World's Best Scientists 2026 revealed!
Gabrielle De Lannoy

Gabrielle De Lannoy

D-Index & Metrics

Environmental Sciences

D-Index
57
Citations
12127
World Ranking
3440
National Ranking
51

Gabrielle De Lannoy 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 Gabrielle De Lannoy 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: 282 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: 26 scientists 501–510 publications: 17 scientists 511–520 publications: 19 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 681–689 publications: 4 scientists 690+ publications: 100 scientists
41 publications 690+

This scientist: 210 publications — 67th percentile

67% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 690 publications or more.

Gabrielle De Lannoy 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 Gabrielle De Lannoy 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: 198 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: 20 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: 9 scientists 126+ D-Index: 92 scientists
30 D-Index 126+

This scientist: 57 D-Index — 65th percentile

65% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 126 D-Index or more.

Overview

Gabrielle De Lannoy is affiliated with KU Leuven in Belgium and focuses research primarily within Environmental Science and Earth and Planetary Sciences. The scientist's work spans several subfields, including Atmospheric Science, Environmental Engineering, Global and Planetary Change, Ecology, and Water Science and Technology.

Key research topics addressed by Gabrielle De Lannoy include:

  • Soil Moisture and Remote Sensing
  • Cryospheric studies and observations
  • Precipitation Measurement and Analysis
  • Climate change and permafrost
  • Peatlands and Wetlands Ecology
  • Hydrology and Watershed Management Studies
  • Landslides and related hazards

The scientist's recent published papers illustrate a focus on remote sensing applications and environmental monitoring. Notable publications include:

  • "Validation practices for satellite soil moisture retrievals: What are (the) errors?", 2020, Remote Sensing of Environment
  • "SMOS-IC data record of soil moisture and L-VOD: Historical development, applications and perspectives", 2020, Remote Sensing of Environment
  • "A Review of Irrigation Information Retrievals from Space and Their Utility for Users", 2021, Remote Sensing
  • "Sentinel-1 snow depth retrieval at sub-kilometer resolution over the European Alps", 2022, The Cryosphere
  • "A first assessment of satellite and reanalysis estimates of surface and root-zone soil moisture over the permafrost region of Qinghai-Tibet Plateau", 2021, Remote Sensing of Environment

Frequent co-authors who have collaborated extensively with Gabrielle De Lannoy include Michel Bechtold, Hans Lievens, Rolf H. Reichle, Manuela Girotto, and Jean-Pierre Wigneron. Collaborations reflect a research network intersecting with remote sensing and environmental observation communities.

Publication venues appearing regularly in their work feature:

  • Zenodo (CERN European Organization for Nuclear Research)
  • Remote Sensing of Environment
  • Water Resources Research
  • Hydrology and Earth System Sciences
  • Remote Sensing

Gabrielle De Lannoy's contributions span multiple aspects of environmental monitoring, with particular attention to soil moisture retrieval, cryospheric measurement, and hydrological modeling, employing satellite and reanalysis data sources.

Best Publications

  • Assessment and Enhancement of MERRA Land Surface Hydrology Estimates

    Rolf H. Reichle;Randal D. Koster;Gabriëlle J. M. De Lannoy;Barton A. Forman

  • Global GRACE data assimilation for groundwater and drought monitoring: Advances and challenges

    Bailing Li;Bailing Li;Matthew Rodell;Sujay Kumar;Hiroko Kato Beaudoing;Hiroko Kato Beaudoing

  • Modelling the Passive Microwave Signature from Land Surfaces: A Review of Recent Results and Application to the L-Band SMOS SMAP Soil Moisture Retrieval Algorithms

    J.-P. Wigneron;T.J. Jackson;P. O'Neill;G. De Lannoy

  • Snow depth variability in the Northern Hemisphere mountains observed from space.

    Hans Lievens;Hans Lievens;Matthias Demuzere;Matthias Demuzere;Hans-Peter Marshall;Hans-Peter Marshall;Rolf H. Reichle

  • Assessment of MERRA-2 Land Surface Hydrology Estimates

    Rolf H. Reichle;Clara S. Draper;Clara S. Draper;Q. Liu;Manuela Girotto;Manuela Girotto

  • Assessment of the SMAP Level-4 surface and root-zone soil moisture product using in situ measurements

    Rolf H. Reichle;Gabrielle J. M. De Lannoy;Qing Liu;Joseph V. Ardizzone

  • Validation practices for satellite soil moisture retrievals: what are (the) errors?

