Peter M. Atkinson

Active 1995–2026

221
Papers
20,844
Citations
74
h-index
167
i10-index

Citations

Citations per year for Peter M. Atkinson1998: 3 citations1999: 5 citations2000: 14 citations2001: 24 citations2002: 20 citations2003: 31 citations2004: 49 citations2005: 66 citations2006: 98 citations2007: 84 citations2008: 95 citations2009: 123 citations2010: 119 citations2011: 111 citations2012: 178 citations2013: 165 citations2014: 180 citations2015: 190 citations2016: 294 citations2017: 314 citations2018: 364 citations2019: 580 citations2020: 682 citations2021: 755 citations2022: 826 citations2023: 953 citations2024: 1,177 citations2025: 930 citations2026: 148 citations2027: 3 citations

Citation sources

Countries

World map of the countries and regions citing this authorChina: 3,039 citing papers, 29.5% of this breakdownUnited States: 1,174 citing papers, 11.4% of this breakdownUnited Kingdom: 725 citing papers, 7% of this breakdownGermany: 350 citing papers, 3.4% of this breakdownIndia: 340 citing papers, 3.3% of this breakdownAustralia: 295 citing papers, 2.9% of this breakdownItaly: 287 citing papers, 2.8% of this breakdownCanada: 258 citing papers, 2.5% of this breakdownSpain: 234 citing papers, 2.3% of this breakdownFrance: 223 citing papers, 2.2% of this breakdownNetherlands: 171 citing papers, 1.7% of this breakdownHong Kong: 150 citing papers, 1.4% of this breakdown
0%29.5%Other 29.6%

Fields

  • Environmental Science31.1%
  • Engineering27.8%
  • Computer Science17.7%
  • Medicine9.5%
  • Earth and Planetary Sciences4%
  • Social Sciences2.2%
  • Other7.7%

Topics

  • Remote-Sensing Image Classification10.2%
  • Remote Sensing in Agriculture8.1%
  • Advanced Image Fusion Techniques4.6%
  • Remote Sensing and Land Use4.3%
  • Remote Sensing and LiDAR Applications3.4%
  • Land Use and Ecosystem Services3.4%
  • Other66%

Coauthors

All papers

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  1. UNetFormer: A UNet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery

    Authors: , , , , , , - ISPRS Journal of Photogrammetry and Remote Sensing 2022 cited by 1,144

  2. Explainable artificial intelligence: an analytical review

    Authors: , , , , - Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery, WIREs Data Mining Knowl. Discov. 2021 cited by 792

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

    Authors: , , , , , - ISPRS Journal of Photogrammetry and Remote Sensing 2021 cited by 388

  4. Multiattention Network for Semantic Segmentation of Fine-Resolution Remote Sensing Images

    Authors: , , , , , , - IEEE Transactions on Geoscience and Remote Sensing, IEEE Trans. Geosci. Remote. Sens. 2021 cited by 314

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

    Authors: , , , , , , , , , , , - IEEE Geoscience and Remote Sensing Magazine 2019 cited by 571

  6. Spatio-temporal fusion for daily Sentinel-2 images

    Authors: , - Remote Sensing of Environment 2017 cited by 376

  7. Joint Deep Learning for land cover and land use classification

    Authors: , , , , , , - Remote Sensing of Environment 2018 cited by 472

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

    Authors: , , , , , , - ISPRS Journal of Photogrammetry and Remote Sensing 2017 cited by 407

  9. SSA-SiamNet: Spectral-Spatial-Wise Attention-Based Siamese Network for Hyperspectral Image Change Detection

    Authors: , , , - IEEE Transactions on Geoscience and Remote Sensing, IEEE Trans. Geosci. Remote. Sens. 2021 cited by 94

  10. Deep learning-based landslide susceptibility mapping

    Authors: , , , , - Scientific Reports 2021 cited by 388

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

    Authors: , , , , , , - Remote Sensing of Environment 2018 cited by 429

  12. Deep learning enables satellite-based monitoring of large populations of terrestrial mammals across heterogeneous landscape

    Authors: , , , , , , , , , , , , , - Nature Communications 2023 cited by 91

  13. COVID-19 Outbreak Prediction with Machine Learning

    Authors: , , , , , , , - Algorithms 2020 cited by 360

  14. Introduction Neural networks in remote sensing

    Authors: , - International Journal of Remote Sensing 1997 cited by 1,024

  15. Downscaling in remote sensing

    Authors: - International Journal of Applied Earth Observation and Geoinformation, Int. J. Appl. Earth Obs. Geoinformation 2012 cited by 264

  16. Fusion of Sentinel-2 images

    Authors: , , , - Remote Sensing of Environment 2016 cited by 229

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

    Authors: , , , , - Remote Sensing of Environment 2012 cited by 598

  18. Urbanization, malaria transmission and disease burden in Africa

    Authors: , , , , - Nature Reviews Microbiology 2004 cited by 595

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

    Authors: , , , - Remote Sensing of Environment 2012 cited by 514

  20. Sociodemographic determinants of COVID-19 incidence rates in Oman: Geospatial modelling using multiscale geographically weighted regression (MGWR)

    Authors: , , , , - Sustainable Cities and Society 2020 cited by 286

  21. Fusion of Landsat 8 OLI and Sentinel-2 MSI Data

    Authors: , , , , , , - IEEE Transactions on Geoscience and Remote Sensing, IEEE Trans. Geosci. Remote. Sens. 2017 cited by 186

  22. An effective approach for gap-filling continental scale remotely sensed time-series

    Authors: , , , , , - ISPRS Journal of Photogrammetry and Remote Sensing 2014 cited by 228

  23. Attention Graph Convolutional Network for Disjoint Hyperspectral Image Classification

    Authors: , , , , - IEEE Geoscience and Remote Sensing Letters, IEEE Geosci. Remote. Sens. Lett. 2024 cited by 22

  24. A deep learning model for incorporating temporal information in haze removal

    Authors: , , , - Remote Sensing of Environment 2022 cited by 33