World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
51
Citations
17440
World Ranking
4631
National Ranking
65

Marijn van der Velde 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 Marijn van der Velde 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: 137 publications — 34th percentile

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

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

Marijn van der Velde 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 Marijn van der Velde 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

Marijn van der Velde is affiliated with the International Institute for Applied Systems Analysis in Austria. Their research primarily focuses on the interplay of agricultural systems, environmental sciences, and remote sensing technologies to understand and forecast crop and ecosystem dynamics.

Their scholarly output includes numerous publications covering topics such as remote sensing in agriculture, climate change impacts on agriculture, land use and ecosystem services, and applications of remote sensing and LiDAR technologies. Their work also spans subfields like ecology, global and planetary change, plant science, environmental engineering, and intersections within ecology, evolution, behavior, and systematics.

Frequent publication venues for Marijn van der Velde include:

  • Earth system science data
  • arXiv (Cornell University)
  • Environmental Research Letters
  • SSRN Electronic Journal
  • Field Crops Research

They have collaborated extensively with several scholars, notably:

  • Raphaël d'Andrimont
  • Laura Martinez-Sanchez
  • Momchil Yordanov
  • Astrid Verhegghen
  • Martin Claverie

Their published papers demonstrate a focus on practical agricultural monitoring and forecasting techniques using satellite data. Selected recent works include:

  • From parcel to continental scale - A first European crop type map based on Sentinel-1 and LUCAS Copernicus in-situ observations (2021, Remote Sensing of Environment)
  • Detecting flowering phenology in oil seed rape parcels with Sentinel-1 and -2 time series (2020, Remote Sensing of Environment)
  • Machine learning for regional crop yield forecasting in Europe (2021, Field Crops Research)
  • LUCAS Copernicus 2018: Earth-observation-relevant in situ data on land cover and use throughout the European Union (2021, Earth system science data)
  • Climate variability and simultaneous breadbasket yield shocks as observed in long-term yield records (2023, Agricultural and Forest Meteorology)

Their research applies machine learning approaches and remote sensing techniques to address challenges in agricultural yield forecasting and phenology detection. They engage with datasets such as Sentinel-1 and Sentinel-2 satellite observations alongside in-situ land use data, focusing on European agricultural regions.

Overall, Marijn van der Velde's work intersects multiple scientific disciplines to provide insights into agricultural systems resilience and environmental changes, with a prominent role in integrating Earth observation data for agricultural and ecological research purposes.

Best Publications

  • A quantitative review of the effects of biochar application to soils on crop productivity using meta-analysis

    S. Jeffery;F.G.A. Verheijen;M. van der Velde;A.C. Bastos

  • Climate extremes and the carbon cycle

    Markus Reichstein;Michael Bahn;Philippe Ciais;Dorothea Frank

  • Human-induced nitrogen–phosphorus imbalances alter natural and managed ecosystems across the globe

    Josep Peñuelas;Benjamin Poulter;Jordi Sardans;Philippe Ciais

  • Effects of climate extremes on the terrestrial carbon cycle: concepts, processes and potential future impacts

    Dorothe A. Frank;Markus Reichstein;Michael Bahn;Kirsten Thonicke

  • Biochar Application to Soils - A Critical Scientific Review of Effects on Soil Properties, Processes and Functions

    F. Verheijen;S. Jeffery;M. van der Velde;I. Diafas

  • Mapping global cropland and field size

    Steffen Fritz;Linda See;Ian McCallum;Liangzhi You

  • Climate change impact and adaptation for wheat protein

    Senthold Asseng;Pierre Martre;Andrea Maiorano;Reimund P Rötter

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

    Steffen Fritz;Ian McCallum;Christian Schill;Christoph Perger

  • Environmental footprint family to address local to planetary sustainability and deliver on the SDGs

    Davy Vanham;Adrian Leip;Alessandro Galli;Thomas Kastner

  • A comparison of global agricultural monitoring systems and current gaps

    Steffen Fritz;Linda See;Juan Carlos Laso Bayas;François Waldner;François Waldner

  • Assessing the impact of soil degradation on food production

    Prem S Bindraban;Prem S Bindraban;Marijn van der Velde;Liming Ye;Maurits van den Berg

  • Estimating irrigation water requirements in Europe

    Gunter Wriedt;Marijn Van der Velde;Alberto Aloe;Fayçal Bouraoui

  • Highlighting continued uncertainty in global land cover maps for the user community

    Steffen Fritz;Linda See;Ian McCallum;Christian Schill;Christian Schill

  • Uncertainty in soil data can outweigh climate impact signals in global crop yield simulations

    Christian Folberth;Christian Folberth;Rastislav Skalský;Elena Moltchanova;Elena Moltchanova;Juraj Balkovič;Juraj Balkovič

  • From parcel to continental scale – A first European crop type map based on Sentinel-1 and LUCAS Copernicus in-situ observations

    Raphaël d’Andrimont;Astrid Verhegghen;Guido Lemoine;Pieter Kempeneers

  • Causes and implications of the unforeseen 2016 extreme yield loss in the breadbasket of France.

    Tamara Ben-Ari;Julien Boé;Philippe Ciais;Remi Lecerf

  • Pan-European crop modelling with EPIC: Implementation, up-scaling and regional crop yield validation

    Juraj Balkovič;Juraj Balkovič;Marijn van der Velde;Erwin Schmid;Rastislav Skalský

  • Impacts of extreme weather on wheat and maize in France: evaluating regional crop simulations against observed data

    Marijn van der Velde;Francesco N. Tubiello;Anton Vrieling;Fayçal Bouraoui

  • Impact of meteorological drivers on regional inter-annual crop yield variability in France

    Andrej Ceglar;Andrea Toreti;Rémi Lecerf;Marijn Van der Velde

  • Phytoremediation: using plants as biopumps to improve degraded environments

    Brett Robinson;Steve Green;Tessa Mills;Brent Clothier

  • Comparing the quality of crowdsourced data contributed by expert and non-experts.

    Linda See;Alexis John Comber;Carl Salk;Carl Salk;Steffen Fritz

Frequent Co-Authors

Michael Obersteiner
Michael Obersteiner University of Oxford
Steffen Fritz
Steffen Fritz International Institute for Applied Systems Analysis
Linda See
Linda See International Institute for Applied Systems Analysis
Nikolay Khabarov
Nikolay Khabarov International Institute for Applied Systems Analysis
Ian McCallum
Ian McCallum International Institute for Applied Systems Analysis
Brent Clothier
Brent Clothier Plant & Food Research
Wei Xiong
Wei Xiong University of Pittsburgh
Christian Folberth
Christian Folberth International Institute for Applied Systems Analysis
Marnik Vanclooster
Marnik Vanclooster Université Catholique de Louvain
Steve Green
Steve Green Plant & Food Research

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