Julia Amorós-López

1.4k total citations
34 papers, 1.1k citations indexed

About

Julia Amorós-López is a scholar working on Ecology, Media Technology and Global and Planetary Change. According to data from OpenAlex, Julia Amorós-López has authored 34 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Ecology, 19 papers in Media Technology and 7 papers in Global and Planetary Change. Recurrent topics in Julia Amorós-López's work include Remote Sensing in Agriculture (22 papers), Remote-Sensing Image Classification (18 papers) and Advanced Image Fusion Techniques (9 papers). Julia Amorós-López is often cited by papers focused on Remote Sensing in Agriculture (22 papers), Remote-Sensing Image Classification (18 papers) and Advanced Image Fusion Techniques (9 papers). Julia Amorós-López collaborates with scholars based in Spain, Germany and Netherlands. Julia Amorós-López's co-authors include Luis Gómez‐Chova, Luis Alonso, Gustau Camps‐Valls, Luis Guanter, Joan Vila‐Francés, J. Moreno, Jordi Muñoz-Marı́, Javier Calpe, Gonzalo Mateo‐García and R. Zurita‐Milla and has published in prestigious journals such as Remote Sensing of Environment, Geophysical Research Letters and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Julia Amorós-López

34 papers receiving 1.0k citations

Peers

Julia Amorós-López
Raphaël d’Andrimont Italy
Hongchang He China
Matheus Pinheiro Ferreira Brazil
Craig A. Coburn Canada
Stephanie Delalieux Belgium
Shuai Gao China
Quanjun Jiao China
Jan Stuckens Belgium
Lei Deng China
Changping Huang China
Raphaël d’Andrimont Italy
Julia Amorós-López
Citations per year, relative to Julia Amorós-López Julia Amorós-López (= 1×) peers Raphaël d’Andrimont

Countries citing papers authored by Julia Amorós-López

Since Specialization
Citations

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

Fields of papers citing papers by Julia Amorós-López

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julia Amorós-López. 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 Julia Amorós-López. The network helps show where Julia Amorós-López may publish in the future.

Co-authorship network of co-authors of Julia Amorós-López

This figure shows the co-authorship network connecting the top 25 collaborators of Julia Amorós-López. A scholar is included among the top collaborators of Julia Amorós-López 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 Julia Amorós-López. Julia Amorós-López 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.
2.
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
3.
Piles, María, Julia Amorós-López, Jordi Muñoz-Marı́, et al.. (2021). Learning main drivers of crop progress and failure in Europe with interpretable machine learning. International Journal of Applied Earth Observation and Geoinformation. 104. 102574–102574. 20 indexed citations
4.
Mateo‐García, Gonzalo, Luis Gómez‐Chova, Julia Amorós-López, Jordi Muñoz-Marı́, & Gustau Camps‐Valls. (2018). Multitemporal Cloud Masking in the Google Earth Engine. Remote Sensing. 10(7). 1079–1079. 121 indexed citations
5.
Pérez-Suay, Adrián, Julia Amorós-López, Luis Gómez‐Chova, et al.. (2018). Pattern Recognition Scheme for Large-Scale Cloud Detection Over Landmarks. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 11(11). 3977–3987. 8 indexed citations
6.
Alonso, Luis, Shari Van Wittenberghe, Julia Amorós-López, et al.. (2017). Diurnal Cycle Relationships between Passive Fluorescence, PRI and NPQ of Vegetation in a Controlled Stress Experiment. Remote Sensing. 9(8). 770–770. 69 indexed citations
7.
Muñoz-Marı́, Jordi, Emma Izquierdo‐Verdiguier, Manuel Campos‐Taberner, et al.. (2017). HyperLabelMe : A Web Platform for Benchmarking Remote-Sensing Image Classifiers. IEEE Geoscience and Remote Sensing Magazine. 5(4). 79–85. 11 indexed citations
8.
Gómez‐Chova, Luis, Julia Amorós-López, Gonzalo Mateo‐García, Jordi Muñoz-Marı́, & Gustau Camps‐Valls. (2017). Cloud masking and removal in remote sensing image time series. Journal of Applied Remote Sensing. 11(1). 15005–15005. 44 indexed citations
9.
Gómez‐Chova, Luis, Jordi Muñoz-Marı́, Julia Amorós-López, Emma Izquierdo‐Verdiguier, & Gustau Camps‐Valls. (2013). Advances in synergy of AATSR-MERIS sensors for cloud detection. 105. 4391–4394. 6 indexed citations
10.
Amorós-López, Julia, Luis Gómez‐Chova, Luis Alonso, et al.. (2013). Multitemporal fusion of Landsat/TM and ENVISAT/MERIS for crop monitoring. International Journal of Applied Earth Observation and Geoinformation. 23. 132–141. 145 indexed citations
11.
Gómez‐Chova, Luis, Emma Izquierdo‐Verdiguier, Julia Amorós-López, Jordi Muñoz-Marı́, & Gustau Camps‐Valls. (2013). Kernel change discriminant analysis for multitemporal cloud masking. 2974–2977. 2 indexed citations
12.
Villa, Guillermo, J. Moreno, Alfonso Calera, et al.. (2012). Spectro-temporal reflectance surfaces: a new conceptual framework for the integration of remote-sensing data from multiple different sensors. International Journal of Remote Sensing. 34(9-10). 3699–3715. 10 indexed citations
13.
Gómez‐Chova, Luis, R. Zurita‐Milla, Luis Alonso, et al.. (2011). Gridding Artifacts on Medium-Resolution Satellite Image Time Series: MERIS Case Study. IEEE Transactions on Geoscience and Remote Sensing. 49(7). 2601–2611. 22 indexed citations
14.
Amorós-López, Julia, Luis Gómez‐Chova, Luis Alonso, et al.. (2011). Regularized Multiresolution Spatial Unmixing for ENVISAT/MERIS and Landsat/TM Image Fusion. IEEE Geoscience and Remote Sensing Letters. 8(5). 844–848. 32 indexed citations
15.
Amorós-López, Julia, Luis Gómez‐Chova, Luis Guanter, et al.. (2011). Multitemporal fusion of Landsat and MERIS images. 30. 81–84. 2 indexed citations
16.
Amorós-López, Julia, et al.. (2010). Land cover classification of VHR airborne images for citrus grove identification. ISPRS Journal of Photogrammetry and Remote Sensing. 66(1). 115–123. 27 indexed citations
17.
Amorós-López, Julia, Luis Gómez‐Chova, Luis Guanter, et al.. (2010). Multi-resolution spatial unmixing for MERIS and Landsat image fusion. 30. 3672–3675. 5 indexed citations
18.
Amorós-López, Julia, Emma Izquierdo‐Verdiguier, Luis Gómez‐Chova, et al.. (2008). Multi-stage robust scheme for citrus identification from high resolution airborne images. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7109. 710908–710908. 2 indexed citations
19.
Alonso, Luis, Luis Gómez‐Chova, Joan Vila‐Francés, et al.. (2007). Sensitivity analysis of the fraunhofer line discrimination method for the measurement of chlorophyll fluorescence using a field spectroradiometer. 3756–3759. 36 indexed citations
20.
Gómez‐Chova, Luis, Gustau Camps‐Valls, Julia Amorós-López, et al.. (2006). New Cloud Detection Algorithm for Multispectral and Hyperspectral Images: Application to ENVISAT/MERIS and PROBA/CHRIS Sensors. 2757–2760. 18 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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