Simon Proud

4.7k total citations · 2 hit papers
33 papers, 3.1k citations indexed

About

Simon Proud is a scholar working on Global and Planetary Change, Atmospheric Science and Ecology. According to data from OpenAlex, Simon Proud has authored 33 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Global and Planetary Change, 16 papers in Atmospheric Science and 13 papers in Ecology. Recurrent topics in Simon Proud's work include Remote Sensing in Agriculture (13 papers), Atmospheric aerosols and clouds (10 papers) and Atmospheric chemistry and aerosols (7 papers). Simon Proud is often cited by papers focused on Remote Sensing in Agriculture (13 papers), Atmospheric aerosols and clouds (10 papers) and Atmospheric chemistry and aerosols (7 papers). Simon Proud collaborates with scholars based in Denmark, United Kingdom and United States. Simon Proud's co-authors include Rasmus Fensholt, Gudina Legese Feyisa, Henrik Meilby, Inge Sandholt, Laura Vang Rasmussen, Mads Olander Rasmussen, Andrew T. Prata, Milan Klöwer, Agnieszka Skowron and Myles Allen and has published in prestigious journals such as Science, Journal of Geophysical Research Atmospheres and Remote Sensing of Environment.

In The Last Decade

Simon Proud

33 papers receiving 3.0k citations

Hit Papers

Automated Water Extraction Index: A new technique for sur... 2012 2026 2016 2021 2013 2012 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Simon Proud Denmark 20 2.2k 1.1k 859 754 612 33 3.1k
Andrew Cottam Italy 6 2.6k 1.2× 1.2k 1.0× 896 1.0× 771 1.0× 1.4k 2.4× 10 3.8k
Xiaoling Chen China 34 2.1k 0.9× 1.1k 1.0× 720 0.8× 629 0.8× 1.1k 1.8× 118 3.8k
Yinghai Ke China 29 1.1k 0.5× 1.5k 1.3× 1.2k 1.4× 650 0.9× 437 0.7× 82 3.0k
Lei Ji United States 31 2.7k 1.2× 2.1k 1.8× 957 1.1× 933 1.2× 627 1.0× 79 4.3k
Gaohuan Liu China 34 1.3k 0.6× 1.4k 1.2× 756 0.9× 639 0.8× 402 0.7× 134 3.0k
Hongxing Liu United States 36 1.4k 0.6× 1.0k 0.9× 1.3k 1.5× 1.2k 1.7× 381 0.6× 105 3.9k
Ursula Geßner Germany 29 1.4k 0.7× 1.2k 1.1× 616 0.7× 786 1.0× 353 0.6× 65 2.7k
Chong Huang China 30 1.3k 0.6× 1.5k 1.3× 777 0.9× 542 0.7× 300 0.5× 152 3.0k
Huabing Huang China 28 1.7k 0.8× 1.3k 1.2× 1.3k 1.5× 769 1.0× 288 0.5× 95 3.2k
Cuizhen Wang United States 33 1.4k 0.6× 1.4k 1.2× 1.2k 1.4× 792 1.1× 186 0.3× 116 3.1k

Countries citing papers authored by Simon Proud

Since Specialization
Citations

This map shows the geographic impact of Simon Proud'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 Simon Proud with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Proud more than expected).

Fields of papers citing papers by Simon Proud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Simon Proud. 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 Simon Proud. The network helps show where Simon Proud may publish in the future.

