World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
43
Citations
5916
World Ranking
6298
National Ranking
77

Vladan Babovic 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 Vladan Babovic 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: 128 publications — 18th percentile

18% of scientists in this discipline score the same or lower.

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

Vladan Babovic 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 Vladan Babovic 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: 43 D-Index — 39th percentile

39% of scientists in this discipline score the same or lower.

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

Overview

Vladan Babovic is affiliated with the National University of Singapore in Singapore. Their research primarily focuses on environmental science, with particular attention to environmental engineering and water-related studies.

The subfields of work include:

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

The main topics of Vladan Babovic's research encompass:

  • Hydrology and Watershed Management Studies
  • Hydrological Forecasting Using AI
  • Flood Risk Assessment and Management
  • Water Resources Management and Optimization
  • Groundwater Flow and Contamination Studies
  • Environmental Monitoring and Data Management
  • Urban Stormwater Management Solutions

Significant recent papers authored by or associated with Vladan Babovic include:

  • "Uncovering Flooding Mechanisms Across the Contiguous United States Through Interpretive Deep Learning on Representative Catchments" (2021), published in Water Resources Research
  • "Bioretention systems for stormwater management: Recent advances and future prospects" (2021), published in Journal of Environmental Management
  • "Hydrologically informed machine learning for rainfall-runoff modelling: towards distributed modelling" (2021), published in Hydrology and Earth System Sciences
  • "Hydrologically Informed Machine Learning for Rainfall-Runoff Modeling: A Genetic Programming-Based Toolkit for Automatic Model Induction" (2020), published in Water Resources Research
  • "Toward improved lumped groundwater level predictions at catchment scale: Mutual integration of water balance mechanism and deep learning method" (2022), published in Journal of Hydrology

Frequent co-authors in Vladan Babovic's research collaborations include:

  • Chunmiao Zheng
  • Herath Mudiyanselage Viraj Vidura Herath
  • Jayashree Chadalawada
  • Hejiang Cai
  • Suning Liu

Common venues where Vladan Babovic's research has been published are:

  • Water Resources Research
  • Journal of Hydrology
  • Journal of Environmental Management
  • Hydrology and Earth System Sciences
  • Journal of Hydrology Regional Studies

Best Publications

  • On inducing equations for vegetation resistance

    M.J. Baptist;V. Babovic;J. Rodríguez Uthurburu;M. Keijzer

  • Genetic programming and its application in real-time runoff forecasting

    Soon Thiam Khu;Shie-Yui Liong;Vladan Babovic;Henrik Madsen

  • Genetic programming as a model induction engine

    Vladan Babovic;Maarten Keijzer

  • Adaptation Pathways and Real Options Analysis: An approach to deep uncertainty in climate change adaptation policies

    Joost Buurman;Vladan Babovic

  • EC-SVM approach for real-time hydrologic forecasting

    Xinying Yu;Shie-Yui Liong;Vladan Babovic

  • Bioretention systems for stormwater management: Recent advances and future prospects.

    Kuppusamy Vijayaraghavan;Basanta Kumar Biswal;Max Gerrit Adam;Soon Hong Soh

  • Genetic Programming: a New Paradigm in Rainfall Runoff Modeling

    Shie‐Yui Liong;Tirtha Raj Gautam;Soon Thiam Khu;Vladan Babovic

  • Rainfall runoff modelling based on genetic programming

    Vladan Babovic;Maarten Keijzer

  • Neural networks as routine for error updating of numerical models

    Vladan Babovic;Rafael Canizares;H. René Jensen;Anders Klinting

  • Hydrologically informed machine learning for rainfall-runoff modelling: towards distributed modelling

    Herath Mudiyanselage Viraj Vidura Herath;Jayashree Chadalawada;Vladan Babovic

  • Hydrologically Informed Machine Learning for Rainfall-Runoff Modeling: A Genetic Programming-Based Toolkit for Automatic Model Induction

    Jayashree Chadalawada;H. M. V. V. Herath;Vladan Babovic

  • A Data Mining Approach to Modelling of Water Supply Assets

    Vladan Babovic;Jean-Philippe Drécourt;Maarten Keijzer;Peter Friss Hansen

  • A real options approach to the design and architecture of water supply systems using innovative water technologies under uncertainty

    Stephen X. Zhang;Vladan Babovic

  • Data mining in hydrology

    Vladan Babovic

  • Valuing flexibilities in the design of urban water management systems.

    Yinghan Deng;Michel-Alexandre Cardin;Vladan Babovic;Deepak Santhanakrishnan

  • The evolution of equations from hydraulic data. Part I: Theory

    Vladan Babovic;Michael B. Abbott

  • Dimensionally aware genetic programming

    Maarten Keijzer;Vladan Babovic

  • Genetic Programming, Ensemble Methods and the Bias/Variance Tradeoff - Introductory Investigations

    Maarten Keijzer;Vladan Babovic

  • Velocity predictions in compound channels with vegetated floodplains using genetic programming

    E. L. Harris;V. Babovic;Roger Alexander Falconer

  • Rainfall‐Runoff Modeling Based on Genetic Programming

    Vladan Babovic;Maarten Keijzer

Frequent Co-Authors

Karina Yew-Hoong Gin
Karina Yew-Hoong Gin National University of Singapore
Michael O'Neill
Michael O'Neill University College Dublin
Henrik Madsen
Henrik Madsen Technical University of Denmark
Soon-Thiam Khu
Soon-Thiam Khu Tianjin University
Conor Ryan
Conor Ryan University of Limerick
Paulin Coulibaly
Paulin Coulibaly McMaster University
Rajasekhar Balasubramanian
Rajasekhar Balasubramanian National University of Singapore
Allen P. Davis
Allen P. Davis University of Maryland, College Park
Roger Alexander Falconer
Roger Alexander Falconer Cardiff University
Ke Zhang
Ke Zhang Hohai University

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