World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
43
Citations
9218
World Ranking
6985
National Ranking
134

Hideki Kobayashi 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 Hideki Kobayashi 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: 251 publications — 78th percentile

78% of scientists in this discipline score the same or lower.

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

Hideki Kobayashi 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 Hideki Kobayashi 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: 43 D-Index — 29th percentile

29% of scientists in this discipline score the same or lower.

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

Overview

Hideki Kobayashi is affiliated with the Japan Agency for Marine-Earth Science and Technology in Japan. Their research primarily focuses on environmental science and earth and planetary sciences, with significant publication contributions in these fields.

The scientist's work spans several subfields, including global and planetary change, atmospheric science, ecology, environmental engineering, and plant science. Key topics covered in their research include atmospheric and environmental gas dynamics, climate change and permafrost, plant water relations and carbon dynamics, cryospheric studies and observations, remote sensing in agriculture, climate variability and models, and remote sensing and LiDAR applications.

Hideki Kobayashi has contributed to research published in several notable venues. Frequent publication venues include Zenodo (CERN European Organization for Nuclear Research), Environmental Research Letters, Agricultural and Forest Meteorology, Nature Climate Change, and Polar Science.

Their recent notable papers are:

  • Representativeness of Eddy-Covariance flux footprints for areas surrounding AmeriFlux sites, 2021, Agricultural and Forest Meteorology
  • The three major axes of terrestrial ecosystem function, 2021, Nature
  • Statistical upscaling of ecosystem CO2 fluxes across the terrestrial tundra and boreal domain: Regional patterns and uncertainties, 2021, Global Change Biology
  • Temperature thresholds of ecosystem respiration at a global scale, 2021, Nature Ecology & Evolution
  • Inferring CO2 fertilization effect based on global monitoring land-atmosphere exchange with a theoretical model, 2020, Environmental Research Letters

Hideki Kobayashi has collaborated extensively with other researchers. Frequent co-authors include Masahito Ueyama, Oliver Sonnentag, E. S. Euskirchen, Donatella Zona, and Hiroki Iwata.

Best Publications

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

    Gilberto Pastorello;Carlo Trotta;Eleonora Canfora;Housen Chu

  • Leaf development and demography explain photosynthetic seasonality in Amazon evergreen forests.

    Jin Wu;Loren P. Albert;Aline P. Lopes;Natalia Restrepo-Coupe;Natalia Restrepo-Coupe

  • Integration of MODIS land and atmosphere products with a coupled-process model to estimate gross primary productivity and evapotranspiration from 1 km to global scales

    Youngryel Ryu;Youngryel Ryu;Dennis D. Baldocchi;Hideki Kobayashi;Catharine van Ingen

  • Representativeness of Eddy-Covariance flux footprints for areas surrounding AmeriFlux sites

    Housen Chu;Xiangzhong Luo;Xiangzhong Luo;Zutao Ouyang;W. Stephen Chan

  • How to quantify tree leaf area index in an open savanna ecosystem: A multi-instrument and multi-model approach

    Youngryel Ryu;Oliver Sonnentag;Tiit Nilson;Rodrigo Vargas

  • Sulfurimonas autotrophica gen. nov., sp. nov., a novel sulfur-oxidizing ε-proteobacterium isolated from hydrothermal sediments in the Mid-Okinawa Trough

    Fumio Inagaki;Ken Takai;Hideki Kobayashi;Kenneth H. Nealson;Kenneth H. Nealson

  • MODIS-derived global land products of shortwave radiation and diffuse and total photosynthetically active radiation at 5 km resolution from 2000

    Youngryel Ryu;Chongya Jiang;Hideki Kobayashi;Matteo Detto

  • The three major axes of terrestrial ecosystem function

    Mirco Migliavacca;Talie Musavi;Miguel D. Mahecha;Jacob A. Nelson

  • On the correct estimation of effective leaf area index: does it reveal information on clumping effects?

