World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
39
Citations
4881
World Ranking
8451
National Ranking
255

Héctor Nieto publication distribution in Environmental Sciences in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Environmental Sciences in 2026. The highlighted bar marks where Héctor Nieto sits on this spectrum.

41–50 publications: 21 scientists 51–60 publications: 62 scientists 61–70 publications: 133 scientists 71–80 publications: 257 scientists 81–90 publications: 361 scientists 91–100 publications: 440 scientists 101–110 publications: 492 scientists 111–120 publications: 541 scientists 121–130 publications: 617 scientists 131–140 publications: 544 scientists 141–150 publications: 541 scientists 151–160 publications: 539 scientists 161–170 publications: 444 scientists 171–180 publications: 444 scientists 181–190 publications: 400 scientists 191–200 publications: 377 scientists 201–210 publications: 318 scientists 211–220 publications: 283 scientists 221–230 publications: 263 scientists 231–240 publications: 220 scientists 241–250 publications: 217 scientists 251–260 publications: 180 scientists 261–270 publications: 181 scientists 271–280 publications: 155 scientists 281–290 publications: 130 scientists 291–300 publications: 127 scientists 301–310 publications: 130 scientists 311–320 publications: 85 scientists 321–330 publications: 106 scientists 331–340 publications: 80 scientists 341–350 publications: 83 scientists 351–360 publications: 75 scientists 361–370 publications: 69 scientists 371–380 publications: 52 scientists 381–390 publications: 54 scientists 391–400 publications: 56 scientists 401–410 publications: 44 scientists 411–420 publications: 40 scientists 421–430 publications: 36 scientists 431–440 publications: 25 scientists 441–450 publications: 25 scientists 451–460 publications: 32 scientists 461–470 publications: 29 scientists 471–480 publications: 21 scientists 481–490 publications: 26 scientists 491–500 publications: 25 scientists 501–510 publications: 17 scientists 511–520 publications: 18 scientists 521–530 publications: 15 scientists 531–540 publications: 22 scientists 541–550 publications: 12 scientists 551–560 publications: 15 scientists 561–570 publications: 11 scientists 571–580 publications: 19 scientists 581–590 publications: 9 scientists 591–600 publications: 9 scientists 601–610 publications: 7 scientists 611–620 publications: 11 scientists 621–630 publications: 5 scientists 631–640 publications: 5 scientists 641–650 publications: 6 scientists 651–660 publications: 3 scientists 661–670 publications: 3 scientists 671–680 publications: 4 scientists 681–686 publications: 3 scientists 687+ publications: 100 scientists
41 publications 687+

This scientist: 119 publications — 23rd percentile

23% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 687 publications or more.

Héctor Nieto D-index placement in Environmental Sciences in 2026

The chart shows the D-index (discipline H-index) distribution of Environmental Sciences scientists ranked by Research.com in 2026. The highlighted bar marks where Héctor Nieto sits on this spectrum.

30 D-Index: 12 scientists 31 D-Index: 26 scientists 32 D-Index: 51 scientists 33 D-Index: 88 scientists 34 D-Index: 123 scientists 35 D-Index: 163 scientists 36 D-Index: 206 scientists 37 D-Index: 267 scientists 38 D-Index: 265 scientists 39 D-Index: 275 scientists 40 D-Index: 321 scientists 41 D-Index: 343 scientists 42 D-Index: 305 scientists 43 D-Index: 336 scientists 44 D-Index: 330 scientists 45 D-Index: 348 scientists 46 D-Index: 291 scientists 47 D-Index: 275 scientists 48 D-Index: 272 scientists 49 D-Index: 273 scientists 50 D-Index: 263 scientists 51 D-Index: 232 scientists 52 D-Index: 266 scientists 53 D-Index: 217 scientists 54 D-Index: 199 scientists 55 D-Index: 177 scientists 56 D-Index: 202 scientists 57 D-Index: 204 scientists 58 D-Index: 166 scientists 59 D-Index: 177 scientists 60 D-Index: 166 scientists 61 D-Index: 152 scientists 62 D-Index: 143 scientists 63 D-Index: 150 scientists 64 D-Index: 124 scientists 65 D-Index: 119 scientists 66 D-Index: 120 scientists 67 D-Index: 118 scientists 68 D-Index: 82 scientists 69 D-Index: 98 scientists 70 D-Index: 94 scientists 71 D-Index: 105 scientists 72 D-Index: 74 scientists 73 D-Index: 84 scientists 74 D-Index: 70 scientists 75 D-Index: 67 scientists 76 D-Index: 78 scientists 77 D-Index: 60 scientists 78 D-Index: 59 scientists 79 D-Index: 52 scientists 80 D-Index: 47 scientists 81 D-Index: 38 scientists 82 D-Index: 48 scientists 83 D-Index: 42 scientists 84 D-Index: 42 scientists 85 D-Index: 43 scientists 86 D-Index: 29 scientists 87 D-Index: 37 scientists 88 D-Index: 29 scientists 89 D-Index: 30 scientists 90 D-Index: 34 scientists 91 D-Index: 20 scientists 92 D-Index: 22 scientists 93 D-Index: 17 scientists 94 D-Index: 19 scientists 95 D-Index: 24 scientists 96 D-Index: 21 scientists 97 D-Index: 20 scientists 98 D-Index: 24 scientists 99 D-Index: 17 scientists 100 D-Index: 17 scientists 101 D-Index: 21 scientists 102 D-Index: 25 scientists 103 D-Index: 18 scientists 104 D-Index: 26 scientists 105 D-Index: 19 scientists 106 D-Index: 15 scientists 107 D-Index: 10 scientists 108 D-Index: 13 scientists 109 D-Index: 15 scientists 110 D-Index: 12 scientists 111 D-Index: 8 scientists 112 D-Index: 7 scientists 113 D-Index: 9 scientists 114 D-Index: 6 scientists 115 D-Index: 12 scientists 116 D-Index: 7 scientists 117 D-Index: 8 scientists 118 D-Index: 3 scientists 119 D-Index: 5 scientists 120 D-Index: 7 scientists 121 D-Index: 2 scientists 122 D-Index: 4 scientists 123 D-Index: 8 scientists 124 D-Index: 7 scientists 125+ D-Index: 99 scientists
30 D-Index 125+

