Glen S. Brown

1.4k total citations
37 papers, 958 citations indexed

About

Glen S. Brown is a scholar working on Ecology, Ecological Modeling and Nature and Landscape Conservation. According to data from OpenAlex, Glen S. Brown has authored 37 papers receiving a total of 958 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Ecology, 8 papers in Ecological Modeling and 7 papers in Nature and Landscape Conservation. Recurrent topics in Glen S. Brown's work include Wildlife Ecology and Conservation (26 papers), Rangeland and Wildlife Management (14 papers) and Species Distribution and Climate Change (8 papers). Glen S. Brown is often cited by papers focused on Wildlife Ecology and Conservation (26 papers), Rangeland and Wildlife Management (14 papers) and Species Distribution and Climate Change (8 papers). Glen S. Brown collaborates with scholars based in Canada and United States. Glen S. Brown's co-authors include Tal Avgar, John M. Fryxell, Anna Mosser, Frank F. Mallory, Brent R. Patterson, Ian D. Thompson, James Α. Baker, Garrett M. Street, Andrew M. Kittle and Baoxin Hu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Remote Sensing of Environment.

In The Last Decade

Glen S. Brown

35 papers receiving 901 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Glen S. Brown Canada 19 819 182 177 172 105 37 958
Mathieu Leblond Canada 14 627 0.8× 136 0.7× 112 0.6× 167 1.0× 71 0.7× 36 764
Julie A. K. Maier United States 11 640 0.8× 90 0.5× 161 0.9× 118 0.7× 115 1.1× 16 771
Laůrier Breton Canada 18 1.2k 1.5× 189 1.0× 267 1.5× 193 1.1× 148 1.4× 23 1.3k
Martin Leclerc Canada 15 666 0.8× 97 0.5× 110 0.6× 75 0.4× 182 1.7× 41 818
Cameron E. Stevens Canada 10 873 1.1× 149 0.8× 269 1.5× 242 1.4× 99 0.9× 14 990
Kurt J. Jenkins United States 18 903 1.1× 145 0.8× 278 1.6× 149 0.9× 69 0.7× 56 1.1k
Nicolas Courbin France 13 648 0.8× 107 0.6× 157 0.9× 152 0.9× 125 1.2× 23 744
Eric J. Taylor United States 8 726 0.9× 131 0.7× 236 1.3× 136 0.8× 113 1.1× 16 786
D. Joanne Saher United States 7 833 1.0× 133 0.7× 221 1.2× 246 1.4× 77 0.7× 17 889
Scott LaPoint Germany 15 1.1k 1.4× 279 1.5× 212 1.2× 275 1.6× 219 2.1× 21 1.4k

Countries citing papers authored by Glen S. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Glen S. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Glen S. Brown. 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 Glen S. Brown. The network helps show where Glen S. Brown may publish in the future.

Co-authorship network of co-authors of Glen S. Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Glen S. Brown. A scholar is included among the top collaborators of Glen S. Brown 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 Glen S. Brown. Glen S. Brown 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.
Hu, Baoxin, et al.. (2024). An object-based region-growing phase unwrapping method for mapping vertical displacement in permafrost landscapes. International Journal of Applied Earth Observation and Geoinformation. 131. 103975–103975. 2 indexed citations
2.
Brook, Rodney W., et al.. (2022). Missing Release Data in Capture-Mark-Recovery Analyses: Consequences for Inference. Journal of Fish and Wildlife Management. 13(1). 81–93.
3.
Brown, Glen S., et al.. (2021). Habitat quality mediates demographic response to climate in a declining large herbivore. Basic and Applied Ecology. 58. 50–63. 7 indexed citations
4.
Fryxell, John M., Tal Avgar, Boyan Liu, et al.. (2020). Anthropogenic Disturbance and Population Viability of Woodland Caribou in Ontario. Journal of Wildlife Management. 84(4). 636–650. 45 indexed citations
5.
Brown, Glen S., et al.. (2020). Responses of terrestrial animals to forest characteristics and climate reveals ecological indicators for sustaining wildlife in managed forests. Forest Ecology and Management. 459. 117854–117854. 8 indexed citations
6.
Avgar, Tal, Glen S. Brown, Brent R. Patterson, et al.. (2018). Woodland caribou habitat selection patterns in relation to predation risk and forage abundance depend on reproductive state. Ecology and Evolution. 8(11). 5863–5872. 41 indexed citations
7.
Pond, Bruce A., et al.. (2018). The biogeography of home range size of woodland caribou Rangifer tarandus caribou. Diversity and Distributions. 25(2). 205–216. 14 indexed citations
8.
Donovan, Victoria M., Glen S. Brown, & Frank F. Mallory. (2017). The impacts of forest management strategies for woodland caribou vary across biogeographic gradients. PLoS ONE. 12(2). e0170759–e0170759. 15 indexed citations
9.
Pond, Bruce A., et al.. (2015). Drawing lines: Spatial behaviours reveal two ecotypes of woodland caribou. Biological Conservation. 194. 139–148. 19 indexed citations
10.
Kittle, Andrew M., Morgan Anderson, Tal Avgar, et al.. (2015). Wolves adapt territory size, not pack size to local habitat quality. Journal of Animal Ecology. 84(5). 1177–1186. 77 indexed citations
11.
Newton, Erica J., Bruce A. Pond, Glen S. Brown, Kenneth F. Abraham, & James A. Schaefer. (2014). Remote sensing reveals long-term effects of caribou on tundra vegetation. Polar Biology. 37(5). 715–725. 20 indexed citations
12.
Coops, Nicholas C., et al.. (2014). Estimating moose ( Alces alces ) occurrence and abundance from remotely derived environmental indicators. Remote Sensing of Environment. 152. 190–201. 30 indexed citations
13.
Avgar, Tal, Anna Mosser, Glen S. Brown, & John M. Fryxell. (2012). Environmental and individual drivers of animal movement patterns across a wide geographical gradient. Journal of Animal Ecology. 82(1). 96–106. 140 indexed citations
14.
15.
Venier, Lisa, et al.. (2011). Evaluation of an automated recording device for monitoring forest birds. SHILAP Revista de lepidopterología. 36(1). 30–39. 67 indexed citations
16.
Brown, Glen S., et al.. (2009). Age, Sex and Relocation Distance as Predictors of Return for Relocated Nuisance Black Bears Ursus americanus in Ontario, Canada. Wildlife Biology. 15(2). 155–164. 23 indexed citations
17.
18.
Brown, Glen S., W. James Rettie, Ronald J. Brooks, & Frank F. Mallory. (2007). Predicting the impacts of forest management on woodland caribou habitat suitability in black spruce boreal forest. Forest Ecology and Management. 245(1-3). 137–147. 24 indexed citations
19.
Brown, Glen S., W. James Rettie, & Frank F. Mallory. (2006). Application of a variance decomposition method to compare satellite and aerial inventory data: a tool for evaluating wildlife–habitat relationships. Journal of Applied Ecology. 43(1). 173–184. 13 indexed citations
20.
Porembski, Stefan & Glen S. Brown. (1995). The vegetation of inselbergs in the Comoé National Park (Ivory Coast). Candollea. 50(2). 351–365. 12 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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