World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
42
Citations
9037
World Ranking
7302
National Ranking
268

Jai Vaze 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 Jai Vaze 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: 158 publications — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Jai Vaze 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 Jai Vaze 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: 42 D-Index — 25th percentile

25% of scientists in this discipline score the same or lower.

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

Overview

Jai Vaze is affiliated with the Commonwealth Scientific and Industrial Research Organisation in Australia, contributing extensively to the field of Environmental Science. The primary focus of their research spans several subfields, including Global and Planetary Change, Water Science and Technology, Ecology, Environmental Engineering, and Atmospheric Science.

The scientist's work emphasizes topics related to hydrology and watershed management, flood risk assessment and management, hydrology and sediment transport processes, groundwater flow and contamination studies, tropical and extratropical cyclones research, hydrology and drought analysis, and atmospheric and environmental gas dynamics.

Jai Vaze frequently publishes in notable venues in the hydrology and environmental science domains. These include the Journal of Hydrology, Water Resources Research, Hydrological Sciences Journal, Journal of Hydroinformatics, and Scientific Data.

Their recent papers cover a range of important subjects:

  • Streamflow naturalization methods: a review (2020) in Hydrological Sciences Journal
  • Impacts of coal mining and coal seam gas extraction on groundwater and surface water (2020) in Journal of Hydrology
  • A Comprehensive Assessment of Floodwater Depth Estimation Models in Semiarid Regions (2022) in Water Resources Research
  • A 2D hydrodynamic model-based method for efficient flood inundation modelling (2022) in Journal of Hydroinformatics
  • Changes in the surface water - Groundwater interactions of the Murray-Darling basin (Australia) over the past half a century (2023) in Journal of Hydrology

Collaborations feature prominently in Jai Vaze's research, with frequent co-authors including Steve Marvanek, Carmel Pollino, Russell S. Crosbie, Jin Teng, and Shaun Kim. These collaborations have contributed to a substantial body of work addressing multifaceted environmental and hydrological challenges.

Best Publications

  • Flood inundation modelling

    J. Teng;A.J. Jakeman;J. Vaze;B.F.W. Croke

  • Multi-decadal trends in global terrestrial evapotranspiration and its components

    Yongqiang Zhang;Jorge L. Peña-Arancibia;Tim R. McVicar;Tim R. McVicar;Francis H. S. Chiew

  • Crash testing hydrological models in contrasted climate conditions: An experiment on 216 Australian catchments

    L. Coron;Vazken Andréassian;C. Perrin;J. Lerat

  • Experimental study of pollutant accumulation on an urban road surface

    J Vaze;Francis H.S Chiew

  • Climate non-stationarity – Validity of calibrated rainfall–runoff models for use in climate change studies

    J. Vaze;D.A. Post;F.H.S. Chiew;J.-M. Perraud

  • Estimating climate change impact on runoff across southeast Australia: Method, results, and implications of the modeling method

    F. H. S. Chiew;J. Teng;J. Vaze;D. A. Post

  • Impact of DEM accuracy and resolution on topographic indices

    Jai Vaze;Jin Teng;Georgina Spencer

  • Nutrient Loads Associated with Different Sediment Sizes in Urban Stormwater and Surface Pollutants

    Jai Vaze;Francis H. S. Chiew

  • Estimating the Relative Uncertainties Sourced from GCMs and Hydrological Models in Modeling Climate Change Impact on Runoff

    Jin Teng;Jai Vaze;Francis H. S. Chiew;Biao Wang

  • An integrated modelling framework for regulated river systems

    Wendy D. Welsh;Jai Vaze;Dushmanta Dutta;David Rassam

  • How does bias correction of regional climate model precipitation affect modelled runoff

    J. Teng;N. J. Potter;F. H. S. Chiew;L. Zhang

  • Separating effects of vegetation change and climate variability using hydrological modelling and sensitivity-based approaches

    Huiyun Li;Huiyun Li;Yongqiang Zhang;Jai Vaze;Bende Wang

  • Observed hydrologic non-stationarity in far south-eastern Australia: implications for modelling and prediction

    Francis Chiew;Nick Potter;Jai Vaze;Cuan Petheram

  • Hydrology under change: an evaluation protocol to investigate how hydrological models deal with changing catchments

    G. Thirel;V. Andreassian;C. Perrin;J.-N. Audouy

  • Rainfall-Runoff Modelling Across Southeast Australia: Datasets, Models and Results

    J Vaze;F H S Chiew;J M Perraud;N Viney

  • Rapid Inundation Modelling in Large Floodplains Using LiDAR DEM

    Jin Teng;Jai Vaze;Dushmanta Dutta;Steve Marvanek

  • Estimation of Climate Change Impact on Mean Annual Runoff across Continental Australia Using Budyko and Fu Equations and Hydrological Models

    J. Teng;F. H. S. Chiew;J. Vaze;S. Marvanek

  • Influence of global climate model selection on runoff impact assessment

    F.H.S. Chiew;J. Teng;J. Vaze;D.G.C. Kirono

  • Study of pollutant washoff from small impervious experimental plots

    J. Vaze;Francis H. S. Chiew

  • Comparative evaluation of urban storm water quality models

    J. Vaze;Francis H. S. Chiew

Frequent Co-Authors

Francis H. S. Chiew
Francis H. S. Chiew Commonwealth Scientific and Industrial Research Organisation
Yongqiang Zhang
Yongqiang Zhang Chinese Academy of Sciences
Neil R. Viney
Neil R. Viney Commonwealth Scientific and Industrial Research Organisation
Lu Zhang
Lu Zhang Commonwealth Scientific and Industrial Research Organisation
Warrick Dawes
Warrick Dawes Commonwealth Scientific and Industrial Research Organisation
Vazken Andréassian
Vazken Andréassian University of Paris-Saclay
Charles Perrin
Charles Perrin University of Paris-Saclay
Tim R. McVicar
Tim R. McVicar Commonwealth Scientific and Industrial Research Organisation
Anthony J. Jakeman
Anthony J. Jakeman Australian National University
Ying-Ping Wang
Ying-Ping Wang Commonwealth Scientific and Industrial Research Organisation

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