William Woodgate

4.0k total citations
53 papers, 1.2k citations indexed

About

William Woodgate is a scholar working on Global and Planetary Change, Ecology and Environmental Engineering. According to data from OpenAlex, William Woodgate has authored 53 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Global and Planetary Change, 30 papers in Ecology and 27 papers in Environmental Engineering. Recurrent topics in William Woodgate's work include Remote Sensing in Agriculture (30 papers), Plant Water Relations and Carbon Dynamics (24 papers) and Remote Sensing and LiDAR Applications (21 papers). William Woodgate is often cited by papers focused on Remote Sensing in Agriculture (30 papers), Plant Water Relations and Carbon Dynamics (24 papers) and Remote Sensing and LiDAR Applications (21 papers). William Woodgate collaborates with scholars based in Australia, United States and France. William Woodgate's co-authors include Phil Wilkes, Lola Suárez, Simon Jones, Mathias Disney, Mariela Soto‐Berelov, Kim Calders, Vanessa Haverd, Matthias Cuntz, Peter Briggs and Josep G. Canadell and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and Geophysical Research Letters.

In The Last Decade

William Woodgate

50 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
William Woodgate Australia 18 663 598 563 325 230 53 1.2k
Ricardo Dalagnol Brazil 21 839 1.3× 633 1.1× 533 0.9× 322 1.0× 108 0.5× 62 1.4k
Hua Sun China 22 484 0.7× 741 1.2× 727 1.3× 446 1.4× 119 0.5× 74 1.3k
Qin Ma China 25 646 1.0× 702 1.2× 946 1.7× 458 1.4× 279 1.2× 57 1.7k
Ronghai Hu China 19 569 0.9× 872 1.5× 666 1.2× 222 0.7× 345 1.5× 53 1.3k
Cibele Hummel do Amaral Brazil 21 350 0.5× 499 0.8× 352 0.6× 173 0.5× 197 0.9× 50 947
Dengqiu Li China 16 542 0.8× 678 1.1× 554 1.0× 348 1.1× 78 0.3× 38 1.0k
Magdalena Main‐Knorn Germany 10 440 0.7× 586 1.0× 397 0.7× 129 0.4× 95 0.4× 20 1.0k
Karin S. Fassnacht United States 7 551 0.8× 805 1.3× 494 0.9× 263 0.8× 360 1.6× 8 1.1k
Mariela Soto‐Berelov Australia 18 556 0.8× 687 1.1× 526 0.9× 298 0.9× 79 0.3× 55 1.1k
T. Maiersperger United States 10 797 1.2× 1.2k 2.1× 695 1.2× 292 0.9× 284 1.2× 14 1.6k

