Laura Duncanson

6.2k total citations · 2 hit papers
79 papers, 3.8k citations indexed

About

Laura Duncanson is a scholar working on Environmental Engineering, Ecology and Global and Planetary Change. According to data from OpenAlex, Laura Duncanson has authored 79 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Environmental Engineering, 37 papers in Ecology and 37 papers in Global and Planetary Change. Recurrent topics in Laura Duncanson's work include Remote Sensing and LiDAR Applications (59 papers), Remote Sensing in Agriculture (34 papers) and Forest ecology and management (30 papers). Laura Duncanson is often cited by papers focused on Remote Sensing and LiDAR Applications (59 papers), Remote Sensing in Agriculture (34 papers) and Forest ecology and management (30 papers). Laura Duncanson collaborates with scholars based in United States, United Kingdom and Germany. Laura Duncanson's co-authors include Ralph Dubayah, John Armston, Steven Hancock, James R. Kellner, G. C. Hurtt, M. A. Hofton, Temilola Fatoyinbo, Hao Tang, Amy Neuenschwander and S. B. Luthcke and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Remote Sensing of Environment.

In The Last Decade

Laura Duncanson

78 papers receiving 3.7k citations

Hit Papers

align trajectories

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.

The Global Ecosystem Dynamics Investigation: High-resolution laser ranging of the Earth’s forests and topography

2020 764 citations Ralph Dubayah, J. B. Blair et al. SHILAP Revista de lepidopterología profile →
GEDI launches a new era of biomass inference from space

2022 137 citations Ralph Dubayah, John Armston et al. Environmental Research Letters profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Laura Duncanson United States	31	2.8k	1.9k	1.8k	1.5k	417	79	3.8k
Hao Tang United States	28	2.6k 0.9×	2.2k 1.1×	1.4k 0.8×	1.6k 1.1×	254 0.6×	101	3.9k
Bruce D. Cook United States	40	2.6k 0.9×	2.8k 1.5×	1.4k 0.8×	2.9k 1.9×	522 1.3×	117	5.5k
Glenn Newnham Australia	32	3.4k 1.2×	2.5k 1.3×	2.3k 1.3×	1.8k 1.2×	1.1k 2.5×	63	5.1k
Mariano Garcı́a Spain	31	1.7k 0.6×	1.6k 0.8×	926 0.5×	1.7k 1.1×	303 0.7×	75	3.0k
Håkan Olsson Sweden	32	3.2k 1.1×	1.7k 0.9×	2.2k 1.3×	906 0.6×	1.2k 2.8×	93	3.9k
Felix Morsdorf Switzerland	37	3.5k 1.2×	2.5k 1.3×	2.1k 1.2×	1.3k 0.9×	991 2.4×	96	4.7k
L. Monika Moskal United States	29	2.4k 0.8×	2.0k 1.0×	1.1k 0.6×	1.2k 0.8×	443 1.1×	75	3.4k
Paul Treitz Canada	36	3.4k 1.2×	2.3k 1.2×	2.0k 1.2×	1.4k 0.9×	1.2k 2.8×	92	4.9k
Sean P. Healey United States	33	2.8k 1.0×	3.2k 1.7×	1.7k 1.0×	3.2k 2.1×	284 0.7×	87	5.5k
Donald G. Leckie Canada	24	1.9k 0.7×	1.7k 0.9×	1.1k 0.6×	990 0.7×	601 1.4×	64	2.9k

Countries citing papers authored by Laura Duncanson

Since Specialization

Citations

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

Fields of papers citing papers by Laura Duncanson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura Duncanson

This figure shows the co-authorship network connecting the top 25 collaborators of Laura Duncanson. A scholar is included among the top collaborators of Laura Duncanson 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 Laura Duncanson. Laura Duncanson 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

Wessels, Konrad, John Armston, Laura Duncanson, et al.. (2024). Evaluation of GEDI footprint level biomass models in Southern African Savannas using airborne LiDAR and field measurements. SHILAP Revista de lepidopterología. 10. 100161–100161. 3 indexed citations

Doughty, Christopher E., Patrick Burns, Yadvinder Malhi, et al.. (2024). Satellite Derived Trait Data Slightly Improves Tropical Forest Biomass, NPP and GPP Estimates. Journal of Geophysical Research Biogeosciences. 129(7).

