W. L. McCaw

4.8k total citations
99 papers, 3.2k citations indexed

About

W. L. McCaw is a scholar working on Global and Planetary Change, Nature and Landscape Conservation and Ecology. According to data from OpenAlex, W. L. McCaw has authored 99 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Global and Planetary Change, 42 papers in Nature and Landscape Conservation and 28 papers in Ecology. Recurrent topics in W. L. McCaw's work include Fire effects on ecosystems (77 papers), Forest ecology and management (23 papers) and Rangeland and Wildlife Management (23 papers). W. L. McCaw is often cited by papers focused on Fire effects on ecosystems (77 papers), Forest ecology and management (23 papers) and Rangeland and Wildlife Management (23 papers). W. L. McCaw collaborates with scholars based in Australia, Canada and United States. W. L. McCaw's co-authors include James S. Gould, N. P. Cheney, Pauline F. Grierson, Matthias M. Boer, Wendy R. Anderson, Miguel G. Cruz, Neil Burrows, Alison J. O’Donnell, Jim Gould and Roy S. Wittkuhn and has published in prestigious journals such as Remote Sensing of Environment, Atmospheric Environment and Journal of Environmental Management.

In The Last Decade

W. L. McCaw

96 papers receiving 3.0k citations

Peers

W. L. McCaw

GPC

ECOLO

NLC

SRRQ

MMPL

José A. Vega Spain

Geoffrey J. Cary Australia

Matthew D. Hurteau United States

Kevin C. Ryan United States

Jan W. van Wagtendonk United States

J. Kevin Hiers United States

Florent Mouillot France

J. Morgan Varner United States

William J. de Groot Canada

Tania Schoennagel United States

José A. Vega Spain

W. L. McCaw

3.5k ×1.2

GPC

1.4k ×1.2

ECOLO

953 ×0.9

NLC

352 ×0.7

SRRQ

550 ×1.1

MMPL

Citations per year, relative to W. L. McCaw W. L. McCaw (= 1×) peers José A. Vega

Countries citing papers authored by W. L. McCaw

Since Specialization

Citations

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

Fields of papers citing papers by W. L. McCaw

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W. L. McCaw. 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 W. L. McCaw. The network helps show where W. L. McCaw may publish in the future.

Co-authorship network of co-authors of W. L. McCaw

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

All Works

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20 of 20 papers shown

García-Carmona, Minerva, Cristina Santín, Jane G. Cawson, et al.. (2025). Pyrogenic carbon production in eucalypt forests under low to moderate fire severities. Forest Ecology and Management. 585. 122590–122590. 1 indexed citations

Miller, Ben P., Joseph B. Fontaine, Ryan Tangney, et al.. (2024). Comment on ‘Self-thinning forest understoreys reduce wildfire risk, even in a warming climate’. Environmental Research Letters. 19(6). 68001–68001. 4 indexed citations

McCaw, W. L., et al.. (2024). Biodiversity monitoring for the jarrah (Eucalyptus marginata) forest in south-west Western Australia: An extension to ten-year findings of Forestcheck. Forest Ecology and Management. 567. 122082–122082. 1 indexed citations

Veneklaas, Erik J., et al.. (2023). Effect of Stand Density on Growth and Allometry of Marri (Corymbia Calophylla) in the High Rainfall Zone of Southwest Western Australia. 106.

Veneklaas, Erik J., et al.. (2023). Investigating above- vs. below-ground competition by accounting for azimuth of competitors in native eucalypt forests. Forest Ecology and Management. 542. 121103–121103. 2 indexed citations

Gosper, Carl R., Ben P. Miller, Rachael V. Gallagher, et al.. (2022). Mapping risk to plant populations from short fire intervals via relationships between maturation period and environmental productivity. Plant Ecology. 223(7). 769–787. 10 indexed citations

Veneklaas, Erik J., et al.. (2022). Effect of thinning on growth and allometry ofEucalyptus diversicolor. Southern Forests a Journal of Forest Science. 84(4). 298–310. 2 indexed citations

Neumann, Mathias, et al.. (2021). Dynamics of necromass in woody Australian ecosystems. Ecosphere. 12(8). 13 indexed citations

Veneklaas, Erik J., et al.. (2021). Investigating the effect of neighbour competition on individual tree growth in thinned and unthinned eucalypt forests. Forest Ecology and Management. 499. 119637–119637. 11 indexed citations

10.

Veneklaas, Erik J., et al.. (2021). Individual tree growth in jarrah (Eucalyptus marginata) forest is explained by size and distance of neighbouring trees in thinned and non-thinned plots. Forest Ecology and Management. 494. 119364–119364. 20 indexed citations

11.

Cruz, Miguel G., N. P. Cheney, James S. Gould, et al.. (2021). An empirical-based model for predicting the forward spread rate of wildfires in eucalypt forests. International Journal of Wildland Fire. 31(1). 81–95. 44 indexed citations

12.

Hollis, J. J., W. L. McCaw, & Miguel G. Cruz. (2018). The effect of woody fuel characteristics on fuel ignition and consumption: a case study from a eucalypt forest in south-west Western Australia. International Journal of Wildland Fire. 27(5). 363–375. 13 indexed citations

13.

Anderson, Wendy R., Miguel G. Cruz, Paulo M. Fernandes, et al.. (2015). A generic, empirical-based model for predicting rate of fire spread in shrublands. International Journal of Wildland Fire. 24(4). 443–460. 140 indexed citations

14.

McCaw, W. L., R. Μ. Robinson, & Matthew R. Williams. (2011). Integrated biodiversity monitoring for the jarrah ( Eucalyptus marginata ) forest in south-west Western Australia: the FORESTCHECK project. Australian Forestry. 74(4). 240–253. 28 indexed citations

15.

Wotton, B. Mike, James S. Gould, W. L. McCaw, N. P. Cheney, & Stephen Taylor. (2011). Flame temperature and residence time of fires in dry eucalypt forest. International Journal of Wildland Fire. 21(3). 270–281. 120 indexed citations

16.

Matthews, Stuart, Jim Gould, & W. L. McCaw. (2010). Simple models for predicting dead fuel moisture in eucalyptus forests. International Journal of Wildland Fire. 19(4). 459–467. 61 indexed citations

17.

McCaw, W. L., et al.. (2009). Weather and fire behaviour during the Victorian bushfires of 7 February 2009. AGU Fall Meeting Abstracts. 2009. 3 indexed citations

18.

Meyer, C. P., et al.. (2007). Emission of dioxins from bush fires in Australia. Queensland's institutional digital repository (The University of Queensland). 69. 307–310. 10 indexed citations

19.

Meyer, C. P., et al.. (2007). An emission budget for dioxins from crop and bush fires in Australia. Queensland's institutional digital repository (The University of Queensland). 69. 2419–2422. 1 indexed citations

20.

McCaw, W. L., et al.. (2007). Bushfire weather climatology of the Haines index in south-western Australia. 56(2). 75–80. 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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