World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
49
Citations
9174
World Ranking
5231
National Ranking
1924

Daehyun Kim 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 Daehyun Kim 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: 141 publications — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Daehyun Kim 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 Daehyun Kim 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: 49 D-Index — 47th percentile

47% of scientists in this discipline score the same or lower.

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

Overview

Daehyun Kim is affiliated with the University of Washington in the United States and focuses research in Earth and Planetary Sciences as well as Environmental Science. Their work spans major subfields including Atmospheric Science, Global and Planetary Change, and Oceanography, with additional contributions in Aerospace Engineering and Economics and Econometrics.

The research topics covered by Daehyun Kim predominantly include Climate Variability and Models, Meteorological Phenomena and Simulations, and Tropical and Extratropical Cyclones Research. Further areas of investigation include Oceanographic and Atmospheric Processes, Atmospheric and Environmental Gas Dynamics, Atmospheric Ozone and Climate, and Ocean Waves and Remote Sensing.

Publication venues frequented by Daehyun Kim reflect these areas of expertise and include:

  • Journal of Climate
  • Geophysical Research Letters
  • npj Climate and Atmospheric Science
  • Journal of Advances in Modeling Earth Systems
  • Journal of Geophysical Research Atmospheres

Recent papers authored by or involving Daehyun Kim include:

  • "GISS-E2.1: Configurations and Climatology," 2020, Journal of Advances in Modeling Earth Systems
  • "Fifty Years of Research on the Madden-Julian Oscillation: Recent Progress, Challenges, and Perspectives," 2020, Journal of Geophysical Research Atmospheres
  • "Clouds and Convective Self-Aggregation in a Multimodel Ensemble of Radiative-Convective Equilibrium Simulations," 2020, Journal of Advances in Modeling Earth Systems
  • "MJO Propagation Across the Maritime Continent: Are CMIP6 Models Better Than CMIP5 Models?," 2020, Geophysical Research Letters
  • "CMIP6 Historical Simulations (1850-2014) With GISS-E2.1," 2020, Journal of Advances in Modeling Earth Systems

Frequent collaborators with Daehyun Kim include:

  • Eric D. Maloney
  • Suzana J. Camargo
  • Daehyun Kang
  • Yoo-Geun Ham
  • Soon-Il An

Best Publications

  • GISS-E2.1: Configurations and Climatology.

    Maxwell Kelley;Gavin A. Schmidt;Larissa S. Nazarenko;Larissa S. Nazarenko;Susanne E. Bauer

  • MJO Simulation Diagnostics

    D Waliser;K Sperber;H Hendon;D Kim

  • Application of MJO Simulation Diagnostics to Climate Models

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

  • Vertical structure and physical processes of the Madden-Julian oscillation: exploring key model physics in climate simulations

    Xianan Jiang;Xianan Jiang;Duane E. Waliser;Duane E. Waliser;Prince K. Xavier;Jon Petch

  • MJO and Convectively Coupled Equatorial Waves Simulated by CMIP5 Climate Models

    Meng-Pai Hung;Jia-Lin Lin;Wanqiu Wang;Daehyun Kim

  • The MJO as a Dispersive, Convectively Coupled Moisture Wave: Theory and Observations

    Ángel F. Adames;Daehyun Kim

  • Propagating versus Nonpropagating Madden–Julian Oscillation Events

    Daehyun Kim;Jong-Seong Kug;Adam H. Sobel

  • Moist Static Energy Budget of the MJO during DYNAMO

    Adam H. Sobel;Shuguang Wang;Daehyun Kim

  • Fifty Years of Research on the Madden-Julian Oscillation: Recent Progress, Challenges, and Perspectives

    Xianan Jiang;Xianan Jiang;Ángel F. Adames;Daehyun Kim;Eric D. Maloney

  • The MJO Transition from Shallow to Deep Convection in CloudSat/CALIPSO Data and GISS GCM Simulations

    Anthony D. Del Genio;Yonghua Chen;Daehyun Kim;Mao-Sung Yao

  • Twofold expansion of the Indo-Pacific warm pool warps the MJO life cycle.

    M. K. Roxy;M. K. Roxy;Panini Dasgupta;Panini Dasgupta;Michael J. McPhaden;Tamaki Suematsu

  • A Systematic Relationship between Intraseasonal Variability and Mean State Bias in AGCM Simulations

    Daehyun Kim;Adam H. Sobel;Eric D. Maloney;Dargan M. W. Frierson

  • Clouds and Convective Self-Aggregation in a Multimodel Ensemble of Radiative-Convective Equilibrium Simulations.

    Allison A. Wing;Catherine L. Stauffer;Tobias Becker;Kevin A. Reed

  • The Tropical Subseasonal Variability Simulated in the NASA GISS General Circulation Model

    Daehyun Kim;Adam H. Sobel;Adam H. Sobel;Anthony D. Del Genio;Yonghua Chen;Yonghua Chen

  • Predictability and Prediction Skill of the MJO in Two Operational Forecasting Systems

    Hye-Mi Kim;Peter J. Webster;Violeta E. Toma;Daehyun Kim

  • MJO simulation in CMIP5 climate models: MJO skill metrics and process-oriented diagnosis

    Min-Seop Ahn;Daehyun Kim;Kenneth R. Sperber;In-Sik Kang;In-Sik Kang

  • CMIP6 Historical Simulations (1850–2014) With GISS‐E2.1

    Ron L. Miller;Ron L. Miller;Gavin A. Schmidt;Larissa S. Nazarenko;Larissa S. Nazarenko;Susanne E. Bauer

  • MJO Propagation Across the Maritime Continent: Are CMIP6 Models Better Than CMIP5 Models?

    Min-Seop Ahn;Min-Seop Ahn;Daehyun Kim;Daehyun Kang;Jiwoo Lee

  • MJO Prediction Skill of the Subseasonal-to-Seasonal Prediction Models

    Yuna Lim;Seok-Woo Son;Daehyun Kim

  • Cluster analysis of tropical cyclone tracks in the Southern Hemisphere

    Hamish A. Ramsay;Suzana J. Camargo;Daehyun Kim

  • Characteristics of Tropical Cyclones in High-resolution Models in the Present Climate

    Daniel A. Shaevitz;Suzana J. Camargo;Adam H. Sobel;Jeffrey A. Jonas

  • The Impacts of Convective Parameterization and Moisture Triggering on AGCM-Simulated Convectively Coupled Equatorial Waves

    Jia-Lin Lin;Myong-In Lee;Daehyun Kim;In-Sik Kang

Frequent Co-Authors

Adam H. Sobel
Adam H. Sobel Lamont-Doherty Earth Observatory
In-Sik Kang
In-Sik Kang Second Institute of Oceanography
Duane E. Waliser
Duane E. Waliser Jet Propulsion Lab
Eric D. Maloney
Eric D. Maloney Colorado State University
Suzana J. Camargo
Suzana J. Camargo Lamont-Doherty Earth Observatory
Jong-Seong Kug
Jong-Seong Kug Seoul National University
Kenneth R. Sperber
Kenneth R. Sperber Lawrence Livermore National Laboratory
Ming Zhao
Ming Zhao Geophysical Fluid Dynamics Laboratory
Myong-In Lee
Myong-In Lee Ulsan National Institute of Science and Technology
Siegfried D. Schubert
Siegfried D. Schubert Goddard Space Flight Center

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