World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
35
Citations
8628
World Ranking
9224
National Ranking
349

Darius S. Culvenor 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 Darius S. Culvenor 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: 75 publications — 3rd percentile

3% of scientists in this discipline score the same or lower.

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

Darius S. Culvenor 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 Darius S. Culvenor 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: 35 D-Index — 5th percentile

5% of scientists in this discipline score the same or lower.

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

Overview

Darius S. Culvenor is affiliated with the Commonwealth Scientific and Industrial Research Organisation (CSIRO) in Australia. Their research primarily centers on environmental science, with a focus on subfields such as environmental engineering, ecology, and global and planetary change.

The scientific work of Darius S. Culvenor covers several key topics, including:

  • Remote Sensing and LiDAR Applications
  • Remote Sensing in Agriculture
  • Plant Water Relations and Carbon Dynamics

Their published works include the following papers:

  • "StrucNet: a global network for automated vegetation structure monitoring" (2023), published in Remote Sensing in Ecology and Conservation
  • "Vertical plant profiles for Dassenbos (NL, 2014-2018, TLS); Wytham Woods (UK, 2022, LEAF) & Northern Australia (2021-2022, LEAF)" (2023), published in Zenodo (CERN European Organization for Nuclear Research)
  • "Vertical plant profiles for Dassenbos (NL, 2014-2018, TLS); Wytham Woods (UK, 2022, LEAF) & Northern Australia (2021-2022, LEAF)" (2023), published in Wageningen University and Researchcenter Publications (Wageningen University & Research)
  • "Automated and continuous estimation of FAPAR from distributed wireless PAR sensor networks" (2025), published in Agricultural and Forest Meteorology

The frequent publication venues for Culvenor's research are:

  • Remote Sensing in Ecology and Conservation
  • Zenodo (CERN European Organization for Nuclear Research)
  • Wageningen University and Researchcenter Publications (Wageningen University & Research)
  • Agricultural and Forest Meteorology

Darius S. Culvenor collaborates often with the following researchers:

  • Kim Calders
  • Benjamin Brede
  • Glenn Newnham
  • John Armston
  • Harm Bartholomeus

Best Publications

  • Detecting trend and seasonal changes in satellite image time series

    Jan Verbesselt;Robin John Hyndman;Glenn Newnham;Darius Culvenor

  • Phenological change detection while accounting for abrupt and gradual trends in satellite image time series

    Jan Verbesselt;Robin Hyndman;Achim Zeileis;Darius Culvenor

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

    Kim Calders;Glenn Newnham;Andrew Burt;Simon Murphy

  • Using airborne and ground-based ranging lidar to measure canopy structure in Australian forests

    J L Lovell;D L.B. Jupp;D S Culvenor;N C Coops

  • TIDA: an algorithm for the delineation of tree crowns in high spatial resolution remotely sensed imagery

    Darius S. Culvenor

  • Assessment of forest structure with airborne LiDAR and the effects of platform altitude

    Nicholas R. Goodwin;Nicholas C. Coops;Darius S. Culvenor

  • Estimating forest LAI profiles and structural parameters using a ground-based laser called ‘Echidna®☆

    David L.B. Jupp;D.S. Culvenor;J.L. Lovell;G.J. Newnham

  • Retrieval of forest structural parameters using a ground-based lidar instrument (Echidna ® )

    Alan H Strahler;David L.B Jupp;Curtis E Woodcock;Crystal B Schaaf

  • Measuring forest structure and biomass in New England forest stands using Echidna ground-based lidar

    Tian Yao;Tian Yao;Xiaoyuan Yang;Feng Zhao;Zhuosen Wang;Zhuosen Wang

  • Comparing canopy metrics derived from terrestrial and airborne laser scanning in a Douglas-fir dominated forest stand

    Thomas Hilker;Martin van Leeuwen;Nicholas C. Coops;Michael A. Wulder

  • Measuring tree stem diameters using intensity profiles from ground-based scanning lidar from a fixed viewpoint

    J.L. Lovell;D.L.B. Jupp;G.J. Newnham;D.S. Culvenor

  • Measuring Effective Leaf Area Index, Foliage Profile, and Stand Height in New England Forest Stands Using a Full-Waveform Ground-Based Lidar

    Feng Zhao;Xiaoyuan Yang;Mitchell A. Schull;Miguel O. Román-Colón

  • Simulation study for finding optimal lidar acquisition parameters for forest height retrieval

    J.L. Lovell;D.L.B. Jupp;G.J. Newnham;N.C. Coops

  • Three-dimensional forest reconstruction and structural parameter retrievals using a terrestrial full-waveform lidar instrument (Echidna®)

    Xiaoyuan Yang;Xiaoyuan Yang;Alan H. Strahler;Crystal B. Schaaf;David L.B. Jupp

  • Assessment of standing wood and fiber quality using ground and airborne laser scanning: A review

    Martin van Leeuwen;Thomas Hilker;Nicholas C. Coops;Gordon Frazer

  • Comparison of forest attributes extracted from fine spatial resolution multispectral and lidar data

    Nicholas C Coops;Michael A Wulder;Darius S Culvenor;Benoît St-Onge

  • Assessment of Dothistroma Needle Blight of Pinus radiata Using Airborne Hyperspectral Imagery.

    N Coops;M Stanford;K Old;M Dudzinski

  • Reviews and syntheses: Australian vegetation phenology: new insights from satellite remote sensing and digital repeat photography

    Caitlin E. Moore;Caitlin E. Moore;Tim Brown;Trevor F. Keenan;Trevor F. Keenan;Remko A. Duursma

  • Chlorophyll content in eucalypt vegetation at the leaf and canopy scales as derived from high resolution spectral data

    Nicholas C Coops;Christine Stone;Darius S Culvenor;Laurie A Chisholm

  • Assessment of crown condition in eucalypt vegetation by remotely sensed optical indices.

    Nicholas C. Coops;Christine Stone;Darius S. Culvenor;Laurie Chisholm

Frequent Co-Authors

Glenn Newnham
Glenn Newnham Commonwealth Scientific and Industrial Research Organisation
David L.B. Jupp
David L.B. Jupp Commonwealth Scientific and Industrial Research Organisation
Nicholas C. Coops
Nicholas C. Coops University of British Columbia
Alan H. Strahler
Alan H. Strahler Boston University
Curtis E. Woodcock
Curtis E. Woodcock Boston University
Zhuosen Wang
Zhuosen Wang University of Maryland, College Park
Feng Zhao
Feng Zhao Microsoft (United States)
Crystal B. Schaaf
Crystal B. Schaaf University of Massachusetts Boston
Michael A. Wulder
Michael A. Wulder Natural Resources Canada
Thomas Hilker
Thomas Hilker Oregon State University

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