World's Best Scientists 2026 revealed!
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Environmental Sciences
Canada
2023

D-Index & Metrics

Environmental Sciences

D-Index
76
Citations
19877
World Ranking
1209
National Ranking
42

Taha B. M. J. Ouarda 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 Taha B. M. J. Ouarda 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: 425 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.

Taha B. M. J. Ouarda 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 Taha B. M. J. Ouarda 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: 76 D-Index — 88th percentile

88% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2023 - Research.com Environmental Sciences in Canada Leader Award

Overview

Taha B. M. J. Ouarda is affiliated with the Institut National de la Recherche Scientifique in Canada. Their research primarily focuses on environmental science with significant contributions across various subfields, including global and planetary change, environmental engineering, water science and technology, health, toxicology and mutagenesis, and atmospheric science.

The scientist's work spans multiple core topics within environmental science. These topics include:

  • Climate variability and models
  • Hydrology and drought analysis
  • Hydrological forecasting using artificial intelligence
  • Hydrology and watershed management studies
  • Fish ecology and management studies
  • Wind and air flow studies
  • Meteorological phenomena and simulations

Frequent co-authors of Taha Ouarda include André St-Hilaire, Ataur Rahman, Pierre Masselot, Fateh Chebana, and Christian Charron.

The scientist has published extensively in several academic venues. The most frequent venues for their publications are:

  • Journal of Hydrology
  • SSRN Electronic Journal
  • Energy Conversion and Management
  • Stochastic Environmental Research and Risk Assessment
  • Water

Among recent papers authored or co-authored by Taha Ouarda are:

  • "Regional hydrological frequency analysis at ungauged sites with random forest regression," 2020, Journal of Hydrology
  • "A review of sensitivity analysis practices in wind resource assessment," 2021, Energy Conversion and Management
  • "Peaks-over-threshold model in flood frequency analysis: a scoping review," 2022, Stochastic Environmental Research and Risk Assessment
  • "Groundwater level modeling with hybrid artificial intelligence techniques," 2020, Journal of Hydrology
  • "Multivariate non-stationary hydrological frequency analysis," 2021, Journal of Hydrology

Best Publications

  • Towards operational guidelines for over-threshold modeling

    Michel Lang;Taha B. M. J. Ouarda;Bernard Bobée

  • Frequency analysis of a sequence of dependent and/or non-stationary hydro-meteorological observations: A review

    M.N. Khaliq;T.B.M.J. Ouarda;J.-C. Ondo;P. Gachon

  • Generalized maximum likelihood estimators for the nonstationary generalized extreme value model

    S. El Adlouni;T. B. M. J. Ouarda;X. Zhang;R. Roy

  • The Gumbel mixed model for flood frequency analysis

    Sheng Yue;Taha B. M. J. Ouarda;Bernard Bobée;Pierre Legendre

  • Use of Systematic, Palaeoflood and Historical Data for the Improvement of Flood Risk Estimation. Review of Scientific Methods

    Gerardo Benito;Michel Lang;Mariano Barriendos;M. Carmen Llasat

  • Identification of hydrological trends in the presence of serial and cross correlations: A review of selected methods and their application to annual flow regimes of Canadian rivers

    M.N. Khaliq;M.N. Khaliq;T.B.M.J. Ouarda;P. Gachon;L. Sushama

  • Automated regression-based statistical downscaling tool

    Masoud Hessami;Philippe Gachon;Taha B. M. J. Ouarda;André St-Hilaire

  • Regional flood frequency estimation with canonical correlation analysis

    Taha B.M.J. Ouarda;Claude Girard;George S. Cavadias;Bernard Bobée

  • A Review of Statistical Water Temperature Models

    Loubna Benyahya;Daniel Caissie;André St-Hilaire;Taha B.M.J Ouarda

  • A review of bivariate gamma distributions for hydrological application

    S. Yue;T.B.M.J. Ouarda;B. Bobée

  • On the tails of extreme event distributions in hydrology

    S. El Adlouni;B. Bobée;T.B.M.J. Ouarda

  • Regional flood frequency analysis at ungauged sites using the adaptive neuro-fuzzy inference system

    Chang Shu;Taha B. M. J. Ouarda

  • Probability distributions of wind speed in the UAE

    Taha B. M. J. Ouarda;Taha B. M. J. Ouarda;Christian Charron;Juyoung Shin;Prashanth R. Marpu

  • On the critical values of the standard normal homogeneity test (SNHT)

    M. N. Khaliq;T. B. M. J. Ouarda

  • Non-stationary regional flood frequency analysis at ungauged sites

    Martin Leclerc;Taha B.M.J. Ouarda

  • Multivariate quantiles in hydrological frequency analysis

    Fateh Chebana;Taha B. M. J. Ouarda

  • Trends in the timing and magnitude of floods in Canada

    Juraj M. Cunderlik;Taha B.M.J. Ouarda

  • Flood frequency analysis at ungauged sites using artificial neural networks in canonical correlation analysis physiographic space

    C. Shu;T. B. M. J. Ouarda

  • Estimation of water quality characteristics at ungauged sites using artificial neural networks and canonical correlation analysis

    B. Khalil;T.B.M.J. Ouarda;T.B.M.J. Ouarda;A. St-Hilaire

  • Physiographical space‐based kriging for regional flood frequency estimation at ungauged sites

    Karem Chokmani;Taha B. M. J. Ouarda

  • Generalized autoregressive conditional heteroscedasticity modelling of hydrologic time series

    Reza Modarres;Taha B. M. J. Ouarda;Taha B. M. J. Ouarda

Frequent Co-Authors

André St-Hilaire
André St-Hilaire Institut National de la Recherche Scientifique
Isabella Velicogna
Isabella Velicogna University of California, Irvine
M. Venkat Ratnam
M. Venkat Ratnam National Atmospheric Research Laboratory
Donald H. Burn
Donald H. Burn University of Waterloo
Paul H. Whitfield
Paul H. Whitfield University of Saskatchewan
Christopher Spence
Christopher Spence Environment and Climate Change Canada
Eric Lavigne
Eric Lavigne University of Ottawa
Laxmi Sushama
Laxmi Sushama McGill University
Gilles Boulet
Gilles Boulet Institut de Recherche pour le Développement
András Bárdossy
András Bárdossy University of Stuttgart

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