This scientist: 39 D-Index — 15th percentile

15% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 125 D-Index or more.

Overview

Héctor Nieto is affiliated with the Spanish National Research Council in Spain. Their research primarily covers the fields of Environmental Science and Agricultural and Biological Sciences, with notable contributions in subfields such as Global and Planetary Change, Ecology, Plant Science, Environmental Engineering, and Soil Science.

The scientist's work addresses a range of topics including:

  • Plant Water Relations and Carbon Dynamics
  • Remote Sensing in Agriculture
  • Horticultural and Viticultural Research
  • Urban Heat Island Mitigation
  • Irrigation Practices and Water Management
  • Hydrology and Watershed Management Studies
  • Greenhouse Technology and Climate Control

Nieto has published research in several frequent venues, reflecting a focus on applied environmental and agricultural sciences. These venues include:

  • Irrigation Science
  • Remote Sensing
  • Agricultural and Forest Meteorology
  • SSRN Electronic Journal
  • HydroShare Resources

They have also contributed to book publications through Universitat de València eBooks, including the 2023 title "Edició digital de les composicions i transcripcions musicals de José Antonio Valls Subirats (1958-1983)."

Héctor Nieto often collaborates with several frequent co-authors, suggesting a network of research partnerships. These collaborators include William P. Kustas, Alfonso F. Torres-Rua, Lawrence E. Hipps, Joseph G. Alfieri, and María Mar Alsina.

Significant recent papers authored or co-authored by Nieto demonstrate a strong engagement with remote sensing and environmental monitoring technologies. Selected examples include:

  • "Modelling High-Resolution Actual Evapotranspiration through Sentinel-2 and Sentinel-3 Data Fusion" (2020) published in Remote Sensing
  • "The Role of Remote Sensing for the Assessment and Monitoring of Forest Health: A Systematic Evidence Synthesis" (2021) published in Forests
  • "Feasibility of Using the Two-Source Energy Balance Model (TSEB) with Sentinel-2 and Sentinel-3 Images to Analyze the Spatio-Temporal Variability of Vine Water Status in a Vineyard" (2020) published in Remote Sensing
  • "Using high-spatiotemporal thermal satellite ET retrievals to monitor water use over California vineyards of different climate, vine variety and trellis design" (2020) published in Agricultural Water Management
  • "The effect of pixel heterogeneity for remote sensing based retrievals of evapotranspiration in a semi-arid tree-grass ecosystem" (2021) published in Remote Sensing of Environment

Best Publications

  • Development of a framework for fire risk assessment using remote sensing and geographic information system technologies

    Emilio Chuvieco;Inmaculada Aguado;Marta Yebra;Héctor Nieto

  • Estimating evaporation with thermal UAV data and two-source energy balance models

    H. Hoffmann;H. Nieto;R. Jensen;R. Guzinski

  • Air temperature estimation with MSG-SEVIRI data: Calibration and validation of the TVX algorithm for the Iberian Peninsula

    Héctor Nieto;Inge Sandholt;Inmaculada Aguado;Emilio Chuvieco

  • Evapotranspiration estimates derived using thermal-based satellite remote sensing and data fusion for irrigation management in California vineyards

