World's Best Scientists 2026 revealed!
Tomomichi Kato

Tomomichi Kato

D-Index & Metrics

Environmental Sciences

D-Index
37
Citations
10509
World Ranking
8756
National Ranking
179

Tomomichi Kato 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 Tomomichi Kato 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: 104 publications — 15th percentile

15% of scientists in this discipline score the same or lower.

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

Tomomichi Kato 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 Tomomichi Kato 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: 37 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Overview

Tomomichi Kato is affiliated with Hokkaido University in Japan and specializes in Environmental Science. Their research spans various subfields including Global and Planetary Change, Ecology, Nature and Landscape Conservation, Environmental Engineering, and Plant Science.

The scientific topics frequently addressed in Kato's work encompass Plant Water Relations and Carbon Dynamics, Remote Sensing in Agriculture, Atmospheric and Environmental Gas Dynamics, Remote Sensing and LiDAR Applications, Forest Ecology and Management, Plant Responses to Elevated CO2, and Fluid Dynamics and Turbulent Flows.

Kato has published multiple recent papers, covering diverse aspects of environmental and agricultural sciences. Notable publications include:

  • Modeling the impacts of diffuse light fraction on photosynthesis in ORCHIDEE (v5453) land surface model, 2020, Geoscientific Model Development
  • The effect of relative humidity on eddy covariance latent heat flux measurements and its implication for partitioning into transpiration and evaporation, 2023, Agricultural and Forest Meteorology
  • Estimation of Forest Aboveground Biomass of Two Major Conifers in Ibaraki Prefecture, Japan, from PALSAR-2 and Sentinel-2 Data, 2022, Remote Sensing
  • High-resolution mapping of forest structure and carbon stock using multi-source remote sensing data in Japan, 2024, Remote Sensing of Environment
  • Row orientation influences the diurnal cycle of solar-induced chlorophyll fluorescence emission from wheat canopy, as demonstrated by radiative transfer modeling, 2023, Agricultural and Forest Meteorology

Kato collaborates frequently with several researchers including Hantao Li, Tomoki Morozumi, Naohisa Nakashima, Masato Hayashi, and Lea Végh. These collaborations have contributed to a steady publication record across multiple scientific venues.

Common publication venues for Kato include:

  • Geoscientific Model Development
  • Zenodo (CERN European Organization for Nuclear Research)
  • SSRN Electronic Journal
  • Agricultural and Forest Meteorology
  • Scientific Data

Best Publications

  • Climate–Carbon Cycle Feedback Analysis: Results from the C4MIP Model Intercomparison

    Pierre Friedlingstein;P. Cox;Richard A. Betts;Laurent Bopp

  • The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data

    Gilberto Pastorello;Carlo Trotta;Eleonora Canfora;Housen Chu

  • Temperature and biomass influences on interannual changes in CO2 exchange in an alpine meadow on the Qinghai‐Tibetan Plateau

    Tomomichi Kato;Yanhong Tang;Song Gu;Mitsuru Hirota

  • Global comparison of light use efficiency models for simulating terrestrial vegetation gross primary production based on the LaThuile database

    Wenping Yuan;Wenwen Cai;Jiangzhou Xia;Jiquan Chen

  • Forest biomass carbon sinks in East Asia, with special reference to the relative contributions of forest expansion and forest growth

    Jingyun Fang;Jingyun Fang;Zhaodi Guo;Zhaodi Guo;Huifeng Hu;Tomomichi Kato

  • Carbon fluxes, evapotranspiration, and water use efficiency of terrestrial ecosystems in China

    Jingfeng Xiao;Ge Sun;Jiquan Chen;Jiquan Chen;Hui Chen

  • Carbon dioxide exchange between the atmosphere and an alpine meadow ecosystem on the Qinghai–Tibetan Plateau, China

    Tomomichi Kato;Yanhong Tang;Song Gu;Xiaoyong Cui

  • Methane emissions from different vegetation zones in a Qinghai-Tibetan Plateau wetland

    Mitsuru Hirota;Yanhong Tang;Qiwu Hu;Shigeki Hirata

  • Evidence for environmentally enhanced forest growth

    Jingyun Fang;Jingyun Fang;Tomomichi Kato;Zhaodi Guo;Yuanhe Yang

  • Energy exchange between the atmosphere and a meadow ecosystem on the Qinghai-Tibetan Plateau

    Song Gu;Song Gu;Yanhong Tang;Xiaoyong Cui;Tomomichi Kato

  • Estimation of evapotranspiration, transpiration ratio and water-use efficiency from a sparse canopy using a compartment model

    Tomomichi Kato;Reiji Kimura;Makio Kamichika

  • Temperature controls ecosystem CO2 exchange of an alpine meadow on the northeastern Tibetan Plateau

    Makoto Saito;Tomomichi Kato;Yanhong Tang

  • Short-term variation of CO2 flux in relation to environmental controls in an alpine meadow on the Qinghai-Tibetan Plateau

    Song Gu;Yanhong Tang;Mingyuan Du;Tomomichi Kato

  • Spatial variability and major controlling factors of CO2 sink strength in Asian terrestrial ecosystems: evidence from eddy covariance data

    Tomomichi Kato;Yanhong Tang

  • The BETHY/JSBACH Carbon Cycle Data Assimilation System: experiences and challenges

    T. Kaminski;W. Knorr;G. Schürmann;M. Scholze

  • Characterizing evapotranspiration over a meadow ecosystem on the Qinghai-Tibetan Plateau

    Song Gu;Song Gu;Song Gu;Yanhong Tang;Xiaoyong Cui;Mingyuan Du

  • Biomass carbon accumulation by Japan's forests from 1947 to 1995

    Jingyun Fang;Takehisa Oikawa;Tomomichi Kato;Wenhong Mo

  • Estimation of gross primary production over the terrestrial ecosystems in China

    Xianglan Li;Xianglan Li;Shunlin Liang;Shunlin Liang;Shunlin Liang;Guirui Yu;Wenping Yuan;Wenping Yuan

  • Carbon Dioxide Dynamics and Controls in a Deep-water Wetland on the Qinghai-Tibetan Plateau

    Mitsuru Hirota;Yanhong Tang;Qiwu Hu;Shigeki Hirata

  • Spatial variability of CH4 and N2O fluxes in alpine ecosystems on the Qinghai–Tibetan Plateau

    Tomomichi Kato;Mitsuru Hirota;Yanhong Tang;Eitaro Wada

Frequent Co-Authors

Yanhong Tang
Yanhong Tang Peking University
Hiroyuki Muraoka
Hiroyuki Muraoka Gifu University
Hideki Kobayashi
Hideki Kobayashi Japan Agency for Marine-Earth Science and Technology
Jiquan Chen
Jiquan Chen Michigan State University
Yingnian Li
Yingnian Li Chinese Academy of Sciences
Shunlin Liang
Shunlin Liang University of Hong Kong
Kazuhito Ichii
Kazuhito Ichii Chiba University
Wenping Yuan
Wenping Yuan Sun Yat-sen University
Shiping Chen
Shiping Chen Chinese Academy of Sciences
Changliang Shao
Changliang Shao Chinese Academy of Agricultural Sciences

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