Luis Gómez‐Chova

7.5k total citations · 2 hit papers
136 papers, 5.4k citations indexed

About

Luis Gómez‐Chova is a scholar working on Media Technology, Ecology and Atmospheric Science. According to data from OpenAlex, Luis Gómez‐Chova has authored 136 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Media Technology, 51 papers in Ecology and 39 papers in Atmospheric Science. Recurrent topics in Luis Gómez‐Chova's work include Remote-Sensing Image Classification (75 papers), Remote Sensing in Agriculture (51 papers) and Remote Sensing and Land Use (26 papers). Luis Gómez‐Chova is often cited by papers focused on Remote-Sensing Image Classification (75 papers), Remote Sensing in Agriculture (51 papers) and Remote Sensing and Land Use (26 papers). Luis Gómez‐Chova collaborates with scholars based in Spain, Germany and Italy. Luis Gómez‐Chova's co-authors include Gustau Camps‐Valls, Jordi Muñoz-Marı́, Javier Calpe‐Maravilla, Joan Vila‐Francés, Luis Guanter, Luis Alonso, Julia Amorós-López, Gonzalo Mateo‐García, Javier Calpe and Devis Tuia and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Remote Sensing of Environment and Proceedings of the IEEE.

In The Last Decade

Luis Gómez‐Chova

127 papers receiving 5.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Composite Kernels for Hyperspectral Image Classification

2006 899 citations Gustau Camps‐Valls, Luis Gómez‐Chova et al. IEEE Geoscience and Remote Sensing Letters profile →
Multimodal Classification of Remote Sensing Images: A Review and Future Directions

2015 343 citations Luis Gómez‐Chova, Gustau Camps‐Valls et al. profile →

Peers

Countries citing papers authored by Luis Gómez‐Chova

Since Specialization

Citations

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

Fields of papers citing papers by Luis Gómez‐Chova

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luis Gómez‐Chova. 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 Luis Gómez‐Chova. The network helps show where Luis Gómez‐Chova may publish in the future.

Co-authorship network of co-authors of Luis Gómez‐Chova

This figure shows the co-authorship network connecting the top 25 collaborators of Luis Gómez‐Chova. A scholar is included among the top collaborators of Luis Gómez‐Chova 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 Luis Gómez‐Chova. Luis Gómez‐Chova 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

