World's Best Scientists 2026 revealed!
Masahide Kimoto

Masahide Kimoto

D-Index & Metrics

Environmental Sciences

D-Index
66
Citations
21872
World Ranking
2043
National Ranking
22

Masahide Kimoto 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 Masahide Kimoto 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: 232 publications — 74th percentile

74% of scientists in this discipline score the same or lower.

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

Masahide Kimoto 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 Masahide Kimoto 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: 66 D-Index — 79th percentile

79% of scientists in this discipline score the same or lower.

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

Overview

Masahide Kimoto is affiliated with the University of Tokyo in Japan and specializes in Environmental Science and Earth and Planetary Sciences. Their research primarily focuses on climate variability and models as well as meteorological phenomena and simulations.

Their work covers important topics including:

  • Climate variability and models
  • Meteorological Phenomena and Simulations
  • Arctic and Antarctic ice dynamics
  • Plant Water Relations and Carbon Dynamics
  • Atmospheric and Environmental Gas Dynamics
  • Water-Energy-Food Nexus Studies
  • Hydrology and Watershed Management Studies

Kimoto has published research extensively in several frequent venues, such as:

  • Bulletin of the American Meteorological Society
  • Nature Climate Change
  • American Journal of Respiratory and Critical Care Medicine
  • Nature
  • Journal of Advances in Modeling Earth Systems

Recent notable papers include:

  • North Atlantic climate far more predictable than models imply, 2020, Nature
  • Seasonal to Decadal Predictions With MIROC6: Description and Basic Evaluation, 2020, Journal of Advances in Modeling Earth Systems
  • Explaining and Predicting Earth System Change: A World Climate Research Programme Call to Action, 2022, Bulletin of the American Meteorological Society
  • Critical hydrologic impacts from climate change: addressing an urgent global need, 2024, Sustainability Science
  • Reply to: Eurasian cooling in response to Arctic sea-ice loss is not proved by maximum covariance analysis, 2021, Nature Climate Change

Their collaboration network includes frequent co-authors such as:

  • Doug Smith
  • Masahiro Watanabe
  • Takashi Mochizuki
  • Hisashi Nakamura
  • Adam A. Scaife

Kimoto's subfield contributions are particularly prominent in:

  • Global and Planetary Change
  • Atmospheric Science
  • Water Science and Technology
  • Sociology and Political Science
  • Pulmonary and Respiratory Medicine

Best Publications

  • Improved Climate Simulation by MIROC5: Mean States, Variability, and Climate Sensitivity

    Masahiro Watanabe;Tatsuo Suzuki;Ryouta O'Ishi;Yoshiki Komuro

  • Near-term climate change: Projections and predictability

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

  • Impact of El Niño on the East Asian Monsoon A Diagnostic Study of the '86/87 and '91/92 Events

    Renhe Zhang;Renhe Zhang;Akimasa Sumi;Masahide Kimoto

  • Description and basic evaluation of simulated mean state, internal variability, and climate sensitivity in MIROC6

    Hiroaki Tatebe;Tomoo Ogura;Tomoko Nitta;Yoshiki Komuro

  • Robust Arctic sea-ice influence on the frequent Eurasian cold winters in past decades

    Masato Mori;Masahiro Watanabe;Hideo Shiogama;Jun Inoue

  • Decadal Prediction: Can It Be Skillful?

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

  • A diagnostic study of the impact of El Niño on the precipitation in China

    Renhe Zhang;Akimasa Sumi;Masahide Kimoto

  • Reevaluation of historical ocean heat content variations with time-varying XBT and MBT depth bias corrections

    Masayoshi Ishii;Masahide Kimoto

  • Decadal Climate Prediction: An Update from the Trenches

    Gerald A. Meehl;Lisa Goddard;George Boer;Robert Burgman

  • Global projections of changing risks of floods and droughts in a changing climate

    Yukiko Hirabayashi;Shinjiro Kanae;Seita Emori;Taikan Oki

  • Atmosphere-ocean thermal coupling in the North Atlantic: A positive feedback

    M. Watanabe;M. Kimoto

  • Over 5,000 years of ensemble future climate simulations by 60-km global and 20-km regional atmospheric models

    Ryo Mizuta;Akihiko Murata;Masayoshi Ishii;Hideo Shiogama

  • Steric sea level changes estimated from historical ocean subsurface temperature and salinity analyses

    Masayoshi Ishii;Masahide Kimoto;Kenji Sakamoto;Sin-Iti Iwasaki

  • STOIC: a study of coupled model climatology and variability in tropical ocean regions

    M. K. Davey;M. Huddleston;K. R. Sperber;P. Braconnot

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

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

  • Multiple Flow Regimes in the Northern Hemisphere Winter. Part I: Methodology and Hemispheric Regimes

    Masahide Kimoto;Michael Ghil

  • ENSIP: The El Niño simulation intercomparison project

    Mojib Latif;K. Sperber;J. Arblaster;P. Braconnot

  • Initialized near-term regional climate change prediction

    F. J. Doblas-Reyes;I. Andreu-Burillo;Y. Chikamoto;J. García-Serrano

  • A reconciled estimate of the influence of Arctic sea-ice loss on recent Eurasian cooling

    Masato Mori;Yu Kosaka;Masahiro Watanabe;Hisashi Nakamura

  • Future climate change: Implications for Indian summer monsoon and its variability

    Lal Murari;T. Nozawa;S. Emori;H. Harasawa

  • Robust skill of decadal climate predictions

    D. M. Smith;R. Eade;A. A. Scaife;A. A. Scaife;L.-P. Caron

  • Explaining Extreme Events of 2012 from a Climate Perspective

    T.C. Peterson;L.V. Alexander;M.R. Allen;J.A. Anel;J.A. Anel

Frequent Co-Authors

Masayoshi Ishii
Masayoshi Ishii Japan Meteorological Agency
Hideo Shiogama
Hideo Shiogama National Institute for Environmental Studies
Seita Emori
Seita Emori University of Tokyo
Toru Nozawa
Toru Nozawa Okayama University
Youichi Kamae
Youichi Kamae University of Tsukuba
Masahiro Watanabe
Masahiro Watanabe University of Yamanashi
Hisashi Nakamura
Hisashi Nakamura University of Tokyo
Gerald A. Meehl
Gerald A. Meehl National Center for Atmospheric Research
Francisco J. Doblas-Reyes
Francisco J. Doblas-Reyes Barcelona Supercomputing Center
Adam A. Scaife
Adam A. Scaife Met Office

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