World's Best Scientists 2026 revealed!
Award Badge
Environmental Sciences
Spain
2023

D-Index & Metrics

Environmental Sciences

D-Index
44
Citations
8864
World Ranking
6668
National Ranking
187

David Riaño 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 David Riaño 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: 282 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: 26 scientists 501–510 publications: 17 scientists 511–520 publications: 19 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 681–689 publications: 4 scientists 690+ publications: 100 scientists
41 publications 690+

This scientist: 95 publications — 11th percentile

11% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 690 publications or more.

David Riaño 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 David Riaño 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: 198 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: 20 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: 9 scientists 126+ D-Index: 92 scientists
30 D-Index 126+

This scientist: 44 D-Index — 32nd percentile

32% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 126 D-Index or more.

Research.com Recognitions

  • 2023 - Research.com Environmental Sciences in Spain Leader Award

Overview

David Riaño is affiliated with the Spanish National Research Council in Spain. Their research primarily focuses on Environmental Science, with a specialization in Global and Planetary Change, Ecology, Environmental Engineering, Atmospheric Science, and Water Science and Technology.

Their work covers a range of topics including:

  • Remote Sensing in Agriculture
  • Fire effects on ecosystems
  • Remote Sensing and LiDAR Applications
  • Plant Water Relations and Carbon Dynamics
  • Tree-ring climate responses
  • Land Use and Ecosystem Services
  • Climate variability and models

David Riaño has published multiple papers in various scientific journals. Recent notable publications include:

  • Global fuel moisture content mapping from MODIS, 2021, International Journal of Applied Earth Observation and Geoinformation
  • The effect of pixel heterogeneity for remote sensing based retrievals of evapotranspiration in a semi-arid tree-grass ecosystem, 2021, Remote Sensing of Environment
  • Seasonal Adaptation of the Thermal-Based Two-Source Energy Balance Model for Estimating Evapotranspiration in a Semiarid Tree-Grass Ecosystem, 2020, Remote Sensing
  • A Live Fuel Moisture Content Product from Landsat TM Satellite Time Series for Implementation in Fire Behavior Models, 2020, Remote Sensing
  • A remote sensing-based three-source energy balance model to improve global estimations of evapotranspiration in semi-arid tree-grass ecosystems, 2021, Global Change Biology

Their frequent coauthors include:

  • M. Pilar Martín
  • Marta Yebra
  • Vicente Burchard-Levine
  • Mirco Migliavacca
  • Mariano García

David Riaño's publications are often featured in scientific venues such as:

  • Remote Sensing of Environment
  • Remote Sensing
  • International Journal of Applied Earth Observation and Geoinformation
  • Global Change Biology
  • Revista de Teledetección

Best Publications

  • Assessment of different topographic corrections in Landsat-TM data for mapping vegetation types (2003)

    D. Riano;E. Chuvieco;J. Salas;I. Aguado

  • Combining NDVI and surface temperature for the estimation of live fuel moisture content in forest fire danger rating

    Emilio Chuvieco;David Cocero;David Riaño;David Riaño;M. Pilar Martín

  • Estimating biomass carbon stocks for a Mediterranean forest in central Spain using LiDAR height and intensity data

    Mariano García;David Riaño;David Riaño;Emilio Chuvieco;F. Mark Danson

  • A global review of remote sensing of live fuel moisture content for fire danger assessment: Moving towards operational products

    Marta Yebra;Philip E. Dennison;Emilio Chuvieco;David Riaño;David Riaño

  • Modeling airborne laser scanning data for the spatial generation of critical forest parameters in fire behavior modeling

    David Riaño;David Riaño;Erich Meier;Britta Allgöwer;Emilio Chuvieco

  • Estimation of fuel moisture content from multitemporal analysis of Landsat Thematic Mapper reflectance data: applications in fire danger assessment

    E. Chuvieco;D. Riaño;I. Aguado;D. Cocero

  • Estimation of leaf area index and covered ground from airborne laser scanner (Lidar) in two contrasting forests

    David Riaño;Fernando Valladares;Sonia Condés;Emilio Chuvieco

  • Estimation of live fuel moisture content from MODIS images for fire risk assessment

    Marta Yebra;Emilio Chuvieco;David Riaño

  • Assessment of vegetation regeneration after fire through multitemporal analysis of AVIRIS images in the Santa Monica Mountains

