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.
Land surface temperature retrieval from LANDSAT TM 5
20041.7k citationsJosé A. Sobrino, Juan C. Jiménez‐Muñoz et al.profile →
Satellite-derived land surface temperature: Current status and perspectives
20131.7k citationsBo‐Hui Tang, José A. Sobrino et al.profile →
A generalized single‐channel method for retrieving land surface temperature from remote sensing data
2003789 citationsJuan C. Jiménez‐Muñoz, José A. Sobrinoprofile →
Satellite Remote Sensing of Surface Urban Heat Islands: Progress, Challenges, and Perspectives
2018743 citationsDecheng Zhou, Jingfeng Xiao et al.Remote Sensingprofile →
Land Surface Temperature Retrieval Methods From Landsat-8 Thermal Infrared Sensor Data
2014738 citationsJuan C. Jiménez‐Muñoz, José A. Sobrino et al.IEEE Geoscience and Remote Sensing Lettersprofile →
Land Surface Emissivity Retrieval From Different VNIR and TIR Sensors
2008603 citationsJosé A. Sobrino, Juan C. Jiménez‐Muñoz et al.profile →
Toward remote sensing methods for land cover dynamic monitoring: Application to Morocco
2000587 citationsJosé A. Sobrino, Naoufal Raissouniprofile →
Revision of the Single-Channel Algorithm for Land Surface Temperature Retrieval From Landsat Thermal-Infrared Data
2008506 citationsJuan C. Jiménez‐Muñoz, Jordi Cristóbal et al.profile →
Record-breaking warming and extreme drought in the Amazon rainforest during the course of El Niño 2015–2016
2016467 citationsJuan C. Jiménez‐Muñoz, Cristián Mattar et al.profile →
Land surface emissivity retrieval from satellite data
2012399 citationsJosé A. Sobrino, Bo‐Hui Tang et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
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).
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.
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
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 Messenger. 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.