World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
50
Citations
13774
World Ranking
4872
National Ranking
1793

Mark D. Zelinka 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 Mark D. Zelinka 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: 129 publications — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Mark D. Zelinka 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 Mark D. Zelinka 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: 50 D-Index — 50th percentile

50% of scientists in this discipline score the same or lower.

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

Overview

Mark D. Zelinka is affiliated with the Lawrence Livermore National Laboratory in the United States. Their research primarily focuses on environmental science with a significant emphasis on earth and planetary sciences. Zelinka has contributed extensively to the understanding of climate variability, atmospheric processes, and the dynamics of planetary change.

The main areas of study include:

  • Environmental Science
  • Earth and Planetary Sciences

Within these broader fields, Zelinka's work concentrates on subfields such as:

  • Global and Planetary Change
  • Atmospheric Science
  • Oceanography
  • Sociology and Political Science
  • Renewable Energy, Sustainability and the Environment

The research topics covered include:

  • Climate variability and models
  • Atmospheric and Environmental Gas Dynamics
  • Meteorological Phenomena and Simulations
  • Atmospheric aerosols and clouds
  • Atmospheric chemistry and aerosols
  • Arctic and Antarctic ice dynamics
  • Atmospheric Ozone and Climate

Zelinka's recent scientific publications showcase a focus on climate sensitivity and cloud feedback mechanisms. Notable papers include:

  • Causes of Higher Climate Sensitivity in CMIP6 Models (2020), published in Geophysical Research Letters
  • An Assessment of Earth's Climate Sensitivity Using Multiple Lines of Evidence (2020), Reviews of Geophysics
  • Climate simulations: recognize the 'hot model' problem (2022), Nature
  • Observational constraints on low cloud feedback reduce uncertainty of climate sensitivity (2021), Nature Climate Change
  • Intermodel Spread in the Pattern Effect and Its Contribution to Climate Sensitivity in CMIP5 and CMIP6 Models (2020), Journal of Climate

The frequent publication venues reflect the primary platforms for their research dissemination. These include:

  • Geophysical Research Letters
  • Journal of Climate
  • Journal of Geophysical Research Atmospheres
  • Geoscientific Model Development
  • Nature Climate Change

Zelinka has collaborated regularly with several researchers, among them:

  • Stephen A. Klein
  • Timothy A. Myers
  • Daniel T. McCoy
  • Yi Qin
  • Ivy Tan

Best Publications

  • Causes of Higher Climate Sensitivity in CMIP6 Models

    Mark D. Zelinka;Timothy A. Myers;Daniel T. McCoy;Stephen Po‐Chedley

  • An assessment of Earth's climate sensitivity using multiple lines of evidence

    S C Sherwood;M J Webb;J D Annan;K C Armour

  • The DOE E3SM Coupled Model Version 1: Overview and Evaluation at Standard Resolution

    Jean Christophe Golaz;Peter M. Caldwell;Luke P. Van Roekel;Mark R. Petersen

  • Climate simulations: recognize the ‘hot model’ problem

    Unknown

  • Observational constraints on mixed-phase clouds imply higher climate sensitivity

    Ivy Tan;Trude Storelvmo;Mark D. Zelinka

  • Volcanic contribution to decadal changes in tropospheric temperature

    Benjamin D. Santer;Céline Bonfils;Jeffrey F. Painter;Mark D. Zelinka

  • Evidence for climate change in the satellite cloud record

    Joel R. Norris;Robert J. Allen;Amato T. Evan;Mark D. Zelinka

  • Cloud feedback mechanisms and their representation in global climate models

    Paulo Ceppi;Florent Brient;Mark D. Zelinka;Dennis L. Hartmann

  • Evaluating adjusted forcing and model spread for historical and future scenarios in the CMIP5 generation of climate models

    Piers M. Forster;Timothy Andrews;Peter Good;Jonathan M. Gregory;Jonathan M. Gregory

  • Why is longwave cloud feedback positive

    Mark D. Zelinka;Dennis L. Hartmann

  • Computing and Partitioning Cloud Feedbacks Using Cloud Property Histograms. Part I: Cloud Radiative Kernels

    Mark D. Zelinka;Stephen A. Klein;Dennis L. Hartmann

  • Impact of decadal cloud variations on the Earth/'s energy budget

    Chen Zhou;Mark D. Zelinka;Stephen A. Klein

  • Contributions of Different Cloud Types to Feedbacks and Rapid Adjustments in CMIP5

    Mark D. Zelinka;Stephen A. Klein;Karl E. Taylor;Timothy Andrews

  • Computing and Partitioning Cloud Feedbacks Using Cloud Property Histograms. Part II: Attribution to Changes in Cloud Amount, Altitude, and Optical Depth

    Mark D. Zelinka;Stephen A. Klein;Dennis L. Hartmann

  • Are climate model simulations of clouds improving? An evaluation using the ISCCP simulator

    Stephen A. Klein;Yuying Zhang;Mark D. Zelinka;Robert Pincus

  • Observational constraints on low cloud feedback reduce uncertainty of climate sensitivity

    Timothy A. Myers;Ryan C. Scott;Mark D. Zelinka;Stephen A. Klein

  • Insights from a refined decomposition of cloud feedbacks

    Mark D. Zelinka;Chen Zhou;Stephen A. Klein

  • Quantifying components of aerosol-cloud-radiation interactions in climate models

    Mark D. Zelinka;Timothy Andrews;Piers M. Forster;Karl E. Taylor

  • On the relationships among cloud cover, mixed-phase partitioning, and planetary albedo in GCMs

    Daniel T. McCoy;Ivy Tan;Dennis L. Hartmann;Mark D. Zelinka

  • Mixed‐phase cloud physics and Southern Ocean cloud feedback in climate models

    Daniel T. McCoy;Dennis L. Hartmann;Mark D. Zelinka;Paulo Ceppi;Paulo Ceppi

  • Statistical significance of climate sensitivity predictors obtained by data mining

    Peter M. Caldwell;Christopher S. Bretherton;Mark D. Zelinka;Stephen A. Klein

  • Climate Feedbacks and Their Implications for Poleward Energy Flux Changes in a Warming Climate

    Mark D. Zelinka;Dennis L. Hartmann

Frequent Co-Authors

Stephen A. Klein
Stephen A. Klein Lawrence Livermore National Laboratory
Dennis L. Hartmann
Dennis L. Hartmann University of Washington
Benjamin D. Santer
Benjamin D. Santer Woods Hole Oceanographic Institution
Karl E. Taylor
Karl E. Taylor Lawrence Livermore National Laboratory
Céline Bonfils
Céline Bonfils Lawrence Livermore National Laboratory
Joel R. Norris
Joel R. Norris University of California, San Diego
Carl A. Mears
Carl A. Mears Remote Sensing Systems (United States)
Andrew E. Dessler
Andrew E. Dessler Texas A&M University

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