World's Best Scientists 2026 revealed!
Paulin Coulibaly

Paulin Coulibaly

D-Index & Metrics

Environmental Sciences

D-Index
52
Citations
12840
World Ranking
4410
National Ranking
186

Paulin Coulibaly 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 Paulin Coulibaly 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: 165 publications — 49th percentile

49% of scientists in this discipline score the same or lower.

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

Paulin Coulibaly 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 Paulin Coulibaly 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: 52 D-Index — 55th percentile

55% of scientists in this discipline score the same or lower.

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

Overview

Paulin Coulibaly is affiliated with McMaster University in Canada with a primary focus in Environmental Science. Their research spans several subfields including Global and Planetary Change, Water Science and Technology, Atmospheric Science, Environmental Engineering, and Ocean Engineering.

The scientist's work extensively covers topics such as Hydrology and Watershed Management Studies, Flood Risk Assessment and Management, Hydrology and Drought Analysis, Hydrological Forecasting Using AI, Climate Variability and Models, Meteorological Phenomena and Simulations, and Precipitation Measurement and Analysis.

Paulin has contributed to multiple peer-reviewed articles published mainly in these venues:

  • Water
  • Journal of Hydrology Regional Studies
  • Journal of Hydrology
  • Journal of Hydrometeorology
  • SSRN Electronic Journal

Key recent publications include:

  • Recent Advances in Real-Time Pluvial Flash Flood Forecasting, 2020, Water
  • Inter-comparison of lumped hydrological models in data-scarce watersheds using different precipitation forcing data sets: Case study of Northern Ontario, Canada, 2020, Journal of Hydrology Regional Studies
  • Flood Inundation Mapping in an Ungauged Basin, 2020, Water
  • A temporal downscaling approach for sub-daily gridded extreme rainfall intensity estimation under climate change, 2021, Journal of Hydrology Regional Studies
  • Introducing entropy-based Bayesian model averaging for streamflow forecast, 2020, Journal of Hydrology

Frequent coauthors collaborating with Paulin Coulibaly include:

  • Wael El-Dakhakhni
  • Sonia Hassini
  • Pedram Darbandsari
  • Mohamed Refaat Elgendy
  • Moustafa Naiem Abdel-Mooty

The research contributions reflect an interdisciplinary approach integrating hydrological modeling, flood risk assessment, and climate-related studies. The focus on both methodological advancements such as Bayesian model averaging for streamflow forecasting and applied studies in flood inundation and extreme rainfall estimation indicates a comprehensive engagement with hydrology and environmental science challenges.

The publication record shows active involvement in journals that specialize in water resources, hydrology, and environmental regional studies, reflecting the scientist's engagement with both fundamental and applied environmental research topics.

Best Publications

  • Groundwater level forecasting using artificial neural networks

    Ioannis N. Daliakopoulos;Paulin Coulibaly;Ioannis K. Tsanis

  • Daily reservoir inflow forecasting using artificial neural networks with stopped training approach

    P. Coulibaly;F. Anctil;B. Bobée

  • Hydrologic impact of climate change in the Saguenay watershed: comparison of downscaling methods and hydrologic models

    Yonas B. Dibike;Paulin Coulibaly

  • Artificial neural network modeling of water table depth fluctuations

    Paulin Coulibaly;François Anctil;Ramon Aravena;Bernard Bobée

  • Uncertainty analysis of statistical downscaling methods

    Mohammad Sajjad Khan;Paulin Coulibaly;Yonas Dibike

  • Streamflow Prediction in Ungauged Basins: Review of Regionalization Methods

    Tara Razavi;Paulin Coulibaly

  • Developments in hydrometric network design: A review

    Ashok K. Mishra;Paulin Coulibaly

  • Advances in soil moisture retrieval from synthetic aperture radar and hydrological applications

    Kurt C. Kornelsen;Paulin Coulibaly

  • Two decades of anarchy? Emerging themes and outstanding challenges for neural network river forecasting

    Robert J. Abrahart;François Anctil;Paulin Coulibaly;Christian W. Dawson

  • Application of Support Vector Machine in Lake Water Level Prediction

    Mohammad Sajjad Khan;Paulin Coulibaly

  • Wavelet analysis of variability in annual Canadian streamflows

    Paulin Coulibaly;Donald H. Burn

  • Nonstationary hydrological time series forecasting using nonlinear dynamic methods

    Paulin Coulibaly;Connely K. Baldwin

  • Estimation of Continuous Streamflow in Ontario Ungauged Basins: Comparison of Regionalization Methods

    Jos Samuel;Jos Samuel;Paulin Coulibaly;Paulin Coulibaly;Robert A. Metcalfe;Robert A. Metcalfe

  • Downscaling Precipitation and Temperature with Temporal Neural Networks

    Paulin Coulibaly;Yonas B. Dibike;François Anctil

  • Comparison of neural network methods for infilling missing daily weather records

    P. Coulibaly;N.D. Evora

  • Multivariate Reservoir Inflow Forecasting Using Temporal Neural Networks

    Paulin Coulibaly;François Anctil;Bernard Bobée

  • 2006 Special issue: Temporal neural networks for downscaling climate variability and extremes

    Yonas B. Dibike;Paulin Coulibaly

  • Wavelet Analysis of the Interannual Variability in Southern Quebec Streamflow

    François Anctil;Paulin Coulibaly

  • Bayesian neural network for rainfall‐runoff modeling

    Mohammad Sajjad Khan;Paulin Coulibaly

  • Bayesian Flood Forecasting Methods: A Review

    Shasha Han;Paulin Coulibaly

  • Temporal neural networks for downscaling climate variability and extremes

    Y.B. Dibike;P. Coulibaly

Frequent Co-Authors

François Anctil
François Anctil Université Laval
Donald H. Burn
Donald H. Burn University of Waterloo
M. Altaf Arain
M. Altaf Arain McMaster University
Ioannis K. Tsanis
Ioannis K. Tsanis Technical University of Crete
Alain Pietroniro
Alain Pietroniro University of Saskatchewan
Pavlos S. Kanaroglou
Pavlos S. Kanaroglou McMaster University
Robert L. Wilby
Robert L. Wilby Loughborough University
Ramon Aravena
Ramon Aravena University of Waterloo
Hamid Moradkhani
Hamid Moradkhani University of Alabama
Michael H. Cosh
Michael H. Cosh Agricultural Research Service

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