World's Best Scientists 2026 revealed!

D-Index & Metrics

Earth Science

D-Index
35
Citations
5616
World Ranking
7526
National Ranking
2568

Marian Muste publication distribution in Earth Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Earth Science in 2026. The highlighted bar marks where Marian Muste sits on this spectrum.

38–47 publications: 5 scientists 48–57 publications: 33 scientists 58–67 publications: 94 scientists 68–77 publications: 161 scientists 78–87 publications: 278 scientists 88–97 publications: 376 scientists 98–107 publications: 404 scientists 108–117 publications: 484 scientists 118–127 publications: 540 scientists 128–137 publications: 556 scientists 138–147 publications: 491 scientists 148–157 publications: 495 scientists 158–167 publications: 458 scientists 168–177 publications: 490 scientists 178–187 publications: 414 scientists 188–197 publications: 401 scientists 198–207 publications: 333 scientists 208–217 publications: 292 scientists 218–227 publications: 290 scientists 228–237 publications: 262 scientists 238–247 publications: 243 scientists 248–257 publications: 208 scientists 258–267 publications: 185 scientists 268–277 publications: 147 scientists 278–287 publications: 128 scientists 288–297 publications: 119 scientists 298–307 publications: 120 scientists 308–317 publications: 107 scientists 318–327 publications: 93 scientists 328–337 publications: 87 scientists 338–347 publications: 64 scientists 348–357 publications: 87 scientists 358–367 publications: 60 scientists 368–377 publications: 60 scientists 378–387 publications: 34 scientists 388–397 publications: 50 scientists 398–407 publications: 44 scientists 408–417 publications: 31 scientists 418–427 publications: 39 scientists 428–437 publications: 27 scientists 438–447 publications: 36 scientists 448–457 publications: 27 scientists 458–467 publications: 29 scientists 468–477 publications: 30 scientists 478–487 publications: 19 scientists 488–497 publications: 15 scientists 498–507 publications: 18 scientists 508–517 publications: 19 scientists 518–527 publications: 16 scientists 528–537 publications: 10 scientists 538–547 publications: 11 scientists 548–557 publications: 14 scientists 558–567 publications: 11 scientists 568–577 publications: 7 scientists 578–587 publications: 14 scientists 588–597 publications: 5 scientists 598–602 publications: 4 scientists 603+ publications: 100 scientists
38 publications 603+

This scientist: 102 publications — 13th percentile

13% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 603 publications or more.

Marian Muste D-index placement in Earth Science in 2026

The chart shows the D-index (discipline H-index) distribution of Earth Science scientists ranked by Research.com in 2026. The highlighted bar marks where Marian Muste sits on this spectrum.

