Peter M. Atkinson

30.9k total citations · 14 hit papers
516 papers, 22.7k citations indexed

About

Peter M. Atkinson is a scholar working on Ecology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Peter M. Atkinson has authored 516 papers receiving a total of 22.7k indexed citations (citations by other indexed papers that have themselves been cited), including 178 papers in Ecology, 147 papers in Global and Planetary Change and 146 papers in Environmental Engineering. Recurrent topics in Peter M. Atkinson's work include Remote Sensing in Agriculture (161 papers), Remote-Sensing Image Classification (117 papers) and Remote Sensing and LiDAR Applications (75 papers). Peter M. Atkinson is often cited by papers focused on Remote Sensing in Agriculture (161 papers), Remote-Sensing Image Classification (117 papers) and Remote Sensing and LiDAR Applications (75 papers). Peter M. Atkinson collaborates with scholars based in United Kingdom, China and Netherlands. Peter M. Atkinson's 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 Giles M. Foody and has published in prestigious journals such as Nature, Science and Nature Communications.

In The Last Decade

Peter M. Atkinson

494 papers receiving 21.7k citations

Hit Papers

Introduction Neural networks in remote sensing 1997 2026 2006 2016 1997 2022 2012 1998 2021 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Peter M. Atkinson United Kingdom 75 7.9k 6.5k 6.1k 5.6k 4.2k 516 22.7k
Giles M. Foody United Kingdom 76 15.0k 1.9× 11.5k 1.8× 7.7k 1.3× 7.8k 1.4× 5.3k 1.3× 310 27.9k
Jin Chen China 73 10.0k 1.3× 9.3k 1.4× 3.7k 0.6× 6.1k 1.1× 4.2k 1.0× 792 24.7k
Peng Gong China 91 12.9k 1.6× 15.0k 2.3× 4.3k 0.7× 10.5k 1.9× 6.1k 1.4× 597 31.2k
Qihao Weng China 81 5.5k 0.7× 13.9k 2.1× 4.1k 0.7× 13.4k 2.4× 6.7k 1.6× 448 26.4k
Thomas Blaschke Austria 74 5.7k 0.7× 10.3k 1.6× 4.7k 0.8× 5.4k 1.0× 4.8k 1.1× 339 22.3k
Alfred Stein Netherlands 58 2.9k 0.4× 3.7k 0.6× 1.9k 0.3× 4.3k 0.8× 1.8k 0.4× 476 13.0k
Stephen V. Stehman United States 66 14.2k 1.8× 16.4k 2.5× 2.5k 0.4× 6.7k 1.2× 3.2k 0.8× 193 27.3k
Russell G. Congalton United States 39 10.5k 1.3× 9.0k 1.4× 3.8k 0.6× 5.4k 1.0× 3.3k 0.8× 131 18.3k
J. R. Townshend United States 37 11.1k 1.4× 11.8k 1.8× 2.5k 0.4× 5.3k 0.9× 4.4k 1.0× 85 20.6k
Curtis E. Woodcock United States 87 19.1k 2.4× 17.5k 2.7× 5.5k 0.9× 10.9k 2.0× 7.0k 1.7× 221 31.0k

Countries citing papers authored by Peter M. Atkinson

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Peter M. Atkinson

This figure shows the co-authorship network connecting the top 25 collaborators of Peter M. Atkinson. A scholar is included among the top collaborators of Peter M. Atkinson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peter M. Atkinson. Peter M. Atkinson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wang, Qunming, et al.. (2024). Data fidelity-oriented spatial-spectral fusion of CRISM and CTX images. ISPRS Journal of Photogrammetry and Remote Sensing. 220. 172–191. 1 indexed citations
3.
Wang, Qunming, et al.. (2024). Unsupervised object-based spectral unmixing for subpixel mapping. Remote Sensing of Environment. 318. 114514–114514. 6 indexed citations
4.
Blackburn, George Alan, et al.. (2024). The Geographical Analysis of Megacities Through Changes in Their Individual Urban Objects. Geographical Analysis. 56(3). 451–470.
5.
Mansour, Shawky, et al.. (2023). Geospatial modelling of post-cyclone Shaheen recovery using nighttime light data and MGWR. International Journal of Disaster Risk Reduction. 93. 103761–103761. 11 indexed citations
6.
Chen, Hui, et al.. (2023). A novel Greenness and Water Content Composite Index (GWCCI) for soybean mapping from single remotely sensed multispectral images. Remote Sensing of Environment. 295. 113679–113679. 40 indexed citations
7.
Atkinson, Peter M., et al.. (2023). Aether dynamics: Classical mechanics explained. Physics Essays. 36(2). 129–139. 1 indexed citations
8.
Wang, Qunming, Yijie Tang, Yong Ge, et al.. (2023). A comprehensive review of spatial-temporal-spectral information reconstruction techniques. SHILAP Revista de lepidopterología. 8. 100102–100102. 25 indexed citations
9.
Sedda, Luigi, et al.. (2022). A joint distribution framework to improve presence‐only species distribution models by exploiting opportunistic surveys. Journal of Biogeography. 49(6). 1176–1192. 4 indexed citations
10.
Simuunza, Martin, Boniface Namangala, Chitalu Miriam Chama‐Chiliba, et al.. (2022). Healthcare Management of Human African Trypanosomiasis Cases in the Eastern, Muchinga and Lusaka Provinces of Zambia. Tropical Medicine and Infectious Disease. 7(10). 270–270. 2 indexed citations
11.
Angelov, Plamen, et al.. (2021). Explainable artificial intelligence: an analytical review. Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery. 11(5). 425 indexed citations breakdown →
12.
Tang, Yijie, Qunming Wang, Zhang Ka, & Peter M. Atkinson. (2020). Quantifying the Effect of Registration Error on Spatio-Temporal Fusion. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 13. 487–503. 26 indexed citations
13.
Rodríguez‐Galiano, Víctor, et al.. (2016). Modelling interannual variation in the spring and autumn land surface phenology of the European forest. Biogeosciences. 13(11). 3305–3317. 52 indexed citations
14.
Rodríguez‐Galiano, Víctor, M. Sánchez-Castillo, Jadunandan Dash, & Peter M. Atkinson. (2015). Modelling anomalies in the spring and autumn land surface phenology of the European forest. 3 indexed citations
15.
Lewis, Hugh G., et al.. (2011). NEOMiSS: A near-Earth object decision support tool. ePrints Soton (University of Southampton). 1 indexed citations
16.
Tate, Nicholas & Peter M. Atkinson. (2001). Modelling scale in geographical information science.. Wiley eBooks. 15(3). 111 indexed citations
17.
Atkinson, Peter M. & David Martín. (1999). Investigating the effect of support size on population surface models. Radiology. 216(2). 411–7. 5 indexed citations
18.
Atkinson, Peter M. & Christopher Lloyd. (1998). Mapping precipitation in Switzerland with ordinary and indicator kriging. Special issue: Spatial Interpolation Comparison 97. Genetika. 49(8). 1013–6. 9 indexed citations
19.
Atkinson, Peter M., et al.. (1997). Evaluating the potential of the forthcoming commercial US high-resolution satelite sensor imagery at the Ordnance Survey. Photogrammetric Engineering & Remote Sensing. 63(8). 997–1005. 34 indexed citations
20.
Sharland, Mike, Peter M. Atkinson, Helen Maguire, Joanne White, & Norman Begg. (1995). Will London's COVER meet the target?. PubMed. 5(4). R53–R53. 1 indexed citations

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.

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