World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
74
Citations
25344
World Ranking
1322
National Ranking
563

Ben P. Kirtman 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 Ben P. Kirtman 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: 290 publications — 84th percentile

84% of scientists in this discipline score the same or lower.

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

Ben P. Kirtman 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 Ben P. Kirtman 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: 74 D-Index — 87th percentile

87% of scientists in this discipline score the same or lower.

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

Overview

Ben P. Kirtman is affiliated with the University of Miami in the United States. Their research is primarily situated within Earth and Planetary Sciences and Environmental Science, with a significant focus on subfields such as Global and Planetary Change, Atmospheric Science, Oceanography, Geology, and Nature and Landscape Conservation.

The main topics addressed in their work include Climate variability and models, Meteorological Phenomena and Simulations, Oceanographic and Atmospheric Processes, Tropical and Extratropical Cyclones Research, Atmospheric and Environmental Gas Dynamics, Marine and coastal ecosystems, and Ocean Waves and Remote Sensing.

Among the recent papers associated with their field of study are:

  • Windows of Opportunity for Skillful Forecasts Subseasonal to Seasonal and Beyond (2020, Bulletin of the American Meteorological Society)
  • Current and Emerging Developments in Subseasonal to Decadal Prediction (2020, Bulletin of the American Meteorological Society)
  • Initialized Earth System prediction from subseasonal to decadal timescales (2021, Nature Reviews Earth & Environment)
  • Ocean warming alters the distributional range, migratory timing, and spatial protections of an apex predator, the tiger shark (Galeocerdo cuvier) (2022, Global Change Biology)
  • Evolution of the North American Multi-Model Ensemble (2020, Geophysical Research Letters)

Their frequent co-authors include:

  • Emily Becker
  • Léo Siqueira
  • Houraa Daher
  • Kathy Pegion
  • Sang-Wook Yeh

Their work is often published in the following venues:

  • Climate Dynamics
  • Journal of Climate
  • Weather and Forecasting
  • Bulletin of the American Meteorological Society
  • Journal of Geophysical Research Atmospheres

Best Publications

  • El Niño in a changing climate

    Sang Wook Yeh;Jong Seong Kug;Boris Dewitte;Min Ho Kwon

  • Near-term climate change: Projections and predictability

    Ben Kirtman;Scott B. Power;Akintayo John Adedoyin;George J. Boer

  • Understanding ENSO Diversity

    Antonietta Capotondi;Andrew T. Wittenberg;Matthew Newman;Emanuele Di Lorenzo

  • The North American multimodel ensemble: Phase-1 seasonal-to-interannual prediction; phase-2 toward developing intraseasonal prediction

    Ben P. Kirtman;Dughong Min;Johnna M. Infanti;James L. Kinter

  • Decadal Prediction: Can It Be Skillful?

    Gerald A. Meehl;Lisa M. Goddard;James Murphy;Ronald J. Stouffer

  • Evolution of ENSO-Related Rainfall Anomalies in East Asia

    Renguang Wu;Zeng Zhen Hu;Ben P. Kirtman

  • The Seasonal Cycle over the Tropical Pacific in Coupled Ocean Atmosphere General Circulation Models

    C.R. Mechoso;A.W. Robertson;N. Barth;M.K. Davey

  • Current status of ENSO prediction skill in coupled ocean-atmosphere models

    Emilia K. Jin;James L. Kinter;B. Wang;C.-K. Park

  • A Summary of the CMIP5 Experiment Design

    Karl E. Taylor;Ronald J. Stouffer;Gerald A. Meehl;Peter Cox

  • Advance and prospectus of seasonal prediction: assessment of the APCC/CliPAS 14-model ensemble retrospective seasonal prediction (1980–2004)

    Bin Wang;June Yi Lee;In Sik Kang;J. Shukla

  • The Decadal Climate Prediction Project (DCPP) contribution to CMIP6

    George J. Boer;Douglas M. Smith;Christophe Cassou;Francisco Doblas-Reyes

  • A verification framework for interannual-to-decadal predictions experiments

    L. Goddard;A. Kumar;A. Solomon;D. Smith

  • A U.S. CLIVAR Project to Assess and Compare the Responses of Global Climate Models to Drought-Related SST Forcing Patterns: Overview and Results

    Siegfried Schubert;David Gutzler;Hailan Wang;Hailan Wang;Aiguo Dai

  • Climate Response of the Equatorial Pacific to Global Warming

    Pedro N. DiNezio;Amy C. Clement;Gabriel Andres Vecchi;Brian J. Soden

  • North American Climate in CMIP5 Experiments: Part III: Assessment of Twenty-First-Century Projections*

    Eric D. Maloney;Suzana J. Camargo;Edmund Chang;Brian Colle

  • Decadal Variability in ENSO Predictability and Prediction

    Ben P. Kirtman;Paul S. Schopf

  • Windows of opportunity for skillful forecasts subseasonal to seasonal and beyond

    Annarita Mariotti;Cory Baggett;Elizabeth A. Barnes;Emily Becker

  • The Subseasonal Experiment (SubX): A Multimodel Subseasonal Prediction Experiment

    Kathy Pegion;Ben P. Kirtman;Emily Becker;Dan C. Collins

  • Local Air–Sea Relationship in Observations and Model Simulations

    Renguang Wu;Ben P. Kirtman;Kathy Pegion

  • Impact of ocean model resolution on CCSM climate simulations

    Ben P. Kirtman;Cecilia Bitz;Frank Bryan;William Collins

  • Current and emerging developments in subseasonal to decadal prediction

    William J. Merryfield;Johanna Baehr;Lauriane Batté;Emily J. Becker

  • Roles of Indian and Pacific Ocean air–sea coupling in tropical atmospheric variability

    Renguang Wu;Ben P. Kirtman

  • Erratum: El Niño in a changing climate

    Sang Wook Yeh;Jong Seong Kug;Boris Dewitte;Min Ho Kwon

Frequent Co-Authors

Sang-Wook Yeh
Sang-Wook Yeh Hanyang University
Renguang Wu
Renguang Wu Zhejiang University
Edwin K. Schneider
Edwin K. Schneider George Mason University
Gerald A. Meehl
Gerald A. Meehl National Center for Atmospheric Research
James L. Kinter
James L. Kinter George Mason University
Paul A. Dirmeyer
Paul A. Dirmeyer George Mason University
Jagadish Shukla
Jagadish Shukla George Mason University
In-Sik Kang
In-Sik Kang Second Institute of Oceanography
Francisco J. Doblas-Reyes
Francisco J. Doblas-Reyes Barcelona Supercomputing Center
Doug Smith
Doug Smith Met Office

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