World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
44
Citations
15627
World Ranking
6581
National Ranking
2345

Benjamin M. Sanderson 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 Benjamin M. Sanderson 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: 282 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: 26 scientists 501–510 publications: 17 scientists 511–520 publications: 19 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 681–689 publications: 4 scientists 690+ publications: 100 scientists
41 publications 690+

This scientist: 90 publications — 9th percentile

9% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 690 publications or more.

Benjamin M. Sanderson 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 Benjamin M. Sanderson 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: 198 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: 20 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: 9 scientists 126+ D-Index: 92 scientists
30 D-Index 126+

This scientist: 44 D-Index — 32nd percentile

32% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 126 D-Index or more.

Overview

Benjamin M. Sanderson is affiliated with the National Center for Atmospheric Research in the United States. Their research spans across Environmental Science with significant contributions in subfields such as Global and Planetary Change, Economics and Econometrics, Atmospheric Science, Health, Toxicology and Mutagenesis, and Renewable Energy, Sustainability and the Environment.

The scientist's work covers several primary topics, including:

  • Atmospheric and Environmental Gas Dynamics
  • Climate variability and models
  • Climate Change Policy and Economics
  • Climate Change and Geoengineering
  • Meteorological Phenomena and Simulations
  • Climate Change and Health Impacts
  • Atmospheric chemistry and aerosols

Benjamin M. Sanderson has published in various venues frequently. The most common publication venues include:

  • Earth System Dynamics
  • Geoscientific Model Development
  • Clinical Oncology
  • Nature
  • Nature Climate Change

Selected recent papers are:

  • "Climate model projections from the Scenario Model Intercomparison Project (ScenarioMIP) of CMIP6," 2021, Earth System Dynamics
  • "A machine learning approach to emulation and biophysical parameter estimation with the Community Land Model, version 5," 2020, Advances in Statistical Climatology, Meteorology and Oceanography
  • "Overconfidence in climate overshoot," 2024, Nature
  • "A fiery wake-up call for climate science," 2020, Nature Climate Change
  • "Assessing the costs of historical inaction on climate change," 2020, Scientific Reports

Their frequent coauthors, often collaborating on climate and environmental studies, include:

  • Roland Séférian
  • Zebedee Nicholls
  • Rosie A. Fisher
  • Charles D. Koven
  • David M. Lawrence

Best Publications

  • The Scenario Model Intercomparison Project (ScenarioMIP) for CMIP6

    Brian C. O'Neill;Claudia Tebaldi;Detlef P. Van Vuuren;Detlef P. Van Vuuren;Veronika Eyring

  • The Community Land Model version 5 : description of new features, benchmarking, and impact of forcing uncertainty

    David M. Lawrence;Rosie A. Fisher;Charles D. Koven;Keith W. Oleson

  • Taking climate model evaluation to the next level

    Veronika Eyring;Veronika Eyring;Peter M. Cox;Gregory M. Flato;Peter J. Gleckler

  • Climate model projections from the Scenario Model Intercomparison Project (ScenarioMIP) of CMIP6

    Claudia Tebaldi;Kevin Debeire;Veronika Eyring;Veronika Eyring;Erich Fischer

  • Precipitation variability increases in a warmer climate

    Angeline G. Pendergrass;Reto Knutti;Reto Knutti;Flavio Lehner;Clara Deser

  • A climate model projection weighting scheme accounting for performance and interdependence

    Reto Knutti;Reto Knutti;Jan Sedláček;Benjamin M. Sanderson;Ruth Lorenz

  • Climate Science Special Report: Fourth National Climate Assessment (NCA4), Volume I

    Donald J. Wuebbles;David W. Fahey;Kathy A. Hibbard;Jeff R. Arnold

  • A Representative Democracy to Reduce Interdependency in a Multimodel Ensemble

    Benjamin M. Sanderson;Reto Knutti;Peter Caldwell

  • Climate System Response to External Forcings and Climate Change Projections in CCSM4

    Gerald A Meehl;Warren M Washington;Julie Michelle Arblaster;Aixue Hu

  • Projected drought risk in 1.5°C and 2°C warmer climates

    Flavio Lehner;Sloan John Coats;Thomas F. Stocker;Thomas F. Stocker;Angeline G. Pendergrass

  • Climate Change Projections in CESM1(CAM5) Compared to CCSM4

    Gerald A. Meehl;Warren M. Washington;Julie M. Arblaster;Aixue Hu

  • What would it take to achieve the Paris temperature targets

    Benjamin M. Sanderson;Brian C. O'Neill;Claudia Tebaldi

  • Towards constraining climate sensitivity by linear analysis of feedback patterns in thousands of perturbed-physics GCM simulations

    Benjamin M. Sanderson;C. Piani;W. J. Ingram;W. J. Ingram;D. A. Stone

  • Skill and independence weighting for multi-model assessments

    Benjamin M. Sanderson;Michael Wehner;Reto Knutti;Reto Knutti

  • Community climate simulations to assess avoided impacts in 1.5 and 2 °C futures

    Benjamin M. Sanderson;Yangyang Xu;Claudia Tebaldi;Michael Wehner

  • Addressing interdependency in a multimodel ensemble by interpolation of model properties

    Benjamin M. Sanderson;Reto Knutti;Peter Caldwell

  • Broad range of 2050 warming from an observationally constrained large climate model ensemble

    Daniel J Rowlands;Daniel J Rowlands;David J Frame;Duncan Ackerley;Duncan Ackerley;Tolu Aina

  • Statistical significance of climate sensitivity predictors obtained by data mining

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

  • Selecting a climate model subset to optimise key ensemble properties

    Nadja Herger;Gab Abramowitz;Reto Knutti;Reto Knutti;Oliver Angélil

  • Does extreme precipitation intensity depend on the emissions scenario

    Angeline G. Pendergrass;Flavio Lehner;Benjamin M. Sanderson;Yangyang Xu

Frequent Co-Authors

Reto Knutti
Reto Knutti ETH Zurich
Rosie A. Fisher
Rosie A. Fisher National Center for Atmospheric Research
Flavio Lehner
Flavio Lehner Cornell University
Brian C. O'Neill
Brian C. O'Neill Pacific Northwest National Laboratory
David M. Lawrence
David M. Lawrence National Center for Atmospheric Research
William Ingram
William Ingram University of Oxford
Claudia Tebaldi
Claudia Tebaldi Pacific Northwest National Laboratory
Michael F. Wehner
Michael F. Wehner Lawrence Berkeley National Laboratory
Myles R. Allen
Myles R. Allen University of Oxford
Gerald A. Meehl
Gerald A. Meehl National Center for Atmospheric Research

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