World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
51
Citations
9505
World Ranking
4748
National Ranking
363

Peter North 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 Peter North 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: 123 publications — 26th percentile

26% of scientists in this discipline score the same or lower.

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

Peter North 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 Peter North 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: 51 D-Index — 52nd percentile

52% of scientists in this discipline score the same or lower.

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

Overview

Peter North is affiliated with Swansea University in the United Kingdom. Their research primarily focuses on Environmental Science and Earth and Planetary Sciences, with notable contributions to Atmospheric Science and related subfields.

The scientist's work addresses several main topics including:

  • Atmospheric aerosols and clouds
  • Atmospheric chemistry and aerosols
  • Atmospheric ozone and climate
  • Remote sensing in agriculture
  • Remote sensing and LiDAR applications
  • Species distribution and climate change
  • Plant pathogens and resistance

Peter North has published in a variety of scientific venues. Frequent publication outlets include:

  • Atmospheric chemistry and physics
  • Remote Sensing of Environment
  • Journal of Geophysical Research Atmospheres
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • Atmospheric measurement techniques

Among their recent papers are:

  • "AeroCom phase III multi-model evaluation of the aerosol life cycle and optical properties using ground- and space-based remote sensing as well as surface in situ observations" (2021, Atmospheric chemistry and physics)
  • "Merging regional and global aerosol optical depth records from major available satellite products" (2020, Atmospheric chemistry and physics)
  • "An AeroCom-AeroSat study: intercomparison of satellite AOD datasets for aerosol model evaluation" (2020, Atmospheric chemistry and physics)
  • "Modelling hyperspectral- and thermal-based plant traits for the early detection of Phytophthora-induced symptoms in oak decline" (2021, Remote Sensing of Environment)
  • "Uncertainty in Aerosol Optical Depth From Modern Aerosol-Climate Models, Reanalyses, and Satellite Products" (2022, Journal of Geophysical Research Atmospheres)

The scientist collaborates regularly with a number of frequent co-authors. These include:

  • Larisa Sogacheva
  • A. Heckel
  • Thomas Popp
  • A. Hornero
  • Michael Schulz

Best Publications

  • Amazon forests maintain consistent canopy structure and greenness during the dry season

    Douglas C. Morton;Jyoteshwar Nagol;Claudia C. Carabajal;Jacqueline Rosette

  • Quantifying Vegetation Biophysical Variables from Imaging Spectroscopy Data: A Review on Retrieval Methods

    Jochem Verrelst;Zbynek Malenovsky;Zbynek Malenovsky;Christiaan van der Tol;Gustau Camps-Valls

  • Remote sensing of canopy light use efficiency using the photochemical reflectance index

    C.V.M Barton;P.R.J North

  • Three-dimensional forest light interaction model using a Monte Carlo method

    P.R.J. North

  • Previsual symptoms of Xylella fastidiosa infection revealed in spectral plant-trait alterations.

    P. J. Zarco-Tejada;C. Camino;P. S. A. Beck;R. Calderon

  • Third Radiation Transfer Model Intercomparison (RAMI) exercise: Documenting progress in canopy reflectance models

    Jean-Luc Widlowski;Malcolm Taberner;Bernard Pinty;Véronique Bruniquel-Pinel

  • The impact of diffuse sunlight on canopy light‐use efficiency, gross photosynthetic product and net ecosystem exchange in three forest biomes

    P. B. Alton;P. R. North;S. O. Los

  • AeroCom phase III multi-model evaluation of the aerosol life cycle and optical properties using ground- and space-based remote sensing as well as surface in situ observations

    Jonas Gliß;Augustin Mortier;Michael Schulz;Elisabeth Andrews

  • Control of atmospheric particles on diffuse radiation and terrestrial plant productivity: A review

    Kasturi Devi Kanniah;Jason Beringer;Peter North;Lindsay Hutley

  • Aerosol remote sensing over land: A comparison of satellite retrievals using different algorithms and instruments

    A.A. Kokhanovsky;F.-M. Breon;A. Cacciari;E. Carboni

  • Radiation Transfer Model Intercomparison (RAMI) exercise: Results from the second phase

    B. Pinty;J.-L. Widlowski;M. Taberner;N. Gobron

  • Monte Carlo ray tracing in optical canopy reflectance modelling

    M.I. Disney;P. Lewis;P.R.J. North

  • Development, Production and Evaluation of Aerosol Climate Data Records from European Satellite Observations (Aerosol_cci)

    Thomas Popp;Gerrit de Leeuw;Christine Bingen;Christoph Brühl

  • Radiation transfer model intercomparison (RAMI) exercise

    Bernard Pinty;Nadine Gobron;Jean Luc Widlowski;Sigfried A W Gerstl

  • The Propagation of Foliar Biochemical Absorption Features in Forest Canopy Reflectance

    T.P. Dawson;P.J. Curran;P.R.J. North;S.E. Plummer

  • Estimation of fAPAR, LAI, and vegetation fractional cover from ATSR-2 imagery

    Peter R.J North

  • Vegetation height estimates for a mixed temperate forest using satellite laser altimetry

    J. A. B. Rosette;P. R. J. North;J. C. Suárez

  • Retrieval of land surface bidirectional reflectance and aerosol opacity from ATSR-2 multiangle imagery

    P.R.J. North;S.A. Briggs;S.E. Plummer;J.J. Settle

  • Merging regional and global aerosol optical depth records from major available satellite products

    Larisa Sogacheva;Thomas Popp;Andrew M. Sayer;Andrew M. Sayer;Oleg Dubovik

  • Evaluation of seven European aerosol optical depth retrieval algorithms for climate analysis

    G. de Leeuw;G. de Leeuw;T. Holzer-Popp;S. Bevan;W.H. Davies

  • Model inversion for chlorophyll estimation in open canopies from hyperspectral imagery

    P. Kempeneers;P. J. Zarco-Tejada;P. R. J. North;S. de Backer

Frequent Co-Authors

Sietse O. Los
Sietse O. Los Swansea University
Andrew M. Sayer
Andrew M. Sayer Goddard Space Flight Center
Pablo J. Zarco-Tejada
Pablo J. Zarco-Tejada Spanish National Research Council
Philip Lewis
Philip Lewis University College London
Larisa Sogacheva
Larisa Sogacheva Finnish Meteorological Institute
Michael Schulz
Michael Schulz Norwegian Meteorological Institute
Roy G. Grainger
Roy G. Grainger University of Oxford
Bruce D. Cook
Bruce D. Cook Goddard Space Flight Center
Natascha Kljun
Natascha Kljun Lund University
Mathias Disney
Mathias Disney University College London

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