World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
61
Citations
15963
World Ranking
2735
National Ranking
213

Mathias Disney 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 Mathias Disney 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: 223 publications — 71st percentile

71% of scientists in this discipline score the same or lower.

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

Mathias Disney 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 Mathias Disney 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: 61 D-Index — 72nd percentile

72% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2015 - National Institutes of Health Director's Pioneer Award

Overview

Mathias Disney is affiliated with University College London in the United Kingdom. Their research primarily focuses on environmental science, with a strong emphasis on subfields such as environmental engineering, nature and landscape conservation, global and planetary change, ecology, and insect science.

The core topics of Mathias Disney's work include:

  • Remote Sensing and LiDAR Applications
  • Forest ecology and management
  • Remote Sensing in Agriculture
  • Plant Water Relations and Carbon Dynamics
  • Forest Ecology and Biodiversity Studies
  • Ecology and Vegetation Dynamics Studies
  • 3D Surveying and Cultural Heritage

The scientist has collaborated frequently with several researchers, among whom are:

  • Phil Wilkes
  • Kim Calders
  • Andrew Burt
  • Yadvinder Malhi
  • Hans Verbeeck

Mathias Disney has published numerous papers in several notable publication venues. The top venues by the number of publications include:

  • Zenodo (CERN European Organization for Nuclear Research)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Remote Sensing in Ecology and Conservation
  • Remote Sensing of Environment
  • Methods in Ecology and Evolution

Recent papers authored or co-authored by Mathias Disney include:

  • Terrestrial laser scanning in forest ecology: Expanding the horizon (2020), Remote Sensing of Environment
  • Estimating forest above-ground biomass with terrestrial laser scanning: Current status and future directions (2022), Methods in Ecology and Evolution
  • Quantifying tropical forest structure through terrestrial and UAV laser scanning fusion in Australian rainforests (2022), Remote Sensing of Environment
  • Tree species classification using structural features derived from terrestrial laser scanning (2020), ISPRS Journal of Photogrammetry and Remote Sensing
  • Laser scanning reveals potential underestimation of biomass carbon in temperate forest (2022), Ecological Solutions and Evidence

Mathias Disney has also contributed to book publications, including the work published by Ghent University titled Aboveground Woody Biomass Product Validation Good Practices Protocol (2021).

In 2015, Mathias Disney received the National Institutes of Health Director's Pioneer Award, reflecting recognition within their field of study.

Best Publications

  • First operational BRDF, albedo nadir reflectance products from MODIS

    Crystal B Schaaf;Feng Gao;Alan H Strahler;Wolfgang Lucht

  • Fast Automatic Precision Tree Models from Terrestrial Laser Scanner Data

    Pasi Raumonen;Mikko Kaasalainen;Markku Åkerblom;Sanna Kaasalainen

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

    Kim Calders;Glenn Newnham;Andrew Burt;Simon Murphy

  • Hyperspectral remote sensing of foliar nitrogen content.

    Yuri Knyazikhin;Mitchell A. Schull;Pauline Stenberg;Matti Mõttus

  • Terrestrial laser scanning in forest ecology: Expanding the horizon

    Kim Calders;Jennifer Adams;John Armston;Harm Bartholomeus

  • Data acquisition considerations for Terrestrial Laser Scanning of forest plots

    Phil Wilkes;Alvaro Lau;Mathias Disney;Kim Calders;Kim Calders

  • SimpleTree —An Efficient Open Source Tool to Build Tree Models from TLS Clouds

    Jan Hackenberg;Heinrich Spiecker;Kim Calders;Mathias Disney

  • Third Radiation Transfer Model Intercomparison (RAMI) exercise: Documenting progress in canopy reflectance models

    Jean-Luc Widlowski;Malcolm Taberner;Bernard Pinty;Véronique Bruniquel-Pinel

  • Can we measure terrestrial photosynthesis from space directly, using spectral reflectance and fluorescence?

    J Grace;C Nichol;M Disney;P Lewis

  • Terrestrial Laser Scanning for Plot-Scale Forest Measurement

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

  • Estimation of above-ground biomass of large tropical trees with Terrestrial LiDAR

    Jose Gonzalez de Tanago;Jose Gonzalez de Tanago;Alvaro Lau;Alvaro Lau;Harm Bartholomeus;Martin Herold

  • The fourth phase of the radiative transfer model intercomparison (RAMI) exercise: Actual canopy scenarios and conformity testing

    Jean Luc Widlowski;Corrado Mio;Mathias Disney;Jennifer Adams

  • Radiation Transfer Model Intercomparison (RAMI) exercise: Results from the second phase

    B. Pinty;J.-L. Widlowski;M. Taberner;N. Gobron

  • 3d modelling of forest canopy structure for remote sensing simulations in the optical and microwave domains

    M. Disney;P. Lewis;P. Saich

  • Monte Carlo ray tracing in optical canopy reflectance modelling

    M.I. Disney;P. Lewis;P.R.J. North

  • Extracting individual trees from lidar point clouds using treeseg

    Andrew Burt;Mathias Disney;Mathias Disney;Kim Calders

  • Weighing trees with lasers: advances, challenges and opportunities.

    M. I. Disney;M. Boni Vicari;A. Burt;K. Calders

  • Highly Accurate Tree Models Derived from Terrestrial Laser Scan Data: A Method Description

    Jan Hackenberg;Christopher Morhart;Jonathan Sheppard;Heinrich Spiecker

  • Canopy spectral invariants for remote sensing and model applications

    Dong Huang;Yuri Knyazikhin;Robert Earl Dickinson;Miina Rautiainen

  • The Importance of Consistent Global Forest Aboveground Biomass Product Validation

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

  • An assessment of the MODIS collection 5 leaf area index product for a region of mixed coniferous forest

    MG De Kauwe;MI Disney;Tristan Quaife;P Lewis

  • Assimilating canopy reflectance data into an ecosystem model with an Ensemble Kalman Filter

    Tristan Quaife;Philip Lewis;Martin De Kauwe;Mathew Williams

Frequent Co-Authors

Philip Lewis
Philip Lewis University College London
Kim Calders
Kim Calders Ghent University
John Armston
John Armston University of Maryland, College Park
Tristan Quaife
Tristan Quaife University of Reading
Mathew Williams
Mathew Williams University of Edinburgh
Martin Herold
Martin Herold Wageningen University & Research
Yadvinder Malhi
Yadvinder Malhi University of Oxford
Alexander Shenkin
Alexander Shenkin Northern Arizona University
Crystal B. Schaaf
Crystal B. Schaaf University of Massachusetts Boston
Patrick Meir
Patrick Meir University of Edinburgh

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Related Online Degrees & Career Pathways

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Choosing any of these related fields enhances employability in environmental sectors, supporting careers from policy development to fieldwork. Embracing these options can help students tailor their education to their specific interests and goals within the broad scope of environmental sciences.

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