Daniel Clewley

1.8k total citations
51 papers, 1.2k citations indexed

About

Daniel Clewley is a scholar working on Environmental Engineering, Ecology and Atmospheric Science. According to data from OpenAlex, Daniel Clewley has authored 51 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Environmental Engineering, 21 papers in Ecology and 10 papers in Atmospheric Science. Recurrent topics in Daniel Clewley's work include Remote Sensing and LiDAR Applications (18 papers), Remote Sensing in Agriculture (14 papers) and Soil Moisture and Remote Sensing (9 papers). Daniel Clewley is often cited by papers focused on Remote Sensing and LiDAR Applications (18 papers), Remote Sensing in Agriculture (14 papers) and Soil Moisture and Remote Sensing (9 papers). Daniel Clewley collaborates with scholars based in United Kingdom, United States and Australia. Daniel Clewley's co-authors include Richard Lucas, Peter Bunting, Víctor Martínez-Vicente, Lauren Biermann, Konstantinos Topouzelis, John Armston, Mahta Moghaddam, Sam Gillingham, John M. Dwyer and João M. B. Carreiras and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Remote Sensing of Environment.

In The Last Decade

Daniel Clewley

48 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
Daniel Clewley United Kingdom 20 593 513 282 200 194 51 1.2k
Glenda García-Santos Switzerland 14 256 0.4× 503 1.0× 390 1.4× 169 0.8× 196 1.0× 20 1.2k
Offer Rozenstein Israel 22 565 1.0× 599 1.2× 562 2.0× 52 0.3× 352 1.8× 42 1.6k
Stephen McNeill New Zealand 17 498 0.8× 477 0.9× 366 1.3× 32 0.2× 209 1.1× 55 1.6k
Yichao Tian China 18 432 0.7× 526 1.0× 683 2.4× 58 0.3× 261 1.3× 35 1.5k
Shihua Li China 22 392 0.7× 854 1.7× 457 1.6× 26 0.1× 213 1.1× 102 1.5k
Wenjie Fan China 23 693 1.2× 600 1.2× 672 2.4× 160 0.8× 518 2.7× 154 1.8k
Antonino Maltese Italy 17 369 0.6× 257 0.5× 328 1.2× 43 0.2× 192 1.0× 84 1.0k
Eyal Ben Dor Israel 18 656 1.1× 375 0.7× 193 0.7× 50 0.3× 141 0.7× 55 1.3k
Joo‐Hyung Ryu South Korea 24 231 0.4× 641 1.2× 755 2.7× 106 0.5× 421 2.2× 130 2.4k
Els Knaeps Belgium 17 259 0.4× 438 0.9× 400 1.4× 176 0.9× 104 0.5× 37 1.4k

Countries citing papers authored by Daniel Clewley

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Clewley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Clewley

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Clewley. A scholar is included among the top collaborators of Daniel Clewley 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 Daniel Clewley. Daniel Clewley 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
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Davies, Bede Ffinian Rowe, Philippe Rosa, María Laura Zoffoli, et al.. (2024). A sentinel watching over inter-tidal seagrass phenology across Western Europe and North Africa. Communications Earth & Environment. 5(1). 8 indexed citations
3.
Davies, Bede Ffinian Rowe, Philippe Rosa, María Laura Zoffoli, et al.. (2024). Intertidal seagrass extent from Sentinel-2 time-series show distinct trajectories in Western Europe. Remote Sensing of Environment. 312. 114340–114340. 8 indexed citations
4.
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
5.
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Clewley, Daniel, et al.. (2022). Detection and Classification of Floating Plastic Litter Using a Vessel-Mounted Video Camera and Deep Learning. Remote Sensing. 14(14). 3425–3425. 31 indexed citations
7.
Clewley, Daniel, et al.. (2022). Active Layer Thickness Throughout Northern Alaska by Upscaling from P-Band Polarimetric Sar Retrievals. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. 1 indexed citations
8.
Owers, Christopher J., Richard Lucas, Daniel Clewley, et al.. (2021). Living Earth: Implementing national standardised land cover classification systems for Earth Observation in support of sustainable development. Big Earth Data. 5(3). 368–390. 12 indexed citations
9.
Biermann, Lauren, Daniel Clewley, Víctor Martínez-Vicente, & Konstantinos Topouzelis. (2020). Detecting and Identifying Floating Plastic Debris in Coastal Waters using Sentinel-2 Earth Observation Data.
10.
Biermann, Lauren, Daniel Clewley, Víctor Martínez-Vicente, & Konstantinos Topouzelis. (2020). Finding Plastic Patches in Coastal Waters using Optical Satellite Data. Scientific Reports. 10(1). 5364–5364. 208 indexed citations
11.
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
12.
Warren, Mark, et al.. (2017). Characterization of Unstable Blinking Pixels in the AisaOWL Thermal Hyperspectral Imager. IEEE Transactions on Geoscience and Remote Sensing. 56(3). 1695–1703. 4 indexed citations
13.
Moghaddam, Mahta, et al.. (2014). Wetland Maps of Central Canada based on L-band SAR Imagery. 2014 AGU Fall Meeting. 2013. 1 indexed citations
14.
Lucas, Richard, Daniel Clewley, Arnon Accad, et al.. (2014). Mapping forest growth and degradation stage in the Brigalow Belt Bioregion of Australia through integration of ALOS PALSAR and Landsat-derived foliage projective cover data. Remote Sensing of Environment. 155. 42–57. 27 indexed citations
15.
Siqueira, Paul, et al.. (2013). Classification of forest composition using polarimetric decomposition in multiple landscapes. Remote Sensing of Environment. 131. 206–214. 29 indexed citations
16.
Burgin, Mariko, Daniel Clewley, Richard Lucas, & Mahta Moghaddam. (2011). A Generalized Radar Backscattering Model Based on Wave Theory for Multilayer Multispecies Vegetation. IEEE Transactions on Geoscience and Remote Sensing. 49(12). 4832–4845. 55 indexed citations
17.
Bunting, Peter, John Armston, Daniel Clewley, & Richard Lucas. (2011). The Sorted Pulse Data Software Library (SPDLib): open source tools for processing LiDAR data.. 1–11. 4 indexed citations
18.
Comber, Alexis, et al.. (2010). Managing uncertainty when aggregating from pixels to objects: habitats, context-sensitive mapping and possibility theory. International Journal of Remote Sensing. 31(4). 1061–1068. 4 indexed citations
19.
Lucas, Richard, et al.. (2010). Updating the Phase 1 habitat map of Wales, UK, using satellite sensor data. ISPRS Journal of Photogrammetry and Remote Sensing. 66(1). 81–102. 74 indexed citations
20.
Lucas, Richard, John Armston, R. J. Fairfax, et al.. (2010). An Evaluation of the ALOS PALSAR L-Band Backscatter—Above Ground Biomass Relationship Queensland, Australia: Impacts of Surface Moisture Condition and Vegetation Structure. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 3(4). 576–593. 209 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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