Adrián Pérez-Suay

696 total citations
42 papers, 425 citations indexed

About

Adrián Pérez-Suay is a scholar working on Ecology, Media Technology and Artificial Intelligence. According to data from OpenAlex, Adrián Pérez-Suay has authored 42 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Ecology, 15 papers in Media Technology and 14 papers in Artificial Intelligence. Recurrent topics in Adrián Pérez-Suay's work include Remote Sensing in Agriculture (16 papers), Remote-Sensing Image Classification (15 papers) and Gaussian Processes and Bayesian Inference (5 papers). Adrián Pérez-Suay is often cited by papers focused on Remote Sensing in Agriculture (16 papers), Remote-Sensing Image Classification (15 papers) and Gaussian Processes and Bayesian Inference (5 papers). Adrián Pérez-Suay collaborates with scholars based in Spain, Germany and Türkiye. Adrián Pérez-Suay's co-authors include Gustau Camps‐Valls, Jordi Muñoz-Marı́, José E. Adsuara, María Piles, Pablo Morales-Álvarez, Valero Laparra, Rafael Molina, Luis Gómez‐Chova, Jochem Verrelst and Julia Amorós-López and has published in prestigious journals such as PLoS ONE, Remote Sensing of Environment and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Adrián Pérez-Suay

37 papers receiving 413 citations

Peers

Adrián Pérez-Suay
Vivien Sainte Fare Garnot Switzerland
Marc Rußwurm Switzerland
Minhua Yang China
Rolf Simões Brazil
Chan‐Won Park South Korea
Hannah Kerner United States
Gilberto Ribeiro de Queiroz Brazil
Panle Li China
Xijie Cheng China
Jin Yu China
Vivien Sainte Fare Garnot Switzerland
Adrián Pérez-Suay
Citations per year, relative to Adrián Pérez-Suay Adrián Pérez-Suay (= 1×) peers Vivien Sainte Fare Garnot

Countries citing papers authored by Adrián Pérez-Suay

Since Specialization
Citations

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

Fields of papers citing papers by Adrián Pérez-Suay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Adrián Pérez-Suay. 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 Adrián Pérez-Suay. The network helps show where Adrián Pérez-Suay may publish in the future.

Co-authorship network of co-authors of Adrián Pérez-Suay

This figure shows the co-authorship network connecting the top 25 collaborators of Adrián Pérez-Suay. A scholar is included among the top collaborators of Adrián Pérez-Suay 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 Adrián Pérez-Suay. Adrián Pérez-Suay 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.
Berger, Katja, et al.. (2024). Gaussian Process Regression Hybrid Models for the Top-of-Atmosphere Retrieval of Vegetation Traits Applied to PRISMA and EnMAP Imagery. Remote Sensing. 16(7). 1211–1211. 10 indexed citations
2.
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.
3.
Adsuara, José E., et al.. (2023). Interpretable Long Short-Term Memory Networks for Crop Yield Estimation. IEEE Geoscience and Remote Sensing Letters. 20. 1–5. 30 indexed citations
4.
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
5.
Vaerenbergh, Steven Van, Adrián Pérez-Suay, & Pascual D. Diago. (2023). Acceptance and Intentions of Using Dynamic Geometry Software by Pre-Service Primary School Teachers. Education Sciences. 13(7). 661–661.
6.
Pérez-Suay, Adrián, et al.. (2023). Assessing a Didactic Sequence for Computational Thinking Development in Early Education Using Educational Robots. Education Sciences. 13(7). 669–669. 3 indexed citations
7.
Pérez-Suay, Adrián, Ana B. Ruescas, Álvaro Moreno‐Martínez, et al.. (2023). Motivation and Acceptation Model para herramientas tecnológicas en el ámbito universitario. RiuNet (Politechnical University of Valencia).
8.
Pérez-Suay, Adrián, et al.. (2023). Assessing the Relevance of Information Sources for Modelling Student Performance in a Higher Mathematics Education Course. Education Sciences. 13(6). 555–555. 1 indexed citations
9.
Camps‐Valls, Gustau, Sebastian Sippel, Enikő Székely, et al.. (2022). Physics-aware nonparametric regression models for Earth data analysis. Environmental Research Letters. 17(5). 54034–54034. 11 indexed citations
10.
Pérez-Suay, Adrián, et al.. (2022). Analysis of the contributions to the SDGs of university students by degrees. Repositori UJI (Universitat Jaume I). 1–4.
11.
Li, Zhu, Adrián Pérez-Suay, Gustau Camps‐Valls, & Dino Sejdinović. (2022). Kernel dependence regularizers and Gaussian processes with applications to algorithmic fairness. Pattern Recognition. 132. 108922–108922. 3 indexed citations
12.
Camps‐Valls, Gustau, Adrián Pérez-Suay, José E. Adsuara, et al.. (2021). Physics-Aware Machine Learning for Geosciences and Remote Sensing. 2086–2089. 5 indexed citations
13.
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
14.
Pérez-Suay, Adrián, et al.. (2020). Efficient Nonlinear RX Anomaly Detectors. IEEE Geoscience and Remote Sensing Letters. 18(2). 231–235. 14 indexed citations
15.
Adsuara, José E., et al.. (2019). Nonlinear Distribution Regression for Remote Sensing Applications. IEEE Transactions on Geoscience and Remote Sensing. 57(12). 10025–10035. 11 indexed citations
16.
Mateo‐García, Gonzalo, José E. Adsuara, Adrián Pérez-Suay, & Luis Gómez‐Chova. (2019). Convolutional Long Short-Term Memory Network for Multitemporal Cloud Detection Over Landmarks. 210–213. 6 indexed citations
17.
Piles, María, et al.. (2019). Synergistic integration of optical and microwave satellite data for crop yield estimation. Remote Sensing of Environment. 234. 111460–111460. 94 indexed citations
18.
Pérez-Suay, Adrián & Gustau Camps‐Valls. (2018). Causal Inference in Geoscience and Remote Sensing From Observational Data. IEEE Transactions on Geoscience and Remote Sensing. 57(3). 1502–1513. 19 indexed citations
19.
Pérez-Suay, Adrián & Gustau Camps‐Valls. (2017). Sensitivity maps of the Hilbert–Schmidt independence criterion. Applied Soft Computing. 70. 1054–1063. 9 indexed citations
20.
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

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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