World's Best Scientists 2026 revealed!

D-Index & Metrics

Ecology and Evolution

D-Index
44
Citations
6140
World Ranking
5152
National Ranking
269

Sebastian Schmidtlein publication distribution in Ecology and Evolution in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Ecology and Evolution in 2026. The highlighted bar marks where Sebastian Schmidtlein sits on this spectrum.

37–41 publications: 2 scientists 42–46 publications: 9 scientists 47–51 publications: 10 scientists 52–56 publications: 31 scientists 57–61 publications: 56 scientists 62–66 publications: 91 scientists 67–71 publications: 92 scientists 72–76 publications: 127 scientists 77–81 publications: 173 scientists 82–86 publications: 236 scientists 87–91 publications: 227 scientists 92–96 publications: 240 scientists 97–101 publications: 333 scientists 102–106 publications: 280 scientists 107–111 publications: 300 scientists 112–116 publications: 285 scientists 117–121 publications: 305 scientists 122–126 publications: 287 scientists 127–131 publications: 278 scientists 132–136 publications: 289 scientists 137–141 publications: 273 scientists 142–146 publications: 262 scientists 147–151 publications: 246 scientists 152–156 publications: 235 scientists 157–161 publications: 205 scientists 162–166 publications: 199 scientists 167–171 publications: 174 scientists 172–176 publications: 164 scientists 177–181 publications: 173 scientists 182–186 publications: 189 scientists 187–191 publications: 170 scientists 192–196 publications: 139 scientists 197–201 publications: 128 scientists 202–206 publications: 117 scientists 207–211 publications: 115 scientists 212–216 publications: 107 scientists 217–221 publications: 124 scientists 222–226 publications: 81 scientists 227–231 publications: 82 scientists 232–236 publications: 85 scientists 237–241 publications: 75 scientists 242–246 publications: 66 scientists 247–251 publications: 81 scientists 252–256 publications: 69 scientists 257–261 publications: 70 scientists 262–266 publications: 55 scientists 267–271 publications: 64 scientists 272–276 publications: 49 scientists 277–281 publications: 48 scientists 282–286 publications: 44 scientists 287–291 publications: 45 scientists 292–296 publications: 36 scientists 297–301 publications: 39 scientists 302–306 publications: 38 scientists 307–311 publications: 30 scientists 312–316 publications: 34 scientists 317–321 publications: 25 scientists 322–326 publications: 22 scientists 327–331 publications: 28 scientists 332–336 publications: 30 scientists 337–341 publications: 22 scientists 342–346 publications: 30 scientists 347–351 publications: 26 scientists 352–356 publications: 22 scientists 357–361 publications: 29 scientists 362–366 publications: 21 scientists 367–371 publications: 12 scientists 372–376 publications: 18 scientists 377–381 publications: 17 scientists 382–386 publications: 13 scientists 387–391 publications: 21 scientists 392–396 publications: 13 scientists 397–401 publications: 10 scientists 402–406 publications: 15 scientists 407–411 publications: 8 scientists 412–416 publications: 9 scientists 417–421 publications: 8 scientists 422–426 publications: 4 scientists 427–431 publications: 10 scientists 432–436 publications: 10 scientists 437–441 publications: 5 scientists 442–446 publications: 4 scientists 447–451 publications: 10 scientists 452–456 publications: 2 scientists 457–461 publications: 4 scientists 462–466 publications: 7 scientists 467–471 publications: 7 scientists 472–476 publications: 6 scientists 477–481 publications: 6 scientists 482–486 publications: 3 scientists 487–491 publications: 3 scientists 492–496 publications: 4 scientists 497–501 publications: 4 scientists 502–506 publications: 8 scientists 507–511 publications: 5 scientists 512–516 publications: 4 scientists 517–521 publications: 5 scientists 522–526 publications: 4 scientists 527–530 publications: 5 scientists 531+ publications: 100 scientists
37 publications 531+

This scientist: 122 publications — 34th percentile

34% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 531 publications or more.

Sebastian Schmidtlein D-index placement in Ecology and Evolution in 2026

The chart shows the D-index (discipline H-index) distribution of Ecology and Evolution scientists ranked by Research.com in 2026. The highlighted bar marks where Sebastian Schmidtlein sits on this spectrum.

