David P. Roy

35.6k total citations · 17 hit papers
206 papers, 19.4k citations indexed

About

David P. Roy is a scholar working on Ecology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, David P. Roy has authored 206 papers receiving a total of 19.4k indexed citations (citations by other indexed papers that have themselves been cited), including 116 papers in Ecology, 109 papers in Global and Planetary Change and 61 papers in Environmental Engineering. Recurrent topics in David P. Roy's work include Remote Sensing in Agriculture (111 papers), Fire effects on ecosystems (58 papers) and Atmospheric and Environmental Gas Dynamics (48 papers). David P. Roy is often cited by papers focused on Remote Sensing in Agriculture (111 papers), Fire effects on ecosystems (58 papers) and Atmospheric and Environmental Gas Dynamics (48 papers). David P. Roy collaborates with scholars based in United States, Canada and United Kingdom. David P. Roy's co-authors include Luigi Boschetti, Lin Yan, Éric Vermote, Junchang Ju, Louis Giglio, Christopher O. Justice, Hankui K. Zhang, V. Kovalskyy, Robert E. Wolfe and P. Lewis and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and Remote Sensing of Environment.

In The Last Decade

David P. Roy

196 papers receiving 18.6k citations

Hit Papers

An overview of MODIS Land data processing and product status 2002 2026 2010 2018 2002 2002 2016 2018 2009 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David P. Roy United States 66 12.8k 11.3k 5.7k 4.3k 2.4k 206 19.4k
Dar A. Roberts United States 73 10.3k 0.8× 10.7k 0.9× 6.6k 1.2× 3.7k 0.9× 3.8k 1.6× 306 20.3k
Christopher O. Justice United States 43 9.5k 0.7× 6.1k 0.5× 2.9k 0.5× 3.6k 0.8× 801 0.3× 70 12.5k
Russell G. Congalton United States 39 9.0k 0.7× 10.5k 0.9× 5.4k 1.0× 3.3k 0.8× 3.8k 1.6× 131 18.3k
Emilio Chuvieco Spain 71 11.8k 0.9× 7.8k 0.7× 4.5k 0.8× 1.9k 0.4× 710 0.3× 223 14.9k
Susan L. Ustin United States 77 9.0k 0.7× 14.7k 1.3× 6.9k 1.2× 2.7k 0.6× 2.2k 0.9× 329 21.1k
Éric Vermote United States 68 24.5k 1.9× 14.3k 1.3× 8.3k 1.5× 16.1k 3.7× 2.2k 0.9× 160 34.2k
Noel Gorelick United States 34 9.1k 0.7× 7.2k 0.6× 4.2k 0.7× 3.4k 0.8× 976 0.4× 56 16.7k
Zhe Zhu United States 41 6.7k 0.5× 7.4k 0.7× 3.7k 0.7× 2.6k 0.6× 2.6k 1.1× 114 12.0k
Philip E. Dennison United States 53 6.2k 0.5× 4.0k 0.4× 2.0k 0.4× 1.9k 0.4× 1.2k 0.5× 143 9.5k
Curtis E. Woodcock United States 87 17.5k 1.4× 19.1k 1.7× 10.9k 1.9× 7.0k 1.6× 5.5k 2.3× 221 31.0k

Countries citing papers authored by David P. Roy

Since Specialization
Citations

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

Fields of papers citing papers by David P. Roy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David P. Roy. 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 David P. Roy. The network helps show where David P. Roy may publish in the future.

