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Environmental Sciences
France
2023

D-Index & Metrics

Environmental Sciences

D-Index
96
Citations
44567
World Ranking
450
National Ranking
13

Frédéric Baret 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 Frédéric Baret 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: 352 publications — 91st percentile

91% of scientists in this discipline score the same or lower.

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

Frédéric Baret 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 Frédéric Baret 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: 96 D-Index — 95th percentile

95% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2023 - Research.com Environmental Sciences in France Leader Award
  • 2022 - Research.com Environmental Sciences in France Leader Award

Overview

Frédéric Baret is affiliated with INRAE: Institut national de recherche pour l'agriculture, l'alimentation et l'environnement in France. Their research primarily engages with environmental science and agricultural and biological sciences, with a focus on subfields including plant science, ecology, environmental engineering, global and planetary change, and analytical chemistry.

Their work extensively covers topics related to remote sensing in agriculture, smart agriculture and artificial intelligence, remote sensing and LiDAR applications, leaf properties and growth measurement, land use and ecosystem services, plant water relations and carbon dynamics, and spectroscopy and chemometric analyses.

Frequent coauthors of Frédéric Baret include:

  • Marie Weiss
  • Shouyang Liu
  • Benoît de Solan
  • Simon Madec
  • Wei Guo

The scientist has published in several key venues, notably:

  • Plant Phenomics
  • Remote Sensing of Environment
  • arXiv (Cornell University)
  • ISPRS Journal of Photogrammetry and Remote Sensing
  • SSRN Electronic Journal

Some recent papers authored or co-authored by Frédéric Baret include:

  • "Global Wheat Head Detection (GWHD) Dataset: A Large and Diverse Dataset of High-Resolution RGB-Labelled Images to Develop and Benchmark Wheat Head Detection Methods" (2020, Plant Phenomics)
  • "Quality Assessment of PROBA-V LAI, fAPAR and fCOVER Collection 300 m Products of Copernicus Global Land Service" (2020, Remote Sensing)
  • "Lidar sheds new light on plant phenomics for plant breeding and management: Recent advances and future prospects" (2020, ISPRS Journal of Photogrammetry and Remote Sensing)
  • "Global Wheat Head Detection 2021: An Improved Dataset for Benchmarking Wheat Head Detection Methods" (2021, Plant Phenomics)
  • "Estimates of maize plant density from UAV RGB images using Faster-RCNN detection model: impact of the spatial resolution" (2021, arXiv (Cornell University))

Best Publications

  • Optimization of soil-adjusted vegetation indices

    Geneviève Rondeaux;Michael Steven;Frédéric Baret

  • PROSPECT: A model of leaf optical properties spectra

    S. Jacquemoud;F. Baret

  • Potentials and limits of vegetation indices for LAI and APAR assessment

    Frédéric Baret;G. Guyot

  • 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

  • PROSPECT+SAIL models: A review of use for vegetation characterization

    Stéphane Jacquemoud;Wout Verhoef;Frédéric Baret;Cédric Bacour

  • 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

  • An Overview of Global Leaf Area Index (LAI): Methods, Products, Validation, and Applications

    Hongliang Fang;Frédéric Baret;Stephen Plummer;Gabriela Schaepman-Strub

  • 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

  • Semi-empirical indices to assess carotenoids/chlorophyll alpha ratio from leaf spectral reflectance

    J. Penuelas;F. Baret;I. Filella

  • TSAVI: A Vegetation Index Which Minimizes Soil Brightness Effects On LAI And APAR Estimation

    F. Baret;G. Guyot;D.J. Major

  • 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

  • Relating soil surface moisture to reflectance

    Liu Weidong;Liu Weidong;F. Baret;Gu Xingfa;Tong Qingxi

  • Extraction of vegetation biophysical parameters by inversion of the PROSPECT + SAIL models on sugar beet canopy reflectance data. Application to TM and AVIRIS sensors

    S. Jacquemoud;F. Baret;B. Andrieu;F.M. Danson

  • 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

  • Hyperspectral remote sensing of foliar nitrogen content.

    Yuri Knyazikhin;Mitchell A. Schull;Pauline Stenberg;Matti Mõttus

  • Leaf optical properties with explicit description of its biochemical composition: Direct and inverse problems

    Th. Fourty;F. Baret;S. Jacquemoud;G. Schmuck

  • Assessment of unmanned aerial vehicles imagery for quantitative monitoring of wheat crop in small plots

    Camille C. D. Lelong;Philippe Burger;Guillaume Jubelin;Bruno Roux

Frequent Co-Authors

Marie Weiss
Marie Weiss INRAE : Institut national de recherche pour l'agriculture, l'alimentation et l'environnement
Aleixandre Verger
Aleixandre Verger Spanish National Research Council
Stéphane Jacquemoud
Stéphane Jacquemoud Institut de Physique du Globe de Paris
Albert Olioso
Albert Olioso INRAE : Institut national de recherche pour l'agriculture, l'alimentation et l'environnement
Ranga B. Myneni
Ranga B. Myneni Boston University
Pierre Defourny
Pierre Defourny Université Catholique de Louvain
Bruno Andrieu
Bruno Andrieu INRAE : Institut national de recherche pour l'agriculture, l'alimentation et l'environnement
Michael E. Schaepman
Michael E. Schaepman University of Zurich
Jean-Christophe Calvet
Jean-Christophe Calvet Centre national de la recherche scientifique, CNRS
Olivier Hagolle
Olivier Hagolle Centre National D'Etudes Spatiales

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