#	Work	Indexed citations
1	Trustworthy Super-Resolution of Multispectral Sentinel-2 Imagery With Latent Diffusion 2025 ·IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ·(unknown), César Aybar, Luis Gómez‐Chova, Freddie Kalaitzis	3
2	Understanding flood detection models across Sentinel-1 and Sentinel-2 modalities and benchmark datasets 2025 ·Remote Sensing of Environment ·(unknown), Gonzalo Mateo‐García, Luis Gómez‐Chova	0
3	A Comprehensive Benchmark for Optical Remote Sensing Image Super-Resolution 2024 ·IEEE Geoscience and Remote Sensing Letters ·César Aybar, David Montero, (unknown), Freddie Kalaitzis, Luis Gómez‐Chova	6
4	Onboard Cloud Detection and Atmospheric Correction With Efficient Deep Learning Models 2024 ·IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ·César Aybar, Gonzalo Mateo‐García, (unknown), (unknown), Gabriele Meoni, Nicolas Longépé, Luis Gómez‐Chova	7
5	SEN2NAIP: A large-scale dataset for Sentinel-2 Image Super-Resolution 2024 ·Scientific Data ·César Aybar, David Montero, (unknown), (unknown), Freddie Kalaitzis, Luis Gómez‐Chova	6
6	CH4Net: a deep learning model for monitoring methane super-emitters with Sentinel-2 imagery 2024 ·Atmospheric measurement techniques ·(unknown), Gonzalo Mateo‐García, Luis Gómez‐Chova, (unknown), Luis Guanter, Itziar Irakulis‐Loitxate	7
7	Motivation and Acceptation Model para herramientas tecnológicas en el ámbito universitario 2023 ·RiuNet (Politechnical University of Valencia) ·(unknown), Adrián Pérez-Suay, Ana B. Ruescas, Álvaro Moreno‐Martínez, (unknown), Gherardo Varando, Roberto Fernandez-Morán, (unknown), Vicent Girbés-Juan, (unknown), Jordi Muñoz-Marı́, Luis Gómez‐Chova	0
8	CloudSEN12, a global dataset for semantic understanding of cloud and cloud shadow in Sentinel-2 2022 ·Scientific Data ·César Aybar, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), David Montero, Martin Sudmanns, Dirk Tiede, Gonzalo Mateo‐García, Luis Gómez‐Chova	50
9	Multi-spectral multi-image super-resolution of Sentinel-2 with radiometric consistency losses and its effect on building delineation 2022 ·ISPRS Journal of Photogrammetry and Remote Sensing ·(unknown), Gonzalo Mateo‐García, (unknown), Luis Gómez‐Chova, Yarin Gal, Freddie Kalaitzis	36
10	Benchmarking Deep Learning Models for Cloud Detection in Landsat-8 and Sentinel-2 Images 2021 ·Remote Sensing ·(unknown), Gonzalo Mateo‐García, Luis Gómez‐Chova	49
11	Cross-Sensor Adversarial Domain Adaptation of Landsat-8 and Proba-V\n images for Cloud Detection 2020 ·arXiv (Cornell University) ·Gonzalo Mateo‐García, Valero Laparra, (unknown), Luis Gómez‐Chova	23
12	Convolutional Long Short-Term Memory Network for Multitemporal Cloud Detection Over Landmarks 2019 ·Gonzalo Mateo‐García, José E. Adsuara, Adrián Pérez-Suay, Luis Gómez‐Chova	6
13	Estimating crop primary productivity with Sentinel-2 and Landsat 8 using machine learning methods trained with radiative transfer simulations 2019 ·Remote Sensing of Environment ·Aleksandra Wolanin, Gustau Camps‐Valls, Luis Gómez‐Chova, Gonzalo Mateo‐García, Christiaan van der Tol, Yongguang Zhang, Luis Guanter	150
14	Multitemporal Cloud Masking in the Google Earth Engine 2018 ·Remote Sensing ·Gonzalo Mateo‐García, Luis Gómez‐Chova, Julia Amorós-López, Jordi Muñoz-Marı́, Gustau Camps‐Valls	121
15	Synergistic Use of MERIS and AATSR Data for Cloud Screening 2010 ·Luis Gómez‐Chova, Jordi Muñoz-Marı́, Emma Izquierdo‐Verdiguier, Gustau Camps‐Valls, Javier Calpe‐Maravilla, J. Moreno, René Preusker, Jürgen Fischer, Carsten Brockmann, Peter North, Peter Regner	1
16	Cloud screening algorithm for MERIS and CHRIS multispectral sensors 2008 ·Tesis Doctorals en Xarxa (Consorci de Serveis Universitaris de Catalunya) ·Luis Gómez‐Chova	2
17	Correction of systematic spatial noise in push-broom hyperspectral sensors: application to CHRIS/PROBA images 2008 ·Applied Optics ·Luis Gómez‐Chova, Luis Alonso, Luis Guanter, Gustau Camps‐Valls, Javier Calpe, J. Moreno	75
18	Hyperspectral image classification with mahalanobis relevance vector machines 2007 ·Gustau Camps‐Valls, (unknown), Jordi Muñoz-Marı́, Luis Gómez‐Chova, Javier Calpe‐Maravilla	6
19	New Cloud Detection Algorithm for Multispectral and Hyperspectral Images: Application to ENVISAT/MERIS and PROBA/CHRIS Sensors 2006 ·Luis Gómez‐Chova, Gustau Camps‐Valls, Julia Amorós-López, Luis Guanter, Luis Alonso, Javier Calpe, J. Moreno	18
20	A low-complexity fuzzy activation function for artificial neural networks 2003 ·IEEE Transactions on Neural Networks ·Emilio Soria‐Olivas, José D. Martín‐Guerrero, Gustau Camps‐Valls, Antonio J. Serrano-López, Javier Calpe‐Maravilla, Luis Gómez‐Chova	33

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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