Solberg, Svein, et al.. (2024). Biomass Change Estimated by TanDEM-X Interferometry and GEDI in a Tanzanian Forest. Remote Sensing. 16(5). 861–861. 1 indexed citations

Kennedy, Robert E., Shawn Serbin, Michael C. Dietze, et al.. (2024). Characterizing and communicating uncertainty: lessons from NASA’s Carbon Monitoring System. Environmental Research Letters. 19(12). 123003–123003. 2 indexed citations

Babcock, Chad, John Armston, Maurizio Santoro, et al.. (2024). A geostatistical approach to enhancing national forest biomass assessments with Earth Observation to aid climate policy needs. Remote Sensing of Environment. 318. 114557–114557. 6 indexed citations

Hancock, Steven, et al.. (2023). Can ICESat-2 estimate stand-level plant structural traits? Validation of an ICESat-2 simulator. SHILAP Revista de lepidopterología. 7. 100086–100086. 4 indexed citations

Duncanson, Laura, Veronika Leitold, John Armston, et al.. (2023). The effectiveness of global protected areas for climate change mitigation. Nature Communications. 14(1). 2908–2908. 82 indexed citations

Fatoyinbo, Temilola, et al.. (2023). Invasion in the Niger Delta: remote sensing of mangrove conversion to invasive Nypa fruticans from 2015 to 2020. Remote Sensing in Ecology and Conservation. 10(1). 5–23. 10 indexed citations

Wilkes, Phil, Mathias Disney, John Armston, et al.. (2023). TLS2trees : A scalable tree segmentation pipeline for TLS data. Methods in Ecology and Evolution. 14(12). 3083–3099. 19 indexed citations

10.

Thomas, Nathan, Mikhail Urbazaev, Atticus Stovall, et al.. (2023). Seasonal flooding provides limitations and opportunities for ecosystem carbon accounting from space. Environmental Research Letters. 18(8). 81002–81002. 3 indexed citations

11.

Demol, Miro, Hans Verbeeck, Bert Gielen, et al.. (2022). Estimating forest above‐ground biomass with terrestrial laser scanning: Current status and future directions. Methods in Ecology and Evolution. 13(8). 1628–1639. 72 indexed citations

12.

Saarela, Svetlana, Sören Holm, Sean P. Healey, et al.. (2022). Comparing frameworks for biomass prediction for the Global Ecosystem Dynamics Investigation. Remote Sensing of Environment. 278. 113074–113074. 27 indexed citations

13.

Dubayah, Ralph, John Armston, Sean P. Healey, et al.. (2022). GEDI launches a new era of biomass inference from space. Environmental Research Letters. 17(9). 95001–95001. 137 indexed citations breakdown →

14.

Sedano, F., Sá Nogueira Lisboa, Ritvik Sahajpal, et al.. (2021). The connection between forest degradation and urban energy demand in sub-Saharan Africa: a characterization based on high-resolution remote sensing data. Environmental Research Letters. 16(6). 64020–64020. 8 indexed citations

15.

Schneider, Fabian, António Ferraz, Steven Hancock, et al.. (2020). Towards mapping the diversity of canopy structure from space with GEDI. Environmental Research Letters. 15(11). 115006–115006. 99 indexed citations

16.

Sedano, F., Sá Nogueira Lisboa, Laura Duncanson, et al.. (2019). Monitoring forest degradation from charcoal production with historical Landsat imagery. A case study in southern Mozambique. Environmental Research Letters. 15(1). 15001–15001. 28 indexed citations

17.

Hancock, Steven, M. A. Hofton, J. B. Blair, et al.. (2019). An open source tool to reduce geolocation uncertainty in GEDI data. AGUFM. 2019. 4 indexed citations

18.

Magruder, Lori A., Amy Neuenschwander, T. Neumann, et al.. (2019). NASA's ICESat-2 and GEDI missions for land and vegetation applications. EGU General Assembly Conference Abstracts. 18424. 2 indexed citations

19.

Duncanson, Laura, Steven Hancock, Amy Neuenschwander, et al.. (2018). Fusing GEDI, ICESat-2 and NISAR data for aboveground biomass mapping in Sonoma County, California, USA. AGU Fall Meeting Abstracts. 2018. 2 indexed citations

20.

Lavalle, Marco, S. Hensley, Yunling Lou, et al.. (2016). Canopy Height and Vertical Structure from Multibaseline Polarimetric InSAR: First Results of the 2016 NASA/ESA AfriSAR Campaign. AGU Fall Meeting Abstracts. 2016. 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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