World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
43
Citations
8119
World Ranking
7033
National Ranking
2512

David Yates 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 David Yates 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: 154 publications — 44th percentile

44% of scientists in this discipline score the same or lower.

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

David Yates 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 David Yates 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: 43 D-Index — 29th percentile

29% of scientists in this discipline score the same or lower.

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

Overview

David Yates is affiliated with the National Center for Atmospheric Research in the United States. Their work focuses primarily on Environmental Science with significant contributions in related subfields including Water Science and Technology, Global and Planetary Change, Ocean Engineering, Atmospheric Science, and Electrical and Electronic Engineering.

The researcher's publications reflect a strong emphasis on hydrology and watershed management studies, flood risk assessment and management, and water resources management and optimization. Other key topics covered in their research include climate variability and models, water-energy-food nexus studies, meteorological phenomena and simulations, as well as integrated energy systems optimization.

Frequent publication venues for this author include:

  • Earth's Future
  • JAWRA Journal of the American Water Resources Association
  • Scientific Data
  • Journal of Hydrometeorology
  • Nature Communications

Some of the recent papers by David Yates include:

  • "GLOBathy, the global lakes bathymetry dataset" (2022), published in Scientific Data
  • "NOAA's National Water Model: Advancing operational hydrology through continental-scale modeling" (2024), published in JAWRA Journal of the American Water Resources Association
  • "Defining Robustness, Vulnerabilities, and Consequential Scenarios for Diverse Stakeholder Interests in Institutionally Complex River Basins" (2020), published in Earth's Future
  • "Evaluation of NOAA National Water Model Parameter Calibration in Semi-Arid Environments Prone to Channel Infiltration" (2021), published in Journal of Hydrometeorology
  • "Development and evaluation of the channel routing model and parameters within the National Water Model" (2023), published in JAWRA Journal of the American Water Resources Association

Frequent co-authors collaborating with David Yates include Laura Read, K. M. Sampson, David Gochis, Julia Szinai, and Andrew D. Jones.

Best Publications

  • WEAP21 - A Demand-, Priority-, and Preference-Driven Water Planning Model Part 1: Model Characteristics

    David Yates;Jack Sieber;David Purkey;Annette Huber-Lee

  • Continental-scale convection-permitting modeling of the current and future climate of North America

    Changhai Liu;Kyoko Ikeda;Roy Rasmussen;Mike Barlage

  • High resolution coupled climate-runoff simulations of seasonal snowfall over Colorado: A process study of current and warmer climate

    Roy Rasmussen;Changhai Liu;Kyoko Ikeda;David Gochis

  • A technique for generating regional climate scenarios using a nearest‐neighbor algorithm

    David Yates;David Yates;Subhrendu Gangopadhyay;Balaji Rajagopalan;Kenneth Strzepek

  • Water resources for agriculture in a changing climate: international case studies

    Cynthia Rosenzweig;Kenneth M. Strzepek;David C. Major;Ana Iglesias

  • Climate Change Impacts on the Water Balance of the Colorado Headwaters: High-Resolution Regional Climate Model Simulations

    Roy Rasmussen;Kyoko Ikeda;Changhai Liu;David Gochis

  • WEAP21 -a demand-, priority-, and preference-driven water planning model Part 2 : Aiding freshwater ecosystem service evaluation

    David Yates;David Purkey;Jack Sieber;Annette Huber-Lee

  • Fully coupled atmosphere-hydrology simulations for the central Mediterranean: Impact of enhanced hydrological parameterization for short and long time scales

    Alfonso Senatore;Giuseppe Mendicino;David J. Gochis;Wei Yu

  • Simulation of seasonal snowfall over Colorado

    Kyoko Ikeda;Roy Rasmussen;Changhai Liu;David Gochis

  • MODELING THE NILE BASIN UNDER CLIMATIC CHANGE

    David N. Yates;Kenneth M. Strzepek

  • WatBal: an integrated water balance model for climate impact assessment of river basin runoff

    David N. Yates

  • Modeling hydrologic and water quality extremes in a changing climate: A statistical approach based on extreme value theory

    Erin Towler;Erin Towler;Balaji Rajagopalan;Balaji Rajagopalan;Eric Gilleland;R. Scott Summers

  • Robust analysis of future climate change impacts on water for agriculture and other sectors: a case study in the Sacramento Valley

    D. R. Purkey;B. Joyce;S. Vicuna;M. W. Hanemann

  • Developing and applying uncertain global climate change projections for regional water management planning

    David G. Groves;David Yates;Claudia Tebaldi

  • AN ASSESSMENT OF INTEGRATED CLIMATE CHANGE IMPACTS ON THE AGRICULTURAL ECONOMY OF EGYPT

    David N. Yates;Kenneth M. Strzepek

  • GLOBathy, the global lakes bathymetry dataset

    Unknown

  • Modeling the hydrology of climate change in California's Sierra Nevada for subwatershed scale adaptation.

    Charles A. Young;Marisa I. Escobar‐Arias;Martha Fernandes;Brian Joyce

  • Non-Aqueous-Phase Fluids in Heterogeneous Aquifers—Experimental Study

    Tissa H. Illangasekare;Edward J. Armbruster;David N. Yates

  • Climate warming, water storage, and Chinook salmon in California’s Sacramento Valley

    David Yates;Hector Galbraith;D. Purkey;A. Huber-Lee

  • Water Management Adaptations to Prevent Loss of Spring-Run Chinook Salmon in California under Climate Change

    Lisa C. Thompson;Marisa I. Escobar;Christopher M. Mosser;David R. Purkey

  • Comparing the correlative Holdridge model to mechanistic biogeographical models for assessing vegetation distribution response to climatic change.

    David N. Yates;Timothy G. F. Kittel;Regina Figge Cannon

Frequent Co-Authors

Fei Chen
Fei Chen National Center for Atmospheric Research
David Gochis
David Gochis National Center for Atmospheric Research
Balaji Rajagopalan
Balaji Rajagopalan University of Colorado Boulder
Kyoko Ikeda
Kyoko Ikeda National Center for Atmospheric Research
Robert G. Grossman
Robert G. Grossman Houston Methodist
Timothy G. F. Kittel
Timothy G. F. Kittel University of Colorado Boulder
Christopher Daly
Christopher Daly Oregon State University
Roy Rasmussen
Roy Rasmussen National Center for Atmospheric Research
Nan Rosenbloom
Nan Rosenbloom National Center for Atmospheric Research

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