    A. Gruber;G. de Lannoy;C. Albergel;A. Al-Yaari

  • Multiscale assimilation of Advanced Microwave Scanning Radiometer–EOS snow water equivalent and Moderate Resolution Imaging Spectroradiometer snow cover fraction observations in northern Colorado

    Gabriëlle J. M. De Lannoy;Gabriëlle J. M. De Lannoy;Rolf H. Reichle;Kristi R. Arsenault;Paul R. Houser

  • Assimilation of passive and active microwave soil moisture retrievals

    C. S. Draper;C. S. Draper;R. H. Reichle;G. J. M. De Lannoy;G. J. M. De Lannoy;G. J. M. De Lannoy;Q. Liu;Q. Liu

  • SMOS-IC data record of soil moisture and L-VOD: Historical development, applications and perspectives

    Jean-Pierre Wigneron;Xiaojun Li;Frédéric Frappart;Lei Fan

  • SMOS-IC: An Alternative SMOS Soil Moisture and Vegetation Optical Depth Product

    Roberto Fernandez-Moran;Amen Al-Yaari;Arnaud Mialon;Ali Mahmoodi

  • SMOS soil moisture assimilation for improved hydrologic simulation in the Murray Darling Basin, Australia

    H. Lievens;S.K. Tomer;A. Al Bitar;G.J.M. De Lannoy

  • Version 4 of the SMAP Level-4 Soil Moisture algorithm and data product

    Rolf H. Reichle;Qing Liu;Randal D. Koster;Wade T. Crow

  • Assessment and inter-comparison of recently developed/reprocessed microwave satellite soil moisture products using ISMN ground-based measurements

    A. Al-Yaari;J.-P. Wigneron;W. Dorigo;A. Colliander

  • SMAP Handbook–Soil Moisture Active Passive: Mapping Soil Moisture and Freeze/Thaw from Space

    Dara Entekhabi;Simon Yueh;Peggy E O’Neill;Kent H Kellogg

  • Correcting for forecast bias in soil moisture assimilation with the ensemble Kalman filter

    Gabriëlle J. M. De Lannoy;Rolf H. Reichle;Rolf H. Reichle;Paul R. Houser;Valentijn R. N. Pauwels

  • Global-Scale Comparison of Passive (SMOS) and Active (ASCAT) Satellite Based Microwave Soil Moisture Retrievals with Soil Moisture Simulations (MERRA-Land)

    A. Al-Yaari;A. Al-Yaari;A. Al-Yaari;J.-P. Wigneron;A. Ducharne;Y.H. Kerr

  • Global Assimilation of Multiangle and Multipolarization SMOS Brightness Temperature Observations into the GEOS-5 Catchment Land Surface Model for Soil Moisture Estimation

    Gabriëlle J. M. De Lannoy;Rolf H. Reichle

  • The Contributions of Precipitation and Soil Moisture Observations to the Skill of Soil Moisture Estimates in a Land Data Assimilation System

    Qing Liu;Qing Liu;Rolf H. Reichle;Rajat Bindlish;Michael H. Cosh

  • Assimilation of Gridded GRACE Terrestrial Water Storage Estimates in the North American Land Data Assimilation System

    Sujay V. Kumar;Benjamin F. Zaitchik;Christa D. Peters-Lidard;Matthew Rodell

  • Benefits and pitfalls of GRACE data assimilation: A case study of terrestrial water storage depletion in India

    Manuela Girotto;Manuela Girotto;Gabrielle J. M. De Lannoy;Rolf H. Reichle;Matthew Rodell

  • SMOS-IC: An alternative SMOS soil moisture and vegetation optical depth product

    Roberto Fernandez-Moran;Roberto Fernandez-Moran;Amen Al-Yaari;Arnaud Mialon;Ali Mahmoodi

Frequent Co-Authors

Rolf H. Reichle
Rolf H. Reichle Goddard Space Flight Center
Niko E. C. Verhoest
Niko E. C. Verhoest Ghent University
Valentijn R. N. Pauwels
Valentijn R. N. Pauwels Monash University
Paul R. Houser
Paul R. Houser George Mason University
Jeffrey P. Walker
Jeffrey P. Walker Monash University
Randal D. Koster
Randal D. Koster Goddard Space Flight Center
Ahmad Al Bitar
Ahmad Al Bitar Federal University of Toulouse Midi-Pyrénées
Wade T. Crow
Wade T. Crow Agricultural Research Service
Eric F. Wood
Eric F. Wood Princeton University
Ming Pan
Ming Pan Princeton University

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