S. Quegan

13.0k total citations · 3 hit papers
201 papers, 8.7k citations indexed

About

S. Quegan is a scholar working on Aerospace Engineering, Environmental Engineering and Atmospheric Science. According to data from OpenAlex, S. Quegan has authored 201 papers receiving a total of 8.7k indexed citations (citations by other indexed papers that have themselves been cited), including 102 papers in Aerospace Engineering, 84 papers in Environmental Engineering and 36 papers in Atmospheric Science. Recurrent topics in S. Quegan's work include Synthetic Aperture Radar (SAR) Applications and Techniques (88 papers), Soil Moisture and Remote Sensing (48 papers) and Remote Sensing and LiDAR Applications (32 papers). S. Quegan is often cited by papers focused on Synthetic Aperture Radar (SAR) Applications and Techniques (88 papers), Soil Moisture and Remote Sensing (48 papers) and Remote Sensing and LiDAR Applications (32 papers). S. Quegan collaborates with scholars based in United Kingdom, France and Germany. S. Quegan's co-authors include Chris Oliver, R. J. Moffett, T. J. Fuller‐Rowell, M. Codrescu, Thuy Le Toan, Jiong Yu, H. Rishbeth, D. Rees, G. J. Bailey and Asmala Ahmad and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Remote Sensing of Environment and Scientific Reports.

In The Last Decade

S. Quegan

190 papers receiving 8.1k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Understanding Synthetic Aperture Radar Images

1998 1.4k citations S. Quegan et al. profile →
Response of the thermosphere and ionosphere to geomagnetic storms

1994 774 citations R. J. Moffett, S. Quegan et al. profile →
The BIOMASS mission: Mapping global forest biomass to better understand the terrestrial carbon cycle

2011 525 citations Thuy Le Toan, S. Quegan et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
S. Quegan	3.7k	2.7k	2.5k	1.4k	1.4k	201	8.7k
T. G. Farr	2.4k 0.7×	2.6k 1.0×	859 0.3×	3.3k 2.3×	1.6k 1.2×	115	10.4k
Shuanggen Jin	3.6k 1.0×	2.1k 0.8×	2.9k 1.1×	1.5k 1.0×	317 0.2×	461	8.5k
P. A. Rosen	8.0k 2.2×	3.9k 1.5×	760 0.3×	4.9k 3.4×	1.5k 1.1×	179	17.1k
Michael Schmidt	964 0.3×	629 0.2×	916 0.4×	437 0.3×	1.2k 0.9×	217	4.4k
S. Hensley	3.2k 0.9×	2.4k 0.9×	533 0.2×	3.1k 2.2×	1.5k 1.1×	142	10.0k
Tsuneo Matsunaga	1.0k 0.3×	1.4k 0.5×	2.3k 0.9×	2.0k 1.4×	604 0.4×	254	5.7k
Anne B. Kahle	765 0.2×	2.3k 0.8×	443 0.2×	1.4k 1.0×	661 0.5×	94	5.1k
Yuei‐An Liou	916 0.2×	1.4k 0.5×	1.3k 0.5×	1.6k 1.1×	881 0.6×	210	5.6k
Joseph W. Boardman	628 0.2×	1.7k 0.6×	1.2k 0.5×	2.4k 1.7×	2.7k 2.0×	67	10.0k
C. K. Shum	2.2k 0.6×	806 0.3×	1.7k 0.7×	2.6k 1.8×	675 0.5×	380	10.4k

Countries citing papers authored by S. Quegan

Since Specialization

Citations

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

Fields of papers citing papers by S. Quegan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Quegan

This figure shows the co-authorship network connecting the top 25 collaborators of S. Quegan. A scholar is included among the top collaborators of S. Quegan 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 S. Quegan. S. Quegan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Rodríguez‐Veiga, Pedro, João M. B. Carreiras, S. Quegan, et al.. (2025). Loss of tropical moist broadleaf forest has turned Africa’s forests from a carbon sink into a source. Scientific Reports. 15(1). 41744–41744.

