World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
51
Citations
10221
World Ranking
4718
National Ranking
41

Dmitry Schepaschenko 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 Dmitry Schepaschenko 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: 252 publications — 78th percentile

78% of scientists in this discipline score the same or lower.

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

Dmitry Schepaschenko 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 Dmitry Schepaschenko 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: 51 D-Index — 52nd percentile

52% of scientists in this discipline score the same or lower.

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

Overview

Dmitry Schepaschenko is affiliated with the International Institute for Applied Systems Analysis in Austria. Their research primarily focuses on environmental science, with particular attention to global and planetary change, nature and landscape conservation, ecology, atmospheric science, and environmental engineering as major subfields of study.

The scientist's work covers a range of topics related to forests and ecosystems. Key research themes include forest management and policy, remote sensing and LiDAR applications, forest ecology and management, fire effects on ecosystems, remote sensing in agriculture, forest ecology and biodiversity studies, as well as conservation, biodiversity, and resource management.

Dmitry Schepaschenko has participated in publishing recent papers in respected journals. Notable publications include:

  • The enduring world forest carbon sink (2024) published in Nature
  • The global forest above-ground biomass pool for 2010 estimated from high-resolution satellite observations (2021) in Earth system science data
  • Areas of global importance for conserving terrestrial biodiversity, carbon and water (2021) in Nature Ecology & Evolution
  • Siberian carbon sink reduced by forest disturbances (2022) in Nature Geoscience
  • Russian forest sequesters substantially more carbon than previously reported (2021) in Scientific Reports

The scientist has co-authored frequently with several researchers including А. Shvidenko, Liudmila Mukhortova, Myroslava Lesiv, Linda See, and Florian Kraxner.

Dmitry Schepaschenko has published works in a range of venues, with the most frequent being Zenodo (CERN European Organization for Nuclear Research), Forests, SSRN Electronic Journal, Earth system science data, and Environmental Research Letters.

In addition to journal articles, Dmitry Schepaschenko authored a book titled Aboveground Woody Biomass Product Validation Good Practices Protocol published by Ghent University in 2021.

Best Publications

  • Boreal forest health and global change

    S. Gauthier;P. Bernier;T. Kuuluvainen;A. Z. Shvidenko

  • Mapping global cropland and field size

    Steffen Fritz;Linda See;Ian McCallum;Liangzhi You

  • The enduring world forest carbon sink

    Unknown

  • Geo-Wiki: An online platform for improving global land cover

    Steffen Fritz;Ian McCallum;Christian Schill;Christoph Perger

  • Integrated global assessment of the natural forest carbon potential

    Unknown

  • The global forest above-ground biomass pool for 2010 estimated from high-resolution satellite observations

    Maurizio Santoro;Oliver Cartus;Nuno Carvalhais;Nuno Carvalhais;Danaë M. A. Rozendaal

  • Carbon stock and density of northern boreal and temperate forests

    Martin Thurner;Christian Beer;Maurizio Santoro;Nuno Carvalhais

  • The number of tree species on Earth

    Unknown

  • An estimate of the terrestrial carbon budget of Russia using inventory based, eddy covariance and inversion methods

    A. J. Dolman;A. Shvidenko;D. Schepaschenko;P. Ciais

  • Climate Change and Wildfires in Russia

    A. Z. Shvidenko;A. Z. Shvidenko;D. G. Schepaschenko;D. G. Schepaschenko

  • The Importance of Consistent Global Forest Aboveground Biomass Product Validation

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

  • Estimating the global distribution of field size using crowdsourcing.

    Myroslava Lesiv;Juan Carlos Laso Bayas;Linda See;Martina Duerauer

  • Forest growing stock volume of the northern hemisphere: Spatially explicit estimates for 2010 derived from Envisat ASAR

    Maurizio Santoro;André Beaudoin;Christian Beer;Oliver Cartus

  • A global dataset of crowdsourced land cover and land use reference data

    Steffen Fritz;Linda See;Christoph Perger;Ian McCallum

  • Tamm Review: Observed and projected climate change impacts on Russia’s forests and its carbon balance

    Sibyll Schaphoff;Christopher P.O. Reyer;Dmitry Schepaschenko;Dmitry Schepaschenko;Dieter Gerten

  • A comprehensive framework for assessing the accuracy and uncertainty of global above-ground biomass maps

    Unknown

  • Ground Data are Essential for Biomass Remote Sensing Missions

    Jérôme Chave;Stuart J. Davies;Oliver L. Phillips;Simon L. Lewis;Simon L. Lewis

  • Development of a global hybrid forest mask through the synergy of remote sensing, crowdsourcing and FAO statistics

    Dmitry Schepaschenko;Dmitry Schepaschenko;Linda See;Myroslava Lesiv;Myroslava Lesiv;Myroslava Lesiv;Ian McCallum

  • Siberian carbon sink reduced by forest disturbances

    Unknown

  • A new hybrid land cover dataset for Russia: a methodology for integrating statistics, remote sensing and in situ information

    Dmitry Schepaschenko;Ian McCallum;Anatoly Shvidenko;Steffen Fritz

  • Building a hybrid land cover map with crowdsourcing and geographically weighted regression

    Linda See;Dmitry Schepaschenko;Myroslava Lesiv;Myroslava Lesiv;Ian McCallum

  • Spatial distribution of arable and abandoned land across former Soviet Union countries

    Myroslava Lesiv;Dmitry Schepaschenko;Dmitry Schepaschenko;Elena Moltchanova;Rostyslav Bun

  • Semi-empirical models for assessing biological productivity of Northern Eurasian forests

    Anatoly Shvidenko;Dmitry Schepaschenko;Sten Nilsson;Yuri Bouloui

  • Impact of wildfire in Russia between 1998-2010 on ecosystems and the global carbon budget

    A. Z. Shvidenko;A. Z. Shvidenko;D. G. Shchepashchenko;D. G. Shchepashchenko;E. A. Vaganov;E. A. Vaganov;A. I. Sukhinin

  • A global dataset of crowdsourced land cover and land use reference data (2011-2012)

    Steffen Fritz;Linda See;Christoph Perger;Ian McCallum

Frequent Co-Authors

Anatoly Shvidenko
Anatoly Shvidenko International Institute for Applied Systems Analysis
Florian Kraxner
Florian Kraxner International Institute for Applied Systems Analysis
Steffen Fritz
Steffen Fritz International Institute for Applied Systems Analysis
Ian McCallum
Ian McCallum International Institute for Applied Systems Analysis
Linda See
Linda See International Institute for Applied Systems Analysis
Michael Obersteiner
Michael Obersteiner University of Oxford
Maurizio Santoro
Maurizio Santoro Gamma Remote Sensing (Switzerland)
Sten Nilsson
Sten Nilsson International Institute for Applied Systems Analysis
Martin Herold
Martin Herold Wageningen University & Research
Sabine Fuss
Sabine Fuss International Institute for Applied Systems Analysis

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