World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
41
Citations
21850
World Ranking
7536
National Ranking
149

Akira Noda 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 Akira Noda 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: 142 publications — 37th percentile

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

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

Akira Noda 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 Akira Noda 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: 41 D-Index — 22nd percentile

22% of scientists in this discipline score the same or lower.

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

Overview

Akira Noda is affiliated with the Japan Agency for Marine-Earth Science and Technology in Japan. Their research focuses primarily on Earth and Planetary Sciences and Environmental Science, with extensive work in the subfields of Atmospheric Science, Global and Planetary Change, and Oceanography.

Their scholarly contributions are centered on topics involving meteorological phenomena and simulations, atmospheric aerosols and clouds, climate variability and models, atmospheric chemistry and aerosols, as well as tropical and extratropical cyclones research. Additional research interests include climate change impacts on agriculture and fire effects on ecosystems.

Among the recent papers authored by Noda, the following are notable:

  • The Nonhydrostatic ICosahedral Atmospheric Model for CMIP6 HighResMIP simulations (NICAM16-S): experimental design, model description, and impacts of model updates, 2021, Geoscientific model development
  • Evaluation of the contribution of tropical cyclone seeds to changes in tropical cyclone frequency due to global warming in high-resolution multi-model ensemble simulations, 2021, Progress in Earth and Planetary Science
  • How Can We Improve the Seamless Representation of Climatological Statistics and Weather Toward Reliable Global K-Scale Climate Simulations?, 2024, Journal of Advances in Modeling Earth Systems
  • Importance of Pressure Changes in High Cloud Area Feedback Due to Global Warming, 2021, Geophysical Research Letters
  • Estimated cloud-top entrainment index explains positive low-cloud-cover feedback, 2022, Proceedings of the National Academy of Sciences

Frequent co-authors collaborating with Noda include:

  • Tatsuya Seiki
  • Masaki Satoh
  • Tomoki Ohno
  • Chihiro Kodama
  • Yohei Yamada

Common publication venues for Noda's work comprise:

  • Progress in Earth and Planetary Science
  • Geophysical Research Letters
  • Journal of the Meteorological Society of Japan Ser II
  • Geoscientific model development
  • Journal of Advances in Modeling Earth Systems

Best Publications

  • Global climate projections. Chapter 10

    G A Meehl;T F Stocker;W D Collins;P Friedlingstein

  • Global climate projections

    G.A. Meehl;T. F. Stocker;W. D. Collins;P. Friedlingstein

  • Projections of Future Climate Change

    U. Cubasch;G. A. Meehl;G. J. Boer;R. J. Stouffer

  • Tropical Cyclone Climatology in a Global-Warming Climate as Simulated in a 20 km-Mesh Global Atmospheric Model: Frequency and Wind Intensity Analyses

    Kazuyoshi Oouchi;Jun Yoshimura;Hiromasa Yoshimura;Ryo Mizuta

  • The Non-hydrostatic Icosahedral Atmospheric Model: description and development

    Masaki Satoh;Masaki Satoh;Hirofumi Tomita;Hisashi Yashiro;Hiroaki Miura;Hiroaki Miura

  • Influence of the Global Warming on Tropical Cyclone Climatology: An Experiment with the JMA Global Model

    Masato Sugi;Akira Noda;Nobuo Sato

  • Controls on precipitation and cloudiness in simulations of trade-wind cumulus as observed during RICO

    Margreet C vanZanten;Bjorn Stevens;Bjorn Stevens;Louise Nuijens;Louise Nuijens;Pier Siebesma;Pier Siebesma

  • A Madden-Julian oscillation event realistically simulated by a global cloud-resolving model.

    Hiroaki Miura;Hiroaki Miura;Masaki Satoh;Masaki Satoh;Tomoe Nasuno;Tomoe Nasuno;Akira T. Noda;Akira T. Noda

  • 20-km-Mesh Global Climate Simulations Using JMA-GSM Model —Mean Climate States—

    Ryo Mizuta;Kazuyoshi Oouchi;Hiromasa Yoshimura;Akira Noda

  • Simulated Changes in the Asian Summer Monsoon at Times of Increased Atmospheric CO2

    Akio Kitoh;Seiji Yukimoto;Akira Noda;Tatsuo Motoi

  • Change of baiu rain band in global warming projection by an atmospheric general circulation model with a 20-km grid size

    Shoji Kusunoki;Jun Yoshimura;Hiromasa Yoshimura;Akira Noda

  • Influence of Greenhouse Warming on Tropical Cyclone Frequency

    Jun Yoshimura;Masato Sugi;Akira Noda

  • A 20-Year Climatology of a NICAM AMIP-Type Simulation

    Chihiro Kodama;Yohei Yamada;Akira T. Noda;Kazuyoshi Kikuchi

  • Present-day climate and climate sensitivity in the meteorological research institute coupled GCM version 2.3 (MRI-CGCM2.3)

    Seiji Yukimoto;Akira Noda;Akio Kitoh;Masahiro Hosaka

  • The New Meteorological Research Institute Coupled GCM ( MRI-CGCM 2 )---Model Climate and Variability

    Unknown

  • Madden-Julian Oscillation prediction skill of a new-generation global model demonstrated using a supercomputer.

    Tomoki Miyakawa;Masaki Satoh;Hiroaki Miura;Hirofumi Tomita

  • Importance of the subgrid-scale turbulent moist process: Cloud distribution in global cloud-resolving simulations

    Akira T. Noda;Kazuyoshi Oouchi;Masaki Satoh;Masaki Satoh;Hirofumi Tomita

  • Response of Tropical Cyclone Activity and Structure to Global Warming in a High-Resolution Global Nonhydrostatic Model

    Yohei Yamada;Masaki Satoh;Masato Sugi;Chihiro Kodama

  • Improvements of the Meteorological Research Institute Global Ocean- atmosphere Coupled GCM (MRI-CGCM2) and its climate sensitivity

    Seiji Yukimoto;Akira Noda

  • A Transient CO2 Experiment with the MRI CGCM : Quick Report

    Tatsushi Tokioka;Akira Noda;Akio Kitoh;Yoshinobu Nikaidou

  • Global Warming Patterns over the North Pacific: ENSO versus AO

    Kazuki Yamaguchi;Akira Noda

Frequent Co-Authors

Masaki Satoh
Masaki Satoh University of Tokyo
Akio Kitoh
Akio Kitoh University of Tsukuba
Ryo Mizuta
Ryo Mizuta Japan Meteorological Agency
Masato Sugi
Masato Sugi Japan Agency for Marine-Earth Science and Technology
Teruyuki Kato
Teruyuki Kato University of Tokyo
Gerald A. Meehl
Gerald A. Meehl National Center for Atmospheric Research
Ulrich Cubasch
Ulrich Cubasch Freie Universität Berlin
Sarah C. B. Raper
Sarah C. B. Raper Manchester Metropolitan University
George J. Boer
George J. Boer Environment and Climate Change Canada
Tetsuzo Yasunari
Tetsuzo Yasunari Nagoya University

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