World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
49
Citations
11743
World Ranking
5158
National Ranking
136

Jan Verbesselt 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 Jan Verbesselt 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: 152 publications — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Jan Verbesselt 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 Jan Verbesselt 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: 49 D-Index — 47th percentile

47% of scientists in this discipline score the same or lower.

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

Overview

Jan Verbesselt is affiliated with Wageningen University & Research in the Netherlands. Their scientific contributions primarily span the field of Environmental Science, with a notable focus on Global and Planetary Change, Ecology, and Environmental Engineering.

Their extensive research spans several subfields, including:

  • Global and Planetary Change
  • Ecology
  • Environmental Engineering
  • Atmospheric Science
  • Media Technology

Verbesselt's work addresses various topics chiefly related to remote sensing and ecosystem analysis. Key research themes include:

  • Remote Sensing in Agriculture
  • Land Use and Ecosystem Services
  • Remote Sensing and LiDAR Applications
  • Conservation, Biodiversity, and Resource Management
  • Remote-Sensing Image Classification
  • Plant Water Relations and Carbon Dynamics
  • Ecosystem dynamics and resilience

The scientist has published numerous papers in frequently chosen venues, such as:

  • Remote Sensing
  • Remote Sensing of Environment
  • Zenodo (CERN European Organization for Nuclear Research)
  • Wageningen University and Researchcenter Publications (Wageningen University & Research)
  • Nature

Some notable recent publications include:

  • Spatial and temporal deep learning methods for deriving land-use following deforestation: A pan-tropical case study using Landsat time series (2021, Remote Sensing of Environment)
  • Global-scale characterization of turning points in arid and semi-arid ecosystem functioning (2020, Global Ecology and Biogeography)
  • The openEO API-Harmonising the Use of Earth Observation Cloud Services Using Virtual Data Cube Functionalities (2021, Remote Sensing)
  • Implementation of BFASTmonitor Algorithm on Google Earth Engine to Support Large-Area and Sub-Annual Change Monitoring Using Earth Observation Data (2020, Remote Sensing)
  • Time series analysis for global land cover change monitoring: A comparison across sensors (2022, Remote Sensing of Environment)

Frequent collaborators in their research include:

  • Martin Herold
  • Wanda De Keersmaecker
  • Nandin-Erdene Tsendbazar
  • Johannes Reiche
  • Paulo N. Bernardino

Verbesselt's research outputs contribute to a deeper understanding of ecosystem monitoring through advanced remote sensing techniques, combining time series analysis and cloud computing tools. The scope of their work extends from local agricultural studies to global-scale ecosystem function analysis.

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

  • Near real-time disturbance detection using satellite image time series

    Jan Verbesselt;Achim Zeileis;Martin Herold

  • Trend Change Detection in NDVI Time Series: Effects of Inter-Annual Variability and Methodology

    Matthias Forkel;Nuno Carvalhais;Jan Verbesselt;Miguel D. Mahecha

  • Trend changes in global greening and browning: contribution of short-term trends to longer-term change

    Rogier de Jong;Jan Verbesselt;Michael E. Schaepman;Sytze de Bruin

  • Evaluating temporal consistency of long-term global NDVI datasets for trend analysis

    Feng Tian;Feng Tian;Rasmus Fensholt;Jan Verbesselt;Kenneth Grogan

  • A comparison of time series similarity measures for classification and change detection of ecosystem dynamics

    Stef Lhermitte;Stef Lhermitte;Jan Verbesselt;Willem Verstraeten;Willem Verstraeten;Pol Coppin

  • Robust monitoring of small-scale forest disturbances in a tropical montane forest using Landsat time series

    Ben DeVries;Jan Verbesselt;Lammert Kooistra;Martin Herold

  • Shifts in Global Vegetation Activity Trends

    Rogier De Jong;Jan Verbesselt;Achim Zeileis;Michael E. Schaepman

  • Remotely sensed resilience of tropical forests

    Jan Verbesselt;Nikolaus Umlauf;Marina Hirota;Marina Hirota;Marina Hirota;Milena Holmgren

  • Improving near-real time deforestation monitoring in tropical dry forests by combining dense Sentinel-1 time series with Landsat and ALOS-2 PALSAR-2

    Johannes Reiche;Eliakim Hamunyela;Jan Verbesselt;Dirk Hoekman

  • Synergies of multiple remote sensing data sources for REDD+ monitoring

    Veronique De Sy;Martin Herold;Frédéric Achard;Gregory P Asner

  • Fusing Landsat and SAR time series to detect deforestation in the tropics

    Johannes Reiche;Jan Verbesselt;Dirk Hoekman;Martin Herold

  • Performance of vegetation indices from Landsat time series in deforestation monitoring

    Michael Schultz;Jan G.P.W. Clevers;Sarah Carter;Jan Verbesselt

  • Tracking disturbance-regrowth dynamics in tropical forests using structural change detection and Landsat time series

    Ben DeVries;Mathieu Decuyper;Mathieu Decuyper;Jan Verbesselt;Achim Zeileis

  • Combining satellite data for better tropical forest monitoring

    Johannes Reiche;Richard Lucas;Anthea L. Mitchell;Jan Verbesselt

  • Using spatial context to improve early detection of deforestation from Landsat time series

    Eliakim Hamunyela;Jan Verbesselt;Martin Herold

  • Monitoring forest cover loss using multiple data streams, a case study of a tropical dry forest in Bolivia

    Loïc Paul Dutrieux;Jan Verbesselt;Lammert Kooistra;Martin Herold

  • Climate seasonality limits leaf carbon assimilation and wood productivity in tropical forests

    Fabien H. Wagner;Bruno Hérault;Damien Bonal;Clément Stahl;Clément Stahl

  • Multi-resolution time series imagery for forest disturbance and regrowth monitoring in Queensland, Australia

    Michael Schmidt;Richard Lucas;Peter Bunting;Jan Verbesselt

Frequent Co-Authors

Martin Herold
Martin Herold Wageningen University & Research
Pol Coppin
Pol Coppin KU Leuven
Achim Zeileis
Achim Zeileis University of Innsbruck
Rasmus Fensholt
Rasmus Fensholt University of Copenhagen
Ben Somers
Ben Somers KU Leuven
Lammert Kooistra
Lammert Kooistra Wageningen University & Research
Edzer Pebesma
Edzer Pebesma University of Münster
Darius S. Culvenor
Darius S. Culvenor Commonwealth Scientific and Industrial Research Organisation
Michael E. Schaepman
Michael E. Schaepman University of Zurich

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