World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
45
Citations
6637
World Ranking
6495
National Ranking
165

Albrecht Weerts 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 Albrecht Weerts 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: 258 publications — 79th percentile

79% of scientists in this discipline score the same or lower.

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

Albrecht Weerts 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 Albrecht Weerts 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: 45 D-Index — 36th percentile

36% of scientists in this discipline score the same or lower.

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

Overview

Albrecht Weerts is affiliated with Wageningen University & Research in the Netherlands, focusing on environmental science and hydrology. Their research output spans 112 publications in the field of Environmental Science, with notable contributions in subfields such as Global and Planetary Change, Water Science and Technology, Atmospheric Science, Environmental Engineering, and Oceanography.

The scientist's work addresses multiple main topics, including:

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

Weerts has published extensively in several venues, with the most frequent publication platforms being:

  • Hydrology and Earth System Sciences
  • Water Resources Research
  • Zenodo (CERN European Organization for Nuclear Research)
  • Journal of Hydrology Regional Studies
  • Journal of Hydrology

Some of the recent papers by Weerts include:

  • Scaling Point-Scale (Pedo)transfer Functions to Seamless Large-Domain Parameter Estimates for High-Resolution Distributed Hydrologic Modeling: An Example for the Rhine River, 2020, Water Resources Research
  • A hydrography upscaling method for scale-invariant parametrization of distributed hydrological models, 2021, Hydrology and Earth System Sciences
  • Behind the scenes of streamflow model performance, 2021, Hydrology and Earth System Sciences
  • Spatial and Temporal Evaluation of Radar Rainfall Nowcasting Techniques on 1,533 Events, 2020, Water Resources Research
  • Improved Understanding of the Link Between Catchment-Scale Vegetation Accessible Storage and Satellite-Derived Soil Water Index, 2020, Water Resources Research

Throughout their career, Weerts has frequently collaborated with several researchers, including:

  • Ruben Imhoff
  • Willem van Verseveld
  • Claudia Brauer
  • R. Uijlenhoet
  • Dirk Eilander

Best Publications

  • Advancing data assimilation in operational hydrologic forecasting: progresses, challenges, and emerging opportunities

    Yuqiong Liu;Yuqiong Liu;A. Weerts;M. Clark;H.-J Hendricks Franssen

  • Particle filtering and ensemble Kalman filtering for state updating with hydrological conceptual rainfall-runoff models

    Albrecht H. Weerts;Ghada Y. H. El Serafy

  • Continental and global scale flood forecasting systems

    Rebecca E. Emerton;Rebecca E. Emerton;Elisabeth M. Stephens;Florian Pappenberger;Thomas C. Pagano

  • State of the Climate in 2018

    M. Ades;R. Adler;Laura S. Aldeco;G. Alejandra

  • Estimation of predictive hydrological uncertainty using quantile regression: examples from the national flood forecasting system (England and Wales)

    A. H. Weerts;H. C. Winsemius;J. S. Verkade

  • Post-processing ECMWF precipitation and temperature ensemble reforecasts for operational hydrologic forecasting at various spatial scales ☆

    J.S. Verkade;J.S. Verkade;J.D. Brown;P. Reggiani;A.H. Weerts

  • Distributed Evaluation of Local Sensitivity Analysis (DELSA), with application to hydrologic models

    O. Rakovec;Mary C. Hill;M. P. Clark;A. H. Weerts

  • A global network for operational flood risk reduction

    Lorenzo Alfieri;Sagy Cohen;John Galantowicz;Guy J.P. Schumann

  • Information content of data for identifying soil hydraulic parameters from outflow experiments

    J.A. Vrugt;W. Bouten;A.H. Weerts

  • A Bayesian approach to decision-making under uncertainty: An application to real-time forecasting in the river Rhine

    P. Reggiani;A.H. Weerts

  • State updating of a distributed hydrological model with Ensemble Kalman Filtering: Effects of updating frequency and observation network density on forecast accuracy

    O. Rakovec;A. H. Weerts;P. Hazenberg;P. Hazenberg;P. J. J. F. Torfs

  • Skill of a global seasonal streamflow forecasting system, relative roles of initial conditions and meteorological forcing

    Naze Candogan Yossef;Hessel Winsemius;Albrecht Weerts;Rens van Beek

  • Data assimilation of GRACE terrestrial water storage estimates into a regional hydrological model of the Rhine River basin

    N. Tangdamrongsub;S. C. Steele-Dunne;B. C. Gunter;B. C. Gunter;P. G. Ditmar

  • A hydrography upscaling method for scale-invariant parametrization of distributed hydrological models

    Dirk Eilander;Willem van Verseveld;Dai Yamazaki;Albrecht Weerts

  • Scaling Point???Scale (Pedo)transfer Functions to Seamless Large???Domain Parameter Estimates for High???Resolution Distributed Hydrologic Modeling: An Example for the Rhine River

    R. O. Imhoff;W. J. van Verseveld;B. van Osnabrugge;A. H. Weerts

  • Estimation of predictive hydrologic uncertainty using the quantile regression and UNEEC methods and their comparison on contrasting catchments

    N. Dogulu;N. Dogulu;P. López López;P. López López;D. P. Solomatine;D. P. Solomatine;A. H. Weerts

  • Discharge simulations performed with a hydrological model using bias corrected regional climate model input

    S. C. van Pelt;P. Kabat;H. W. ter Maat;B. J. J. M. van den Hurk

  • Uncertainty assessment via Bayesian revision of ensemble streamflow predictions in the operational river Rhine forecasting system

    P. Reggiani;M. Renner;A. H. Weerts;P. A. H. J. M. van Gelder

  • Redressing the balance : Quantifying net intercatchment groundwater flows

    Laurène Bouaziz;Albrecht Weerts;Jaap Schellekens;Eric Sprokkereef

  • Extracting information from an ensemble of GCMs to reliably assess future global runoff change

    F.C. Sperna Weiland;L.P.H. van Beek;A.H. Weerts;M.F.P. Bierkens

  • Significant uncertainty in global scale hydrological modeling from precipitation data errors

    Frederiek C. Sperna Weiland;Jasper A. Vrugt;Jasper A. Vrugt;Rens P.H. van Beek;Albrecht H. Weerts

  • Comparison of travel time analysis and inverse modeling for soil water content determination with time domain reflectometry

    J. A. Huisman;A. H. Weerts;T. J. Heimovaara;W. Bouten

Frequent Co-Authors

Remko Uijlenhoet
Remko Uijlenhoet Delft University of Technology
Hessel Winsemius
Hessel Winsemius Delft University of Technology
Dimitri Solomatine
Dimitri Solomatine IHE Delft Institute for Water Education
Keith Beven
Keith Beven Lancaster University
Wilco Hazeleger
Wilco Hazeleger Utrecht University
Markus Hrachowitz
Markus Hrachowitz Delft University of Technology
Hubert H. G. Savenije
Hubert H. G. Savenije Delft University of Technology
Christel Prudhomme
Christel Prudhomme European Centre for Medium-Range Weather Forecasts
Florian Pappenberger
Florian Pappenberger European Centre for Medium-Range Weather Forecasts
Marc F. P. Bierkens
Marc F. P. Bierkens Utrecht University

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