World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
49
Citations
14345
World Ranking
5134
National Ranking
1886

Nicholas Clinton 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 Nicholas Clinton 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: 96 publications — 11th percentile

11% of scientists in this discipline score the same or lower.

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

Nicholas Clinton 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 Nicholas Clinton 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: 49 D-Index — 47th percentile

47% of scientists in this discipline score the same or lower.

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

Overview

Nicholas Clinton is affiliated with Google in the United States and conducts research primarily in the field of Environmental Science. Their work spans several subfields including Global and Planetary Change, Health, Toxicology and Mutagenesis, Ecology, Environmental Engineering, and Atmospheric Science.

Their research interests cover a range of topics such as Remote Sensing in Agriculture, Land Use and Ecosystem Services, Health disparities and outcomes, Urban Heat Island Mitigation, Air Quality and Health Impacts, Health, Environment and Cognitive Aging, and Urban Green Space and Health.

Clinton has contributed to several recent publications, including:

  • Mapping global urban boundaries from the global artificial impervious area (GAIA) data, 2020, Environmental Research Letters
  • Annual dynamics of global land cover and its long-term changes from 1982 to 2015, 2020, Earth System Science Data
  • Globally consistent assessment of coastal eutrophication, 2021, Nature Communications
  • Developing a method to estimate building height from Sentinel-1 data, 2020, Remote Sensing of Environment
  • Forest disturbance alerts for the Congo Basin using Sentinel-1, 2021, Environmental Research Letters

Frequent co-authors collaborating with Clinton include Tobias Banaschewski, Nathalie Holz, Frauke Nees, Vince D. Calhoun, and Emin Serin. These academic partnerships have supported a variety of studies across environmental and health-related topics.

The scientist's work has appeared repeatedly in several key publication venues, such as:

  • Nature Mental Health
  • SSRN Electronic Journal
  • Zenodo (CERN European Organization for Nuclear Research)
  • Environmental Research Letters
  • Remote Sensing of Environment

Best Publications

  • Finer resolution observation and monitoring of global land cover: first mapping results with Landsat TM and ETM+ data

    Peng Gong;Jie Wang;Le Yu;Yongchao Zhao

  • Stable classification with limited sample: transferring a 30-m resolution sample set collected in 2015 to mapping 10-m resolution global land cover in 2017

    Peng Gong;Han Liu;Meinan Zhang;Congcong Li

  • Object-based Detailed Vegetation Classification with Airborne High Spatial Resolution Remote Sensing Imagery

    Qian Yu;Peng Gong;Nick Clinton;Greg Biging

  • The global distribution and trajectory of tidal flats

    Nicholas J. Murray;Nicholas J. Murray;Stuart R. Phinn;Michael F DeWitt;Renata Ferrari

  • Mapping global urban boundaries from the global artificial impervious area (GAIA) data

    Xuecao Li;Peng Gong;Yuyu Zhou;Jie Wang;Jie Wang

  • Mapping essential urban land use categories in China (EULUC-China): preliminary results for 2018

    Peng Gong;Bin Chen;Xuecao Li;Han Liu

  • MODIS detected surface urban heat islands and sinks: Global locations and controls

    Nicholas Clinton;Peng Gong;Peng Gong

  • Accuracy Assessment Measures for Object-based Image Segmentation Goodness

    Nicholas Clinton;Ashley Holt;James Scarborough;Li Yan

  • Mapping major land cover dynamics in Beijing using all Landsat images in Google Earth Engine

    Huabing Huang;Yanlei Chen;Nicholas Clinton;Jie Wang

  • A mangrove forest map of China in 2015: analysis of time series Landsat 7/8 and Sentinel-1A imagery in Google Earth Engine cloud computing platform.

    Bangqian Chen;Bangqian Chen;Xiangming Xiao;Xiangming Xiao;Xiangping Li;Lianghao Pan;Lianghao Pan

  • Annual dynamics of global land cover and its long-term changes from 1982 to 2015

    Han Liu;Peng Gong;Jie Wang;Jie Wang;Nicholas Clinton

  • Prehistoric fire area and emissions from California's forests, woodlands, shrublands, and grasslands

    Scott L. Stephens;Robert E. Martin;Nicholas E. Clinton

  • Rainforest-initiated wet season onset over the southern Amazon.

    Jonathon S. Wright;Rong Fu;John R. Worden;Sudip Chakraborty

  • A Global Geospatial Ecosystem Services Estimate of Urban Agriculture

    Nicholas Clinton;Nicholas Clinton;Michelle Stuhlmacher;Albie Miles;Albie Miles;Nazli Uludere Aragon

  • Using Landsat and nighttime lights for supervised pixel-based image classification of urban land cover

    Ran Goldblatt;Michelle F. Stuhlmacher;Beth Tellman;Nicholas Clinton

  • Landscape analysis of wetland plant functional types: The effects of image segmentation scale, vegetation classes and classification methods

    Iryna Dronova;Peng Gong;Peng Gong;Peng Gong;Nicholas E. Clinton;Lin Wang;Lin Wang

  • Globally consistent assessment of coastal eutrophication.

    Elígio de Raús Maúre;Genki Terauchi;Joji Ishizaka;Nicholas Clinton

  • The first all-season sample set for mapping global land cover with Landsat-8 data

    Congcong Li;Congcong Li;Peng Gong;Jie Wang;Zhiliang Zhu

  • Stacked Autoencoder-based deep learning for remote-sensing image classification: a case study of African land-cover mapping

    Weijia Li;Haohuan Fu;Le Yu;Peng Gong

  • Developing a method to estimate building height from Sentinel-1 data

    Xuecao Li;Yuyu Zhou;Peng Gong;Karen C. Seto

  • FROM-GC: 30 m global cropland extent derived through multisource data integration

    Le Yu;Jie Wang;Nicholas Clinton;Qinchuan Xin

  • Annual dynamics of global land cover and its long-term changes from 1982 to 2015, link to GeoTIFF files

    Han Liu;Peng Gong;Jie Wang;Nicholas Clinton

Frequent Co-Authors

Peng Gong
Peng Gong University of Hong Kong
Le Yu
Le Yu Tsinghua University
Zhiliang Zhu
Zhiliang Zhu United States Geological Survey
Xuecao Li
Xuecao Li China Agricultural University
Steven W. Running
Steven W. Running University of Montana
Bing Xu
Bing Xu Tsinghua University
Marco P. Maneta
Marco P. Maneta University of Montana
John S. Kimball
John S. Kimball University of Montana
Jordi Muñoz-Marí
Jordi Muñoz-Marí University of Valencia
Peter Potapov
Peter Potapov University of Maryland, College Park

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