30 D-Index: 144 scientists 31 D-Index: 215 scientists 32 D-Index: 278 scientists 33 D-Index: 379 scientists 34 D-Index: 366 scientists 35 D-Index: 372 scientists 36 D-Index: 389 scientists 37 D-Index: 366 scientists 38 D-Index: 344 scientists 39 D-Index: 349 scientists 40 D-Index: 296 scientists 41 D-Index: 289 scientists 42 D-Index: 277 scientists 43 D-Index: 279 scientists 44 D-Index: 248 scientists 45 D-Index: 257 scientists 46 D-Index: 212 scientists 47 D-Index: 202 scientists 48 D-Index: 207 scientists 49 D-Index: 204 scientists 50 D-Index: 183 scientists 51 D-Index: 178 scientists 52 D-Index: 181 scientists 53 D-Index: 178 scientists 54 D-Index: 163 scientists 55 D-Index: 117 scientists 56 D-Index: 163 scientists 57 D-Index: 120 scientists 58 D-Index: 113 scientists 59 D-Index: 136 scientists 60 D-Index: 135 scientists 61 D-Index: 96 scientists 62 D-Index: 103 scientists 63 D-Index: 83 scientists 64 D-Index: 103 scientists 65 D-Index: 83 scientists 66 D-Index: 89 scientists 67 D-Index: 92 scientists 68 D-Index: 89 scientists 69 D-Index: 78 scientists 70 D-Index: 75 scientists 71 D-Index: 53 scientists 72 D-Index: 62 scientists 73 D-Index: 54 scientists 74 D-Index: 35 scientists 75 D-Index: 52 scientists 76 D-Index: 50 scientists 77 D-Index: 32 scientists 78 D-Index: 37 scientists 79 D-Index: 20 scientists 80 D-Index: 33 scientists 81 D-Index: 36 scientists 82 D-Index: 34 scientists 83 D-Index: 34 scientists 84 D-Index: 24 scientists 85 D-Index: 19 scientists 86 D-Index: 18 scientists 87 D-Index: 26 scientists 88 D-Index: 30 scientists 89 D-Index: 17 scientists 90 D-Index: 21 scientists 91 D-Index: 19 scientists 92 D-Index: 15 scientists 93 D-Index: 14 scientists 94 D-Index: 20 scientists 95 D-Index: 9 scientists 96 D-Index: 10 scientists 97 D-Index: 15 scientists 98 D-Index: 13 scientists 99 D-Index: 3 scientists 100 D-Index: 13 scientists 101 D-Index: 3 scientists 102 D-Index: 9 scientists 103 D-Index: 4 scientists 104 D-Index: 6 scientists 105 D-Index: 6 scientists 106+ D-Index: 98 scientists
30 D-Index 106+

This scientist: 35 D-Index — 19th percentile

19% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 106 D-Index or more.

Overview

Marian Muste is affiliated with the University of Iowa in the United States and has contributed extensively to the field of Environmental Science, with a focus on hydrology and water-related studies. Their research spans several interrelated subfields, including Ecology, Water Science and Technology, Global and Planetary Change, Civil and Structural Engineering, and Environmental Engineering.

Their work often addresses core topics such as Hydrology and Sediment Transport Processes, Hydrology and Watershed Management Studies, Flood Risk Assessment and Management, Hydraulic Flow and Structures, Groundwater Flow and Contamination Studies, Soil Erosion and Sediment Transport, and Educational Games and Gamification.

Frequent collaborators in their research include İbrahim Demir, Yusuf Sermet, Dongsu Kim, Sándor Baranya, and Hojun You, indicating a collaborative approach within the hydrological and environmental research communities.

Marian Muste has published in numerous academic venues, most notably in the journal Water, where they have contributed three publications. Other frequent publication venues include Journal of Hydrologic Engineering, Water Resources Research, Environmental Modelling & Software, and Advances in Water Resources.

Significant recent papers authored or co-authored by Marian Muste include:

  • A collaborative serious game for water resources planning and hazard mitigation, 2020, International Journal of Disaster Risk Reduction
  • A serious gaming framework for decision support on hydrological hazards, 2020, The Science of The Total Environment
  • Revisiting hysteresis of flow variables in monitoring unsteady streamflows, 2020, Journal of Hydraulic Research
  • Role of Ion Chemistry and Hydro-Geochemical Processes in Aquifer Salinization-A Case Study from a Semi-Arid Region of Haryana, India, 2021, Water
  • A flood-crest forecast prototype for river floods using only in-stream measurements, 2022, Communications Earth & Environment

The focus on hydrological hazards, flood forecasting, and water resources planning, including the use of serious gaming for decision support, highlights an interest in integrating innovative methods with traditional hydrological research. This combination of topics illustrates a multidisciplinary approach encompassing both technological tools and environmental science considerations.

