World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
48
Citations
14734
World Ranking
5409
National Ranking
1978

Marat Khairoutdinov 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 Marat Khairoutdinov 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: 121 publications — 24th percentile

24% of scientists in this discipline score the same or lower.

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

Marat Khairoutdinov 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 Marat Khairoutdinov 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: 48 D-Index — 44th percentile

44% of scientists in this discipline score the same or lower.

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

Overview

Marat Khairoutdinov is affiliated with Stony Brook University in the United States. Their research primarily focuses on the Earth and Planetary Sciences, with significant contributions to related fields including Engineering and Environmental Science. Within these areas, their work involves subfields such as Atmospheric Science, Global and Planetary Change, Mechanical Engineering, Computational Mechanics, and Oceanography.

The scientist's research topics cover a range of atmospheric and environmental phenomena, including Meteorological Phenomena and Simulations, Climate Variability and Models, Atmospheric Chemistry and Aerosols, Tropical and Extratropical Cyclones Research, Atmospheric Aerosols and Clouds, Ocean Waves and Remote Sensing, and Heat Transfer and Boiling Studies.

Frequent coauthors collaborating with Khairoutdinov are:

  • Christopher S. Bretherton
  • Peter N. Blossey
  • Hadi Zanganeh Kia
  • Yang Fan
  • Raymond A. Shaw

Khairoutdinov has published multiple papers in various scientific journals. Notable recent publications include:

  • Clouds and Convective Self-Aggregation in a Multimodel Ensemble of Radiative-Convective Equilibrium Simulations, 2020, Journal of Advances in Modeling Earth Systems
  • Tropical Cyclones in Global Storm-Resolving Models, 2021, Journal of the Meteorological Society of Japan Ser II
  • Global System for Atmospheric Modeling: Model Description and Preliminary Results, 2022, Journal of Advances in Modeling Earth Systems
  • Mind the gap - Part 2: Improving quantitative estimates of cloud and rain water path in oceanic warm rain using spaceborne radars, 2020, Atmospheric Measurement Techniques
  • Hallett-Mossop Rime Splintering Dims Cumulus Clouds Over the Southern Ocean: New Insight From Nudged Global Storm-Resolving Simulations, 2022, AGU Advances

The journals where Khairoutdinov frequently publishes include:

  • Journal of Advances in Modeling Earth Systems
  • SSRN Electronic Journal
  • Journal of the Meteorological Society of Japan Ser II
  • Atmospheric Measurement Techniques
  • AGU Advances

Best Publications

  • Cloud resolving modeling of the ARM summer 1997 IOP: Model formulation, results, uncertainties, and sensitivities

    Marat F. Khairoutdinov;David A. Randall

  • A New Cloud Physics Parameterization in a Large-Eddy Simulation Model of Marine Stratocumulus

    Marat Khairoutdinov;Yefim Kogan

  • Breaking the Cloud Parameterization Deadlock

    David Randall;Marat Khairoutdinov;Akio Arakawa;Wojciech Grabowski

  • A Large Eddy Simulation Intercomparison Study of Shallow Cumulus Convection

    A. Pier Siebesma;Christopher S. Bretherton;Andrew Brown;Andreas Chlond

  • Evaluation of Large-Eddy Simulations via Observations of Nocturnal Marine Stratocumulus

    Bjorn Stevens;Chin-Hoh Moeng;Andrew S. Ackerman;Christopher S. Bretherton

  • An intercomparison of large-eddy simulations of the stable boundary layer

    Robert J. Beare;Malcolm K. Macvean;Albert A.M. Holtslag;Joan Cuxart

  • An Energy-Balance Analysis of Deep Convective Self-Aggregation above Uniform SST

    Christopher S. Bretherton;Peter N. Blossey;Marat Khairoutdinov

  • DYAMOND: the DYnamics of the Atmospheric general circulation Modeled On Non-hydrostatic Domains

    Bjorn Stevens;Masaki Satoh;Ludovic Auger;Joachim Biercamp

  • A cloud resolving model as a cloud parameterization in the NCAR Community Climate System Model: Preliminary results

    Marat F. Khairoutdinov;David A. Randall

  • Simulations of the Atmospheric General Circulation Using a Cloud-Resolving Model as a Superparameterization of Physical Processes

    Marat Khairoutdinov;David Randall;Charlotte DeMott

  • Application of MJO Simulation Diagnostics to Climate Models

    D. Kim;K. Sperber;W. Stern;D. Waliser

  • High-Resolution Simulation of Shallow-to-Deep Convection Transition over Land

    Marat Khairoutdinov;David Randall

  • Large‐eddy simulation of the diurnal cycle of shallow cumulus convection over land

    A. R. Brown;R. T. Cederwall;A. Chlond;P. G. Duynkerke

  • Controls on precipitation and cloudiness in simulations of trade-wind cumulus as observed during RICO

    Margreet C vanZanten;Bjorn Stevens;Bjorn Stevens;Louise Nuijens;Louise Nuijens;Pier Siebesma;Pier Siebesma

  • Intercomparison of model simulations of mixed-phase clouds observed during the ARM Mixed-Phase Arctic Cloud Experiment. I: single-layer cloud

    Stephen A. Klein;Renata B. McCoy;Hugh Morrison;Andrew S. Ackerman

  • Global Cloud-Resolving Models

    Masaki Satoh;Bjorn Stevens;Falko Judt;Marat Khairoutdinov

  • Large-Eddy Simulations of a Drizzling, Stratocumulus-Topped Marine Boundary Layer

    Andrew S. Ackerman;Margreet C. Vanzanten;Bjorn Stevens;Verica Savic-Jovcic

  • Daytime convective development over land: A model intercomparison based on LBA observations

    W. W. Grabowski;P. Bechtold;A. Cheng;R. Forbes

  • An intercomparison of cloud-resolving models with the atmospheric radiation measurement summer 1997 intensive observation period data

    Kuan Man Xu;Richard T. Cederwall;Leo J. Donner;Wojciech W. Grabowski

  • Stochastic generation of subgrid-scale cloudy columns for large-scale models

    Petri Räisänen;Howard W. Barker;Marat F. Khairoutdinov;Jiangnan Li

Frequent Co-Authors

David A. Randall
David A. Randall Colorado State University
Christopher S. Bretherton
Christopher S. Bretherton University of Washington
Bjorn Stevens
Bjorn Stevens Max Planck Society
Minghua Zhang
Minghua Zhang Stony Brook University
Kuan-Man Xu
Kuan-Man Xu Langley Research Center
Jean-Christophe Golaz
Jean-Christophe Golaz Lawrence Livermore National Laboratory
Shaocheng Xie
Shaocheng Xie Lawrence Livermore National Laboratory
Duane E. Waliser
Duane E. Waliser Jet Propulsion Lab
Steven K. Krueger
Steven K. Krueger University of Utah
Lazaros Oreopoulos
Lazaros Oreopoulos Goddard Space Flight Center

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