World's Best Scientists 2026 revealed!
Harold E. Burkhart

Harold E. Burkhart

D-Index & Metrics

Environmental Sciences

D-Index
56
Citations
10227
World Ranking
3686
National Ranking
1407

Harold E. Burkhart 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 Harold E. Burkhart 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: 245 publications — 77th percentile

77% of scientists in this discipline score the same or lower.

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

Harold E. Burkhart 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 Harold E. Burkhart 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: 56 D-Index — 63rd percentile

63% 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

  • 1981 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

Harold E. Burkhart is affiliated with Virginia Tech in the United States and specializes in Environmental Science, with a focus on Nature and Landscape Conservation, Environmental Engineering, Global and Planetary Change, Mechanical Engineering, and Ecology.

Their research covers several main topics, including:

  • Forest ecology and management
  • Remote Sensing and LiDAR Applications
  • Forest Management and Policy
  • Tree Root and Stability Studies
  • Plant Water Relations and Carbon Dynamics
  • Remote Sensing in Agriculture
  • Ecology and Vegetation Dynamics Studies

Recent papers authored or co-authored by Burkhart include:

  • "Assessing Biotic and Abiotic Effects on Biodiversity Index Using Machine Learning," 2021, published in Forests
  • "Robustness of Parametric and Nonparametric Fitting Procedures of Tree-Stem Taper with Alternative Definitions for Validation Data," 2020, published in Journal of Forestry
  • "Enhancing the precision of broad-scale forestland removals estimates with small area estimation techniques," 2020, published in Forestry An International Journal of Forest Research
  • "Regional Assessment of Carbon Pool Response to Intensive Silvicultural Practices in Loblolly Pine Plantations," 2021, published in Forests
  • "Modeling Tree Growth Responses to Climate Change: A Case Study in Natural Deciduous Mountain Forests," 2022, published in Forests

Burkhart frequently publishes in the following venues:

  • Forests
  • Forestry An International Journal of Forest Research
  • Forest Ecology and Management
  • Journal of Forestry
  • International Journal of Applied Earth Observation and Geoinformation

The scientist collaborates regularly with several co-authors, including:

  • Sheng-I Yang
  • Valerie A. Thomas
  • Mahmoud Bayat
  • Sahar Heidari
  • John W. Coulston

Among recognitions received, Burkhart was named a Fellow of the American Association for the Advancement of Science (AAAS) in 1981.

Best Publications

  • Modeling Forest Trees and Stands

    Harold E. Burkhart;Margarida Tomé

  • Segmented Polynomial Regression Applied to Taper Equations

    Timothy A. Max;Harold E. Burkhart

  • A comparison of competition measures for predicting growth of loblolly pine trees

    Richard F. Daniels;Harold E. Burkhart;Terry R. Clason

  • Distance-Dependent Competition Measures for Predicting Growth of Individual Trees

    Margarida Tomé;Harold E. Burkhart

  • Evaluation of Two Methods for Cubic-Volume Prediction of Loblolly Pine to Any Merchantable Limit

    Quang V. Cao;Harold E. Burkhart;Timothy A. Max

  • Cubic-Foot Volume of Loblolly Pine to Any Merchantable Top Limit

    Harold E. Burkhart

  • A Generalized Approach for Modeling and Localizing Stem Profile Curves.

    Guillermo Trincado;Harold E. Burkhart

  • An Evaluation of Sampling Methods and Model Forms for Estimating Height-Diameter Relationships in Loblolly Pine Plantations

    Alexandros A. Arabatzis;Harold E. Burkhart

  • A Growth and Yield Model for Thinned Stands of Yellow-Poplar

    Bruce R. Knoebel;Harold E. Burkhart;Donald E. Beck

  • Dynamic Site Model for Loblolly Pine (Pinus taeda L.) Plantations in the United States

    Ulises Diéguez-Aranda;Harold E. Burkhart;Ralph L. Amateis

  • Regional mixed-effects height–diameter models for loblolly pine (Pinus taeda L.) plantations

    Guillermo Trincado;Curtis L. VanderSchaaf;Harold E. Burkhart

  • A bivariate distribution approach to modeling forest diameter distributions at two points in time

    Bruce R. Knoebel;Harold E. Burkhart

  • Genetic improvement effects on growth and yield of loblolly pine plantations

    Marilyn A. Buford;Harold E. Burkhart

  • Simulation of Individual Tree Growth and Stand Development in Loblolly Pine Plantations on Cutover, Site-Prepared Areas

    Harold E. Burkhart;Kenneth D. Farrar;Ralph L. Amateis;Richard F. Daniels

  • Modeling dominant height growth of radiata pine (Pinus radiata D. Don) plantations in north-western Spain

    Ulises Diéguez-Aranda;Harold E. Burkhart;Roque Rodríguez-Soalleiro

  • Top height definition and its effect on site index determination in thinned and unthinned loblolly pine plantations

    Mahadev Sharma;Ralph L. Amateis;Harold E. Burkhart

  • Spatial autocorrelation of individual tree characteristics in loblolly pine stands

    David D. Reed;Harold E. Burkhart

  • An integrated system of forest stand models

    Richard F. Daniels;Harold E. Burkhart

  • An application of mixed effects analysis to modeling thinning effects on stem profile of loblolly pine.

    Gudaye Tasissa;Harold E. Burkhart

  • Predicting site index of plantation loblolly pine from biophysical variables

    Charles O. Sabatia;Harold E. Burkhart

Frequent Co-Authors

Margarida Tomé
Margarida Tomé University of Lisbon
Timothy G. Gregoire
Timothy G. Gregoire Yale University
José Luiz Stape
José Luiz Stape North Carolina State University
Thomas R. Fox
Thomas R. Fox Boehringer Ingelheim (Germany)
Randolph H. Wynne
Randolph H. Wynne Virginia Tech
Jean-Christophe Domec
Jean-Christophe Domec Bordeaux Sciences Agro
H. Lee Allen
H. Lee Allen North Carolina State University
Timothy A. Martin
Timothy A. Martin University of Florida
Asko Noormets
Asko Noormets Texas A&M University
John W. Coulston
John W. Coulston US Forest Service

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