Héctor Nieto

4.8k total citations
101 papers, 3.3k citations indexed

About

Héctor Nieto is a scholar working on Global and Planetary Change, Ecology and Environmental Engineering. According to data from OpenAlex, Héctor Nieto has authored 101 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 93 papers in Global and Planetary Change, 49 papers in Ecology and 36 papers in Environmental Engineering. Recurrent topics in Héctor Nieto's work include Plant Water Relations and Carbon Dynamics (82 papers), Remote Sensing in Agriculture (48 papers) and Urban Heat Island Mitigation (29 papers). Héctor Nieto is often cited by papers focused on Plant Water Relations and Carbon Dynamics (82 papers), Remote Sensing in Agriculture (48 papers) and Urban Heat Island Mitigation (29 papers). Héctor Nieto collaborates with scholars based in Spain, United States and Denmark. Héctor Nieto's co-authors include Radoslaw Guzinski, William P. Kustas, Inmaculada Aguado, Emilio Chuvieco, Inge Sandholt, M. Pilar Martín, Joseph G. Alfieri, Martha C. Anderson, L. McKee and Feng Gao and has published in prestigious journals such as Remote Sensing of Environment, Water Resources Research and Global Change Biology.

In The Last Decade

Héctor Nieto

97 papers receiving 3.2k citations

Peers

Héctor Nieto
Héctor Nieto
Citations per year, relative to Héctor Nieto Héctor Nieto (= 1×) peers Frédéric Jacob

Countries citing papers authored by Héctor Nieto

Since Specialization
Citations

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

Fields of papers citing papers by Héctor Nieto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Héctor Nieto. 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 Héctor Nieto. The network helps show where Héctor Nieto may publish in the future.

Co-authorship network of co-authors of Héctor Nieto

This figure shows the co-authorship network connecting the top 25 collaborators of Héctor Nieto. A scholar is included among the top collaborators of Héctor Nieto 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 Héctor Nieto. Héctor Nieto 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.
Burchard‐Levine, Vicente, Irene Borra‐Serrano, Héctor Nieto, et al.. (2024). Evaluating the utility of combining high resolution thermal, multispectral and 3D imagery from unmanned aerial vehicles to monitor water stress in vineyards. Precision Agriculture. 25(5). 2447–2476. 4 indexed citations
3.
Fischer, Milan, Natalia Kowalska, Georg Jocher, et al.. (2023). Faster evapotranspiration recovery compared to canopy development post clearcutting in a floodplain forest. Forest Ecology and Management. 532. 120828–120828. 3 indexed citations
4.
Torres‐Rua, Alfonso F., Lawrence E. Hipps, William P. Kustas, et al.. (2023). Spatial estimation of actual evapotranspiration over irrigated turfgrass using sUAS thermal and multispectral imagery and TSEB model. Irrigation Science. 43(1). 5–28. 5 indexed citations
5.
Simpson, Jake, Fenner Holman, Héctor Nieto, et al.. (2022). UAS-based high resolution mapping of evapotranspiration in a Mediterranean tree-grass ecosystem. Agricultural and Forest Meteorology. 321. 108981–108981. 16 indexed citations
6.
Kang, Yanghui, Feng Gao, Martha C. Anderson, et al.. (2022). Evaluation of satellite Leaf Area Index in California vineyards for improving water use estimation. Irrigation Science. 40(4-5). 531–551. 25 indexed citations
8.
Simpson, Jake, Fenner Holman, Héctor Nieto, et al.. (2021). High Spatial and Temporal Resolution Energy Flux Mapping of Different Land Covers Using an Off-the-Shelf Unmanned Aerial System. Remote Sensing. 13(7). 1286–1286. 16 indexed citations
9.
Bellvert, Joaquim, et al.. (2021). Remote Sensing Energy Balance Model for the Assessment of Crop Evapotranspiration and Water Status in an Almond Rootstock Collection. Frontiers in Plant Science. 12. 608967–608967. 27 indexed citations
10.
Aboutalebi, Mahyar, Alfonso F. Torres‐Rua, Mac McKee, et al.. (2019). Validation of digital surface models (DSMs) retrieved from unmanned aerial vehicle (UAV) point clouds using geometrical information from shadows. PubMed. 10664. 19–19. 2 indexed citations
11.
Aboutalebi, Mahyar, Alfonso F. Torres‐Rua, Martin McKee, et al.. (2018). Assessment of Landsat Harmonized sUAS Reflectance Products Using Point Spread Function (PSF) on Vegetation Indices (VIs) and Evapotranspiration (ET) Using the Two-Source Energy Balance (TSEB) Model. AGU Fall Meeting Abstracts. 2018. 3 indexed citations
12.
Nieto, Héctor, William P. Kustas, Alfonso F. Torres‐Rua, et al.. (2018). Evaluation of TSEB turbulent fluxes using different methods for the retrieval of soil and canopy component temperatures from UAV thermal and multispectral imagery. Irrigation Science. 37(3). 389–406. 101 indexed citations
13.
Aboutalebi, Mahyar, Alfonso F. Torres‐Rua, William P. Kustas, et al.. (2018). Assessment of different methods for shadow detection in high-resolution optical imagery and evaluation of shadow impact on calculation of NDVI, and evapotranspiration. Irrigation Science. 37(3). 407–429. 50 indexed citations
14.
Andreu, Ana, Timothy Dube, Héctor Nieto, María P. González-Dugo, & Stephan Hülsmann. (2017). Monitoring African savanna water use and water stress from local to regional scale: supporting rangeland management (pilot experience in Kruger National Park, South Africa).. EGUGA. 15954. 1 indexed citations
15.
Aboutalebi, Mahyar, Alfonso F. Torres‐Rua, Martin McKee, William P. Kustas, & Héctor Nieto. (2017). Evaluation of different shadow detection and restoration methods and their impact on vegetation indices using UAV high-resolution imageries over vineyards. AGU Fall Meeting Abstracts. 2017. 2 indexed citations
16.
Nieto, Héctor, et al.. (2016). Estimating evaporation with thermal UAV data and two-source energy balance models. Hydrology and earth system sciences. 20(2). 697–713. 129 indexed citations
17.
Jensen, Rasmus, et al.. (2016). Crop water stress maps for an entire growing season from visible and thermal UAV imagery. Biogeosciences. 13(24). 6545–6563. 97 indexed citations
18.
Pérez‐Cabello, Fernando, et al.. (2014). Assessment of Methods for Land Surface Temperature Retrieval from Landsat-5 TM Images Applicable to Multiscale Tree-Grass Ecosystem Modeling. Remote Sensing. 6(5). 4345–4368. 100 indexed citations
19.
Guzinski, Radoslaw, Héctor Nieto, Rasmus Jensen, & Gorka Mendiguren. (2014). Remotely sensed land-surface energy fluxes at sub-field scale in heterogeneous agricultural landscape and coniferous plantation. Biogeosciences. 11(18). 5021–5046. 26 indexed citations
20.
Pacheco, C., Inmaculada Aguado, & Héctor Nieto. (2009). Análisis de ocurrencia de incendios forestales causados por rayo en la España peninsular. GeoFocus Revista Internacional de Ciencia y Tecnología de la Información Geográfica. 232–249. 6 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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