World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
56
Citations
18435
World Ranking
3565
National Ranking
136

Marie Weiss 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 Marie Weiss 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: 185 publications — 58th percentile

58% of scientists in this discipline score the same or lower.

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

Marie Weiss 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 Marie Weiss 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: 56 D-Index — 63rd percentile

63% of scientists in this discipline score the same or lower.

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

Overview

Marie Weiss is affiliated with INRAE, the Institut national de recherche pour l'agriculture, l'alimentation et l'environnement in France. Their research primarily spans Environmental Science and Agricultural and Biological Sciences, with significant contributions to several subfields including Ecology, Plant Science, Environmental Engineering, Global and Planetary Change, and Aerospace Engineering.

The scientist's work addresses a range of topics focusing on Remote Sensing in Agriculture, Leaf Properties and Growth Measurement, Remote Sensing and LiDAR Applications, Plant Water Relations and Carbon Dynamics, Land Use and Ecosystem Services, Urban Heat Island Mitigation, and Smart Agriculture and AI.

Marie Weiss has authored multiple papers published in prominent venues. Notable publications include:

  • Quality Assessment of PROBA-V LAI, fAPAR and fCOVER Collection 300 m Products of Copernicus Global Land Service, 2020, Remote Sensing
  • Performance stability of the MODIS and VIIRS LAI algorithms inferred from analysis of long time series of products, 2021, Remote Sensing of Environment
  • Crop specific algorithms trained over ground measurements provide the best performance for GAI and fAPAR estimates from Landsat-8 observations, 2021, Remote Sensing of Environment
  • Radiative transfer model inversion using high-resolution hyperspectral airborne imagery - Retrieving maize LAI to access biomass and grain yield, 2022, Field Crops Research
  • Importance of the description of light interception in crop growth models, 2021, PLANT PHYSIOLOGY

The frequent publication venues for Weiss include Remote Sensing of Environment, Remote Sensing, Plant Phenomics, SSRN Electronic Journal, and Field Crops Research.

Their frequent collaborators include Frédéric Baret, Wenjuan Li, Raúl López-Lozano, Shouyang Liu, and Alexis Comar.

Best Publications

  • Review of methods for in situ leaf area index determination Part I. Theories, sensors and hemispherical photography

    Inge Jonckheere;Stefan Fleck;Kris Nackaerts;Bart Muys

  • Remote sensing for agricultural applications: A meta-review

    M. Weiss;F. Jacob;G. Duveiller

  • Review of methods for in situ leaf area index (LAI) determination: Part II. Estimation of LAI, errors and sampling

    M Weiss;F Baret;GJ Smith;Inge Jonckheere

  • LAI, fAPAR and fCover CYCLOPES global products derived from VEGETATION: Part 1: Principles of the algorithm

    Frédéric Baret;Olivier Hagolle;Bernhard Geiger;Patrice Bicheron

  • Retrieval of canopy biophysical variables from bidirectional reflectance Using prior information to solve the ill-posed inverse problem

    B Combal;F Baret;M Weiss;A Trubuil

  • GEOV1: LAI and FAPAR essential climate variables and FCOVER global time series capitalizing over existing products. Part1: Principles of development and production

    Frédéric Baret;M Weiss;R Lacaze;F Camacho

  • Validation and intercomparison of global Leaf Area Index products derived from remote sensing data

    S. Garrigues;R. Lacaze;F. Baret;J. T. Morisette

  • Validation of global moderate-resolution LAI products: a framework proposed within the CEOS land product validation subgroup

    J.T. Morisette;F. Baret;J.L. Privette;R.B. Myneni

  • Investigation of a model inversion technique to estimate canopy biophysical variables from spectral and directional reflectance data

    Marie Weiss;Frédéric Baret;Ranga B. Myneni;Agnès Pragnère

  • Neural network estimation of LAI, fAPAR, fCover and LAI×Cab, from top of canopy MERIS reflectance data : Principles and validation

    C. Bacour;C. Bacour;F. Baret;D. Béal;M. Weiss

  • MODIS leaf area index products: from validation to algorithm improvement

    Wenze Yang;Bin Tan;Dong Huang;M. Rautiainen

  • Review of indirect optical measurements of leaf area index: Recent advances, challenges, and perspectives

    Guangjian Yan;Ronghai Hu;Ronghai Hu;Jinghui Luo;Marie Weiss

  • GEOV1: LAI, FAPAR essential climate variables and FCOVER global time series capitalizing over existing products. Part 2: Validation and intercomparison with reference products

    Fernando Camacho;Jesús Cernicharo;Roselyne Lacaze;Frédéric Baret

  • LAI and fAPAR CYCLOPES global products derived from VEGETATION. Part 2: validation and comparison with MODIS collection 4 products

    Marie Weiss;Frédéric Baret;Sébastien Garrigues;Roselyne Lacaze

  • Quantifying spatial heterogeneity at the landscape scale using variogram models

    S. Garrigues;D. Allard;F. Baret;M. Weiss

  • Estimation of leaf area and clumping indexes of crops with hemispherical photographs

    Valérie Demarez;Sylvie Duthoit;Frédéric Baret;Marie Weiss

  • Evaluation of the representativeness of networks of sites for the global validation and intercomparison of land biophysical products: proposition of the CEOS-BELMANIP

    F. Baret;J.T. Morissette;R.A. Fernandes;J.L. Champeaux

  • Effects of Low Nitrogen Supply on Tomato (Solanum lycopersicum) Fruit Yield and Quality with Special Emphasis on Sugars, Acids, Ascorbate, Carotenoids, and Phenolic Compounds

    Camille Bénard;Hélène Gautier;Frédéric Bourgaud;Dominique Grasselly

  • Evaluation of Canopy Biophysical Variable Retrieval Performances from the Accumulation of Large Swath Satellite Data

    M. Weiss;F. Baret

  • A comparison of methods for smoothing and gap filling time series of remote sensing observations - application to MODIS LAI products

    Sivasathivel Kandasamy;Frédéric Baret;Aleixandre Verger;Aleixandre Verger;Philippe Neveux

  • Influence of landscape spatial heterogeneity on the non-linear estimation of leaf area index from moderate spatial resolution remote sensing data

    S. Garrigues;D. Allard;F. Baret;M. Weiss

Frequent Co-Authors

Frédéric Baret
Frédéric Baret INRAE : Institut national de recherche pour l'agriculture, l'alimentation et l'environnement
Albert Olioso
Albert Olioso INRAE : Institut national de recherche pour l'agriculture, l'alimentation et l'environnement
Aleixandre Verger
Aleixandre Verger Spanish National Research Council
Olivier Hagolle
Olivier Hagolle Centre National D'Etudes Spatiales
Ranga B. Myneni
Ranga B. Myneni Boston University
Jean-Christophe Calvet
Jean-Christophe Calvet Centre national de la recherche scientifique, CNRS
Eric Vermote
Eric Vermote Goddard Space Flight Center
Gilles Boulet
Gilles Boulet Institut de Recherche pour le Développement
Pierre Defourny
Pierre Defourny Université Catholique de Louvain
Yuri Knyazikhin
Yuri Knyazikhin Boston University

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