World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
57
Citations
12774
World Ranking
3421
National Ranking
261

Dawei Han 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 Dawei Han 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: 415 publications — 95th percentile

95% of scientists in this discipline score the same or lower.

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

Dawei Han 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 Dawei Han 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: 57 D-Index — 65th percentile

65% of scientists in this discipline score the same or lower.

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

Overview

Dawei Han is affiliated with the University of Bristol in the United Kingdom. Their research primarily spans the fields of Environmental Science and Earth and Planetary Sciences, with a substantive focus in related subfields such as Global and Planetary Change, Atmospheric Science, Water Science and Technology, Environmental Engineering, and Materials Chemistry.

The scientist's work is centered on several main research topics, including:

  • Flood Risk Assessment and Management
  • Hydrology and Watershed Management Studies
  • Precipitation Measurement and Analysis
  • Hydrology and Drought Analysis
  • Meteorological Phenomena and Simulations
  • Climate variability and models
  • Hydrological Forecasting Using AI

Dawei Han has contributed frequently to journals such as:

  • Journal of Hydrology
  • Hydrology and Earth System Sciences
  • Environmental Modelling & Software
  • Water Resources Research
  • Photodiagnosis and Photodynamic Therapy

Their recent papers illustrate diverse aspects of environmental modeling and hydrology, and include:

  • "A comprehensive review on the design and optimization of surface water quality monitoring networks," 2020, Environmental Modelling & Software
  • "Agent-based modelling and flood risk management: A compendious literature review," 2020, Journal of Hydrology
  • "Comparison of gridded precipitation datasets for rainfall-runoff and inundation modeling in the Mekong River Basin," 2020, PLoS ONE
  • "Assessing the potential of different satellite soil moisture products in landslide hazard assessment," 2021, Remote Sensing of Environment
  • "Hydrological Model Adaptability to Rainfall Inputs of Varied Quality," 2023, Water Resources Research

The scholar has collaborated extensively with co-authors such as Lu Zhuo, Qiang Dai, Miguel A. Rico-Ramirez, Ying Liu, and Shaonan Zhu.

In addition to journal articles, Dawei Han has book publications with publishers including UWA Publishing and Springer Nature. Titles include "Water-Wise Cities and Sustainable Water Systems: Concepts, Technologies, and Applications" published in 2020 and "Innovation in Smart and Sustainable Infrastructure" published in 2024.

Best Publications

  • Twenty-three unsolved problems in hydrology (UPH)–a community perspective

    Günter Blöschl;Marc F.P. Bierkens;Antonio Chambel;Christophe Cudennec

  • Selection of classification techniques for land use - land cover change investigation

    Prashant K Srivastava;Dawei Han;Miguel A Rico-Ramirez;Michaela Bray

  • Assessment of input variables determination on the SVM model performance using PCA, Gamma test, and forward selection techniques for monthly stream flow prediction

    R. Noori;A.R. Karbassi;A. Moghaddamnia;D. Han

  • Evaporation Estimation Using Artificial Neural Networks and Adaptive Neuro-Fuzzy Inference System Techniques

    A. Moghaddamnia;M Ghafari Gousheh;J. Piri;S. Amin

  • Machine Learning Techniques for Downscaling SMOS Satellite Soil Moisture Using MODIS Land Surface Temperature for Hydrological Application

    Prashant K. Srivastava;Dawei Han;Miguel Rico Ramirez;Tanvir Islam

  • Assessment of flood inundation mapping of Surat city by coupled 1D/2D hydrodynamic modeling: a case application of the new HEC-RAS 5

    Dhruvesh P. Patel;Jorge Alberto Ramirez;Prashant K. Srivastava;Michaela Bray

  • Identification of Support Vector Machines for Runoff Modelling

    Michaela Bray;Dawei Han

  • Water quality monitoring in a smart city: a pilot project

    Yiheng Chen;Dawei Han

  • Flood forecasting using support vector machines

    D. Han;L. Chan;N. Zhu

  • Most computational hydrology is not reproducible, so is it really science?

    Christopher Hutton;Thorsten Wagener;Jim Freer;Dawei Han

  • Comparison of LLR, MLP, Elman, NNARX and ANFIS Models―with a case study in solar radiation estimation

    A. Moghaddamnia;R. Remesan;M. Hassanpour Kashani;M. Mohammadi

  • Analysis of NDVI Data for Crop Identification and Yield Estimation

    Jing Huang;Huimin Wang;Qiang Dai;Dawei Han

  • Constraining Conceptual Hydrological Models With Multiple Information Sources

    R.C. Nijzink;S. Almeida;S. Almeida;I. G. Pechlivanidis;R. Capell

  • Daily Pan Evaporation Modeling in a Hot and Dry Climate

    J. Piri;S. Amin;A. Moghaddamnia;A. Keshavarz

  • Uncertainties in real-time flood forecasting with neural networks

    Dawei Han;Terence Kwong;Simon Li

  • Modeling groundwater quality over a humid subtropical region using numerical indices, earth observation datasets, and X-ray diffraction technique: a case study of Allahabad district, India.

    Sudhir Kumar Singh;Prashant K. Srivastava;Prashant K. Srivastava;Prashant K. Srivastava;Dharmveer Singh;Dawei Han

  • Runoff prediction using an integrated hybrid modelling scheme

    Renji Remesan;Muhammad Ali Shamim;Dawei Han;Jimson Mathew

  • A comprehensive review on the design and optimization of surface water quality monitoring networks

    Jiping Jiang;Sijie Tang;Sijie Tang;Dawei Han;Guangtao Fu

  • Automated Thiessen polygon generation

    D. Han;Michaela Bray

  • Model data selection using gamma test for daily solar radiation estimation

    R. Remesan;M. A. Shamim;D. Han

  • The evolution of root-zone moisture capacities after deforestation: a step towards hydrological predictions under change?

    Remko Nijzink;Christopher Hutton;Ilias Pechlivanidis;René Capell

  • Uncertainty of Intensity-Duration-Frequency (IDF) curves due to varied climate baseline periods

    Sherien Fadhel;Sherien Fadhel;Miguel Angel Rico-Ramirez;Dawei Han

Frequent Co-Authors

Prashant K. Srivastava
Prashant K. Srivastava Banaras Hindu University
Jim Freer
Jim Freer University of Bristol
Thorsten Wagener
Thorsten Wagener University of Potsdam
Berit Arheimer
Berit Arheimer Swedish Meteorological and Hydrological Institute
Akhilesh Singh Raghubanshi
Akhilesh Singh Raghubanshi Banaras Hindu University
Markus Hrachowitz
Markus Hrachowitz Delft University of Technology
Hubert H. G. Savenije
Hubert H. G. Savenije Delft University of Technology
Christopher J. Duffy
Christopher J. Duffy Pennsylvania State University
Sudhir Kumar Singh
Sudhir Kumar Singh University of Allahabad

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