Chloe Brown

1.1k total citations
23 papers, 337 citations indexed

About

Chloe Brown is a scholar working on Aerospace Engineering, Environmental Engineering and Ecology. According to data from OpenAlex, Chloe Brown has authored 23 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Aerospace Engineering, 9 papers in Environmental Engineering and 7 papers in Ecology. Recurrent topics in Chloe Brown's work include Synthetic Aperture Radar (SAR) Applications and Techniques (11 papers), Remote Sensing and LiDAR Applications (5 papers) and Landslides and related hazards (5 papers). Chloe Brown is often cited by papers focused on Synthetic Aperture Radar (SAR) Applications and Techniques (11 papers), Remote Sensing and LiDAR Applications (5 papers) and Landslides and related hazards (5 papers). Chloe Brown collaborates with scholars based in United Kingdom, United States and Hong Kong. Chloe Brown's co-authors include Kamal Sarabandi, L.E. Pierce, Doreen S. Boyd, Sofie Sjögersten, Bethany Jackson, Christopher H. Vane, Jessica L. Decker Sparks, Giles M. Foody, T. Enters and P. B. Durst and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Geoscience and Remote Sensing and Geoderma.

In The Last Decade

Chloe Brown

23 papers receiving 304 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chloe Brown United Kingdom 10 106 86 86 67 63 23 337
Belachew Gizachew Norway 11 176 1.7× 90 1.0× 126 1.5× 25 0.4× 133 2.1× 17 346
Till Neeff Brazil 12 251 2.4× 127 1.5× 164 1.9× 74 1.1× 164 2.6× 27 495
Thomas Schauppenlehner Austria 11 210 2.0× 60 0.7× 80 0.9× 44 0.7× 24 0.4× 21 542
Rolando Salas López Peru 13 190 1.8× 153 1.8× 81 0.9× 13 0.2× 62 1.0× 51 516
Edwin Willem Hermanus Keizer Brazil 5 248 2.3× 79 0.9× 99 1.2× 15 0.2× 181 2.9× 7 396
Chaoyang Feng China 14 203 1.9× 193 2.2× 83 1.0× 12 0.2× 73 1.2× 33 531
I‐Kuai Hung United States 11 95 0.9× 165 1.9× 194 2.3× 31 0.5× 102 1.6× 61 429
Dominic Fawcett United Kingdom 11 253 2.4× 234 2.7× 182 2.1× 17 0.3× 99 1.6× 16 536
L. J. de O. Accioly Brazil 8 98 0.9× 121 1.4× 134 1.6× 10 0.1× 30 0.5× 17 325
Max Messinger United States 5 92 0.9× 138 1.6× 116 1.3× 30 0.4× 64 1.0× 6 389

Countries citing papers authored by Chloe Brown

Since Specialization
Citations

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

Fields of papers citing papers by Chloe Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chloe Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Chloe Brown. A scholar is included among the top collaborators of Chloe Brown 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 Chloe Brown. Chloe Brown 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.
Brown, Chloe, et al.. (2024). Remote Sensing for Restoration Change Monitoring in Tropical Peat Swamp Forests in Malaysia. Remote Sensing. 16(15). 2690–2690. 3 indexed citations
2.
Sowter, Andrew, Keith Morrison, Chris Evans, et al.. (2024). Potential of APSIS-InSAR for measuring surface oscillations of tropical peatlands. PLoS ONE. 19(2). e0298939–e0298939. 1 indexed citations
3.
Brown, Chloe, Doreen S. Boyd, Sofie Sjögersten, & Christopher H. Vane. (2023). Detecting tropical peatland degradation: Combining remote sensing and organic geochemistry. PLoS ONE. 18(3). e0280187–e0280187. 7 indexed citations
4.
Evans, Chris, David J. Large, Stephanie Evers, et al.. (2023). Tropical peat surface oscillations are a function of peat condition at North Selangor peat swamp forest, Malaysia. Frontiers in Environmental Science. 11. 2 indexed citations
6.
Aichelman, Hannah E., et al.. (2021). Distinct Phenotypes Associated with Mangrove and Lagoon Habitats in Two Widespread Caribbean Corals, Porites astreoides and Porites divaricata. Biological Bulletin. 240(3). 169–190. 5 indexed citations
7.
Sjögersten, Sofie, Chloe Brown, Doreen S. Boyd, et al.. (2021). Coastal wetland ecosystems deliver large carbon stocks in tropical Mexico. Geoderma. 403. 115173–115173. 27 indexed citations
8.
Brown, Chloe, et al.. (2020). Investigating the Potential of Radar Interferometry for Monitoring Rural Artisanal Cobalt Mines in the Democratic Republic of the Congo. Sustainability. 12(23). 9834–9834. 12 indexed citations
9.
Jackson, Bethany, Jessica L. Decker Sparks, Chloe Brown, & Doreen S. Boyd. (2020). Understanding the co‐occurrence of tree loss and modern slavery to improve efficacy of conservation actions and policies. Conservation Science and Practice. 2(5). 15 indexed citations
10.
Brown, Chloe, Doreen S. Boyd, Sofie Sjögersten, et al.. (2018). Tropical Peatland Vegetation Structure and Biomass: Optimal Exploitation of Airborne Laser Scanning. Remote Sensing. 10(5). 671–671. 13 indexed citations
11.
Dawson, Terence P., Mark Cutler, & Chloe Brown. (2016). The role of remote sensing in the development of SMART indicators for ecosystem services assessment. Biodiversity. 17(4). 136–148. 4 indexed citations
12.
Brown, Chloe, Kamal Sarabandi, & L.E. Pierce. (2009). Model-Based Estimation of Forest Canopy Height in Red and Austrian Pine Stands Using Shuttle Radar Topography Mission and Ancillary Data: A Proof-of-Concept Study. IEEE Transactions on Geoscience and Remote Sensing. 48(3). 1105–1118. 26 indexed citations
13.
Brown, Chloe & Kamal Sarabandi. (2004). Estimation of red pine tree height using Shuttle Radar Topography Mission and ancillary data. 4. 2850–2852. 16 indexed citations
14.
Sarabandi, Kamal, Chloe Brown, L.E. Pierce, et al.. (2003). Calibration and validation of the Shuttle Radar Topography Mission height data for southeastern Michigan. 1. 167–169. 6 indexed citations
15.
Sarabandi, Kamal, Chloe Brown, & L.E. Pierce. (2003). Tree height estimation from the polarimetric and interferometric radar response. 4. 1986–1988. 3 indexed citations
16.
Brown, Chloe, et al.. (2003). Physics-based simulation of high-resolution polarimetric SAR images of forested areas. 1. 466–468. 3 indexed citations
17.
Sarabandi, Kamal, et al.. (2002). Calibration of the Shuttle Radar Topography Mission using point and distributed targets. 6. 2718–2720. 4 indexed citations
18.
Brown, Chloe & Kamal Sarabandi. (2002). Geometrical and physical optics solutions for the backscatter radar cross section of tophat calibration targets. 6. 2715–2717. 1 indexed citations
19.
Brown, Chloe, P. B. Durst, & T. Enters. (2001). Forests out of bounds: impacts and effectiveness of logging bans in natural forests in Asia-Pacific. Executive summary.. 9 indexed citations
20.
Brown, Chloe, et al.. (2000). Teak: a global overview. 51(201). 1–14. 98 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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