World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
40
Citations
13681
World Ranking
7895
National Ranking
355

Diana Verseghy 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 Diana Verseghy 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: 82 publications — 6th percentile

6% of scientists in this discipline score the same or lower.

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

Diana Verseghy 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 Diana Verseghy 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: 40 D-Index — 19th percentile

19% of scientists in this discipline score the same or lower.

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

Overview

Diana Verseghy is affiliated with Environment and Climate Change Canada and contributes to research in the fields of Environmental Science and Earth and Planetary Sciences. Their academic work focuses primarily on Global and Planetary Change as well as Atmospheric Science.

The scientist's research covers topics related to Atmospheric and Environmental Gas Dynamics, Climate variability and models, and Meteorological Phenomena and Simulations. These topics are reflected across their publications and collaborations.

Verseghy has contributed to the following paper:

  • The Canadian Atmospheric Model version 5 (CanAM5.0.3), 2023, Geoscientific model development

Frequent collaborators in their research include:

  • Jason N. S. Cole
  • Knut von Salzen
  • Jiangnan Li
  • John Scinocca
  • David A. Plummer

Verseghy's work has appeared in the publication venue Geoscientific model development.

Best Publications

  • Regions of Strong Coupling Between Soil Moisture and Precipitation

    Randal D. Koster;Paul A. Dirmeyer;Zhichang Guo;Gordon Bonan

  • Class—A Canadian land surface scheme for GCMS. I. Soil model

    Diana L. Verseghy

  • GLACE: The Global Land-Atmosphere Coupling Experiment. Part I: Overview

    Randal D. Koster;Zhichang Guo;Paul A. Dirmeyer;Gordon Bonan

  • Class—A Canadian land surface scheme for GCMS, II. Vegetation model and coupled runs

    D. L. Verseghy;N. A. McFarlane;M. Lazare

  • 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

  • The Representation of Snow in Land Surface Schemes: Results from PILPS 2(d)

    A. G. Slater;A. G. Slater;C. A. Schlosser;C. E. Desborough;A. J. Pitman

  • The Canadian Fourth Generation Atmospheric Global Climate Model (CanAM4). Part I: Representation of Physical Processes

    Knut von Salzen;John F. Scinocca;Norman A. McFarlane;Jiangnan Li

  • Parametrization of Peatland Hydraulic Properties for the Canadian Land Surface Scheme

    Matthew G. Letts;Nigel T. Roulet;Neil T. Comer;Michael R. Skarupa

  • Soil Moisture Memory in AGCM Simulations: Analysis of Global Land–Atmosphere Coupling Experiment (GLACE) Data

    Sonia I. Seneviratne;Sonia I. Seneviratne;Randal D. Koster;Zhichang Guo;Paul A. Dirmeyer

  • Glace: The Global Land-Atmosphere Coupling Experiment Part 2: Analysis

    Zhichang Guo;Paul A. Dirmeyer;Randal D. Koster;Gordon Bonan

  • The Project for Intercomparison of Land-surface Parameterization Schemes (PILPS) Phase 2(c) Red–Arkansas River basin experiment:: 1. Experiment description and summary intercomparisons

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

  • Validation of the energy budget of an alpine snowpack simulated by several snow models (SnowMIP project)

    Pierre Etchevers;Eric Martin;Ross Brown;Charles Fierz

  • The Canadian land surface scheme (CLASS): Its history and future

    Diana L. Verseghy

  • The Rhône-Aggregation Land Surface Scheme Intercomparison Project: An Overview

    Aaron A. Boone;F. Habets;J. Noilhan;D. Clark

  • Simulation of high-latitude hydrological processes in the Torne-Kalix basin: PILPS phase 2(e) - 1: Experiment description and summary intercomparisons

    Laura C. Bowling;Dennis P. Lettenmaier;Bart Nijssen;Bart Nijssen;L. Phil Graham

  • Eddy covariance measurements of evaporation from Great Slave Lake, Northwest Territories, Canada

    Peter D. Blanken;Wayne R. Rouse;Alistair D. Culf;Chris Spence

  • The Project for Intercomparison of Land-surface Parameterization Schemes (PILPS) phase 2(c) Red–Arkansas River basin experiment:: 3. Spatial and temporal analysis of water fluxes

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

  • Development of the MESH modelling system for hydrological ensemble forecasting of the Laurentian Great Lakes at the regional scale

    A. Pietroniro;V. Fortin;N. Kouwen;C. Neal

  • Modified snow algorithms in the Canadian land surface scheme: Model runs and sensitivity analysis at three boreal forest stands

    Paul A. Bartlett;Murray D. MacKay;Diana L. Verseghy

  • Snow Cover and Snow Mass Intercomparisons of General Circulation Models and Remotely Sensed Datasets

    James Foster;Glen Liston;Randy Koster;Richard Essery

Frequent Co-Authors

Ross Brown
Ross Brown Environment and Climate Change Canada
Zong-Liang Yang
Zong-Liang Yang The University of Texas at Austin
Laxmi Sushama
Laxmi Sushama McGill University
Richard Essery
Richard Essery University of Edinburgh
Yongjiu Dai
Yongjiu Dai Sun Yat-sen University
Eric F. Wood
Eric F. Wood Princeton University
Michael Ek
Michael Ek National Center for Atmospheric Research
Yongkang Xue
Yongkang Xue University of California, Los Angeles
Robert E. Dickinson
Robert E. Dickinson The University of Texas at Austin
Kenneth E. Mitchell
Kenneth E. Mitchell National Oceanic and Atmospheric Administration

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