Soja, Maciej J., Maurizio Santoro, Stefano Tebaldini, et al.. (2025). Sub-hectare resolution forest biomass mapping from Copernicus DEM with low-dimensional models. Science of Remote Sensing. 12. 100250–100250. 1 indexed citations

Soja, Maciej J., et al.. (2023). Design And Parameter Estimation Robustness Of The Global Above-Ground Biomass Estimation Algorithm For Esa’s 7^th Earth Explorer Mission Biomass. Socio-Environmental Systems Modeling. 1756–1759. 1 indexed citations

Melo, Joana, Timothy R. Baker, Dirk Nemitz, S. Quegan, & Guy Ziv. (2023). Satellite-based global maps are rarely used in forest reference levels submitted to the UNFCCC. Environmental Research Letters. 18(3). 34021–34021. 14 indexed citations

Leibovici, Didier, S. Quegan, Edward Comyn‐Platt, et al.. (2020). Spatio-temporal variations and uncertainty in land surface modelling for high latitudes: univariate response analysis. Biogeosciences. 17(7). 1821–1844. 1 indexed citations

d’Alessandro, Mauro Mariotti, Stefano Tebaldini, S. Quegan, et al.. (2020). Interferometric Ground Cancellation for Above Ground Biomass Estimation. IEEE Transactions on Geoscience and Remote Sensing. 58(9). 6410–6419. 18 indexed citations

Santoro, Maurizio, Oliver Cartus, Stéphane Mermoz, et al.. (2018). A detailed portrait of the forest aboveground biomass pool for the year 2010 obtained from multiple remote sensing observations. EGU General Assembly Conference Abstracts. 18932. 13 indexed citations

Scholze, Marko, Michael Buchwitz, Wouter Dorigo, Luis Guanter, & S. Quegan. (2017). Reviews and syntheses: Systematic Earth observations for use in terrestrial carbon cycle data assimilation systems. Biogeosciences. 14(14). 3401–3429. 57 indexed citations

Kantzas, Euripides P., S. Quegan, & M. Lomas. (2015). Improving the representation of fire disturbance in dynamic vegetation models by assimilating satellite data: a case study over the Arctic. Geoscientific model development. 8(8). 2597–2609. 8 indexed citations

10.

Kantzas, Euripides P., S. Quegan, M. Lomas, & Elena Zakharova. (2014). Evaluation of the snow regime in dynamic vegetation land surface models using field measurements. The cryosphere. 8(2). 487–502. 2 indexed citations

11.

Dong, Xichao, et al.. (2013). Classifying Indonesian Plantation And Natural Forest Cover And Measuring Changes With C-And L-Band SAR Data. ESASP. 722. 39. 2 indexed citations

12.

Quegan, S., et al.. (2006). LAND USE/COVER CLASSIFICATION AND RICE MAPPING BASED ON ENVISAT ASAR DATA. ESASP. 611.

13.

Simon, Paul, A. Hollingsworth, Hans Rott, et al.. (2006). The changing earth - new scientific challenges for ESA's living planet programme. Zurich Open Repository and Archive (University of Zurich). 3 indexed citations

14.

Nilsson, Staffan, А. Shvidenko, Ian McCallum, et al.. (2005). Attempting a verified regional terrestrial biota full carbon account: Experiences from Central Siberia. IIASA PURE (International Institute of Applied Systems Analysis). 1 indexed citations

15.

Quegan, S.. (1997). Spotlight synthetic aperture radar: Signal processing algorithms. Journal of Atmospheric and Solar-Terrestrial Physics. 59(5). 597–598. 63 indexed citations

16.

Blacknell, D., et al.. (1995). A statistical description of polarimetric and interferometric synthetic aperture radar data. Proceedings of the Royal Society of London Series A Mathematical and Physical Sciences. 449(1937). 567–589. 157 indexed citations

17.

Sojka, J. J., R. W. Schunk, D. Rees, et al.. (1992). Comparison of the USU ionospheric model with the UCL-Sheffield coupled thermospheric-ionospheric model. Advances in Space Research. 12(6). 89–92. 3 indexed citations

18.

Moffett, R. J., et al.. (1989). Modelling the ionospheric and plasmaspheric plasma. Philosophical Transactions of the Royal Society of London Series A Mathematical and Physical Sciences. 328(1598). 255–270. 12 indexed citations

19.

Quegan, S., et al.. (1989). The influence of convection on the structure of the high-latitude ionosphere. Philosophical Transactions of the Royal Society of London Series A Mathematical and Physical Sciences. 328(1598). 119–137. 5 indexed citations

20.

Quegan, S., et al.. (1988). Automatic interpretation strategies for synthetic aperture radar images. Philosophical Transactions of the Royal Society of London Series A Mathematical and Physical Sciences. 324(1579). 409–421. 8 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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