    Kyle R. Knipper;William P. Kustas;Martha C. Anderson;Joseph G. Alfieri

  • Evaluating the feasibility of using Sentinel-2 and Sentinel-3 satellites for high-resolution evapotranspiration estimations

    Radoslaw Guzinski;Héctor Nieto

  • Estimation of dead fuel moisture content from meteorological data in Mediterranean areas. Applications in fire danger assessment

    I. Aguado;E. Chuvieco;R. Borén;H. Nieto

  • Assessment of Methods for Land Surface Temperature Retrieval from Landsat-5 TM Images Applicable to Multiscale Tree-Grass Ecosystem Modeling

    Lidia Vlassova;Fernando Pérez-Cabello;Héctor Nieto;M. Pilar Martín

  • Evaluation of TSEB turbulent fluxes using different methods for the retrieval of soil and canopy component temperatures from UAV thermal and multispectral imagery

    Héctor Nieto;William P. Kustas;Alfonso F. Torres-Rúa;Joseph G. Alfieri

  • Crop water stress maps for an entire growing season from visible and thermal UAV imagery

    Helene Hoffmann;Rasmus Jensen;Anton Thomsen;Hector Nieto

  • THE GRAPE REMOTE SENSING ATMOSPHERIC PROFILE AND EVAPOTRANSPIRATION EXPERIMENT.

    William P. Kustas;Martha C. Anderson;Joseph G. Alfieri;Kyle Knipper

  • Combining AVHRR and meteorological data for estimating live fuel moisture content

    Mariano García;Emilio Chuvieco;Héctor Nieto;Inmaculado Aguado

  • Monitoring and validating spatially and temporally continuous daily evaporation and transpiration at river basin scale

    Lisheng Song;Lisheng Song;Shaomin Liu;William P. Kustas;Hector Nieto

  • Modelling High-Resolution Actual Evapotranspiration through Sentinel-2 and Sentinel-3 Data Fusion

    Radoslaw Guzinski;Hector Nieto;Inge Sandholt;Georgios Karamitilios

  • Drivers of spatio-temporal variability of carbon dioxide and energy fluxes in a Mediterranean savanna ecosystem

    Tarek S. El-Madany;Markus Reichstein;Oscar Perez-Priego;Arnaud Carrara

  • Applications of a thermal-based two-source energy balance model using Priestley-Taylor approach for surface temperature partitioning under advective conditions

    Lisheng Song;Lisheng Song;William P. Kustas;Shaomin Liu;Paul D. Colaizzi

  • Using a thermal-based two source energy balance model with time-differencing to estimate surface energy fluxes with day–night MODIS observations

    R. Guzinski;M. C. Anderson;W. P. Kustas;H. Nieto

  • The Role of Remote Sensing for the Assessment and Monitoring of Forest Health: A Systematic Evidence Synthesis

    Pablo Torres;Marina Rodes-Blanco;Alba Viana-Soto;Hector Nieto

  • Revisiting the paper “Using radiometric surface temperature for surface energy flux estimation in Mediterranean drylands from a two-source perspective”

    William P. Kustas;Hector Nieto;Laura Morillas;Martha C. Anderson

  • Using radiometric surface temperature for surface energy flux estimation in Mediterranean drylands from a two-source perspective

    L. Morillas;M. García;M. García;H. Nieto;L. Villagarcia

  • Utility of the two-source energy balance (TSEB) model in vine and interrow flux partitioning over the growing season

    W. P. Kustas;J. G. Alfieri;H. Nieto;T. G. Wilson

  • Disaggregation of SMOS soil moisture over West Africa using the Temperature and Vegetation Dryness Index based on SEVIRI land surface parameters

    T. Tagesson;S. Horion;H. Nieto;V. Zaldo Fornies

  • Dead fuel moisture estimation with MSG-SEVIRI data. Retrieval of meteorological data for the calculation of the equilibrium moisture content

    Héctor Nieto;Héctor Nieto;Inmaculada Aguado;Emilio Chuvieco;Inge Sandholt

Frequent Co-Authors

William P. Kustas
William P. Kustas Agricultural Research Service
Lawrence E. Hipps
Lawrence E. Hipps Utah State University
John H. Prueger
John H. Prueger Agricultural Research Service
Joseph G. Alfieri
Joseph G. Alfieri Agricultural Research Service
Martha C. Anderson
Martha C. Anderson Agricultural Research Service
David Riaño
David Riaño Spanish National Research Council
Emilio Chuvieco
Emilio Chuvieco University of Alcalá
Inge Sandholt
Inge Sandholt University of Copenhagen
Christopher Hain
Christopher Hain Marshall Space Flight Center
Andrew J. McElrone
Andrew J. McElrone United States Department of Agriculture

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