30 D-Index: 95 scientists 31 D-Index: 123 scientists 32 D-Index: 191 scientists 33 D-Index: 245 scientists 34 D-Index: 252 scientists 35 D-Index: 244 scientists 36 D-Index: 249 scientists 37 D-Index: 244 scientists 38 D-Index: 254 scientists 39 D-Index: 254 scientists 40 D-Index: 280 scientists 41 D-Index: 274 scientists 42 D-Index: 266 scientists 43 D-Index: 233 scientists 44 D-Index: 248 scientists 45 D-Index: 208 scientists 46 D-Index: 201 scientists 47 D-Index: 213 scientists 48 D-Index: 207 scientists 49 D-Index: 172 scientists 50 D-Index: 209 scientists 51 D-Index: 199 scientists 52 D-Index: 153 scientists 53 D-Index: 169 scientists 54 D-Index: 163 scientists 55 D-Index: 148 scientists 56 D-Index: 120 scientists 57 D-Index: 146 scientists 58 D-Index: 137 scientists 59 D-Index: 140 scientists 60 D-Index: 104 scientists 61 D-Index: 119 scientists 62 D-Index: 118 scientists 63 D-Index: 99 scientists 64 D-Index: 77 scientists 65 D-Index: 100 scientists 66 D-Index: 86 scientists 67 D-Index: 83 scientists 68 D-Index: 75 scientists 69 D-Index: 94 scientists 70 D-Index: 57 scientists 71 D-Index: 68 scientists 72 D-Index: 59 scientists 73 D-Index: 63 scientists 74 D-Index: 66 scientists 75 D-Index: 60 scientists 76 D-Index: 42 scientists 77 D-Index: 49 scientists 78 D-Index: 39 scientists 79 D-Index: 37 scientists 80 D-Index: 43 scientists 81 D-Index: 41 scientists 82 D-Index: 45 scientists 83 D-Index: 34 scientists 84 D-Index: 40 scientists 85 D-Index: 35 scientists 86 D-Index: 55 scientists 87 D-Index: 24 scientists 88 D-Index: 24 scientists 89 D-Index: 30 scientists 90 D-Index: 23 scientists 91 D-Index: 25 scientists 92 D-Index: 27 scientists 93 D-Index: 27 scientists 94 D-Index: 13 scientists 95 D-Index: 23 scientists 96 D-Index: 12 scientists 97 D-Index: 14 scientists 98 D-Index: 19 scientists 99 D-Index: 16 scientists 100 D-Index: 14 scientists 101 D-Index: 5 scientists 102 D-Index: 21 scientists 103 D-Index: 16 scientists 104 D-Index: 10 scientists 105 D-Index: 7 scientists 106 D-Index: 7 scientists 107 D-Index: 7 scientists 108 D-Index: 6 scientists 109 D-Index: 9 scientists 110 D-Index: 11 scientists 111 D-Index: 12 scientists 112 D-Index: 9 scientists 113 D-Index: 7 scientists 114 D-Index: 3 scientists 115 D-Index: 8 scientists 116 D-Index: 5 scientists 117 D-Index: 11 scientists 118 D-Index: 4 scientists 119 D-Index: 2 scientists 120 D-Index: 5 scientists 121+ D-Index: 100 scientists
30 D-Index 121+

This scientist: 44 D-Index — 41st percentile

41% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 121 D-Index or more.

Overview

Sebastian Schmidtlein is affiliated with the Karlsruhe Institute of Technology in Germany. Their research primarily falls within the field of Environmental Science, encompassing 68 publications. Within this broad field, their work focuses on several subfields including Ecology, Environmental Engineering, Ecological Modeling, Global and Planetary Change, and Nature and Landscape Conservation.

Themes central to their research include:

  • Remote Sensing and LiDAR Applications
  • Species Distribution and Climate Change
  • Remote Sensing in Agriculture
  • Forest Ecology and Biodiversity Studies
  • Forest ecology and management
  • Fire effects on ecosystems
  • Land Use and Ecosystem Services

Schmidtlein has contributed to various scientific journals, with frequent publications appearing in:

  • Forestry An International Journal of Forest Research
  • Zenodo (CERN European Organization for Nuclear Research)
  • Remote Sensing in Ecology and Conservation
  • Applied Vegetation Science
  • European Journal of Remote Sensing

Their recent papers include:

  • Mapping forest tree species in high resolution UAV-based RGB-imagery by means of convolutional neural networks (2020) - ISPRS Journal of Photogrammetry and Remote Sensing
  • Convolutional Neural Networks accurately predict cover fractions of plant species and communities in Unmanned Aerial Vehicle imagery (2020) - Remote Sensing in Ecology and Conservation
  • About the link between biodiversity and spectral variation (2022) - Applied Vegetation Science
  • The retrieval of plant functional traits from canopy spectra through RTM-inversions and statistical models are both critically affected by plant phenology (2020) - Ecological Indicators
  • Deep learning and citizen science enable automated plant trait predictions from photographs (2021) - Scientific Reports

Throughout their career, Schmidtlein has frequently collaborated with several researchers, including:

  • Teja Kattenborn
  • Fabian Ewald Fassnacht
  • Felix Schiefer
  • Hannes Feilhauer
  • Milan Chytrý

Best Publications

  • Will remote sensing shape the next generation of species distribution models

    Kate S. He;Bethany A. Bradley;Anna F. Cord;Duccio Rocchini

  • Mapping forest tree species in high resolution UAV-based RGB-imagery by means of convolutional neural networks

    Felix Schiefer;Teja Kattenborn;Teja Kattenborn;Annett Frick;Julian Frey

  • Mapping of continuous floristic gradients in grasslands using hyperspectral imagery

    Sebastian Schmidtlein;Julia Sassin

  • Alien invasive slider turtle in unpredicted habitat: a matter of niche shift or of predictors studied?

