World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
7464
World Ranking
10105
National Ranking
508

Barbara Koch publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Barbara Koch sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 100 publications — 8th percentile

8% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Barbara Koch D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Barbara Koch sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 38 D-Index — 30th percentile

30% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Barbara Koch is affiliated with the University of Freiburg in Germany and specializes in Environmental Science, with a particular focus on Environmental Engineering, Ecology, Global and Planetary Change, Sociology and Political Science, and Electrical and Electronic Engineering.

Their research extensively covers several key topics including:

  • Remote Sensing and LiDAR Applications
  • Remote Sensing in Agriculture
  • 3D Surveying and Cultural Heritage
  • Species Distribution and Climate Change
  • Forest Ecology and Biodiversity Studies
  • Land Use and Ecosystem Services
  • Childhood Cancer Survivors' Quality of Life

Barbara Koch has published numerous articles in scientific journals, contributing to a range of fields related to remote sensing and environmental studies. Frequent venues for these publications include:

  • Remote Sensing
  • SSRN Electronic Journal
  • ISPRS Journal of Photogrammetry and Remote Sensing
  • International Journal of Global Warming
  • Energies

The scientist's recent papers are as follows:

  • 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
  • Evaluating the effectiveness of retention forestry to enhance biodiversity in production forests of Central Europe using an interdisciplinary, multi-scale approach, 2020, Ecology and Evolution
  • Mapping tree species diversity in temperate montane forests using Sentinel-1 and Sentinel-2 imagery and topography data, 2023, Remote Sensing of Environment
  • Individual Tree Crown Segmentation of a Larch Plantation Using Airborne Laser Scanning Data Based on Region Growing and Canopy Morphology Features, 2020, Remote Sensing
  • Comprehensive assessments and related interventions to enhance the long-term outcomes of child, adolescent and young adult cancer survivors - presentation of the CARE for CAYA-Program study protocol and associated literature review, 2020, BMC Cancer

Barbara Koch has frequently collaborated with several co-authors, including:

  • Julian Frey
  • Christopher Voglstätter
  • Tom Smolinka
  • Pawan Datta
  • Friedrich Mendler

Best Publications

  • Detection of individual tree crowns in airborne lidar data

    Barbara Koch;Ursula Heyder;Holger Weinacker

  • Agricultural land abandonment and natural forest re-growth in the Swiss mountains: A spatially explicit economic analysis

    Mario Gellrich;Priska Baur;Barbara Koch;Niklaus E. Zimmermann

  • Importance of sample size, data type and prediction method for remote sensing-based estimations of aboveground forest biomass

    F.E. Fassnacht;F.E. Fassnacht;F. Hartig;H. Latifi;C. Berger

  • Comparative testing of single-tree detection algorithms under different types of forest

    Jari Vauhkonen;Liviu Ene;Sandeep Gupta;Johannes Heinzel

  • Status and future of laser scanning, synthetic aperture radar and hyperspectral remote sensing data for forest biomass assessment

    Barbara Koch

  • A framework for mapping tree species combining Hyperspectral and LiDAR data: role of selected classifiers and sensor across three spatial scales

    Aniruddha Ghosh;Fabian Ewald Fassnacht;Pawan Kumar Joshi;Barbara Koch

  • 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

  • Non-parametric prediction and mapping of standing timber volume and biomass in a temperate forest: application of multiple optical/LiDAR-derived predictors

    Hooman Latifi;Arne Nothdurft;Barbara Koch

  • Exploring full-waveform LiDAR parameters for tree species classification

    Johannes Heinzel;Barbara Koch

  • A Lidar Point Cloud Based Procedure for Vertical Canopy Structure Analysis And 3D Single Tree Modelling in Forest

    Yunsheng Wang;Holger Weinacker;Barbara Koch

  • Comparison of Feature Reduction Algorithms for Classifying Tree Species With Hyperspectral Data on Three Central European Test Sites

    Fabian Ewald Fassnacht;Carsten Neumann;Michael Förster;Henning Buddenbaum

  • UAV-BASED PHOTOGRAMMETRIC POINT CLOUDS – TREE STEM MAPPING IN OPEN STANDS IN COMPARISON TO TERRESTRIAL LASER SCANNER POINT CLOUDS

    A. Fritz;T. Kattenborn;B. Koch

  • Investigating multiple data sources for tree species classification in temperate forest and use for single tree delineation

    Johannes Heinzel;Barbara Koch

  • Forest biodiversity and its assessment by remote sensing

    John L. Innes;Barbara Koch

  • Assessing the potential of hyperspectral imagery to map bark beetle-induced tree mortality

    Fabian Ewald Fassnacht;Hooman Latifi;Aniruddha Ghosh;Pawan Kumar Joshi

  • Forest structure modeling with combined airborne hyperspectral and LiDAR data

    Hooman Latifi;Fabian Ewald Fassnacht;Barbara Koch

  • UAV Photogrammetry of Forests as a Vulnerable Process. A Sensitivity Analysis for a Structure from Motion RGB-Image Pipeline

    Julian Frey;Kyle Kovach;Simon Stemmler;Barbara Koch

  • Comparative Analysis of Clustering-Based Approaches for 3-D Single Tree Detection Using Airborne Fullwave Lidar Data

    Sandeep Gupta;Holger Weinacker;Barbara Koch

  • HIGH-SCAN: The first European-wide attempt to derive single-tree information from laserscanner data

    Juha Hyyppä;Mathias Schardt;Henrik Haggrén;Barbara Koch

  • Stratified aboveground forest biomass estimation by remote sensing data.

    Hooman Latifi;Fabian Ewald Fassnacht;Fabian Ewald Fassnacht;Florian Hartig;Christian Berger

  • Automatic Single Tree Detection in Plantations using UAV-based Photogrammetric Point clouds

    Teja Kattenborn;M. Sperlich;K. Bataua;Barbara Koch

Frequent Co-Authors

Michael Obersteiner
Michael Obersteiner University of Oxford
Veronika Braunisch
Veronika Braunisch University of Bern
Pawan Kumar Joshi
Pawan Kumar Joshi Jawaharlal Nehru University
Thomas Blaschke
Thomas Blaschke University of Salzburg
Steffen Fritz
Steffen Fritz International Institute for Applied Systems Analysis
Svein Solberg
Svein Solberg Norwegian Institute of Bioeconomy Research
Erik Næsset
Erik Næsset Norwegian University of Life Sciences
Christiane Schmullius
Christiane Schmullius Friedrich Schiller University Jena
Matti Maltamo
Matti Maltamo University of Eastern Finland
Terje Gobakken
Terje Gobakken Norwegian University of Life Sciences

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