World's Best Scientists 2026 revealed!
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Environmental Sciences
USA
2023

D-Index & Metrics

Environmental Sciences

D-Index
152
Citations
95123
World Ranking
24
National Ranking
13

Eric F. Wood 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 Eric F. Wood 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: 741 publications — 99th percentile

99% of scientists in this discipline score the same or lower.

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

Eric F. Wood 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 Eric F. Wood 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: 152 D-Index — 100th percentile

100% 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 United States Leader Award
  • 2022 - Research.com Environmental Sciences in United States Leader Award
  • 2016 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2015 - Member of the National Academy of Engineering For development of land surface models and use of remote sensing for hydrologic modeling and prediction.
  • 2013 - Fellow of the Royal Society of Canada Academy of Science
  • 1993 - Fellow of American Geophysical Union (AGU)

Overview

Eric F. Wood was affiliated with Princeton University in the United States. Their research contributions spanned environmental science and earth and planetary sciences, with a strong focus on global and planetary change, atmospheric science, environmental engineering, water science and technology, and aerospace engineering.

Wood's work covered multiple main topics, including:

  • Soil moisture and remote sensing
  • Precipitation measurement and analysis
  • Hydrology and watershed management studies
  • Flood risk assessment and management
  • Climate variability and models
  • Meteorological phenomena and simulations
  • Plant water relations and carbon dynamics

The scientist published in various venues, frequent ones being:

  • Hydrology and Earth System Sciences
  • Scientific Data
  • Bulletin of the American Meteorological Society
  • Remote Sensing of Environment
  • Geophysical Research Letters

Some of Wood's recent published papers include:

  • Evaluation of 18 satellite- and model-based soil moisture products using in situ measurements from 826 sensors, 2021, Hydrology and Earth System Sciences
  • Doubling of annual forest carbon loss over the tropics during the early twenty-first century, 2022, Nature Sustainability
  • A Global Drought and Flood Catalogue from 1950 to 2016, 2020, Bulletin of the American Meteorological Society
  • Global Fully Distributed Parameter Regionalization Based on Observed Streamflow From 4,229 Headwater Catchments, 2020, Journal of Geophysical Research Atmospheres
  • Combining hyper-resolution land surface modeling with SMAP brightness temperatures to obtain 30-m soil moisture estimates, 2020, Remote Sensing of Environment

Frequent coauthors working with Wood included Ming Pan, Hylke E. Beck, Justin Sheffield, Noemi Vergopolan, and Peirong Lin.

The scientist received several awards, such as:

  • Fellow of the American Association for the Advancement of Science (AAAS), 2016
  • Member of the National Academy of Engineering, 2015, for development of land surface models and use of remote sensing for hydrologic modeling and prediction
  • Fellow of the Royal Society of Canada, 2013, Academy of Science
  • Fellow of American Geophysical Union (AGU), 1993

Best Publications

  • Present and future Köppen-Geiger climate classification maps at 1-km resolution

    Hylke E. Beck;Niklaus E. Zimmermann;Tim R. McVicar;Tim R. McVicar;Noemi Vergopolan

  • A simple hydrologically based model of land surface water and energy fluxes for general circulation models

    Xu Liang;Dennis P. Lettenmaier;Eric F. Wood;Stephen J. Burges

  • Recent decline in the global land evapotranspiration trend due to limited moisture supply

    Martin Jung;Markus Reichstein;Philippe Ciais;Sonia I. Seneviratne

  • Little change in global drought over the past 60 years

    Justin Sheffield;Eric F. Wood;Michael L. Roderick

  • Development of a 50-Year High-Resolution Global Dataset of Meteorological Forcings for Land Surface Modeling

    Justin Sheffield;Gopi Goteti;Eric F. Wood

  • Estimation of the generalized extreme-value distribution by the method of probability-weighted moments

    J. R. M. Hosking;J. R. Wallis;E. F. Wood

  • The multi-institution North American Land Data Assimilation System (NLDAS): Utilizing multiple GCIP products and partners in a continental distributed hydrological modeling system

