Travis Woolley

733 total citations · 1 hit paper
19 papers, 396 citations indexed

About

Travis Woolley is a scholar working on Global and Planetary Change, Ecology and Nature and Landscape Conservation. According to data from OpenAlex, Travis Woolley has authored 19 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Global and Planetary Change, 8 papers in Ecology and 7 papers in Nature and Landscape Conservation. Recurrent topics in Travis Woolley's work include Fire effects on ecosystems (14 papers), Plant Water Relations and Carbon Dynamics (7 papers) and Forest ecology and management (6 papers). Travis Woolley is often cited by papers focused on Fire effects on ecosystems (14 papers), Plant Water Relations and Carbon Dynamics (7 papers) and Forest ecology and management (6 papers). Travis Woolley collaborates with scholars based in United States, Netherlands and Mexico. Travis Woolley's co-authors include Stephen Arthur Fitzgerald, David C. Shaw, Marcos D. Robles, Lisa M. Ganio, John B. Bradford, Lisa A. McCauley, Caitlin M. Andrews, Robert K. Shriver, Ryan D. Haugo and Joseph Fargione and has published in prestigious journals such as PLoS ONE, Journal of Hydrology and Journal of Applied Ecology.

In The Last Decade

Travis Woolley

16 papers receiving 392 citations

Hit Papers

Tamm review: A meta-analysis of thinning, prescribed fire... 2024 2026 2025 2024 20 40 60

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Travis Woolley United States 10 334 167 164 53 52 19 396
Alison K. Paulson United States 9 293 0.9× 130 0.8× 141 0.9× 61 1.2× 31 0.6× 14 353
Rebecca Bewley Wayman United States 5 455 1.4× 237 1.4× 191 1.2× 49 0.9× 32 0.6× 6 502
Brian R. Miranda United States 14 502 1.5× 179 1.1× 283 1.7× 66 1.2× 34 0.7× 31 615
Christina Restaino United States 6 404 1.2× 137 0.8× 202 1.2× 150 2.8× 21 0.4× 7 439
Richard G. Everett United States 9 436 1.3× 278 1.7× 234 1.4× 51 1.0× 43 0.8× 10 475
Christopher A. Stockdale Canada 8 251 0.8× 96 0.6× 64 0.4× 36 0.7× 44 0.8× 9 322
Jean-Pierre Saucier Canada 11 206 0.6× 90 0.5× 209 1.3× 51 1.0× 49 0.9× 14 349
Robert A. Andrus United States 15 495 1.5× 356 2.1× 266 1.6× 112 2.1× 57 1.1× 31 609
Inga P. La Puma United States 7 211 0.6× 109 0.7× 113 0.7× 61 1.2× 33 0.6× 10 326
Justin S. Crotteau United States 9 268 0.8× 179 1.1× 194 1.2× 21 0.4× 16 0.3× 21 314

Countries citing papers authored by Travis Woolley

Since Specialization
Citations

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

Fields of papers citing papers by Travis Woolley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Travis Woolley

This figure shows the co-authorship network connecting the top 25 collaborators of Travis Woolley. A scholar is included among the top collaborators of Travis Woolley 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 Travis Woolley. Travis Woolley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Biederman, Joel A., Ravindra Dwivedi, P. D. Broxton, et al.. (2025). Statistical emulation of hyper-resolution mechanistic snow modeling assesses forest management and the importance of tree arrangement. Journal of Hydrology. 662. 133886–133886.
2.
Waring, Kristen M., et al.. (2025). Innovative Tree Designation Methods for a Complex Silvicultural Treatment: Costs, Efficiency and Outcomes. Journal of Forestry. 123(6). 781–800.
4.
Davis, Kimberley T., Joseph Fargione, Ryan D. Haugo, et al.. (2024). Tamm review: A meta-analysis of thinning, prescribed fire, and wildfire effects on subsequent wildfire severity in conifer dominated forests of the Western US. Forest Ecology and Management. 561. 121885–121885. 61 indexed citations breakdown →
5.
McCauley, Lisa A., Kerry L. Metlen, Travis Woolley, et al.. (2023). Identifying opportunity hot spots for reducing the risk of wildfire-caused carbon loss in western US conifer forests. Environmental Research Letters. 18(9). 94040–94040. 6 indexed citations
6.
McCauley, Lisa A., John B. Bradford, Marcos D. Robles, et al.. (2022). Landscape-scale forest restoration decreases vulnerability to drought mortality under climate change in southwest USA ponderosa forest. Forest Ecology and Management. 509. 120088–120088. 24 indexed citations
7.
Bradford, John B., Robert K. Shriver, Marcos D. Robles, et al.. (2021). Tree mortality response to drought‐density interactions suggests opportunities to enhance drought resistance. Journal of Applied Ecology. 59(2). 549–559. 47 indexed citations
8.
Bradford, John B., et al.. (2020). Landscape‐scale restoration minimizes tree growth vulnerability to 21stcentury drought in a dry forest. Ecological Applications. 31(2). e2238–e2238. 13 indexed citations
10.
Sankey, Temuulen Tsagaan, Joel A. Biederman, John B. Bradford, et al.. (2019). UAV‐derived estimates of forest structure to inform ponderosa pine forest restoration. Remote Sensing in Ecology and Conservation. 6(2). 181–197. 47 indexed citations
11.
McCauley, Lisa A., et al.. (2019). Large‐scale forest restoration stabilizes carbon under climate change in Southwest United States. Ecological Applications. 29(8). e01979–e01979. 34 indexed citations
12.
Shaw, David C., Travis Woolley, Rick G. Kelsey, et al.. (2016). Surface fuels in recent Phytophthora ramorum created gaps and adjacent intact Quercus agrifolia forests, East Bay Regional Parks, California, USA. Forest Ecology and Management. 384. 331–338. 2 indexed citations
13.
Woolley, Travis, et al.. (2016). Fire severity and cumulative disturbance effects in the post-mountain pine beetle lodgepole pine forests of the Pole Creek Fire. Forest Ecology and Management. 366. 73–86. 32 indexed citations
14.
15.
Woolley, Travis, Mark E. Harmon, & Kari O’Connell. (2014). Inter-annual variability and spatial coherence of net primary productivity across a western Oregon Cascades landscape. Forest Ecology and Management. 335. 60–70. 6 indexed citations
16.
Shaw, David C., Travis Woolley, & Alan Kanaskie. (2014). Vertical Foliage Retention in Douglas-Fir Across Environmental Gradients of the Western Oregon Coast Range Influenced by Swiss Needle Cast. Northwest Science. 88(1). 23–32. 11 indexed citations
17.
Ganio, Lisa M., Travis Woolley, David C. Shaw, & Stephen Arthur Fitzgerald. (2014). The Discriminatory Ability of Postfire Tree Mortality Logistic Regression Models. Forest Science. 61(2). 344–352. 6 indexed citations
18.
Woolley, Travis, David C. Shaw, Lisa M. Ganio, & Stephen Arthur Fitzgerald. (2011). A review of logistic regression models used to predict post-fire tree mortality of western North American conifers. International Journal of Wildland Fire. 21(1). 1–35. 80 indexed citations
19.
Woolley, Travis, Mark E. Harmon, & Kari O’Connell. (2007). Estimating annual bole biomass production using uncertainty analysis. Forest Ecology and Management. 253(1-3). 202–210. 7 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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