Peter M. Atkinson
Impact in
- Media Technology top 0.01%
- Remote-Sensing Image Classification
- Advanced Image Fusion Techniques
- Environmental Engineering top 0.05%
- Remote Sensing and LiDAR Applications
- Soil Geostatistics and Mapping
Papers in
- Ecology 187
- Remote Sensing in Agriculture 170
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- Remote Sensing and LiDAR Applications 79
- Soil Geostatistics and Mapping 79
- Co-authors
- Qunming Wang (61 shared papers)Jadunandan Dash (35 shared papers)Ce Zhang (41 shared papers)Paul J. Curran (21 shared papers)Hugh G. Lewis (27 shared papers)A.R.L. Tatnall (2 shared papers)C. Jeganathan (17 shared papers)Christopher Lloyd (26 shared papers)
- Journals
- International Journal of Remote Sensing (42 papers)Remote Sensing of Environment (36 papers)IEEE Transactions on Geoscience and Remote Sensing (30 papers)International Journal of Applied Earth Observation and Geoinformation (22 papers)ISPRS Journal of Photogrammetry and Remote Sensing (18 papers)
- Partner nations
- United KingdomChinaNetherlands
In The Last Decade
Peter M. Atkinson
530 papers receiving 23.4k citations
Peter M. Atkinson's Hit Papers
Peers
Comparison fields: 5 of 219
- Media Technology 6.4k
- Environmental Engineering 6.0k
- Ecology 8.3k
- Global and Planetary Change 6.9k
- Atmospheric Science 4.5k
Countries citing papers authored by Peter M. Atkinson
This map shows the geographic impact of Peter M. Atkinson's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Peter M. Atkinson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter M. Atkinson more than expected).
Fields of papers citing papers by Peter M. Atkinson
This network shows the impact of papers produced by Peter M. Atkinson. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Peter M. Atkinson. The network helps show where Peter M. Atkinson may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter M. Atkinson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 552 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Introduction Neural networks in remote sensing Hit paper breakdown → | 1997 | 831 |
| 2 | UNetFormer: A UNet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery Hit paper breakdown → | 2022 | 736 |
| 3 | Explainable artificial intelligence: an analytical review Hit paper breakdown → | 2021 | 519 |
| 4 | Random Forest classification of Mediterranean land cover using multi-seasonal imagery and multi-seasonal texture Hit paper breakdown → | 2012 | 500 |
| 5 | GENERALISED LINEAR MODELLING OF SUSCEPTIBILITY TO LANDSLIDING IN THE CENTRAL APENNINES, ITALY Hit paper breakdown → | 1998 | 484 |
| 6 | 2004 | 454 | |
| 7 | Multisource and Multitemporal Data Fusion in Remote Sensing: A Comprehensive Review of the State of the Art Hit paper breakdown → | 2019 | 443 |
| 8 | Inter-comparison of four models for smoothing satellite sensor time-series data to estimate vegetation phenology Hit paper breakdown → | 2012 | 431 |
| 9 | Joint Deep Learning for land cover and land use classification Hit paper breakdown → | 2018 | 380 |
| 10 | An object-based convolutional neural network (OCNN) for urban land use classification Hit paper breakdown → | 2018 | 366 |
| 11 | A hybrid MLP-CNN classifier for very fine resolution remotely sensed image classification Hit paper breakdown → | 2017 | 340 |
| 12 | Spatio-temporal fusion for daily Sentinel-2 images Hit paper breakdown → | 2017 | 307 |
| 13 | Deep learning-based landslide susceptibility mapping Hit paper breakdown → | 2021 | 304 |
| 14 | 2001 | 273 | |
| 15 | 2015 | 263 | |
| 16 | A systematic review of landslide probability mapping using logistic regression Hit paper breakdown → | 2015 | 261 |
| 17 | 1997 | 256 | |
| 18 | ABCNet: Attentive bilateral contextual network for efficient semantic segmentation of Fine-Resolution remotely sensed imagery Hit paper breakdown → | 2021 | 256 |
| 19 | 2005 | 252 | |
| 20 | 2000 | 248 |
About Peter M. Atkinson
Peter M. Atkinson is a scholar working on Ecology, Environmental Engineering, Global and Planetary Change, Media Technology and Atmospheric Science, having authored 552 papers that have together received 24.5k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (170 papers), Remote-Sensing Image Classification (121 papers), Remote Sensing and LiDAR Applications (79 papers), Soil Geostatistics and Mapping (79 papers), Land Use and Ecosystem Services (72 papers), Advanced Image Fusion Techniques (69 papers), Remote Sensing and Land Use (47 papers) and Geochemistry and Geologic Mapping (44 papers). The work is most often cited by research in Media Technology (6.4k citations), Environmental Engineering (6.0k citations), Ecology (8.3k citations), Global and Planetary Change (6.9k citations) and Atmospheric Science (4.5k citations). Peter M. Atkinson has collaborated with scholars based in United Kingdom, China and Netherlands. Frequent co-authors include Qunming Wang, Jadunandan Dash, Ce Zhang, Paul J. Curran, Hugh G. Lewis, A.R.L. Tatnall, C. Jeganathan, Christopher Lloyd, Andrew J. Tatem and Nicholas Tate. Their work appears in journals such as International Journal of Remote Sensing, Remote Sensing of Environment, IEEE Transactions on Geoscience and Remote Sensing, International Journal of Applied Earth Observation and Geoinformation and ISPRS Journal of Photogrammetry and Remote Sensing.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.