World's Best Scientists 2026 revealed!
Randolph H. Wynne

Randolph H. Wynne

D-Index & Metrics

Environmental Sciences

D-Index
40
Citations
14281
World Ranking
7894
National Ranking
2801

Randolph H. Wynne 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 Randolph H. Wynne 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: 169 publications — 51st percentile

51% of scientists in this discipline score the same or lower.

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

Randolph H. Wynne 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 Randolph H. Wynne 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: 40 D-Index — 19th percentile

19% of scientists in this discipline score the same or lower.

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

Overview

Randolph H. Wynne is affiliated with Virginia Tech in the United States and has contributed extensively to the field of Environmental Science. Their research primarily focuses on topics within remote sensing applications and forest ecology, reflecting a multidisciplinary approach to environmental management and conservation.

The main fields of study associated with Wynne include Environmental Science, with significant contributions to related subfields such as Environmental Engineering, Ecology, Global and Planetary Change, Nature and Landscape Conservation, and Insect Science. These areas highlight an emphasis on understanding the interactions within ecosystems and their responses to environmental changes.

Wynne's research interests are concentrated around several key topics, including:

  • Remote Sensing and LiDAR Applications
  • Remote Sensing in Agriculture
  • Forest ecology and management
  • Forest Management and Policy
  • Forest Ecology and Biodiversity Studies
  • Land Use and Ecosystem Services
  • Conservation, Biodiversity, and Resource Management

Their publication record features contributions to journals specializing in remote sensing, environmental monitoring, and forestry research. Frequent venues for Wynne's work include:

  • Remote Sensing of Environment
  • International Journal of Applied Earth Observation and Geoinformation
  • International Journal of Remote Sensing
  • Ecological Informatics
  • Forestry An International Journal of Forest Research

Wynne has co-authored extensively with several researchers, reflecting collaboration within the forestry and environmental science community. Notable frequent co-authors include Valerie A. Thomas, David R. Carter, Rachel L. Cook, John W. Coulston, and Otávio Camargo Campoe.

Among recent published papers are the following:

  • Estimating the overstory and understory vertical extents and their leaf area index in intensively managed loblolly pine (Pinus taeda L.) plantations using airborne laser scanning, 2020, Remote Sensing of Environment
  • Mapping thins to identify active forest management in southern pine plantations using Landsat time series stacks, 2020, Remote Sensing of Environment
  • Enhancing the precision of broad-scale forestland removals estimates with small area estimation techniques, 2020, Forestry An International Journal of Forest Research
  • Assessing the utility of NAIP digital aerial photogrammetric point clouds for estimating canopy height of managed loblolly pine plantations in the southeastern United States, 2022, International Journal of Applied Earth Observation and Geoinformation
  • Increased Precision in County-Level Volume Estimates in the United States National Forest Inventory With Area-Level Small Area Estimation, 2022, Frontiers in Forests and Global Change

Best Publications

  • Landsat-8: Science and Product Vision for Terrestrial Global Change Research

    David P. Roy;M.A. Wulder;Thomas R. Loveland;C.E. Woodcock

  • Historical Trends in Lake and River Ice Cover in the Northern Hemisphere

    John J. Magnuson;Dale M. Robertson;Barbara J. Benson;Randolph H. Wynne

  • Free access to Landsat imagery.

    Curtis E. Woodcock;Richard Allen;Martha Anderson;Alan Belward

  • Current status of Landsat program, science, and applications

    Michael A. Wulder;Thomas R. Loveland;David P. Roy;Christopher J. Crawford

  • Measuring individual tree crown diameter with lidar and assessing its influence on estimating forest volume and biomass

    Sorin C Popescu;Randolph H Wynne;Ross F Nelson

  • Seeing the Trees in the Forest: Using Lidar and Multispectral Data Fusion with Local Filtering and Variable Window Size for Estimating Tree Height

    Sorin C. Popescu;Randolph H. Wynne

  • Fusion of small footprint LiDAR and multispectral data to estimate plot-level volume and biomass in deciduous and pine forests in Virginia, USA

    Sorin C. Popescu;Randolph H. Wynne;John A. Scrivani

  • Estimating plot-level tree heights with lidar: local filtering with a canopy-height based variable window size

    Sorin C Popescu;Randolph H Wynne;Ross F Nelson

  • Evaluation of Landsat and MODIS data fusion products for analysis of dryland forest phenology

    J.J. Walker;K.M. de Beurs;R.H. Wynne;F. Gao

  • Estimating forest biomass using small footprint LiDAR data: An individual tree-based approach that incorporates training data

    Zachary J. Bortolot;Randolph H. Wynne

  • Measuring the sensitivity of southern Wisconsin lake ice to climate variations and lake depth using a numerical model

    Stephen J. Vavrus;Randolph H. Wynne;Jonathan A. Foley

  • Dryland vegetation phenology across an elevation gradient in Arizona, USA, investigated with fused MODIS and Landsat data

    J.J. Walker;K.M. de Beurs;R.H. Wynne

  • Forest Volume and Biomass Estimation Using Small-Footprint Lidar-Distributional Parameters on a Per-Segment Basis

    Jan A.N. van Aardt;Randolph H. Wynne;Richard G. Oderwald

  • On-the-Fly Massively Multitemporal Change Detection Using Statistical Quality Control Charts and Landsat Data

    Evan B. Brooks;Randolph H. Wynne;Valerie A. Thomas;Christine E. Blinn

  • Revisiting Theories of Frontier Expansion in the Brazilian Amazon: A Survey of the Colonist Farming Population in Rondônia’s Post-Frontier, 1992–2002

    John O. Browder;Marcos A. Pedlowski;Robert Walker;Randolph H. Wynne

  • Fitting the Multitemporal Curve: A Fourier Series Approach to the Missing Data Problem in Remote Sensing Analysis

    Evan B. Brooks;V. A. Thomas;R. H. Wynne;J. W. Coulston

  • Spectral Separability among Six Southern Tree Species

    Randolph H. Wynne;Richard G. Oderwald;James B. Campbell

  • Approximating Prediction Uncertainty for Random Forest Regression Models

    John W. Coulston;Christine E. Blinn;Valerie A. Thomas;Randolph H. Wynne

  • A review of past research on dendrometers

    Neil A. Clark;Randolph H. Wynne;Daniel L. Schmoldt

  • Examining pine spectral separability using hyperspectral data from an airborne sensor: An extension of field-based results

    J. A. N. van Aardt;R. H. Wynne

  • Global patterns of lake ice phenology and climate' Model simulations and observations

    Sinead E. Walsh;Stephen J. Vavrus;Jonathan A. Foley;Veronica A. Fisher

Frequent Co-Authors

Layne T. Watson
Layne T. Watson Virginia Tech
Thomas R. Fox
Thomas R. Fox Boehringer Ingelheim (Germany)
John W. Coulston
John W. Coulston US Forest Service
Martha C. Anderson
Martha C. Anderson Agricultural Research Service
Asko Noormets
Asko Noormets Texas A&M University
Curtis E. Woodcock
Curtis E. Woodcock Boston University
Zhe Zhu
Zhe Zhu University of Connecticut
Harold E. Burkhart
Harold E. Burkhart Virginia Tech
Sorin C. Popescu
Sorin C. Popescu Texas A&M University
David J. Harding
David J. Harding Goddard Space Flight Center

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