Best Publications

  • Large-scale particle image velocimetry for flow analysis in hydraulic engineering applications

    Ichiro Fujita;Marian Muste;Anton Kruger

  • Large‐scale particle image velocimetry for measurements in riverine environments

    M. Muste;I. Fujita;A. Hauet

  • Similitude of Large-Scale Turbulence in Experiments on Local Scour at Cylinders

    Robert Ettema;Gokhan Kirkil;Marian Muste

  • Practical aspects of ADCP data use for quantification of mean river flow characteristics; Part I: moving-vessel measurements

    M. Muste;K. Yu;T. Pratt;D. Abraham

  • River gauging using PIV techniques: a proof of concept experiment on the Iowa River

    J.D. Creutin;J.D. Creutin;M. Muste;A.A. Bradley;S.C. Kim

  • Velocity Profiles for Particles and Liquid in Open-Channel Flow with Suspended Sediment

    M. Muste;V. C. Patel

  • Experimental System for Real-Time Discharge Estimation Using an Image-Based Method

    Alexandre Hauet;Anton Kruger;Witold F. Krajewski;Allen Bradley

  • Scale Effects in Flume Experiments on Flow around a Spur Dike in Flatbed Channel

    Robert Ettema;Marian Muste

  • Flow measurement in streams using video imagery

    A. Allen Bradley;Anton Kruger;Ehab A. Meselhe;Marian V. I. Muste

  • Two-phase formulation of suspended sediment transport

    B. P. Greimann;M. Muste;F. M. Holly

  • Two-phase versus mixed-flow perspective on suspended sediment transport in turbulent channel flows

    M. Muste;K. Yu;I. Fujita;R. Ettema

  • Stream discharge using mobile large-scale particle image velocimetry: A proof of concept

    Y. Kim;M. Muste;A. Hauet;W. F. Krajewski

  • Considerations on direct stream flow measurements using video imagery: Outlook and research needs

    M. Muste;H.-C. Ho;D. Kim

  • Large Scale Particle Image Velocimetry for Low Velocity and Shallow Water Flows

    E. A. Meselhe;T. Peeva;M. Muste

  • Erosion of Cohesive Sediments: Resuspension, Bed Load, and Erosion Patterns from Field Experiments

    K. Debnath;Vladimir Ivanovich Nikora;J. Aberle;B. Westrich

  • Framework for Estimating Uncertainty of ADCP Measurements from a Moving Boat by Standardized Uncertainty Analysis

    Juan A. González-Castro;Juan A. González-Castro;Marian Muste;Marian Muste

  • Practical aspects of ADCP data use for quantification of mean river flow characteristics; Part II: fixed-vessel measurements

    Unknown

  • Particle-image velocimetry for whole-field measurement of ice velocities

    Robert Ettema;Ichiro Fujita;Marian Muste;Anton Kruger

  • Validation and Extension of Image Velocimetry Capabilities for Flow Diagnostics in Hydraulic Modeling

    Marian Muste;Zhijian Xiong;Jörg Schöne;Zhongwei Li

  • Capabilities of Large-scale Particle Image Velocimetry to characterize shallow free-surface flows

    M. Muste;A. Hauet;I. Fujita;C. Legout

  • A web-based decision support system for collaborative mitigation of multiple water-related hazards using serious gaming.

    Haowen Xu;Mary Windsor;Marian Muste;Ibrahim Demir

  • Velocity Measurements in Asymmetric Turbulent Channel Flows

    R. N. Parthasarathy;M. Muste

  • Acoustic Velocimetry for Riverine Environments

    Marian Muste;Tracy Vermeyen;Rollin Hotchkiss;Kevin Oberg

Frequent Co-Authors

Robert Ettema
Robert Ettema Colorado State University
Witold F. Krajewski
Witold F. Krajewski University of Iowa
Frederick Stern
Frederick Stern University of Iowa
Jean-Dominique Creutin
Jean-Dominique Creutin Grenoble Alpes University
Vladimir Nikora
Vladimir Nikora University of Aberdeen
Henry Lin
Henry Lin Pennsylvania State University
Venkatesh Merwade
Venkatesh Merwade Purdue University West Lafayette
Marcelo H. Garcia
Marcelo H. Garcia University of Illinois at Urbana-Champaign
Bruce L. Rhoads
Bruce L. Rhoads University of Illinois at Urbana-Champaign
Neal E. Blair
Neal E. Blair Northwestern University

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