World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
36
Citations
4415
World Ranking
9180
National Ranking
3291

Toshihisa Matsui 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 Toshihisa Matsui 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: 108 publications — 17th percentile

17% of scientists in this discipline score the same or lower.

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

Toshihisa Matsui 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 Toshihisa Matsui 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: 36 D-Index — 7th percentile

7% of scientists in this discipline score the same or lower.

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

Overview

Toshihisa Matsui is affiliated with the Goddard Space Flight Center in the United States. Their research primarily focuses on Earth and Planetary Sciences, with significant contributions also in Environmental Science. Within these broad fields, Matsui's work concentrates on subfields such as Atmospheric Science, Global and Planetary Change, Oceanography, Environmental Engineering, and Astronomy and Astrophysics.

The main topics of Matsui's research include:

  • Meteorological Phenomena and Simulations
  • Atmospheric aerosols and clouds
  • Climate variability and models
  • Atmospheric chemistry and aerosols
  • Precipitation Measurement and Analysis
  • Tropical and Extratropical Cyclones Research
  • Fire effects on ecosystems

Matsui's recent published papers illustrate a focus on atmospheric processes and modeling. Notable papers include:

  • Evaluating the Impact of Assimilating Aerosol Optical Depth Observations on Dust Forecasts Over North Africa and the East Atlantic Using Different Data Assimilation Methods, 2020, Journal of Advances in Modeling Earth Systems
  • Relating Vertical Velocity and Cloud/Precipitation Properties: A Numerical Cloud Ensemble Modeling Study of Tropical Convection, 2022, Journal of Advances in Modeling Earth Systems
  • Convection Parametrization and Multi-Nesting Dependence of a Heavy Rainfall Event over Namibia with Weather Research and Forecasting (WRF) Model, 2020, Climate
  • Updraft dynamics and microphysics: on the added value of the cumulus thermal reference frame in simulations of aerosol-deep convection interactions, 2022, Atmospheric chemistry and physics
  • Evaluating Precipitation Features and Rainfall Characteristics in a Multi-Scale Modeling Framework, 2020, Journal of Advances in Modeling Earth Systems

Matsui frequently collaborates with several researchers, including:

  • Ann M. Fridlind
  • Wei-Kuo Tao
  • Daniel Hernández-Deckers
  • S. Lang
  • Xiaowen Li

Their work is published predominantly in the following venues:

  • Journal of Advances in Modeling Earth Systems
  • Atmospheric chemistry and physics
  • Climate
  • Monthly Weather Review
  • AAS Open Research

Best Publications

  • Role of atmospheric aerosol concentration on deep convective precipitation: Cloud‐resolving model simulations

    Wei-Kuo Tao;Xiaowen Li;Xiaowen Li;Alexander Khain;Toshihisa Matsui;Toshihisa Matsui

  • Effects of biomass-burning-derived aerosols on precipitation and clouds in the Amazon Basin: a satellite-based empirical study

    J. C. Lin;J. C. Lin;T. Matsui;R. A. Pielke;C. Kummerow

  • Direct observations of the effects of aerosol loading on net ecosystem CO2 exchanges over different landscapes

    Dev Niyogi;Hsin I. Chang;V. K. Saxena;Teddy Holt;Teddy Holt

  • A new paradigm for assessing the role of agriculture in the climate system and in climate change

    Roger A. Pielke;Jimmy O. Adegoke;Thomas N. Chase;Curtis H. Marshall

  • High‐resolution NU‐WRF simulations of a deep convective‐precipitation system during MC3E: Further improvements and comparisons between Goddard microphysics schemes and observations

    Wei-Kuo Tao;Di Wu;Stephen Lang;Jiun-Dar Chern;Jiun-Dar Chern

  • Satellite Data Simulator Unit: A Multisensor, Multispectral Satellite Simulator Package

    Hirohiko Masunaga;Toshihisa Matsui;Wei-kuo Tao;Arthur Y. Hou

  • Satellite-based assessment of marine low cloud variability associated with aerosol, atmospheric stability, and the diurnal cycle

