José E. Adsuara

514 total citations
23 papers, 348 citations indexed

About

José E. Adsuara is a scholar working on Ecology, Global and Planetary Change and Ophthalmology. According to data from OpenAlex, José E. Adsuara has authored 23 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Ecology, 5 papers in Global and Planetary Change and 4 papers in Ophthalmology. Recurrent topics in José E. Adsuara's work include Remote Sensing in Agriculture (7 papers), Glaucoma and retinal disorders (4 papers) and Ophthalmology and Visual Impairment Studies (4 papers). José E. Adsuara is often cited by papers focused on Remote Sensing in Agriculture (7 papers), Glaucoma and retinal disorders (4 papers) and Ophthalmology and Visual Impairment Studies (4 papers). José E. Adsuara collaborates with scholars based in Spain, United States and Austria. José E. Adsuara's co-authors include María Piles, Gustau Camps‐Valls, Adrián Pérez-Suay, Jordi Muñoz-Marı́, M. Á. Aloy, P. Cerdá–Durán, José J. Esteve‐Taboada, Teresa Ferrer‐Blasco, Robert Montés‐Micó and I. Cordero-Carrión and has published in prestigious journals such as PLoS ONE, Remote Sensing of Environment and Scientific Reports.

In The Last Decade

José E. Adsuara

21 papers receiving 339 citations

Peers

José E. Adsuara

ECOLO

RNMI

OPHTH

GPC

Yongqi Xue China

Russell Kincaid United States

Christophe Collet France

Daniele Marinelli Italy

Daniel Pflugfelder Germany

Christer Holmlund Finland

Gustav Tolt Sweden

Yongqiang

Frédéric Galland France

Yongqi Xue China

José E. Adsuara

57 ×0.5

ECOLO

44 ×0.5

RNMI

9 ×0.1

OPHTH

12 ×0.2

20 ×0.3

GPC

Citations per year, relative to José E. Adsuara José E. Adsuara (= 1×) peers Yongqi Xue

Countries citing papers authored by José E. Adsuara

Since Specialization

Citations

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

Fields of papers citing papers by José E. Adsuara

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by José E. Adsuara. 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 José E. Adsuara. The network helps show where José E. Adsuara may publish in the future.

Co-authorship network of co-authors of José E. Adsuara

This figure shows the co-authorship network connecting the top 25 collaborators of José E. Adsuara. A scholar is included among the top collaborators of José E. Adsuara 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 José E. Adsuara. José E. Adsuara 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

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

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

Adsuara, José E., et al.. (2022). Inferring causal relations from observational long-term carbon and water fluxes records. Scientific Reports. 12(1). 1610–1610. 21 indexed citations

Vaerenbergh, Steven Van, María Piles, Valero Laparra, et al.. (2022). Learning about Student Performance from Moodle logs in a Higher Education Context. Repositori UJI (Universitat Jaume I). 3. 1–4. 2 indexed citations

Laparra, Valero, María Piles, Adrián Pérez-Suay, et al.. (2022). Assessing the Impact of Using Short Videos for Teaching at University Level. 1–4. 1 indexed citations

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

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

Izquierdo‐Verdiguier, Emma, Álvaro Moreno‐Martínez, José E. Adsuara, et al.. (2021). Global Upscaling of the MODIS Land Cover with Google Earth Engine and Landsat Data. 309–312.

Moreno‐Martínez, Álvaro, Emma Izquierdo‐Verdiguier, Gustau Camps‐Valls, et al.. (2020). Down-Scaling Modis Vegetation Products with Landsat GAP Filled Surface Reflectance in Google Earth Engine. 3. 2320–2323. 2 indexed citations

10.

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

11.

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

12.

Running, Steven W., Gustau Camps‐Valls, María Piles, et al.. (2019). Inferring causal graphs from observational long-term carbon and water fluxes records. AGU Fall Meeting Abstracts. 2019.

13.

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

14.

Ferrer‐Blasco, Teresa, José J. Esteve‐Taboada, Alberto Domínguez‐Vicent, et al.. (2019). Effect of contact lenses on ocular biometric measurements based on swept-source optical coherence tomography. Arquivos Brasileiros de Oftalmologia. 82(2). 129–135. 7 indexed citations

15.

Aloy, M. Á., José E. Adsuara, P. Cerdá–Durán, et al.. (2017). Estimation of the mechanical properties of the eye through the study of its vibrational modes. PLoS ONE. 12(9). e0183892–e0183892. 23 indexed citations

16.

Ferrer‐Blasco, Teresa, José J. Esteve‐Taboada, M. Á. Aloy, et al.. (2017). Ocular biometric changes with different accommodative stimuli using swept-source optical coherence tomography. International Ophthalmology. 39(2). 303–310. 10 indexed citations

17.

Esteve‐Taboada, José J., Teresa Ferrer‐Blasco, M. Á. Aloy, et al.. (2017). Ocular anatomic changes for different accommodative demands using swept-source optical coherence tomography: a pilot study. Graefe s Archive for Clinical and Experimental Ophthalmology. 255(12). 2399–2406. 9 indexed citations

18.

Adsuara, José E., I. Cordero-Carrión, P. Cerdá–Durán, & M. Á. Aloy. (2016). Scheduled Relaxation Jacobi method: Improvements and applications. Journal of Computational Physics. 321. 369–413. 31 indexed citations

19.

Ferrer‐Blasco, Teresa, Alberto Domínguez‐Vicent, José J. Esteve‐Taboada, et al.. (2016). Evaluation of the repeatability of a swept-source ocular biometer for measuring ocular biometric parameters. Graefe s Archive for Clinical and Experimental Ophthalmology. 255(2). 343–349. 42 indexed citations

20.

Espinosa, Antonio, et al.. (2009). Orymold: ontology based gene expression data integration and analysis tool applied to rice. BMC Bioinformatics. 10(1). 158–158. 1 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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