Russell A. Parsons

2.7k total citations · 1 hit paper
54 papers, 1.8k citations indexed

About

Russell A. Parsons is a scholar working on Global and Planetary Change, Ecology and Nature and Landscape Conservation. According to data from OpenAlex, Russell A. Parsons has authored 54 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Global and Planetary Change, 23 papers in Ecology and 19 papers in Nature and Landscape Conservation. Recurrent topics in Russell A. Parsons's work include Fire effects on ecosystems (51 papers), Plant Water Relations and Carbon Dynamics (14 papers) and Rangeland and Wildlife Management (13 papers). Russell A. Parsons is often cited by papers focused on Fire effects on ecosystems (51 papers), Plant Water Relations and Carbon Dynamics (14 papers) and Rangeland and Wildlife Management (13 papers). Russell A. Parsons collaborates with scholars based in United States, France and Australia. Russell A. Parsons's co-authors include Robert E. Keane, W. Matt Jolly, Chad M. Hoffman, Matthew G. Rollins, Emily K. Heyerdahl, Paul F. Hessburg, Rodman Linn, Alan Swanson, Jared W. Oyler and David L.R. Affleck and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Geophysical Research Letters.

In The Last Decade

Russell A. Parsons

51 papers receiving 1.7k citations

Hit Papers

Decreasing fire season precipitation increased recent wes... 2018 2026 2020 2023 2018 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
Russell A. Parsons United States 22 1.7k 739 516 262 248 54 1.8k
Chad M. Hoffman United States 25 1.6k 0.9× 753 1.0× 561 1.1× 204 0.8× 309 1.2× 78 1.9k
Éric Rigolot France 17 1.7k 1.0× 693 0.9× 757 1.5× 280 1.1× 250 1.0× 41 2.1k
Susan J. Prichard United States 24 1.9k 1.2× 919 1.2× 533 1.0× 275 1.0× 225 0.9× 60 2.1k
T. J. Lynham Canada 17 1.7k 1.0× 609 0.8× 306 0.6× 280 1.1× 224 0.9× 18 1.9k
Nicholas S. Skowronski United States 23 1.6k 1.0× 542 0.7× 428 0.8× 185 0.7× 514 2.1× 85 1.9k
C. Alina Cansler United States 22 1.6k 1.0× 983 1.3× 653 1.3× 260 1.0× 167 0.7× 39 1.7k
Luke Collins Australia 23 1.9k 1.1× 1.1k 1.4× 636 1.2× 325 1.2× 271 1.1× 50 2.2k
Charles W. McHugh United States 16 1.7k 1.0× 745 1.0× 441 0.9× 327 1.2× 136 0.5× 25 1.8k
E. Louise Loudermilk United States 28 1.7k 1.0× 732 1.0× 845 1.6× 131 0.5× 660 2.7× 72 2.1k
Eric E. Knapp United States 20 2.0k 1.2× 1.2k 1.6× 942 1.8× 184 0.7× 93 0.4× 30 2.2k

Countries citing papers authored by Russell A. Parsons

Since Specialization
Citations

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

Fields of papers citing papers by Russell A. Parsons

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Russell A. Parsons. 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 Russell A. Parsons. The network helps show where Russell A. Parsons may publish in the future.

Co-authorship network of co-authors of Russell A. Parsons

This figure shows the co-authorship network connecting the top 25 collaborators of Russell A. Parsons. A scholar is included among the top collaborators of Russell A. Parsons 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 Russell A. Parsons. Russell A. Parsons 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
2.
Abolt, Charles J., et al.. (2024). Deep-learning-based canopy height model generation from sub-meter resolution panchromatic satellite imagery. Machine Learning Science and Technology. 6(1). 15013–15013.
3.
Moran, Christopher J., et al.. (2024). Relationships of Fire Rate of Spread with Spectral and Geometric Features Derived from UAV-Based Photogrammetric Point Clouds. Fire. 7(4). 132–132. 2 indexed citations
4.
Parsons, Russell A., et al.. (2024). FastFuels: Advancing wildland fire modeling with high-resolution 3D fuel data and data assimilation. Environmental Modelling & Software. 183. 106214–106214. 3 indexed citations
5.
Johnson, Jesse V., et al.. (2023). Application of LiDAR Derived Fuel Cells to Wildfire Modeling at Laboratory Scale. Fire. 6(10). 394–394. 8 indexed citations
6.
Ruffault, Julien, François Pimont, Jean‐Luc Dupuy, et al.. (2022). Plant hydraulic modelling of leaf and canopy fuel moisture content reveals increasing vulnerability of a Mediterranean forest to wildfires under extreme drought. New Phytologist. 237(4). 1256–1269. 20 indexed citations
7.
Hoffman, Chad M., Jeffrey M. Kane, J. Morgan Varner, et al.. (2021). Invigorating Prescribed Fire Science Through Improved Reporting Practices. Frontiers in Forests and Global Change. 4. 8 indexed citations
9.
Gavin, Daniel G., et al.. (2014). Drought-triggered western spruce budworm outbreaks in the interior Pacific Northwest: A multi-century dendrochronological record. Forest Ecology and Management. 324. 16–27. 57 indexed citations
10.
Parsons, Russell A., et al.. (2014). Simulated western spruce budworm defoliation reduces torching and crowning potential: a sensitivity analysis using a physics-based fire model. International Journal of Wildland Fire. 23(5). 709–720. 9 indexed citations
11.
Keane, Robert E., Geoffrey J. Cary, Mike Flannigan, et al.. (2013). Exploring the role of fire, succession, climate, and weather on landscape dynamics using comparative modeling. Ecological Modelling. 266. 172–186. 31 indexed citations
13.
Jolly, W. Matt, et al.. (2012). Do mountain pine beetle outbreaks change the probability of active crown fire in lodgepole pine forests? Comment.. PubMed. 93(4). 941–5; discussion 946. 33 indexed citations
14.
Parsons, Russell A., et al.. (2010). Modeling the spatial distribution of forest crown biomass and effects on fire behavior with FUEL3D and WFDS. 6 indexed citations
15.
Parsons, Russell A.. (2007). Spatial variability in forest fuels: Simulation modeling and effects on fire behavior. The Mathematics Enthusiast. 10 indexed citations
16.
Keane, Robert E., Lisa M. Holsinger, Russell A. Parsons, & Kathy Gray. (2007). Climate change effects on historical range and variability of two large landscapes in western Montana, USA. Forest Ecology and Management. 254(3). 375–389. 36 indexed citations
17.
Parsons, Russell A., et al.. (2007). Assessing accuracy of point fire intervals across landscapes with simulation modelling. Canadian Journal of Forest Research. 37(9). 1605–1614. 20 indexed citations
18.
Heyerdahl, Emily K., Richard F. Miller, & Russell A. Parsons. (2006). History of fire and Douglas-fir establishment in a savanna and sagebrush–grassland mosaic, southwestern Montana, USA. Forest Ecology and Management. 230(1-3). 107–118. 56 indexed citations
19.
Rollins, Matthew G., Robert E. Keane, & Russell A. Parsons. (2004). MAPPING FUELS AND FIRE REGIMES USING REMOTE SENSING, ECOSYSTEM SIMULATION, AND GRADIENT MODELING. Ecological Applications. 14(1). 75–95. 127 indexed citations
20.
Keane, Robert E., Geoffrey J. Cary, & Russell A. Parsons. (2003). Using simulation to map fire regimes: an evaluation of approaches, strategies, and limitations. International Journal of Wildland Fire. 12(4). 309–322. 44 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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