Amy Woodget

1.1k total citations · 1 hit paper
17 papers, 783 citations indexed

About

Amy Woodget is a scholar working on Environmental Engineering, Ecology and Geology. According to data from OpenAlex, Amy Woodget has authored 17 papers receiving a total of 783 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Environmental Engineering, 9 papers in Ecology and 7 papers in Geology. Recurrent topics in Amy Woodget's work include Remote Sensing and LiDAR Applications (14 papers), Hydrology and Sediment Transport Processes (9 papers) and 3D Surveying and Cultural Heritage (7 papers). Amy Woodget is often cited by papers focused on Remote Sensing and LiDAR Applications (14 papers), Hydrology and Sediment Transport Processes (9 papers) and 3D Surveying and Cultural Heritage (7 papers). Amy Woodget collaborates with scholars based in United Kingdom, United States and Spain. Amy Woodget's co-authors include Patrice Carbonneau, Ian Maddock, Fleur Visser, Evelyn Habit, Catriona Fyffe, J. Dietrich, Robin Wilson, Toby P. Breckon, Mark A. Fonstad and Hitoshi Miyamoto and has published in prestigious journals such as Remote Sensing of Environment, International Journal of Remote Sensing and Remote Sensing.

In The Last Decade

Amy Woodget

17 papers receiving 764 citations

Hit Papers

Quantifying submerged fluvial topography using hyperspati... 2014 2026 2018 2022 2014 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amy Woodget United Kingdom 10 440 432 252 208 191 17 783
Elina Kasvi Finland 16 286 0.7× 523 1.2× 154 0.6× 251 1.2× 244 1.3× 33 820
Luke Javernick Italy 5 323 0.7× 289 0.7× 243 1.0× 163 0.8× 113 0.6× 5 567
Fleur Visser United Kingdom 9 293 0.7× 311 0.7× 168 0.7× 125 0.6× 138 0.7× 18 525
Niels Anders Netherlands 11 286 0.7× 294 0.7× 96 0.4× 142 0.7× 137 0.7× 26 629
Philippe Grandjean France 16 293 0.7× 213 0.5× 240 1.0× 71 0.3× 93 0.5× 25 691
Cornelis Stal Belgium 13 364 0.8× 170 0.4× 336 1.3× 135 0.6× 85 0.4× 61 721
B. T. Overstreet United States 18 366 0.8× 404 0.9× 111 0.4× 106 0.5× 182 1.0× 34 915
Justin Butler United Kingdom 7 197 0.4× 495 1.1× 88 0.3× 283 1.4× 88 0.5× 8 661
Claude Flener Finland 7 222 0.5× 239 0.6× 113 0.4× 123 0.6× 128 0.7× 11 416
Fabian Neugirg Germany 9 503 1.1× 241 0.6× 405 1.6× 285 1.4× 95 0.5× 15 827

Countries citing papers authored by Amy Woodget

Since Specialization
Citations

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

Fields of papers citing papers by Amy Woodget

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amy Woodget

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

All Works

17 of 17 papers shown
1.
Legleiter, Carl J., Tamlin M. Pavelsky, Michael Durand, et al.. (2020). Editorial for the Special Issue “Remote Sensing of Flow Velocity, Channel Bathymetry, and River Discharge”. Remote Sensing. 12(14). 2304–2304. 2 indexed citations
2.
Woodget, Amy, et al.. (2020). Spatial validation of submerged fluvial topographic models by mesohabitat units. International Journal of Remote Sensing. 42(7). 2391–2416. 5 indexed citations
3.
Carbonneau, Patrice, Stephen J. Dugdale, Toby P. Breckon, et al.. (2020). Adopting deep learning methods for airborne RGB fluvial scene classification. Remote Sensing of Environment. 251. 112107–112107. 77 indexed citations
4.
Fyffe, Catriona, Amy Woodget, Martin P. Kirkbride, et al.. (2020). Processes at the margins of supraglacial debris cover: Quantifying dirty ice ablation and debris redistribution. Earth Surface Processes and Landforms. 45(10). 2272–2290. 42 indexed citations
5.
Carbonneau, Patrice, Toby P. Breckon, J. Dietrich, et al.. (2019). Generalised classification of hyperspatial resolution airborne imagery of fluvial scenes with deep convolutional neural networks.. EGUGA. 1865. 2 indexed citations
6.
Woodget, Amy, J. Dietrich, & Robin Wilson. (2019). Quantifying Below-Water Fluvial Geomorphic Change: The Implications of Refraction Correction, Water Surface Elevations, and Spatially Variable Error. Remote Sensing. 11(20). 2415–2415. 32 indexed citations
7.
Visser, Fleur, et al.. (2019). An evaluation of a low-cost pole aerial photography (PAP) and structure from motion (SfM) approach for topographic surveying of small rivers. International Journal of Remote Sensing. 40(24). 9321–9351. 15 indexed citations
8.
Milas, Anita Šimić, Joaquim J. Sousa, Timothy A. Warner, et al.. (2018). Unmanned Aerial Systems (UAS) for environmental applications special issue preface. International Journal of Remote Sensing. 39(15-16). 4845–4851. 12 indexed citations
9.
Woodget, Amy, et al.. (2017). Drones and digital photogrammetry: from classifications to continuums for monitoring river habitat and hydromorphology. Wiley Interdisciplinary Reviews Water. 4(4). 112 indexed citations
10.
Woodget, Amy, et al.. (2017). Subaerial gravel size measurement using topographic data derived from a UAV‐SfM approach. Earth Surface Processes and Landforms. 42(9). 1434–1443. 73 indexed citations
11.
Woodget, Amy, Catriona Fyffe, & Patrice Carbonneau. (2017). From manned to unmanned aircraft: Adapting airborne particle size mapping methodologies to the characteristics of sUAS and SfM. Earth Surface Processes and Landforms. 43(4). 857–870. 50 indexed citations
12.
Woodget, Amy, Fleur Visser, Ian Maddock, & Patrice Carbonneau. (2016). The Accuracy and Reliability of Traditional Surface Flow Type Mapping: Is it Time for a New Method of Characterizing Physical River Habitat?. River Research and Applications. 32(9). 1902–1914. 29 indexed citations
13.
Woodget, Amy, Fleur Visser, Ian Maddock, & Patrice Carbonneau. (2015). Quantifying Fluvial Substrate Size using Hyperspatial Resolution UAS Imagery and SfM-photogrammetry. Worcester Research and Publications (University of Worcester). 4 indexed citations
14.
Woodget, Amy, Patrice Carbonneau, Fleur Visser, & Ian Maddock. (2014). Quantifying submerged fluvial topography using hyperspatial resolution UAS imagery and structure from motion photogrammetry. Earth Surface Processes and Landforms. 40(1). 47–64. 320 indexed citations breakdown →
15.
Woodget, Amy. (2014). Quantifying fluvial topography using UAS imagery and SfM-photogrammetry. Worcester Research and Publications (University of Worcester). 664. 3 indexed citations
16.
Woodget, Amy. (2013). High resolution remote sensing from a UAV for quantifying fluvial topography. Worcester Research and Publications (University of Worcester). 1 indexed citations
17.
Woodget, Amy, Daniel N.M. Donoghue, & Patrice Carbonneau. (2007). An assessment of airborne lidar for forest growth studies. University of Zagreb University Computing Centre (SRCE). 47–52. 4 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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