Lloyd Queen

904 total citations
25 papers, 520 citations indexed

About

Lloyd Queen is a scholar working on Global and Planetary Change, Environmental Engineering and Ecology. According to data from OpenAlex, Lloyd Queen has authored 25 papers receiving a total of 520 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Global and Planetary Change, 13 papers in Environmental Engineering and 7 papers in Ecology. Recurrent topics in Lloyd Queen's work include Remote Sensing and LiDAR Applications (11 papers), Fire effects on ecosystems (9 papers) and Forest ecology and management (5 papers). Lloyd Queen is often cited by papers focused on Remote Sensing and LiDAR Applications (11 papers), Fire effects on ecosystems (9 papers) and Forest ecology and management (5 papers). Lloyd Queen collaborates with scholars based in United States, Belgium and Spain. Lloyd Queen's co-authors include Carl Seielstad, Patricia L. Andrews, Donald C. Rundquist, Merlin P. Lawson, Randall S. Cerveny, Casey Teske, Eric Rowell, Greg J. Arthaud, Crystal S. Stonesifer and Scott Pokswinski and has published in prestigious journals such as Forest Ecology and Management, Remote Sensing and ISPRS Journal of Photogrammetry and Remote Sensing.

In The Last Decade

Lloyd Queen

25 papers receiving 483 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lloyd Queen United States 12 329 243 215 125 60 25 520
C. Kenneth Brewer United States 7 463 1.4× 233 1.0× 401 1.9× 135 1.1× 31 0.5× 11 690
Lara A. Arroyo Australia 11 376 1.1× 331 1.4× 441 2.1× 98 0.8× 17 0.3× 18 638
Pablito Marcelo López‐Serrano Mexico 14 324 1.0× 282 1.2× 307 1.4× 201 1.6× 35 0.6× 53 600
Lei Fang China 11 343 1.0× 92 0.4× 192 0.9× 100 0.8× 37 0.6× 42 494
Philippe Villemaire Canada 9 336 1.0× 227 0.9× 257 1.2× 188 1.5× 21 0.3× 9 576
Jesús A. Anaya Colombia 10 315 1.0× 196 0.8× 284 1.3× 90 0.7× 19 0.3× 33 526
Alexander Koltunov United States 16 480 1.5× 258 1.1× 459 2.1× 214 1.7× 49 0.8× 38 817
Lorenzo Bottai Italy 14 243 0.7× 269 1.1× 291 1.4× 99 0.8× 8 0.1× 33 602
Samuel Hislop Australia 14 471 1.4× 253 1.0× 412 1.9× 183 1.5× 28 0.5× 27 645
María Teresa Lamelas Spain 14 286 0.9× 452 1.9× 250 1.2× 204 1.6× 32 0.5× 35 631

Countries citing papers authored by Lloyd Queen

Since Specialization
Citations

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

Fields of papers citing papers by Lloyd Queen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lloyd Queen