Co-authorship network of co-authors of Simon Proud

This figure shows the co-authorship network connecting the top 25 collaborators of Simon Proud. A scholar is included among the top collaborators of Simon Proud 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 Simon Proud. Simon Proud 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.
Poulsen, Caroline, Steven T. Siems, Simon Proud, et al.. (2024). Geostationary aerosol retrievals of extreme biomass burning plumes during the 2019–2020 Australian bushfires. Atmospheric measurement techniques. 17(10). 3279–3302. 1 indexed citations
2.
Taylor, Isabelle A., R. G. Grainger, Andrew T. Prata, et al.. (2023). A satellite chronology of plumes from the April 2021 eruption of La Soufrière, St Vincent. Atmospheric chemistry and physics. 23(24). 15209–15234. 3 indexed citations
3.
Poulsen, Caroline, et al.. (2022). Improving discrimination between clouds and optically thick aerosol plumes in geostationary satellite data. Atmospheric measurement techniques. 15(9). 3031–3051. 5 indexed citations
4.
Prata, Andrew T., R. G. Grainger, Isabelle A. Taylor, et al.. (2022). Uncertainty-bounded estimates of ash cloud properties using the ORAC algorithm: application to the 2019 Raikoke eruption. Atmospheric measurement techniques. 15(20). 5985–6010. 15 indexed citations
5.
Proud, Simon, et al.. (2022). The January 2022 eruption of Hunga Tonga-Hunga Ha’apai volcano reached the mesosphere. Science. 378(6619). 554–557. 85 indexed citations
6.
Klöwer, Milan, et al.. (2021). Quantifying aviation’s contribution to global warming. Environmental Research Letters. 16(10). 104027–104027. 143 indexed citations
7.
Poulsen, Caroline, Gregory McGarragh, G. E. Thomas, et al.. (2020). Cloud _ cci ATSR-2 and AATSR data set version 3: a 17-year climatology of global cloud and radiation properties. Earth system science data. 12(3). 2121–2135. 4 indexed citations
8.
Proud, Simon. (2020). Go-Around Detection Using Crowd-Sourced ADS-B Position Data. Aerospace. 7(2). 16–16. 15 indexed citations
9.
Sus, Oliver, Martin Stengel, Stefan Stapelberg, et al.. (2018). The Community Cloud retrieval for CLimate (CC4CL) – Part 1: A framework applied to multiple satellite imaging sensors. Atmospheric measurement techniques. 11(6). 3373–3396. 29 indexed citations
10.
McGarragh, Gregory, Caroline Poulsen, G. E. Thomas, et al.. (2018). The Community Cloud retrieval for CLimate (CC4CL) – Part 2: The optimal estimation approach. Atmospheric measurement techniques. 11(6). 3397–3431. 30 indexed citations
11.
Christensen, Matthew W., David Neubauer, Caroline Poulsen, et al.. (2017). Unveiling aerosol–cloud interactions – Part 1: Cloud contamination in satellite products enhances the aerosol indirect forcing estimate. Atmospheric chemistry and physics. 17(21). 13151–13164. 68 indexed citations
12.
Zawadowicz, Maria A., et al.. (2015). Hygroscopic and phase separation properties of ammonium sulfate/organics/water ternary solutions. Atmospheric chemistry and physics. 15(15). 8975–8986. 24 indexed citations
13.
Stisen, Simon, et al.. (2015). Evaluating EO-based canopy water stress from seasonally detrended NDVI and SIWSI with modeled evapotranspiration in the Senegal River Basin. Remote Sensing of Environment. 159. 57–69. 17 indexed citations
14.
Proud, Simon. (2014). Analysis of overshooting top detections by Meteosat Second Generation: a 5‐year dataset. Quarterly Journal of the Royal Meteorological Society. 141(688). 909–915. 19 indexed citations
15.
Proud, Simon. (2013). Reconstructing the orbit of the Chelyabinsk meteor using satellite observations. Geophysical Research Letters. 40(13). 3351–3355. 11 indexed citations
16.
Fensholt, Rasmus & Simon Proud. (2012). Evaluation of Earth Observation based global long term vegetation trends — Comparing GIMMS and MODIS global NDVI time series. Remote Sensing of Environment. 119. 131–147. 693 indexed citations breakdown →
17.
Proud, Simon, Rasmus Fensholt, Laura Vang Rasmussen, & Inge Sandholt. (2011). Rapid response flood detection using the MSG geostationary satellite. International Journal of Applied Earth Observation and Geoinformation. 13(4). 536–544. 37 indexed citations
18.
Fensholt, Rasmus, Assaf Anyamba, S. Huber, et al.. (2011). Analysing the advantages of high temporal resolution geostationary MSG SEVIRI data compared to Polar Operational Environmental Satellite data for land surface monitoring in Africa. International Journal of Applied Earth Observation and Geoinformation. 13(5). 721–729. 41 indexed citations
19.
Proud, Simon, Rasmus Fensholt, Mads Olander Rasmussen, & Inge Sandholt. (2010). A comparison of the effectiveness of 6S and SMAC in correcting for atmospheric interference of Meteosat Second Generation images. Journal of Geophysical Research Atmospheres. 115(D17). 27 indexed citations
20.
Rasmussen, Mads Olander, et al.. (2010). Modeling Angular Dependences in Land Surface Temperatures From the SEVIRI Instrument Onboard the Geostationary Meteosat Second Generation Satellites. IEEE Transactions on Geoscience and Remote Sensing. 48(8). 3123–3133. 34 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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