José A. Sobrino

25.2k total citations · 10 hit papers
344 papers, 19.0k citations indexed

About

José A. Sobrino is a scholar working on Environmental Engineering, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, José A. Sobrino has authored 344 papers receiving a total of 19.0k indexed citations (citations by other indexed papers that have themselves been cited), including 175 papers in Environmental Engineering, 127 papers in Global and Planetary Change and 107 papers in Atmospheric Science. Recurrent topics in José A. Sobrino's work include Urban Heat Island Mitigation (152 papers), Remote Sensing in Agriculture (95 papers) and Plant Water Relations and Carbon Dynamics (53 papers). José A. Sobrino is often cited by papers focused on Urban Heat Island Mitigation (152 papers), Remote Sensing in Agriculture (95 papers) and Plant Water Relations and Carbon Dynamics (53 papers). José A. Sobrino collaborates with scholars based in Spain, France and United States. José A. Sobrino's co-authors include Juan C. Jiménez‐Muñoz, Leonardo Paolini, Y. Julien, V. Caselles, Cristián Mattar, G. Sòria, Naoufal Raissouni, Zhao-Liang Li, Jordi Cristóbal and Bo‐Hui Tang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and SHILAP Revista de lepidopterología.

In The Last Decade

José A. Sobrino

322 papers receiving 18.1k citations

Hit Papers

Land surface temperature retrieval from LANDSAT TM 5 2000 2026 2008 2017 2004 2013 2003 2018 2014 500 1000 1.5k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
José A. Sobrino Spain 63 13.0k 9.3k 7.6k 4.2k 3.1k 344 19.0k
Zhao-Liang Li China 52 8.7k 0.7× 5.1k 0.5× 6.3k 0.8× 2.3k 0.6× 813 0.3× 346 12.5k
Juan C. Jiménez‐Muñoz Spain 46 6.2k 0.5× 5.0k 0.5× 3.6k 0.5× 2.0k 0.5× 1.9k 0.6× 128 9.5k
Shunlin Liang United States 88 10.5k 0.8× 18.2k 2.0× 10.9k 1.4× 11.3k 2.7× 784 0.3× 548 29.0k
Simon J. Hook United States 55 5.9k 0.5× 4.0k 0.4× 4.5k 0.6× 2.1k 0.5× 622 0.2× 200 11.7k
Tim R. McVicar Australia 69 4.9k 0.4× 15.7k 1.7× 5.9k 0.8× 4.9k 1.2× 590 0.2× 228 23.5k
Sue Grimmond United Kingdom 76 13.8k 1.1× 9.2k 1.0× 5.1k 0.7× 911 0.2× 5.0k 1.6× 278 18.5k
Guangjian Yan China 43 6.6k 0.5× 4.1k 0.4× 2.9k 0.4× 4.0k 1.0× 554 0.2× 238 9.8k
T. R. Oke Canada 63 26.7k 2.1× 12.4k 1.3× 7.7k 1.0× 1.1k 0.3× 12.9k 4.1× 110 31.3k
Arnon Karnieli Israel 55 4.4k 0.3× 5.3k 0.6× 3.7k 0.5× 4.1k 1.0× 1.0k 0.3× 263 12.0k
Martha C. Anderson United States 79 8.5k 0.7× 15.9k 1.7× 5.3k 0.7× 6.0k 1.4× 398 0.1× 344 22.8k

Countries citing papers authored by José A. Sobrino

Since Specialization
Citations

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

Fields of papers citing papers by José A. Sobrino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of José A. Sobrino

