Valero Laparra

3.6k total citations
73 papers, 1.4k citations indexed

About

Valero Laparra is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Ecology. According to data from OpenAlex, Valero Laparra has authored 73 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Media Technology, 28 papers in Computer Vision and Pattern Recognition and 17 papers in Ecology. Recurrent topics in Valero Laparra's work include Remote-Sensing Image Classification (24 papers), Remote Sensing in Agriculture (17 papers) and Advanced Image Fusion Techniques (10 papers). Valero Laparra is often cited by papers focused on Remote-Sensing Image Classification (24 papers), Remote Sensing in Agriculture (17 papers) and Advanced Image Fusion Techniques (10 papers). Valero Laparra collaborates with scholars based in Spain, United States and Switzerland. Valero Laparra's co-authors include Gustau Camps‐Valls, Jesús Malo, Jordi Muñoz-Marı́, Johannes Ballé, Eero P. Simoncelli, Luis Gómez‐Chova, José Gómez‐Dans, Jochem Verrelst, Fernando Mateo and Gonzalo Mateo‐García and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Remote Sensing of Environment.

In The Last Decade

Valero Laparra

68 papers receiving 1.3k citations

Peers

Valero Laparra

CVPR

ECOLO

Hong Sun China

Fabian Gieseke Germany

Zhaobin Wang China

Robert Moorhead United States

Saikat Basu India

Carlo Gatta Spain

Samuel Foucher Canada

Javier Calpe Spain

Selim Aksoy Türkiye

Benjamin Bischke Germany

Hong Sun China

Valero Laparra

671 ×1.3

CVPR

786 ×2.2

237 ×0.7

ECOLO

221 ×0.9

236 ×1.2

Citations per year, relative to Valero Laparra Valero Laparra (= 1×) peers Hong Sun

Countries citing papers authored by Valero Laparra

Since Specialization

Citations

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

Fields of papers citing papers by Valero Laparra

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Valero Laparra

This figure shows the co-authorship network connecting the top 25 collaborators of Valero Laparra. A scholar is included among the top collaborators of Valero Laparra 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 Valero Laparra. Valero Laparra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Laparra, Valero, et al.. (2026). A Turing Test for artificial nets devoted to vision. Frontiers in Artificial Intelligence. 8. 1665874–1665874.

Cendrero‐Mateo, Maria Pilar, Shari Van Wittenberghe, Valero Laparra, et al.. (2025). Use of Sun-Induced Chlorophyll Fluorescence in Linear and Nonlinear Light Use Efficiency Models for Remote Estimation of Plant Photosynthesis Under Stress Conditions. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 15069–15085.

Laparra, Valero, et al.. (2025). Why Divisive Normalization works in image segmentation?. Neurocomputing. 649. 130569–130569. 1 indexed citations

Laparra, Valero, et al.. (2025). Dissecting the effectiveness of deep features as metric of perceptual image quality. Neural Networks. 185. 107189–107189. 1 indexed citations

Laparra, Valero, et al.. (2024). Alignment of color discrimination in humans and image segmentation networks. Frontiers in Psychology. 15. 1415958–1415958. 3 indexed citations

Laparra, Valero, et al.. (2024). Estimating Information Theoretic Measures via Multidimensional Gaussianization. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(2). 1293–1308. 2 indexed citations

Pérez-Suay, Adrián, et al.. (2024). Learning About Student Performance From Moodle Logs in a Higher Education Context With Gaussian Processes. IEEE Revista Iberoamericana de Tecnologias del Aprendizaje. 19. 169–175.

Laparra, Valero, et al.. (2023). Neural networks with divisive normalization for image segmentation. Pattern Recognition Letters. 173. 64–71. 10 indexed citations

Laparra, Valero, Adrián Pérez-Suay, María Piles, et al.. (2023). Assessing the Impact of Using Short Videos for Teaching at Higher Education: Empirical Evidence From Log-Files in a Learning Management System. IEEE Revista Iberoamericana de Tecnologias del Aprendizaje. 18(3). 233–238. 5 indexed citations

10.

Ballé, Johannes, et al.. (2023). A Scalable Reduced-Complexity Compression of Hyperspectral Remote Sensing Images Using Deep Learning. Remote Sensing. 15(18). 4422–4422. 6 indexed citations

11.

Mateo‐García, Gonzalo, et al.. (2020). Cross-Sensor Adversarial Domain Adaptation of Landsat-8 and Proba-V\n images for Cloud Detection. arXiv (Cornell University). 23 indexed citations

12.

Laparra, Valero, et al.. (2020). Kernel methods and their derivatives: Concept and perspectives for the earth system sciences. PLoS ONE. 15(10). e0235885–e0235885. 17 indexed citations

13.

Wittenberghe, Shari Van, Valero Laparra, José Ignacio García‐Plazaola, et al.. (2020). Combined dynamics of the 500–600 nm leaf absorption and chlorophyll fluorescence changes in vivo: Evidence for the multifunctional energy quenching role of xanthophylls. Biochimica et Biophysica Acta (BBA) - Bioenergetics. 1862(2). 148351–148351. 16 indexed citations

14.

Camps‐Valls, Gustau, Jochem Verrelst, Jordi Muñoz-Marı́, et al.. (2016). A Survey on Gaussian Processes for Earth-Observation Data Analysis: A Comprehensive Investigation. IEEE Geoscience and Remote Sensing Magazine. 4(2). 58–78. 184 indexed citations

15.

Laparra, Valero & Jesús Malo. (2015). Visual aftereffects and sensory nonlinearities from a single statistical framework. Frontiers in Human Neuroscience. 9. 557–557. 20 indexed citations

16.

Gutmann, Michael U., Valero Laparra, Aapo Hyvärinen, & Jesús Malo. (2014). Spatio-Chromatic Adaptation via Higher-Order Canonical Correlation Analysis of Natural Images. PLoS ONE. 9(2). e86481–e86481. 15 indexed citations

17.

Laparra, Valero, et al.. (2013). Visual discrimination and adaptation using non-linear unsupervised learning. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8651. 86511I–86511I. 1 indexed citations

18.

Izquierdo‐Verdiguier, Emma, Valero Laparra, Luis Gómez‐Chova, & Gustau Camps‐Valls. (2012). Including invariances in SVM remote sensing image classification. 7353–7356. 3 indexed citations

19.

Laparra, Valero, Gustau Camps‐Valls, & Jesús Malo. (2011). Iterative Gaussianization: From ICA to Random Rotations. IEEE Transactions on Neural Networks. 22(4). 537–549. 65 indexed citations

20.

Laparra, Valero, Jordi Muñoz-Marı́, & Jesús Malo. (2010). Divisive normalization image quality metric revisited. Journal of the Optical Society of America A. 27(4). 852–852. 72 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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