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John Armston

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Environmental Sciences 50 4889 4680 1800 1661 158 12382

John Armston publications per year

The chart shows the history of publications by John Armston between 2004 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. John Armston published across 23 years, from 2004 to 2026, averaging 9 papers a year. Output peaked at 28 publications in 2023. 12 of the 208 publications appeared in the last two years.

No. of publications
5 10 15 20 25
Bar chart. Horizontal axis: year, 2004 to 2026. Vertical axis: number of publications, 0 to 28. Peak 28 publications in 2023. 2004: 2 publications 2005: 0 publications 2006: 3 publications 2007: 2 publications 2008: 4 publications 2009: 7 publications 2010: 10 publications 2011: 2 publications 2012: 6 publications 2013: 9 publications 2014: 7 publications 2015: 9 publications 2016: 5 publications 2017: 6 publications 2018: 13 publications 2019: 18 publications 2020: 20 publications 2021: 12 publications 2022: 13 publications 2023: 28 publications 2024: 20 publications 2025: 11 publications 2026: 1 publication
2004 2026

208 publications in total across all disciplines

View publications per year as a table
John Armston: publications per year, 2004 to 2026
Year Publications
2004 2
2005 0
2006 3
2007 2
2008 4
2009 7
2010 10
2011 2
2012 6
2013 9
2014 7
2015 9
2016 5
2017 6
2018 13
2019 18
2020 20
2021 12
2022 13
2023 28
2024 20
2025 11
2026 1
Total 208
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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.

No. of scientists
200 400 600
Bar chart with 66 bars. Horizontal axis: publications, 41–50 to 690+. Vertical axis: number of scientists, 0 to 617. Most scientists, 617, have 121–130 publications. The last bar groups every scientist with 690 publications or more. The highlighted bar, 151–160 publications, is where this scientist sits. 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
41–50 publications 690+

This scientist: 158 publications — 46th percentile

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

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

View publications distribution as a table
Number of Environmental Sciences scientists by publication count, Research.com 2026 ranking edition. Based on 9,676 ranked scientists.
Publications Scientists This scientist
41–50 21
51–60 62
61–70 133
71–80 257
81–90 361
91–100 440
101–110 492
111–120 541
121–130 617
131–140 544
141–150 541
151–160 539 158
161–170 444
171–180 444
181–190 400
191–200 377
201–210 318
211–220 282
221–230 263
231–240 220
241–250 217
251–260 180
261–270 181
271–280 155
281–290 130
291–300 127
301–310 130
311–320 85
321–330 106
331–340 80
341–350 83
351–360 75
361–370 69
371–380 52
381–390 54
391–400 56
401–410 44
411–420 40
421–430 36
431–440 25
441–450 25
451–460 32
461–470 29
471–480 21
481–490 26
491–500 26
501–510 17
511–520 19
521–530 15
531–540 22
541–550 12
551–560 15
561–570 11
571–580 19
581–590 9
591–600 9
601–610 7
611–620 11
621–630 5
631–640 5
641–650 6
651–660 3
661–670 3
671–680 4
681–689 4
690+ 100
Download as CSV

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.

No. of scientists
100 200 300
Bar chart with 97 bars. Horizontal axis: D-Index, 30 to 126+. Vertical axis: number of scientists, 0 to 348. Most scientists, 348, have 45 D-Index. The last bar groups every scientist with 126 D-Index or more. The highlighted bar, 50 D-Index, is where this scientist sits. 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: 50 D-Index — 50th percentile

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

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

View D-Index distribution as a table
Number of Environmental Sciences scientists by D-index, Research.com 2026 ranking edition. Based on 9,676 ranked scientists.
D-Index Scientists This scientist
30 12
31 26
32 51
33 88
34 123
35 163
36 206
37 267
38 265
39 275
40 321
41 343
42 305
43 336
44 330
45 348
46 291
47 275
48 272
49 273
50 263 50
51 232
52 266
53 217
54 198
55 177
56 202
57 204
58 166
59 177
60 166
61 152
62 143
63 150
64 124
65 119
66 120
67 118
68 82
69 98
70 94
71 105
72 74
73 84
74 70
75 67
76 78
77 60
78 59
79 52
80 47
81 38
82 48
83 42
84 42
85 43
86 29
87 37
88 29
89 30
90 34
91 20
92 22
93 17
94 19
95 24
96 21
97 20
98 24
99 17
100 17
101 21
102 25
103 18
104 26
105 20
106 15
107 10
108 13
109 15
110 12
111 8
112 7
113 9
114 6
115 12
116 7
117 8
118 3
119 5
120 7
121 2
122 4
123 8
124 7
125 9
126+ 92
Download as CSV

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

External Links

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Related Online Degrees & Career Pathways

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Best Scientists Citing John Armston

Kim Calders

Kim Calders

Ghent University

Publications: 62

Mathias Disney

Mathias Disney

University College London

Publications: 49

Richard Lucas

Richard Lucas

Aberystwyth University

Publications: 42

Martin Herold

Martin Herold

Wageningen University & Research

Publications: 42

Andrew K. Skidmore

Andrew K. Skidmore

University of Twente

Publications: 32

Stuart R. Phinn

Stuart R. Phinn

University of Queensland

Publications: 32

Sassan Saatchi

Sassan Saatchi

California Institute of Technology

Publications: 28

Marco Heurich

Marco Heurich

University of Freiburg

Publications: 26

Crystal B. Schaaf

Crystal B. Schaaf

University of Massachusetts Boston

Publications: 24

Hans Verbeeck

Hans Verbeeck

Ghent University

Publications: 24

Yadvinder Malhi

Yadvinder Malhi

University of Oxford

Publications: 24

Simon L. Lewis

Simon L. Lewis

University College London

Publications: 24

Mikko Vastaranta

Mikko Vastaranta

University of Eastern Finland

Publications: 24

Gregory P. Asner

Gregory P. Asner

Arizona State University

Publications: 23

Carlos A. Silva

Carlos A. Silva

University of Florida

Publications: 20

Mathew Williams

Mathew Williams

University of Edinburgh

Publications: 20

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