Co-authorship network of co-authors of David P. Roy

This figure shows the co-authorship network connecting the top 25 collaborators of David P. Roy. A scholar is included among the top collaborators of David P. Roy 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 David P. Roy. David P. Roy 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.
Liu, Hao, Hankui K. Zhang, Bo Huang, et al.. (2024). Reconstruction of seamless harmonized Landsat Sentinel-2 (HLS) time series via self-supervised learning. Remote Sensing of Environment. 308. 114191–114191. 15 indexed citations
2.
Gao, Shuai, Xiaoyang Zhang, Hankui K. Zhang, et al.. (2024). A new constant scattering angle solar geometry definition for normalization of GOES-R ABI reflectance times series to support land surface phenology studies. Remote Sensing of Environment. 315. 114407–114407. 2 indexed citations
3.
Roy, David P., et al.. (2024). Multi-resolution monitoring of the 2023 maui wildfires, implications and needs for satellite-based wildfire disaster monitoring. SHILAP Revista de lepidopterología. 10. 100142–100142. 8 indexed citations
5.
Chen, Jiquan, Ranjeet John, Changliang Shao, et al.. (2021). Towards a Single Integrative Metric on the Dynamics of Social-Environmental Systems. Sustainability. 13(20). 11246–11246. 4 indexed citations
6.
Egorov, Alexey, David P. Roy, Hankui K. Zhang, et al.. (2019). Landsat 4, 5 and 7 (1982 to 2017) Analysis Ready Data (ARD) Observation Coverage over the Conterminous United States and Implications for Terrestrial Monitoring. Remote Sensing. 11(4). 447–447. 50 indexed citations
7.
Roy, David P., Haiyan Huang, Luigi Boschetti, et al.. (2019). Landsat-8 and Sentinel-2 burned area mapping - A combined sensor multi-temporal change detection approach. Remote Sensing of Environment. 231. 111254–111254. 192 indexed citations
8.
Crawford, Christopher J., J. G. Masek, David P. Roy, Curtis E. Woodcock, & Michael A. Wulder. (2017). Requirements, Science, and Measurements for Landsat 10 and Beyond: Perspectives from the Landsat Science Team. AGUFM. 2017. 1 indexed citations
9.
Li, Zhongbin, Hankui K. Zhang, David P. Roy, et al.. (2017). Landsat 15-m Panchromatic-Assisted Downscaling (LPAD) of the 30-m Reflective Wavelength Bands to Sentinel-2 20-m Resolution. Remote Sensing. 9(7). 755–755. 31 indexed citations
10.
Huang, Haiyan, David P. Roy, Luigi Boschetti, et al.. (2016). Separability Analysis of Sentinel-2A Multi-Spectral Instrument (MSI) Data for Burned Area Discrimination. Remote Sensing. 8(10). 873–873. 131 indexed citations
11.
White, Emma & David P. Roy. (2015). A contemporary decennial examination of changing agricultural field sizes using Landsat time series data. SHILAP Revista de lepidopterología. 2(1). 33–54. 47 indexed citations
12.
Boschetti, Luigi, David P. Roy, Andrea Baraldi, & M. L. Humber. (2013). MODIS-Landsat data fusion for automated continental 30 m burned area mapping. AGUFM. 2013. 1 indexed citations
14.
Naggara, Olivier, Félix Alexandre Antunes Soares, Emmanuel Touzé, et al.. (2011). Is It Possible to Recognize Cervical Artery Dissection on Stroke Brain MR Imaging? A Matched Case-Control Study. American Journal of Neuroradiology. 32(5). 869–873. 14 indexed citations
16.
Pedelty, J. A., Sadashiva Devadiga, Edward J. Masuoka, et al.. (2007). Generating a long-term land data record from the AVHRR and MODIS Instruments. 1021–1025. 159 indexed citations
17.
Roy, David P. & Tobias Landmann. (2005). Characterizing the surface heterogeneity of fire effects using multi‐temporal reflective wavelength data. International Journal of Remote Sensing. 26(19). 4197–4218. 75 indexed citations
18.
Vermote, E., E. Masuoka, J. L. Privette, et al.. (2004). A long-term land data record from AVHRR, MODIS and VIIRS.. AGU Fall Meeting Abstracts. 2004. 1 indexed citations
19.
Roy, David P., et al.. (2003). Multi-year southern Africa MODIS burned area product generation and validation. AGU Fall Meeting Abstracts. 2003. 2 indexed citations
20.
Gumbricht, Thomas, T.S. McCarthy, Jenny McCarthy, et al.. (2002). Remote sensing to detect sub-surface peat fires and peat fire scars in the Okavango Delta, Botswana : research article. South African Journal of Science. 98. 351–358. 15 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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