    Dennis Rödder;Sebastian Schmidtlein;Michael Veith;Stefan Lötters

  • Linking earth observation and taxonomic, structural and functional biodiversity: local to ecosystem perspectives

    Angela Lausch;L Bannehr;Michael Beckmann;Christoph Boehm

  • Global Amphibian Extinction Risk Assessment for the Panzootic Chytrid Fungus

    Dennis Rödder;Jos Kielgast;Jon Bielby;Sebastian Schmidtlein

  • A comparative framework for broad‐scale plot‐based vegetation classification

    Miquel De Cáceres;Milan Chytrý;Emiliano Agrillo;Fabio Attorre

  • Brightness-normalized Partial Least Squares Regression for hyperspectral data

    Hannes Feilhauer;Hannes Feilhauer;Gregory P. Asner;Roberta E. Martin;Sebastian Schmidtlein

  • Mapping plant strategy types using remote sensing

    Sebastian Schmidtlein;Hannes Feilhauer;Helge Bruelheide

  • Uncertainty in ecosystem mapping by remote sensing

    Duccio Rocchini;Giles M. Foody;Harini Nagendra;Carlo Ricotta

  • Convolutional Neural Networks accurately predict cover fractions of plant species and communities in Unmanned Aerial Vehicle imagery

    Teja Kattenborn;Jana Eichel;Susan Wiser;Larry Burrows

  • Measuring β-diversity by remote sensing: A challenge for biodiversity monitoring

    Duccio Rocchini;Duccio Rocchini;Sandra Luque;Nathalie Pettorelli;Lucy Bastin

  • Mapping the floristic continuum : Ordination space position estimated from imaging spectroscopy

    Sebastian Schmidtlein;P. Zimmermann;Ralf Schüpferling;Carola Weiß

  • About the link between biodiversity and spectral variation

    Unknown

  • Imaging spectroscopy as a tool for mapping Ellenberg indicator values

    Sebastian Schmidtlein

  • A brute-force approach to vegetation classification

    Sebastian Schmidtlein;Lubomír Tichý;Hannes Feilhauer;Ulrike Faude

  • Invasion by the Alien Tree Prunus serotina Alters Ecosystem Functions in a Temperate Deciduous Forest

    Raf Aerts;Michael Ewald;Manuel Nicolas;Jérôme Piat

  • Calculating landscape diversity with information-theory based indices: A GRASS GIS solution

    Duccio Rocchini;Luca Delucchi;Giovanni Bacaro;Paolo Cavallini

  • The spectral variability hypothesis does not hold across landscapes

    Sebastian Schmidtlein;Fabian Ewald Fassnacht

  • Differentiating plant functional types using reflectance: which traits make the difference?

    Teja Kattenborn;Fabian Ewald Fassnacht;Sebastian Schmidtlein

  • The link between rapid enigmatic amphibian decline and the globally emerging chytrid fungus.

    Stefan Lötters;Jos Kielgast;Jon Bielby;Sebastian Schmidtlein

  • Assessing floristic composition with multispectral sensors—A comparison based on monotemporal and multiseasonal field spectra

    Hannes Feilhauer;Hannes Feilhauer;Frank Thonfeld;Ulrike Faude;Kate S. He

  • Combining Isomap ordination and imaging spectroscopy to map continuous floristic gradients in a heterogeneous landscape

    Hannes Feilhauer;Ulrike Faude;Sebastian Schmidtlein

Frequent Co-Authors

Duccio Rocchini
Duccio Rocchini University of Bologna
Jonathan Lenoir
Jonathan Lenoir University of Picardie Jules Verne
Raf Aerts
Raf Aerts KU Leuven
Ben Somers
Ben Somers KU Leuven
Angela Lausch
Angela Lausch Helmholtz Centre for Environmental Research
Martin Wegmann
Martin Wegmann University of Würzburg
Giles M. Foody
Giles M. Foody University of Nottingham
Harini Nagendra
Harini Nagendra Azim Premji University
Carlo Ricotta
Carlo Ricotta Sapienza University of Rome

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