World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
38
Citations
9571
World Ranking
7894
National Ranking
402

Dmitri Kavetski publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Dmitri Kavetski sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 117 publications — 14th percentile

14% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Dmitri Kavetski D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Dmitri Kavetski sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 38 D-Index — 20th percentile

20% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

Dmitri Kavetski is affiliated with the University of Adelaide in Australia, where their research focuses on environmental science with a specialization in hydrology and watershed management studies.

Their work covers several interconnected subfields including:

  • Global and Planetary Change
  • Water Science and Technology
  • Environmental Engineering
  • Atmospheric Science
  • Ocean Engineering

Kavetski's research addresses a range of topics, mainly:

  • Hydrology and Watershed Management Studies
  • Flood Risk Assessment and Management
  • Hydrology and Drought Analysis
  • Hydrological Forecasting Using AI
  • Meteorological Phenomena and Simulations
  • Groundwater flow and contamination studies
  • Water resources management and optimization

The scientist has contributed to multiple publications. Recent papers include:

  • "Multi-temporal Hydrological Residual Error Modeling for Seamless Subseasonal Streamflow Forecasting", 2020, Water Resources Research
  • "Predicting wildfire induced changes to runoff: A review and synthesis of modeling approaches", 2022, Wiley Interdisciplinary Reviews Water
  • "A robust approach for calibrating a daily rainfall-runoff model to monthly streamflow data", 2020, Journal of Hydrology
  • "Improving the Reliability of Sub-Seasonal Forecasts of High and Low Flows by Using a Flow-Dependent Nonparametric Model", 2021, Water Resources Research
  • "Identification of Dominant Hydrological Mechanisms Using Bayesian Inference, Multiple Statistical Hypothesis Testing, and Flexible Models", 2021, Water Resources Research

Kavetski frequently publishes in journals and venues such as:

  • Water Resources Research
  • MODSIM2021, 24th International Congress on Modelling and Simulation
  • Journal of Hydrology
  • Zenodo (CERN European Organization for Nuclear Research)
  • Hydrological Sciences Journal

The scientist collaborates regularly with several coauthors including:

  • David McInerney
  • Mark Thyer
  • Richard Laugesen
  • Seth Westra
  • Cristina Prieto

Best Publications

  • Bayesian analysis of input uncertainty in hydrological modeling: 2. Application

    Dmitri Kavetski;Dmitri Kavetski;George Kuczera;Stewart W. Franks

  • Elements of a flexible approach for conceptual hydrological modeling : 1. Motivation and theoretical development

    Fabrizio Fenicia;Dmitri Kavetski;Hubert H. G. Savenije

  • Model for CO2 leakage including multiple geological layers and multiple leaky wells.

    Jan M. Nordbotten;Dmitri Kavetski;Michael A. Celia;Stefan Bachu

  • A unified approach for process-based hydrologic modeling: 2. Model implementation and case studies

    Martyn P. Clark;Bart Nijssen;Jessica D. Lundquist;Dmitri Kavetski

  • Catchment properties, function, and conceptual model representation: Is there a correspondence?

    Fabrizio Fenicia;Dmitri Kavetski;Hubert H G Savenije;Martyn P. Clark

  • Ancient numerical daemons of conceptual hydrological modeling: 1. Fidelity and efficiency of time stepping schemes

    Martyn P. Clark;Dmitri Kavetski

  • Ancient numerical daemons of conceptual hydrological modeling: 2. Impact of time stepping schemes on model analysis and prediction

    Dmitri Kavetski;Martyn P. Clark

  • A strategy for diagnosing and interpreting hydrological model nonstationarity

    Seth Westra;Mark Thyer;Michael Leonard;Dmitri Kavetski

  • Development of a hybrid process and system model for the assessment of wellbore leakage at a geologic CO2 sequestration site.

    Hari S. Viswanathan;Rajesh J. Pawar;Philip H. Stauffer;John P. Kaszuba

  • Challenges of operational river forecasting

    Thomas C. Pagano;Andrew W. Wood;Maria-Helena Ramos;Hannah L. Cloke

  • Elements of a flexible approach for conceptual hydrological modeling : 2. Application and experimental insights

    Dmitri Kavetski;Fabrizio Fenicia

  • Calibration of conceptual hydrological models revisited: 1. Overcoming numerical artefacts

    Dmitri Kavetski;George Kuczera;Stewart W. Franks

  • Adaptive time stepping and error control in a mass conservative numerical solution of the mixed form of Richards equation

    D. Kavetski;P. Binning;S.W. Sloan

  • Near-Real-Time Assimilation of SAR-Derived Flood Maps for Improving Flood Forecasts

    Renaud Hostache;Marco Chini;Laura Giustarini;Jeffrey Neal

  • Hydrological field data from a modeller's perspective: Part 2: process-based evaluation of model hypotheses

    Martyn P. Clark;Hilary K. McMillan;Daniel B. G. Collins;Dmitri Kavetski

  • Probabilistic Flood Mapping Using Synthetic Aperture Radar Data

    Laura Giustarini;Renaud Hostache;Dmitri Kavetski;Marco Chini

  • From spatially variable streamflow to distributed hydrological models: analysis of key modeling decisions

    Fabrizio Fenicia;Dmitri Kavetski;Hubert H. G. Savenije;Laurent Pfister

  • Assessing the impact of mixing assumptions on the estimation of streamwater mean residence time

    Fabrizio Fenicia;Sebastian Wrede;Dmitri Kavetski;Laurent Pfister

  • There are no hydrological monsters, just models and observations with large uncertainties!

    George Kuczera;Benjamin Renard;Mark Thyer;Dmitri Kavetski

  • Towards more systematic perceptual model development: a case study using 3 Luxembourgish catchments

    Sebastian Wrede;Fabrizio Fenicia;Núria Martínez-Carreras;Jérôme Juilleret

  • Adaptive backward Euler time stepping with truncation error control for numerical modelling of unsaturated fluid flow

    Dmitri Kavetski;Philip John Binning;Scott W. Sloan

  • Flow Prediction in Ungauged Catchments Using Probabilistic Random Forests Regionalization and New Statistical Adequacy Tests

    Cristina Prieto;Cristina Prieto;Cristina Prieto;Nataliya Le Vine;Nataliya Le Vine;Dmitri Kavetski;Eduardo García

  • Adaptive time stepping and error control in a mass conservative numerical solution of the mixed form of Richards equation | NOVA. The University of Newcastle's Digital Repository

    D. Kavetski;P. Binning;S. W. Sloan

Frequent Co-Authors

George Kuczera
George Kuczera University of Newcastle Australia
Stewart W. Franks
Stewart W. Franks University of Tasmania
Martyn P. Clark
Martyn P. Clark University of Saskatchewan
Laurent Pfister
Laurent Pfister Luxembourg Institute of Science and Technology
Hubert H. G. Savenije
Hubert H. G. Savenije Delft University of Technology
Jim Freer
Jim Freer University of Bristol
Ross Woods
Ross Woods University of Bristol
Jessica D. Lundquist
Jessica D. Lundquist University of Washington
Philip John Binning
Philip John Binning Technical University of Denmark
Scott W. Sloan
Scott W. Sloan University of Newcastle Australia

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Best Scientists Citing Dmitri Kavetski

Trending Scientists