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Environmental Sciences
UK
2023

D-Index & Metrics

Environmental Sciences

D-Index
96
Citations
34271
World Ranking
458
National Ranking
32

Peter M. Atkinson 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 M. Atkinson 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: 565 publications — 98th percentile

98% of scientists in this discipline score the same or lower.

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

Peter M. Atkinson 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 M. Atkinson 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: 96 D-Index — 95th percentile

95% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2023 - Research.com Environmental Sciences in United Kingdom Leader Award

Overview

Peter M. Atkinson is affiliated with Lancaster University in the United Kingdom. Their research spans several key areas within environmental science and engineering, with a focus on remote sensing technologies applied to Earth observation and related fields.

The scientist's recent publications include:

  • UNetFormer: A UNet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery, 2022, ISPRS Journal of Photogrammetry and Remote Sensing
  • Explainable artificial intelligence: an analytical review, 2021, Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery
  • COVID-19 Outbreak Prediction with Machine Learning, 2020, Algorithms
  • Deep learning-based landslide susceptibility mapping, 2021, Scientific Reports
  • ABCNet: Attentive bilateral contextual network for efficient semantic segmentation of Fine-Resolution remotely sensed imagery, 2021, ISPRS Journal of Photogrammetry and Remote Sensing

Frequent collaborators in their research include:

  • Qunming Wang
  • Ce Zhang
  • Xiaohua Tong
  • Pedram Ghamisi
  • Yijie Tang

The scientist publishes regularly in the following venues:

  • IEEE Transactions on Geoscience and Remote Sensing
  • Remote Sensing of Environment
  • arXiv (Cornell University)
  • ISPRS Journal of Photogrammetry and Remote Sensing
  • International Journal of Applied Earth Observation and Geoinformation

Peter M. Atkinson's main fields of study focus on Environmental Science and Engineering. Within these areas, their work engages with subfields such as Media Technology, Global and Planetary Change, Ecology, Environmental Engineering, and Atmospheric Science.

Core topics covered in their publications include:

  • Remote-Sensing Image Classification
  • Remote Sensing in Agriculture
  • Advanced Image Fusion Techniques
  • Land Use and Ecosystem Services
  • Remote Sensing and LiDAR Applications
  • Remote Sensing and Land Use
  • COVID-19 epidemiological studies

Best Publications

  • Introduction Neural networks in remote sensing

    Peter M. Atkinson;A. R. L. Tatnall

  • Generalised linear modelling of susceptibility to landsliding in the Central Apennines, Italy

    P. M. Atkinson;R. Massari

  • Urbanization, malaria transmission and disease burden in Africa

    Simon I. Hay;Carlos A. Guerra;Andrew J. Tatem;Peter M. Atkinson

  • Random Forest classification of Mediterranean land cover using multi-seasonal imagery and multi-seasonal texture

    V.F. Rodriguez-Galiano;M. Chica-Olmo;F. Abarca-Hernandez;Peter M. Atkinson

  • Inter-comparison of four models for smoothing satellite sensor time-series data to estimate vegetation phenology

    Peter M. Atkinson;C. Jeganathan;Jadu Dash;Clement Atzberger

  • Multisource and Multitemporal Data Fusion in Remote Sensing: A Comprehensive Review of the State of the Art

    Pedram Ghamisi;Behnood Rasti;Naoto Yokoya;Qunming Wang

  • Deep learning-based landslide susceptibility mapping

    Unknown

  • Joint deep learning for land cover and land use classification

    Ce Zhang;Isabel Sargent;Xin Pan;Huapeng Li

  • COVID-19 outbreak prediction with machine learning

    Sina F. Ardabili;Amir Mosavi;Pedram Ghamisi;Filip Ferdinand

  • Super-resolution target identification from remotely sensed images using a Hopfield neural network

    A.J. Tatem;H.G. Lewis;P.M. Atkinson;M.S. Nixon

  • An object-based convolutional neural network (OCNN) for urban land use classification

    Ce Zhang;Isabel Sargent;Xin Pan;Huapeng Li

  • Mapping sub-pixel proportional land cover with AVHRR imagery

    Peter M. Atkinson;M. E. J. Cutler;Hugh G. Lewis

  • Geostatistical classification for remote sensing: an introduction

    P. M. Atkinson;P. Lewis

  • A hybrid MLP-CNN classifier for very fine resolution remotely sensed image classification

    Ce Zhang;Xin Pan;Huapeng Li;Andy Gardiner

  • Spatio-temporal fusion for daily Sentinel-2 images

    Qunming Wang;Peter M. Atkinson;Peter M. Atkinson;Peter M. Atkinson

  • Spatial Scale Problems and Geostatistical Solutions: A Review

    Peter M. Atkinson;Nicholas J. Tate

  • Sub-pixel Target Mapping from Soft-classified, Remotely Sensed Imagery

    Peter M. Atkinson

  • Remote sensing of ecosystem services:a systematic review

    Caio C. de Araujo Barbosa;Peter M. Atkinson;John A. Dearing

  • Geostatistics and remote sensing

    Paul J. Curran;Peter M. Atkinson

  • ABCNet: Attentive bilateral contextual network for efficient semantic segmentation of Fine-Resolution remotely sensed imagery

    Rui Li;Shunyi Zheng;Ce Zhang;Chenxi Duan;Chenxi Duan

  • Super-resolution land cover pattern prediction using a Hopfield neural network

    Andrew J. Tatem;Hugh G. Lewis;Peter M. Atkinson;Mark S. Nixon

  • Spatial analysis for epidemiology

    A. J. Graham;Peter M. Atkinson;F. M. Danson

Frequent Co-Authors

Qunming Wang
Qunming Wang Tongji University
Jadunandan Dash
Jadunandan Dash University of Southampton
Giles M. Foody
Giles M. Foody University of Nottingham
Paul J. Curran
Paul J. Curran City, University of London
Andrew J. Tatem
Andrew J. Tatem University of Southampton
Robert W. Snow
Robert W. Snow Kenya Medical Research Institute
Simon I. Hay
Simon I. Hay University of Washington
Mark S. Nixon
Mark S. Nixon University of Southampton
Abdisalan M. Noor
Abdisalan M. Noor World Health Organization
Peter W. Gething
Peter W. Gething Telethon Kids Institute

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