Countries citing papers authored by William Woodgate

Since Specialization
Citations

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

Fields of papers citing papers by William Woodgate

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William Woodgate

This figure shows the co-authorship network connecting the top 25 collaborators of William Woodgate. A scholar is included among the top collaborators of William Woodgate 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 William Woodgate. William Woodgate 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.
Stephens, Clare, Belinda E. Medlyn, Laura Williams, et al.. (2025). The Response and Recovery of Carbon and Water Fluxes in Australian Ecosystems Exposed to Severe Drought. Global Change Biology. 31(7). e70361–e70361. 1 indexed citations
2.
Calders, Kim, et al.. (2025). RayExtract: A fast, scalable method for tree volume reconstruction from terrestrial laser scanning. Remote Sensing of Environment. 334. 115162–115162.
3.
Runkle, Benjamin R. K., Mallory L. Barnes, Matthew P. Dannenberg, et al.. (2025). Near-surface remote sensing applications for a robust, climate-smart measurement, monitoring, and information system (MMIS). Carbon Management. 16(1).
4.
Javadian, Mostafa, Russell L. Scott, William Woodgate, et al.. (2024). Canopy temperature dynamics are closely aligned with ecosystem water availability across a water- to energy-limited gradient. Agricultural and Forest Meteorology. 357. 110206–110206. 4 indexed citations
5.
Calders, Kim, Niall Origo, Louise Terryn, et al.. (2024). Bitemporal Radiative Transfer Modeling Using Bitemporal 3D-Explicit Forest Reconstruction from Terrestrial Laser Scanning. Remote Sensing. 16(19). 3639–3639. 2 indexed citations
6.
Woodgate, William, et al.. (2024). Bushfire recovery at a long-term tall eucalypt flux site through the lens of a satellite: Combining multi-scale data for structural-functional insight. Remote Sensing of Environment. 317. 114530–114530. 2 indexed citations
7.
Liu, Chang, Kim Calders, Niall Origo, et al.. (2023). Reconstructing the digital twin of forests from a 3D library: Quantifying trade-offs for radiative transfer modeling. Remote Sensing of Environment. 298. 113832–113832. 9 indexed citations
8.
Mallick, Kaniska, Dennis Baldocchi, Andrew Jarvis, et al.. (2022). Insights Into the Aerodynamic Versus Radiometric Surface Temperature Debate in Thermal‐Based Evaporation Modeling. Geophysical Research Letters. 49(15). 20 indexed citations
9.
Bhattacharya, Bimal K., Kaniska Mallick, Ross Morrison, et al.. (2022). A coupled ground heat flux–surface energy balance model of evaporation using thermal remote sensing observations. Biogeosciences. 19(23). 5521–5551. 13 indexed citations
10.
Calders, Kim, Félicien Meunier, Jean‐Philippe Gastellu‐Etchegorry, et al.. (2022). Implications of 3D Forest Stand Reconstruction Methods for Radiative Transfer Modeling: A Case Study in the Temperate Deciduous Forest. Journal of Geophysical Research Atmospheres. 127(14). 16 indexed citations
11.
Malenovský, Zbyněk, et al.. (2022). Spectral Retrieval of Eucalypt Leaf Biochemical Traits by Inversion of the Fluspect-Cx Model. Remote Sensing. 14(3). 567–567. 8 indexed citations
12.
Arndt, Stefan K., Lauren T. Bennett, Jürgen Knauer, et al.. (2021). Thermal optima of gross primary productivity are closely aligned with mean air temperatures across Australian wooded ecosystems. Global Change Biology. 27(19). 4727–4744. 29 indexed citations
13.
Song, Rui, Jan‐Peter Müller, William Woodgate, et al.. (2020). Validation of Space-Based Albedo Products from Upscaled Tower-Based Measurements Over Heterogeneous and Homogeneous Landscapes. Remote Sensing. 12(5). 833–833. 17 indexed citations
14.
Woodgate, William, Eva van Gorsel, Dale Hughes, et al.. (2020). THEMS: an automated thermal and hyperspectral proximal sensing system for canopy reflectance, radiance and temperature. Plant Methods. 16(1). 105–105. 15 indexed citations
15.
Song, Rui, et al.. (2019). Intercomparison of Surface Albedo Retrievals from MISR, MODIS, CGLS Using Tower and Upscaled Tower Measurements. Remote Sensing. 11(6). 644–644. 24 indexed citations
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18.
Wilkes, Phil, Simon Jones, Lola Suárez, et al.. (2015). Using discrete‐return airborne laser scanning to quantify number of canopy strata across diverse forest types. Methods in Ecology and Evolution. 7(6). 700–712. 38 indexed citations
19.
Wilkes, Phil, Simon Jones, Lola Suárez, et al.. (2015). Mapping Forest Canopy Height Across Large Areas by Upscaling ALS Estimates with Freely Available Satellite Data. Remote Sensing. 7(9). 12563–12587. 51 indexed citations
20.
Woodgate, William. (2015). In-situ Leaf Area Index estimate uncertainty in forests: supporting Earth Observation product calibration and validation. RMIT Research Repository (RMIT University Library). 5 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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