This figure shows the co-authorship network connecting the top 25 collaborators of Lloyd Queen. A scholar is included among the top collaborators of Lloyd Queen 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 Lloyd Queen. Lloyd Queen 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.
Moran, Christopher J., et al.. (2022). Mapping Fine-Scale Crown Scorch in 3D with Remotely Piloted Aircraft Systems. Fire. 5(3). 59–59. 8 indexed citations
2.
Valero, Mario M., Steven Verstockt, Bret W. Butler, et al.. (2021). Thermal Infrared Video Stabilization for Aerial Monitoring of Active Wildfires. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14. 2817–2832. 16 indexed citations
3.
Rowell, Eric, E. Louise Loudermilk, Scott Pokswinski, et al.. (2020). Coupling terrestrial laser scanning with 3D fuel biomass sampling for advancing wildland fuels characterization. Forest Ecology and Management. 462. 117945–117945. 45 indexed citations
4.
Valero, Mario M., et al.. (2020). Image Similarity Metrics Suitable for Infrared Video Stabilization during Active Wildfire Monitoring: A Comparative Analysis. Remote Sensing. 12(3). 540–540. 7 indexed citations
5.
Moran, Christopher J., et al.. (2019). Deriving Fire Behavior Metrics from UAS Imagery. Fire. 2(2). 36–36. 20 indexed citations
6.
Rowell, Eric, et al.. (2019). Assessing the Relationship between Forest Structure and Fire Severity on the North Rim of the Grand Canyon. Fire. 2(1). 10–10. 10 indexed citations
7.
Hudak, Andrew T., Patrick H. Freeborn, Sarah A. Lewis, et al.. (2018). The Cooney Ridge Fire Experiment: An Early Operation to Relate Pre-, Active, and Post-Fire Field and Remotely Sensed Measurements. Fire. 1(1). 10–10. 8 indexed citations
8.
Teske, Casey, et al.. (2014). Changes in Severity Distribution after Subsequent Fires on the North Rim of Grand Canyon National Park, Arizona, USA. Fire Ecology. 10(2). 48–63. 7 indexed citations
9.
Teske, Casey, Carl Seielstad, & Lloyd Queen. (2012). Characterizing Fire-on-Fire Interactions in Three Large Wilderness Areas. Fire Ecology. 8(2). 82–106. 44 indexed citations
10.
Seielstad, Carl, Crystal S. Stonesifer, Eric Rowell, & Lloyd Queen. (2011). Deriving Fuel Mass by Size Class in Douglas-fir (Pseudotsuga menziesii) Using Terrestrial Laser Scanning. Remote Sensing. 3(8). 1691–1709. 26 indexed citations
11.
Seielstad, Carl, et al.. (2009). Tree species identification in mixed coniferous forest using airborne laser scanning. ISPRS Journal of Photogrammetry and Remote Sensing. 64(6). 683–693. 63 indexed citations
12.
Rowell, Eric, Carl Seielstad, Lee A. Vierling, Lloyd Queen, & Wayne D. Shepperd. (2006). Using Laser Altimetry-based Segmentation to Refine Automated Tree Identification in Managed Forests of the Black Hills, South Dakota. Photogrammetric Engineering & Remote Sensing. 72(12). 1379–1388. 19 indexed citations
13.
Running, Steven W., Lloyd Queen, & Michele Thornton. (2000). The Earth Observing System and Forest Management. Journal of Forestry. 98(6). 29–31. 8 indexed citations
14.
Coppin, Pol, et al.. (1999). Geographic information system concepts for land management. Development Southern Africa. 16(3). 519–530. 3 indexed citations
15.
Queen, Lloyd, et al.. (1997). Modeling Impacts of Forest Roads on Recreation Opportunities. Northern Journal of Applied Forestry. 14(4). 194–201. 7 indexed citations
16.
Queen, Lloyd, et al.. (1995). A proximity-based approach to assessing habitat. Landscape Ecology. 10(5). 309–321. 19 indexed citations
17.
Queen, Lloyd & Greg J. Arthaud. (1994). Integrating Multiple-Ownership Forest Data Using a GIS. Northern Journal of Applied Forestry. 11(3). 73–79. 1 indexed citations
18.
Perry, James A., et al.. (1994). Improving lake riparian source area management using surface and subsurface runoff indices. Environmental Management. 18(4). 569–586. 7 indexed citations
19.
Queen, Lloyd, et al.. (1991). Introduction to Data Analysis Using Geographic Information Systems. University of Minnesota Digital Conservancy (University of Minnesota). 6 indexed citations
20.
Rundquist, Donald C., et al.. (1985). AIRBORNE THERMAL MAPPING OF A “FLOW‐THROUGH” LAKE IN THE NEBRASKA SANDHILLS1. JAWRA Journal of the American Water Resources Association. 21(6). 989–994. 14 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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