2012). Spectral sharpening by spherical sampling. Journal of the Optical Society of America A. 29(7). 1199–1199. 9 indexed citations
7.
Vázquez-Corral, Javier, J. Kevin Ο’Regan, María Vanrell, & Graham D. Finlayson. (2012). A new spectrally sharpened sensor basis to predict color naming, unique hues, and hue cancellation. Journal of Vision. 12(6). 7–7. 13 indexed citations
8.
Otazu, Xavier, C. Alejandro Párraga, & María Vanrell. (2010). Toward a unified chromatic induction model. Journal of Vision. 10(12). 5–5. 27 indexed citations
9.
Párraga, C. Alejandro, Ramon Miró Baldrich, & María Vanrell. (2010). Accurate mapping of natural scenes radiance to cone activation space: a new image dataset. Conference on Colour in Graphics Imaging and Vision. 5(1). 50–57. 11 indexed citations
10.
Baldrich, Ramon Miró, et al.. (2010). Describing Reflectances for Color Segmentation Robust to Shadows, Highlights, and Textures. IEEE Transactions on Pattern Analysis and Machine Intelligence. 33(5). 917–930. 29 indexed citations
11.
Vázquez-Corral, Javier, C. Alejandro Párraga, Ramon Miró Baldrich, & María Vanrell. (2009). Color Constancy Algorithms: Psychophysical Evaluation on a New Dataset. Journal of Imaging Science and Technology. 53(3). 31105–1. 20 indexed citations
12.
Otazu, Xavier, María Vanrell, & C. Alejandro Párraga. (2008). Multiresolution wavelet framework models brightness induction effects. Vision Research. 48(5). 733–751. 35 indexed citations
13.
Benavente, Robert, María Vanrell, & Ramon Miró Baldrich. (2008). Parametric fuzzy sets for automatic color naming. Journal of the Optical Society of America A. 25(10). 2582–2582. 75 indexed citations
14.
Vázquez-Corral, Javier, María Vanrell, Ramon Miró Baldrich, & C. Alejandro Párraga. (2008). Towards a psychophysical evaluation of colour constancy algorithms. Conference on Colour in Graphics Imaging and Vision. 4(1). 372–377. 1 indexed citations
15.
Pirard, Éric, et al.. (2004). Marble classification using scale spaces. Open Repository and Bibliography (University of Liège). 3 indexed citations
16.
Vanrell, María, et al.. (2004). Exploring Colour Constancy Solutions. Conference on Colour in Graphics Imaging and Vision. 2(1). 24–29. 1 indexed citations
17.
Benavente, Robert, María Vanrell, & Ramon Miró Baldrich. (2004). Estimation of fuzzy sets for computational colour categorization. Color Research & Application. 29(5). 342–353. 10 indexed citations
18.
Baldrich, Ramon Miró, et al.. (2004). Color image enhancement based on perceptual sharpening. 2. III–401. 2 indexed citations
19.
Vanrell, María, et al.. (2003). Induction operators for a computational colour–texture representation. Computer Vision and Image Understanding. 94(1-3). 92–114. 8 indexed citations
20.
Vanrell, María & Jordi Vitrià. (2002). 3×3 decomposition of circular structuring elements. 3. 5–8.

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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