World's Best Scientists 2026 revealed!
Witold F. Krajewski

Witold F. Krajewski

D-Index & Metrics

Environmental Sciences

D-Index
84
Citations
22952
World Ranking
799
National Ranking
343

Witold F. Krajewski 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 Witold F. Krajewski 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: 464 publications — 96th percentile

96% of scientists in this discipline score the same or lower.

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

Witold F. Krajewski 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 Witold F. Krajewski 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: 84 D-Index — 92nd percentile

92% 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

  • 2003 - Fellow of American Geophysical Union (AGU)

Overview

Witold F. Krajewski is affiliated with the University of Iowa in the United States. Their research primarily spans environmental science and earth and planetary sciences, with a total of 106 and 38 publications in these main fields respectively.

The scientist's work delves into several subfields, including global and planetary change, water science and technology, atmospheric science, environmental engineering, and geology. Their focused topics include hydrology and watershed management studies, flood risk assessment and management, hydrology and drought analysis, precipitation measurement and analysis, meteorological phenomena and simulations, hydrological forecasting using AI, and soil moisture and remote sensing.

Recent publications reflect the scope of their research interests. Notable papers include:

  • "Combined Modeling of US Fluvial, Pluvial, and Coastal Flood Hazard Under Current and Future Climates" (2020), published in Water Resources Research
  • "Improvement and evaluation of the Iowa Flood Center Hillslope Link Model (HLM) by calibration-free approach" (2020), published in Journal of Hydrology
  • "Hydrologic investigations of radar-rainfall error propagation to rainfall-runoff model hydrographs" (2022), published in Advances in Water Resources
  • "Real-time streamflow forecasting: AI vs. Hydrologic insights" (2021), published in Journal of Hydrology X
  • "Advancing Precipitation Estimation, Prediction, and Impact Studies" (2020), published in Bulletin of the American Meteorological Society

In collaboration and coauthorship, Witold F. Krajewski has frequently worked with:

  • Felipe Quintero
  • Ricardo Mantilla
  • Gabriele Villarini
  • Bong-Chul Seo
  • Ganesh R. Ghimire

Publications are often found in specific venues including Journal of Hydrometeorology, Journal of Hydrologic Engineering, Advances in Water Resources, Environmental Modelling & Software, and Stochastic Environmental Research and Risk Assessment.

The scientist holds the designation of Fellow of the American Geophysical Union (AGU), awarded in 2003.

Best Publications

  • Rainfall forecasting in space and time using a neural network

    Mark N. French;Witold F. Krajewski;Robert R. Cuykendall

  • Radar hydrology: rainfall estimation.

    W. F. Krajewski;James A. Smith

  • On the stationarity of annual flood peaks in the continental United States during the 20th century

    Gabriele Villarini;Francesco Serinaldi;James A. Smith;Witold F. Krajewski

  • Two-dimensional video disdrometer: A description

    Anton Kruger;Witold F. Krajewski

  • Rainfall and sampling uncertainties: A rain gauge perspective

    Gabriele Villarini;Pradeep V. Mandapaka;Witold F. Krajewski;Robert J. Moore

  • Flood frequency analysis for nonstationary annual peak records in an urban drainage basin

    Gabriele Villarini;James A. Smith;Francesco Serinaldi;Jerad Bales

  • Review of the Different Sources of Uncertainty in Single Polarization Radar-Based Estimates of Rainfall

    Gabriele Villarini;Witold F. Krajewski

  • Sampling Errors of Tipping-Bucket Rain Gauge Measurements

    Emad Habib;Witold F. Krajewski;Anton Kruger

  • Cokriging radar-rainfall and rain gage data

    Witold F. Krajewski

  • Combined Modeling of US Fluvial, Pluvial, and Coastal Flood Hazard Under Current and Future Climates

    Paul D. Bates;Niall Quinn;Christopher Sampson;Andrew Smith

  • Radar for hydrology: unfulfilled promise or unrecognized potential?

    Alexis Berne;Witold F. Krajewski

  • On the estimation of radar rainfall error variance

    Grzegorz J. Ciach;Witold F. Krajewski

  • Comparison of Drop Size Distribution Measurements by Impact and Optical Disdrometers

    Ali Tokay;Anton Kruger;Witold F. Krajewski

  • Estimation of the mean field bias of radar rainfall estimates

    James A. Smith;Witold F. Krajewski

  • An analysis of small-scale rainfall variability in different climatic regimes

    Witold F. Krajewski;Grzegorz J. Ciach;Emad Habib

  • A Monte Carlo Study of rainfall sampling effect on a distributed catchment model

    Witold F. Krajewski;Venkataraman Lakshmi;Konstantine P. Georgakakos;Subhash C. Jain

  • On the frequency of heavy rainfall for the Midwest of the United States

    Gabriele Villarini;James A. Smith;Mary Lynn Baeck;Renato Vitolo

  • Product-Error-Driven Uncertainty Model for Probabilistic Quantitative Precipitation Estimation with NEXRAD Data

    Grzegorz J. Ciach;Witold F. Krajewski;Gabriele Villarini

  • Evaluating NEXRAD Multisensor Precipitation Estimates for Operational Hydrologic Forecasting

    C. Bryan Young;A. Allen Bradley;Witold F. Krajewski;Anton Kruger

  • Analysis and modeling of spatial correlation structure in small-scale rainfall in Central Oklahoma

    Grzegorz J. Ciach;Witold F. Krajewski

Frequent Co-Authors

Gabriele Villarini
Gabriele Villarini Princeton University
Mary Lynn Baeck
Mary Lynn Baeck Princeton University
Emmanouil N. Anagnostou
Emmanouil N. Anagnostou University of Connecticut
Kumar Vijay Mishra
Kumar Vijay Mishra IEEE Foundation
Emad Habib
Emad Habib University of Louisiana at Lafayette
Fred L. Ogden
Fred L. Ogden National Oceanic and Atmospheric Administration
Konstantine P. Georgakakos
Konstantine P. Georgakakos Hydrologic Research Center
Mekonnen Gebremichael
Mekonnen Gebremichael University of California, Los Angeles
Vijay K. Gupta
Vijay K. Gupta University of Colorado Boulder
Dong Jun Seo
Dong Jun Seo The University of Texas at Arlington

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