    Toshihisa Matsui;Hirohiko Masunaga;Sonia M. Kreidenweis;Roger A. Pielke

  • Evaluating cloud microphysics from NICAM against CloudSat and CALIPSO

    Tempei Hashino;Masaki Satoh;Yuichiro Hagihara;Takuji Kubota

  • Integrated modeling of aerosol, cloud, precipitation and land processes at satellite-resolved scales

    Christa D. Peters-Lidard;Eric M. Kemp;Toshihisa Matsui;Joseph A. Santanello

  • Evaluation of Long-Term Cloud-Resolving Model Simulations Using Satellite Radiance Observations and Multifrequency Satellite Simulators

    Toshihisa Matsui;Xiping Zeng;Wei-Kuo Tao;Hirohiko Masunaga

  • WRF Simulations of the 20-22 January 2007 Snow Events over Eastern Canada: Comparison with In-Situ and Satellite Observations

    J. J. Shi;J. J. Shi;W.-K. Tao;T. Matsui;T. Matsui;R. Cifelli

  • Impacts of Varying Concentrations of Cloud Condensation Nuclei on Deep Convective Cloud Updrafts—A Multimodel Assessment

    Peter J. Marinescu;Susan C. van den Heever;Max Heikenfeld;Andrew I. Barrett

  • Impact of aerosols and atmospheric thermodynamics on cloud properties within the climate system

    Toshihisa Matsui;Hirohiko Masunaga;Roger A. Pielke;Wei-Kuo Tao

  • The Effects of Satellite-Derived Vegetation Cover Variability on Simulated Land–Atmosphere Interactions in the NAMS

    Toshihisa Matsui;Venkataraman Lakshmi;Eric E. Small

  • GPM Satellite Simulator over Ground Validation Sites

    Toshihisa Matsui;Takamichi Iguchi;Xiaowen Li;Mei Han

  • Evaluation of cloud microphysics schemes in simulations of a winter storm using radar and radiometer measurements

    Mei Han;Mei Han;Scott A. Braun;Toshihisa Matsui;Toshihisa Matsui;Christopher R. Williams;Christopher R. Williams

  • Introducing multisensor satellite radiance-based evaluation for regional Earth System modeling

    T. Matsui;T. Matsui;J. Santanello;J. J. Shi;J. J. Shi;W.-K. Tao

  • Global Precipitation Estimates from Cross-Track Passive Microwave Observations Using a Physically Based Retrieval Scheme

    Chris Kidd;Toshihisa Matsui;Jiundar Chern;Karen Mohr

  • Impacts of aerosol–monsoon interaction on rainfall and circulation over Northern India and the Himalaya Foothills

    William K. M. Lau;William K. M. Lau;Kyu-Myong Kim;Jainn-Jong Shi;T. Matsui

  • Impact of radiation frequency, precipitation radiative forcing, and radiation column aggregation on convection-permitting West African monsoon simulations

    Toshi Matsui;Toshi Matsui;Sara Q. Zhang;Sara Q. Zhang;Stephen E. Lang;Wei-Kuo Tao

  • "On the Land-Ocean Contrast of Tropical Convection and Microphysics Statistics Derived from TRMM Satellite Signals and Global Storm-Resolving Models".

    Toshihisa Matsui;Toshihisa Matsui;Jiun-Dar Chern;Jiun-Dar Chern;Wei-Kuo Tao;Stephen E. Lang

Frequent Co-Authors

Wei-Kuo Tao
Wei-Kuo Tao Goddard Space Flight Center
Christa D. Peters-Lidard
Christa D. Peters-Lidard Goddard Space Flight Center
Roger A. Pielke
Roger A. Pielke University of Colorado Boulder
Arthur Y. Hou
Arthur Y. Hou Goddard Space Flight Center
Mian Chin
Mian Chin Goddard Space Flight Center
Pavlos Kollias
Pavlos Kollias Stony Brook University
Ann M. Fridlind
Ann M. Fridlind Goddard Institute for Space Studies
Dev Niyogi
Dev Niyogi The University of Texas at Austin
Scott A. Braun
Scott A. Braun Goddard Space Flight Center
Ali Tokay
Ali Tokay University of Maryland, Baltimore County

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