World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
85
Citations
28272
World Ranking
742
National Ranking
320

Pierre Gentine 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 Pierre Gentine 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: 395 publications — 94th percentile

94% of scientists in this discipline score the same or lower.

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

Pierre Gentine 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 Pierre Gentine 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: 85 D-Index — 92nd percentile

92% of scientists in this discipline score the same or lower.

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

Overview

Pierre Gentine is affiliated with Columbia University in the United States. Their research expertise primarily spans the fields of Environmental Science and Earth and Planetary Sciences, with a focus on several subfields including Global and Planetary Change, Atmospheric Science, Environmental Engineering, Ecology, and Artificial Intelligence.

The scientist's main topics of work involve Climate variability and models, Plant Water Relations and Carbon Dynamics, Meteorological Phenomena and Simulations, Atmospheric and Environmental Gas Dynamics, Remote Sensing in Agriculture, Hydrology and Watershed Management Studies, and Soil Moisture and Remote Sensing.

Gentine has contributed to multiple scientific venues throughout their career. Frequent publication platforms include arXiv (Cornell University), Zenodo (CERN European Organization for Nuclear Research), Nature Communications, Journal of Advances in Modeling Earth Systems, and Scientific Data.

Some of their recent significant papers are:

  • "Soil moisture-atmosphere feedback dominates land carbon uptake variability" (2021), published in Nature
  • "Enforcing Analytic Constraints in Neural Networks Emulating Physical Systems" (2021), published in Physical Review Letters
  • "Heat stored in the Earth system: where does the energy go?" (2020), published in Earth system science data
  • "Atmospheric dryness reduces photosynthesis along a large range of soil water deficits" (2022), published in Nature Communications
  • "Future socio-ecosystem productivity threatened by compound drought-heatwave events" (2023), published in Nature Sustainability

Gentine often collaborates with other researchers. Frequent co-authors include Philippe Ciais, Veronika Eyring, Tom Beucler, Zhu Liu, and Biqing Zhu.

Best Publications

  • The Community Land Model version 5 : description of new features, benchmarking, and impact of forcing uncertainty

    David M. Lawrence;Rosie A. Fisher;Charles D. Koven;Keith W. Oleson

  • Land–atmospheric feedbacks during droughts and heatwaves: state of the science and current challenges

    Diego G. Miralles;Pierre Gentine;Sonia I. Seneviratne;Adriaan J. Teuling

  • Deep learning to represent subgrid processes in climate models.

    Stephan Rasp;Michael S. Pritchard;Pierre Gentine

  • Large influence of soil moisture on long-term terrestrial carbon uptake

    Julia K. Green;Sonia I. Seneviratne;Alexis M. Berg;Kirsten L. Findell

  • Land-atmosphere feedbacks exacerbate concurrent soil drought and atmospheric aridity.

    Sha Zhou;Sha Zhou;A. Park Williams;Alexis M. Berg;Benjamin I. Cook;Benjamin I. Cook

  • Could Machine Learning Break the Convection Parameterization Deadlock

    Pierre Gentine;Mike Pritchard;Stephan Rasp;Gael Reinaudi

  • Soil moisture–atmosphere feedback dominates land carbon uptake variability

    Vincent W. Humphrey;Alexis M. Berg;Philippe Ciais;Pierre Gentine

  • Land–Atmosphere Interactions: The LoCo Perspective

    Joseph A. Santanello;Paul A. Dirmeyer;Craig R. Ferguson;Kirsten L. Findell

  • A global spatially contiguous solar-induced fluorescence (CSIF) dataset using neural networks

    Yao Zhang;Joanna Joiner;Seyed Hamed Alemohammad;Sha Zhou

  • Large increase in global storm runoff extremes driven by climate and anthropogenic changes.

    Jiabo Yin;Jiabo Yin;Pierre Gentine;Sha Zhou;Sylvia C. Sullivan

  • Atmospheric dryness reduces photosynthesis along a large range of soil water deficits

    Unknown

  • Projected increases in intensity, frequency, and terrestrial carbon costs of compound drought and aridity events.

    Sha Zhou;Yao Zhang;A. Park Williams;Pierre Gentine

  • Future socio-ecosystem productivity threatened by compound drought–heatwave events

    Unknown

  • Implementing plant hydraulics in the Community Land Model, Version 5

    Daniel Kennedy;Sean Swenson;Keith W. Oleson;David M. Lawrence

  • Global variations in ecosystem-scale isohydricity.

    Alexandra G. Konings;Alexandra G. Konings;Pierre Gentine

  • Enforcing Analytic Constraints in Neural Networks Emulating Physical Systems.

    Tom Beucler;Tom Beucler;Michael Pritchard;Stephan Rasp;Jordan Ott

  • Analysis of evaporative fraction diurnal behaviour

    Pierre Gentine;Dara Entekhabi;Abdelghani Chehbouni;Gilles Boulet

  • The Impact of Anthropogenic Land Use and Land Cover Change on Regional Climate Extremes

    Kirsten L. Findell;Alexis Berg;Pierre Gentine;John P. Krasting

  • Differentiable modelling to unify machine learning and physical models for geosciences

    Unknown

  • Heat stored in the Earth system: where does the energy go?

    Karina von Schuckmann;Lijing Cheng;Matthew D. Palmer;James Hansen

  • Interdependence of climate, soil, and vegetation as constrained by the Budyko curve

    Pierre Gentine;Paolo D'Odorico;Benjamin R. Lintner;Gajan Sivandran

  • Probability of afternoon precipitation in eastern United States and Mexico enhanced by high evaporation

    Kirsten L. Findell;Pierre Gentine;Benjamin R. Lintner;Christopher Kerr

  • Sensitivity of grassland productivity to aridity controlled by stomatal and xylem regulation

    A. G. Konings;A. G. Konings;A. P. Williams;P. Gentine

  • Deep Learning to Represent Sub-grid Processes in Climate Models

    Stephan Rasp;Michael S. Pritchard;Pierre Gentine

Frequent Co-Authors

Benjamin R. Lintner
Benjamin R. Lintner Rutgers, The State University of New Jersey
Kirsten L. Findell
Kirsten L. Findell Geophysical Fluid Dynamics Laboratory
Yao Zhang
Yao Zhang Peking University
Sha Zhou
Sha Zhou Columbia University
Diego G. Miralles
Diego G. Miralles Ghent University
Filipe Aires
Filipe Aires Centre national de la recherche scientifique, CNRS
Benjamin I. Cook
Benjamin I. Cook Goddard Institute for Space Studies
Markus Reichstein
Markus Reichstein Max Planck Institute for Biogeochemistry

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