    D Riaño;D Riaño;E Chuvieco;S Ustin;R Zomer

  • Generation of crown bulk density for Pinus sylvestris L. from lidar

    David Riaño;David Riaño;Emilio Chuvieco;Sonia Condés;Javier González-Matesanz

  • Multispectral and LiDAR data fusion for fuel type mapping using Support Vector Machine and decision rules

    Mariano García;David Riaño;David Riaño;Emilio Chuvieco;Javier Salas

  • Estimating Vegetation Water content with Hyperspectral data for different Canopy scenarios: Relationships between AVIRIS and MODIS Indexes

    Yen-Ben Cheng;Pablo J. Zarco-Tejada;David Riaño;David Riaño;Carlos A. Rueda

  • Estimation of fuel moisture content by inversion of radiative transfer models to simulate equivalent water thickness and dry matter content: analysis at leaf and canopy level

    D. Riano;P. Vaughan;E. Chuvieco;P.J. Zarco-Tejada

  • Use of a radiative transfer model to simulate the postfire spectral response to burn severity

    E. Chuvieco;D. Riaño;D. Riaño;F. M. Danson;P. Martin

  • Generation of fuel type maps from Landsat TM images and ancillary data in Mediterranean ecosystems

    David Riaño;Emilio Chuvieco;Javier Salas;Alicia Palacios-Orueta

  • Evaluation of Hyperspectral Reflectance Indexes to Detect Grapevine Water Status in Vineyards

    José R. Rodríguez-Pérez;David Riaño;Eli Carlisle;Susan Ustin

  • Analysing forest recovery after wildfire disturbance in Boreal Siberia using remotely sensed vegetation indices

    María Cuevas-González;Heiko Balzter;David Riaño;David Riaño

  • A fuel moisture content and flammability monitoring methodology for continental Australia based on optical remote sensing

    Marta Yebra;Marta Yebra;Xingwen Quan;David Riaño;David Riaño;Pablo Rozas Larraondo

  • Development of angle indexes for soil moisture estimation, dry matter detection and land-cover discrimination

    Shruti Khanna;Alicia Palacios-Orueta;Alicia Palacios-Orueta;Michael L. Whiting;Susan L. Ustin

  • Multi-temporal vegetation canopy water content retrieval and interpretation using artificial neural networks for the continental USA

    M. Trombetti;D. Riaño;M.A. Rubio;Y.B. Cheng

  • Short communication Estimation of leaf area index and covered ground from airborne laser scanner (Lidar) in two contrasting forests

    David Riaño;Fernando Valladares;Sonia Condés;Emilio Chuvieco

Frequent Co-Authors

Susan L. Ustin
Susan L. Ustin University of California, Davis
Emilio Chuvieco
Emilio Chuvieco University of Alcalá
Philip E. Dennison
Philip E. Dennison University of Utah
Mirco Migliavacca
Mirco Migliavacca Joint Research Centre
Kaiguang Zhao
Kaiguang Zhao The Ohio State University
Pablo J. Zarco-Tejada
Pablo J. Zarco-Tejada Spanish National Research Council
Dar A. Roberts
Dar A. Roberts University of California, Santa Barbara
Arnaud Carrara
Arnaud Carrara University of Antwerp
Héctor Nieto
Héctor Nieto Spanish National Research Council
Heiko Balzter
Heiko Balzter University of Leicester

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For those interested in Environmental Sciences, exploring related online degrees can open doors to diverse career opportunities. Many students seek programs that balance academic rigor with flexibility, making the easiest bachelors degree options worth considering for a smooth transition into the field.

Specializations such as geology are closely related to environmental studies. Pursuing a geology degrees online program can provide valuable insights into earth processes, which are critical for addressing environmental challenges.

Another emerging field is Geographic Information Systems (GIS), which is vital for analyzing environmental data and guiding policy decisions. Many top institutions offer the best GIS schools through online platforms, enabling students to build technical proficiency and improve their career prospects.

For professionals looking to combine environmental expertise with leadership and policy development, an online MPA degrees can be an excellent pathway. These programs emphasize public administration, preparing graduates to influence environmental policies and manage sustainable initiatives effectively.

Best Scientists Citing David Riaño

Trending Scientists

Recently Published Articles