    Youngryel Ryu;Tiit Nilson;Hideki Kobayashi;Oliver Sonnentag

  • The fourth phase of the radiative transfer model intercomparison (RAMI) exercise: Actual canopy scenarios and conformity testing

    Jean Luc Widlowski;Corrado Mio;Mathias Disney;Jennifer Adams

  • Prevalence and Characteristics of Shiga Toxin-Producing Escherichia coli from Healthy Cattle in Japan

    Hideki Kobayashi;Jun Shimada;Muneo Nakazawa;Tetsuo Morozumi

  • Genetic variation among Staphylococcus aureus strains from bovine milk and their relevance to methicillin-resistant isolates from humans.

    Eiji Hata;Ken Katsuda;Hideki Kobayashi;Ikuo Uchida

  • Continuous observation of tree leaf area index at ecosystem scale using upward-pointing digital cameras

    Youngryel Ryu;Youngryel Ryu;Joseph Verfaillie;Craig Macfarlane;Hideki Kobayashi;Hideki Kobayashi

  • A coupled 1-D atmosphere and 3-D canopy radiative transfer model for canopy reflectance, light environment, and photosynthesis simulation in a heterogeneous landscape

    Hideki Kobayashi;Hironobu Iwabuchi

  • RAMI4PILPS: An intercomparison of formulations for the partitioning of solar radiation in land surface models

    J.-L. Widlowski;B. Pinty;M. Clerici;Y. Dai

  • Statistical upscaling of ecosystem CO2 fluxes across the terrestrial tundra and boreal domain: Regional patterns and uncertainties

    Anna Maria Virkkala;Juha Aalto;Juha Aalto;Brendan M. Rogers;Torbern Tagesson;Torbern Tagesson

  • Atmospheric conditions for monitoring the long-term vegetation dynamics in the Amazon using normalized difference vegetation index

    Hideki Kobayashi;Dennis G. Dye

  • The fourth radiation transfer model intercomparison (RAMI-IV): Proficiency testing of canopy reflectance models with ISO-13528

    J. L. Widlowski;B. Pinty;M. Lopatka;C. Atzberger

  • New data-driven estimation of terrestrial CO2 fluxes in Asia using a standardized database of eddy covariance measurements, remote sensing data, and support vector regression

    Kazuhito Ichii;Kazuhito Ichii;Kazuhito Ichii;Masahito Ueyama;Masayuki Kondo;Masayuki Kondo;Nobuko Saigusa

  • Deferribacter desulfuricans sp. nov., a novel sulfur-, nitrate- and arsenate-reducing thermophile isolated from a deep-sea hydrothermal vent.

    Ken Takai;Hideki Kobayashi;Kenneth H. Nealson;Koki Horikoshi

  • Modeling energy and carbon fluxes in a heterogeneous oak woodland: A three-dimensional approach

    Hideki Kobayashi;Hideki Kobayashi;Dennis D. Baldocchi;Youngryel Ryu;Qi Chen

  • Biological processes dominate seasonality of remotely sensed canopy greenness in an Amazon evergreen forest

    Jin Wu;Jin Wu;Hideki Kobayashi;Scott C. Stark;Ran Meng

  • On the correct estimation of gap fraction: How to remove scattered radiation in gap fraction measurements?

    Hideki Kobayashi;Hideki Kobayashi;Youngryel Ryu;Youngryel Ryu;Dennis D. Baldocchi;Jon M. Welles

  • Assessing the potential of sun-induced fluorescence and the canopy scattering coefficient to track large-scale vegetation dynamics in Amazon forests

    Philipp Köhler;Luis Guanter;Hideki Kobayashi;Sophia Walther

Frequent Co-Authors

Masahito Ueyama
Masahito Ueyama Osaka Metropolitan University
Kazuhito Ichii
Kazuhito Ichii Chiba University
Donatella Zona
Donatella Zona San Diego State University
Walter C. Oechel
Walter C. Oechel San Diego State University
Youngryel Ryu
Youngryel Ryu Seoul National University
Tomomichi Kato
Tomomichi Kato Hokkaido University
Hiroyuki Muraoka
Hiroyuki Muraoka Gifu University
Dennis D. Baldocchi
Dennis D. Baldocchi University of California, Berkeley
Nobuko Saigusa
Nobuko Saigusa National Institute for Environmental Studies
Oliver Sonnentag
Oliver Sonnentag University of Montreal

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