Brad Quayle

3.9k total citations · 1 hit paper
20 papers, 2.5k citations indexed

About

Brad Quayle is a scholar working on Global and Planetary Change, Ecology and Environmental Engineering. According to data from OpenAlex, Brad Quayle has authored 20 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Global and Planetary Change, 12 papers in Ecology and 6 papers in Environmental Engineering. Recurrent topics in Brad Quayle's work include Fire effects on ecosystems (19 papers), Remote Sensing in Agriculture (8 papers) and Remote Sensing and LiDAR Applications (6 papers). Brad Quayle is often cited by papers focused on Fire effects on ecosystems (19 papers), Remote Sensing in Agriculture (8 papers) and Remote Sensing and LiDAR Applications (6 papers). Brad Quayle collaborates with scholars based in United States, Ireland and Germany. Brad Quayle's co-authors include Stephen M. Howard, Zhiliang Zhu, Ken Brewer, Louis Giglio, Tatiana Loboda, Christopher O. Justice, David P. Roy, Xiaoyang Zhang, Wilfrid Schroeder and Susan O’Neill and has published in prestigious journals such as Remote Sensing of Environment, IEEE Transactions on Geoscience and Remote Sensing and Atmospheric Environment.

In The Last Decade

Brad Quayle

19 papers receiving 2.4k citations

Hit Papers

A Project for Monitoring Trends in Burn Severity 2007 2026 2013 2019 2007 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
Brad Quayle United States 13 2.3k 1.2k 636 326 322 20 2.5k
Samuel Alleaume France 17 1.4k 0.6× 742 0.6× 679 1.1× 273 0.8× 230 0.7× 38 1.9k
T. J. Lynham Canada 17 1.7k 0.7× 609 0.5× 452 0.7× 224 0.7× 306 1.0× 18 1.9k
S. Korontzi United States 15 1.7k 0.8× 590 0.5× 985 1.5× 235 0.7× 67 0.2× 17 2.0k
Thomas Curt France 21 1.2k 0.5× 329 0.3× 248 0.4× 166 0.5× 236 0.7× 38 1.4k
François Pimont France 27 1.7k 0.8× 545 0.5× 333 0.5× 601 1.8× 470 1.5× 65 2.2k
Olga Viedma Spain 18 1.4k 0.6× 653 0.6× 109 0.2× 232 0.7× 366 1.1× 31 1.7k
Stefan Maier Australia 26 1.0k 0.5× 1.2k 1.0× 316 0.5× 441 1.4× 201 0.6× 54 1.9k
Aitor Bastarrika Spain 12 1.2k 0.5× 834 0.7× 161 0.3× 420 1.3× 118 0.4× 18 1.4k
Kelvin Hirsch Canada 12 1.5k 0.7× 489 0.4× 427 0.7× 109 0.3× 308 1.0× 16 1.6k
Leigh B. Lentile United States 21 1.8k 0.8× 1.3k 1.1× 129 0.2× 376 1.2× 434 1.3× 28 2.0k

Countries citing papers authored by Brad Quayle

Since Specialization
Citations

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

Fields of papers citing papers by Brad Quayle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brad Quayle

This figure shows the co-authorship network connecting the top 25 collaborators of Brad Quayle. A scholar is included among the top collaborators of Brad Quayle 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 Brad Quayle. Brad Quayle 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.
Bernknopf, Richard, Yusuke Kuwayama, Thomas Clifford, et al.. (2020). Monetising the savings of remotely sensed data and information in Burn Area Emergency Response (BAER) wildfire assessment. International Journal of Wildland Fire. 30(1). 18–29. 7 indexed citations
2.
Farahmand, Alireza, E. Natasha Stavros, J. T. Reager, et al.. (2020). Satellite hydrology observations as operational indicators of forecasted fire danger across the contiguous United States. Natural hazards and earth system sciences. 20(4). 1097–1106. 13 indexed citations
3.
Picotte, Joshua J., et al.. (2020). Changes to the Monitoring Trends in Burn Severity program mapping production procedures and data products. Fire Ecology. 16(1). 81 indexed citations
4.
Coen, Janice L., Wilfrid Schroeder, & Brad Quayle. (2018). The Generation and Forecast of Extreme Winds during the Origin and Progression of the 2017 Tubbs Fire. Atmosphere. 9(12). 462–462. 22 indexed citations
5.
Coen, Janice L., et al.. (2018). Extreme wildfire events: Understanding and prediction. AGUFM. 2018. 1 indexed citations
6.
Urbanski, S. P., et al.. (2018). A VIIRS direct broadcast algorithm for rapid response mapping of wildfire burned area in the western United States. Remote Sensing of Environment. 219. 271–283. 12 indexed citations
7.
Koltunov, Alexander, et al.. (2016). The development and first validation of the GOES Early Fire Detection (GOES-EFD) algorithm. Remote Sensing of Environment. 184. 436–453. 27 indexed citations
8.
Schroeder, Wilfrid, Patricia Oliva, Louis Giglio, et al.. (2015). Active fire detection using Landsat-8/OLI data. Remote Sensing of Environment. 185. 210–220. 229 indexed citations
9.
Miller, Jay & Brad Quayle. (2015). Calibration and Validation of Immediate Post-Fire Satellite-Derived Data to Three Severity Metrics. Fire Ecology. 11(2). 12–30. 74 indexed citations
10.
Lyapustin, Alexei, et al.. (2012). Discrimination of biomass burning smoke and clouds in MAIAC algorithm. Atmospheric chemistry and physics. 12(20). 9679–9686. 47 indexed citations
11.
Zheng, Daolan, Linda S. Heath, Mark J. Ducey, & Brad Quayle. (2012). Assessing Double Counting of Carbon Emissions Between Forest Land-Cover Change and Forest Wildfires: A Case Study in the United States, 1992–2006. Ecosystems. 16(2). 310–322. 2 indexed citations
12.
Finco, Mark, et al.. (2012). Monitoring Trends and Burn Severity (MTBS): Monitoring wildfire activity for the past quarter century using landsat data. 222–228. 39 indexed citations
13.
Koltunov, Alexander, et al.. (2012). GOES early fire detection (GOES-EFD) system prototype. 313–322. 7 indexed citations
14.
Zhang, Xiaoyang, Shobha Kondragunta, & Brad Quayle. (2011). Estimation of Biomass Burned Areas Using Multiple-Satellite-Observed Active Fires. IEEE Transactions on Geoscience and Remote Sensing. 49(11). 4469–4482. 28 indexed citations
15.
Quayle, Brad, et al.. (2010). Establishing a nationwide baseline of historical burn-severity data to support monitoring of trends in wildfire effects and national fire policies.. 802. 381–396. 3 indexed citations
16.
Giglio, Louis, Tatiana Loboda, David P. Roy, Brad Quayle, & Christopher O. Justice. (2008). An active-fire based burned area mapping algorithm for the MODIS sensor. Remote Sensing of Environment. 113(2). 408–420. 485 indexed citations
17.
Brewer, Ken, et al.. (2007). A Project for Monitoring Trends in Burn Severity. Fire Ecology. 3(1). 3–21. 1094 indexed citations breakdown →
18.
Wiedinmyer, Christine, et al.. (2006). Estimating emissions from fires in North America for air quality modeling. Atmospheric Environment. 40(19). 3419–3432. 310 indexed citations
20.
Quayle, Brad, R. A. Sohlberg, & Jacques Descloitres. (2004). Operational remote sensing technologies for wildfire assessment. 3. 2245–2247. 10 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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