World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
50
Citations
12382
World Ranking
4887
National Ranking
1800

John Armston 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 John Armston 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: 158 publications — 46th percentile

46% of scientists in this discipline score the same or lower.

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

John Armston 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 John Armston 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: 50 D-Index — 50th percentile

50% of scientists in this discipline score the same or lower.

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

Overview

John Armston is affiliated with the University of Maryland, College Park in the United States. Their research primarily focuses on Environmental Science, with significant contributions to subfields including Environmental Engineering, Ecology, Nature and Landscape Conservation, Global and Planetary Change, and Atmospheric Science.

The researcher's work extensively covers topics related to Remote Sensing and LiDAR Applications, Forest Ecology and Management, Remote Sensing in Agriculture, Plant Water Relations and Carbon Dynamics, Forest Management and Policy, Synthetic Aperture Radar (SAR) Applications and Techniques, and Fire Effects on Ecosystems.

Recent publications authored or co-authored by John Armston include:

  • Mapping global forest canopy height through integration of GEDI and Landsat data, 2020, Remote Sensing of Environment
  • The Global Ecosystem Dynamics Investigation: High-resolution laser ranging of the Earth's forests and topography, 2020, Science of Remote Sensing
  • Rapid and robust monitoring of flood events using Sentinel-1 and Landsat data on the Google Earth Engine, 2020, Remote Sensing of Environment
  • Terrestrial laser scanning in forest ecology: Expanding the horizon, 2020, Remote Sensing of Environment
  • Aboveground biomass density models for NASA's Global Ecosystem Dynamics Investigation (GEDI) lidar mission, 2022, Remote Sensing of Environment

John Armston frequently collaborates with several researchers in related fields. Notable co-authors include:

  • Ralph Dubayah
  • Laura Duncanson
  • Temilola Fatoyinbo
  • Hao Tang
  • Kim Calders

The researcher has a consistent publication record in the following journals and venues:

  • Remote Sensing of Environment
  • Zenodo (CERN European Organization for Nuclear Research)
  • Science of Remote Sensing
  • SSRN Electronic Journal
  • Environmental Research Letters

In addition to journal articles, John Armston has contributed to book publications, including a work published by Ghent University titled Aboveground Woody Biomass Product Validation Good Practices Protocol in 2021.

Best Publications

  • Mapping global forest canopy height through integration of GEDI and Landsat data

    Peter Potapov;Xinyuan Li;Andres Hernandez-Serna;Alexandra Tyukavina

  • The Global Ecosystem Dynamics Investigation: High-resolution laser ranging of the Earth’s forests and topography

    Ralph Dubayah;James Bryan Blair;Scott Goetz;Lola Fatoyinbo

  • An integrated pan‐tropical biomass map using multiple reference datasets

    Valerio Avitabile;Martin Herold;Gerard B.M. Heuvelink;Simon L. Lewis;Simon L. Lewis

  • Nondestructive estimates of above‐ground biomass using terrestrial laser scanning

    Kim Calders;Glenn Newnham;Andrew Burt;Simon Murphy

  • Aboveground biomass density models for NASA’s Global Ecosystem Dynamics Investigation (GEDI) lidar mission

    Unknown

  • Rapid and robust monitoring of flood events using Sentinel-1 and Landsat data on the Google Earth Engine

    Ben DeVries;Ben DeVries;Chengquan Huang;John Armston;Wenli Huang;Wenli Huang

  • Terrestrial laser scanning in forest ecology: Expanding the horizon

    Kim Calders;Jennifer Adams;John Armston;Harm Bartholomeus

  • An Evaluation of the ALOS PALSAR L-Band Backscatter—Above Ground Biomass Relationship Queensland, Australia: Impacts of Surface Moisture Condition and Vegetation Structure

    Richard Lucas;John Armston;Russell Fairfax;Rod Fensham

  • The GEDI simulator: A large-footprint waveform lidar simulator for calibration and validation of spaceborne missions

    Steven Hancock;John Armston;Michelle Hofton;Xiaoli Sun

  • Terrestrial Laser Scanning for Plot-Scale Forest Measurement

    Glenn J. Newnham;John D. Armston;Kim Calders;Kim Calders;Mathias I. Disney

  • GEDI launches a new era of biomass inference from space

    Unknown

  • Biomass estimation from simulated GEDI, ICESat-2 and NISAR across environmental gradients in Sonoma County, California

    Laura Duncanson;Laura Duncanson;Amy Neuenschwander;Steven Hancock;Steven Hancock;Nathan Thomas;Nathan Thomas

  • Global canopy height regression and uncertainty estimation from GEDI LIDAR waveforms with deep ensembles

    Nico Lang;Nikolai Kalischek;John Armston;Konrad Schindler

  • Fusing simulated GEDI, ICESat-2 and NISAR data for regional aboveground biomass mapping

    Carlos Alberto Silva;Carlos Alberto Silva;Laura Duncanson;Steven Hancock;Amy Neuenschwander

  • The Importance of Consistent Global Forest Aboveground Biomass Product Validation

    L. Duncanson;J. Armston;M. Disney;V. Avitabile

  • New Opportunities for Forest Remote Sensing Through Ultra-High-Density Drone Lidar

    James R. Kellner;John Armston;Markus Birrer;K. C. Cushman

  • Prediction and validation of foliage projective cover from Landsat-5 TM and Landsat-7 ETM+ imagery.

    John David Armston;Robert J. Denham;Tim J. Danaher;Peter F. Scarth

  • Direct retrieval of canopy gap probability using airborne waveform lidar

    John Armston;M. Disney;Philip Lewis;Peter Scarth

  • Ground Data are Essential for Biomass Remote Sensing Missions

    Jérôme Chave;Stuart J. Davies;Oliver L. Phillips;Simon L. Lewis;Simon L. Lewis

  • Characterizing global forest canopy cover distribution using spaceborne lidar

    Hao Tang;John Armston;Steven Hancock;Suzanne Marselis

  • Integration of LiDAR and QuickBird imagery for mapping riparian biophysical parameters and land cover types in Australian tropical savannas

    Lara A. Arroyo;Kasper Johansen;John Armston;Stuart Phinn

  • Implications of sensor configuration and topography on vertical plant profiles derived from terrestrial LiDAR

    Kim Calders;John Armston;Glenn Newnham;Martin Herold

  • Multi-resolution time series imagery for forest disturbance and regrowth monitoring in Queensland, Australia

    Michael Schmidt;Richard Lucas;Peter Bunting;Jan Verbesselt

Frequent Co-Authors

Ralph Dubayah
Ralph Dubayah University of Maryland, College Park
Mathias Disney
Mathias Disney University College London
Kim Calders
Kim Calders Ghent University
Richard Lucas
Richard Lucas Aberystwyth University
Stuart R. Phinn
Stuart R. Phinn University of Queensland
James R. Kellner
James R. Kellner Brown University
Michelle Hofton
Michelle Hofton University of Maryland, College Park
Martin Herold
Martin Herold Wageningen University & Research
Glenn Newnham
Glenn Newnham Commonwealth Scientific and Industrial Research Organisation
Simon L. Lewis
Simon L. Lewis University College London

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