    Kenneth E. Mitchell;Dag Lohmann;Paul R. Houser;Eric F. Wood

  • Continental-scale water and energy flux analysis and validation for the North American Land Data Assimilation System project phase 2 (NLDAS-2): 1. Intercomparison and application of model products

    Youlong Xia;Kenneth Mitchell;Michael Ek;Justin Sheffield

  • Projected changes in drought occurrence under future global warming from multi-model, multi-scenario, IPCC AR4 simulations

    Justin Sheffield;Eric F. Wood

  • MSWEP V2 Global 3-Hourly 0.1° Precipitation: Methodology and Quantitative Assessment

    Hylke E. Beck;Eric F. Wood;Ming Pan;Colby K. Fisher

  • Surface soil moisture parameterization of the VIC-2L model: Evaluation and modification

    Xu Liang;Eric F. Wood;Dennis P. Lettenmaier

  • Past and future changes in climate and hydrological indicators in the US Northeast

    Katharine Hayhoe;Cameron P Wake;Thomas G Huntington;Lifeng Luo

  • The North American multimodel ensemble: Phase-1 seasonal-to-interannual prediction; phase-2 toward developing intraseasonal prediction

    Ben P. Kirtman;Dughong Min;Johnna M. Infanti;James L. Kinter

  • Effects of spatial variability and scale with implications to hydrologic modeling

    Eric F. Wood;M. Sivapalan;Keith Beven;Larry Band

  • Bias correction of monthly precipitation and temperature fields from Intergovernmental Panel on Climate Change AR4 models using equidistant quantile matching

    Haibin Li;Justin Sheffield;Eric F. Wood

  • Twenty-three unsolved problems in hydrology (UPH)–a community perspective

    Günter Blöschl;Marc F.P. Bierkens;Antonio Chambel;Christophe Cudennec

  • Hydro-Climatological Trends in the Continental United States, 1948-88

    Dennis P. Lettenmaier;Eric F. Wood;James R. Wallis

  • Hyperresolution global land surface modeling: Meeting a grand challenge for monitoring Earth's terrestrial water

    Eric F. Wood;Joshua K. Roundy;Tara J. Troy;L. P. H. van Beek

  • The future of evapotranspiration: global requirements for ecosystem functioning, carbon and climate feedbacks, agricultural management, and water resources.

    Joshua B. Fisher;Forrest S. Melton;Elizabeth M. Middleton;Christopher Hain;Christopher Hain

  • Global-scale evaluation of 22 precipitation datasets using gauge observations and hydrological modeling

    Hylke E. Beck;Noemi Vergopolan;Ming Pan;Vincenzo Levizzani

  • Cabauw Experimental Results from the Project for Intercomparison of Land-Surface Parameterization Schemes

    T.H. Chen;A. Henderson-Sellers;P.C.D. Milly;A.J. Pitman

  • Publisher Correction: Present and future Köppen-Geiger climate classification maps at 1-km resolution.

    Hylke E. Beck;Niklaus E. Zimmermann;Tim R. McVicar;Tim R. McVicar;Noemi Vergopolan

Frequent Co-Authors

Justin Sheffield
Justin Sheffield University of Southampton
Ming Pan
Ming Pan Princeton University
Dennis P. Lettenmaier
Dennis P. Lettenmaier University of California, Los Angeles
Lifeng Luo
Lifeng Luo Michigan State University
Paul R. Houser
Paul R. Houser George Mason University
Matthew F. McCabe
Matthew F. McCabe King Abdullah University of Science and Technology
Niko Wanders
Niko Wanders Utrecht University
Kenneth E. Mitchell
Kenneth E. Mitchell National Oceanic and Atmospheric Administration
Matthias Drusch
Matthias Drusch European Space Agency
James S. Famiglietti
James S. Famiglietti University of Saskatchewan

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Best Scientists Citing Eric F. Wood