This figure shows the co-authorship network connecting the top 25 collaborators of José A. Sobrino. A scholar is included among the top collaborators of José A. Sobrino 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 A. Sobrino. José A. Sobrino 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
2.
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Zhang, Huanyu, Bo‐Hui Tang, Mengmeng Wang, et al.. (2025). Deep learning coupled with split window and temperature-emissivity separation (DL-SW-TES) method improves clear-sky high-resolution land surface temperature estimation. ISPRS Journal of Photogrammetry and Remote Sensing. 225. 1–18. 2 indexed citations
4.
Fernández-Arcaya, U., Patricia Verísimo, José A. Sobrino, et al.. (2023). Bottom fishing beyond trawling. Spatio-temporal trends of mobile and static bottom fisheries on benthic habitats. Marine Policy. 159. 105805–105805. 3 indexed citations
5.
Corbari, Chiara, Alessandro Ceppi, Giovanni Ravazzani, et al.. (2019). SIM: smart irrigation from soil moisture forecast using satellite and hydro -meteorological modelling. EGUGA. 16137. 1 indexed citations
6.
Zhou, Decheng, Jingfeng Xiao, Stefania Bonafoni, et al.. (2018). Satellite Remote Sensing of Surface Urban Heat Islands: Progress, Challenges, and Perspectives. Remote Sensing. 11(1). 48–48. 743 indexed citations breakdown →
7.
Ma, Yaoming, Massimo Menenti, Jun Wen, et al.. (2016). Concerted Earth Observation and Prediction of Water and Energy Cycles in the Third Pole Environment (CEOP-TPE). ESASP. 739. 7. 1 indexed citations
8.
Jiménez‐Muñoz, Juan C., José A. Sobrino, Dražen Skoković, Cristián Mattar, & Jordi Cristóbal. (2014). Land Surface Temperature Retrieval Methods From Landsat-8 Thermal Infrared Sensor Data. IEEE Geoscience and Remote Sensing Letters. 11(10). 1840–1843. 738 indexed citations breakdown →
9.
Jiménez‐Muñoz, Juan C., José A. Sobrino, Jordi Cristóbal, et al.. (2010). Obtención de la temperatura de la superficie terrestre a partir de la serie histórica LANDSAT. 33(33). 53–63. 1 indexed citations
10.
Corbari, Chiara, et al.. (2010). Land surface temperature representativeness in a heterogeneous area through a distributed energy-water balance model and remote sensing data. Hydrology and earth system sciences. 14(10). 2141–2151. 28 indexed citations
11.
Sobrino, José A., et al.. (2009). La eliminación selectiva de vegetación arbustiva en un bosque seco de Argentina y su efecto sobre la dinámica de agua. 93–102. 4 indexed citations
12.
Mattar, Cristián, et al.. (2008). Método simple para identificación de zonas homogéneas de NDVI y temperatura de superficie en la Península Ibérica. 92–101. 2 indexed citations
13.
Parra, Juan Camilo, et al.. (2006). Estimación de la temperatura de suelo desde datos satelitales AVHRR-NOAA aplicando algoritmos de split window. Revista Mexicana de Física. 52(3). 238–245.
14.
Sòria, G., et al.. (2004). The WATERMED field experiment: validation of the AATSR LST product with in situ measurements. cosp. 35. 2606.
15.
Sobrino, José A. & Jauad El Kharraz. (2003). Estimación de la temperatura de la superficie terrestre y del contenido total en vapor de agua atmosférico a partir de datos MODIS. 59–64.
16.
Gillespie, Alan R., et al.. (2003). Separación emisividad/temperatura a partir de datos DAIS y aplicación del contraste espectral para discriminar distintos tipos de vegetación. 51–58. 2 indexed citations
17.
Paolini, Leonardo, et al.. (2002). Detección de deslizamientos de ladera mediante imágenes Landsat TM: el impacto de estos disturbios sobre los bosques subtropicales del noroeste de Argentina. Conicet. 21–27. 6 indexed citations
18.
Coll, César, José A. Sobrino, V. Caselles, et al.. (2001). A Comparison of Methods for Surface Temperature and Emissivity Estimation. ESASP. 499. 217. 2 indexed citations
19.
Sobrino, José A., et al.. (1998). Aplicación de la técnica de composición del máximo NDVI al seguimiento de la cobertura terrestre en la Península Ibérica. Hispana. 2. 1 indexed citations
20.
Baade, D., T. R. Bedding, C. M. Carollo, et al.. (1993). Remote Observing with the NTT and EMMI/SUSI: a First Assessment. ˜The œMessenger. 72. 13–14. 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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