Allison D. Binley

513 total citations
23 papers, 238 citations indexed

About

Allison D. Binley is a scholar working on Ecological Modeling, Ecology and Nature and Landscape Conservation. According to data from OpenAlex, Allison D. Binley has authored 23 papers receiving a total of 238 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Ecological Modeling, 12 papers in Ecology and 8 papers in Nature and Landscape Conservation. Recurrent topics in Allison D. Binley's work include Species Distribution and Climate Change (15 papers), Wildlife Ecology and Conservation (8 papers) and Ecology and Vegetation Dynamics Studies (6 papers). Allison D. Binley is often cited by papers focused on Species Distribution and Climate Change (15 papers), Wildlife Ecology and Conservation (8 papers) and Ecology and Vegetation Dynamics Studies (6 papers). Allison D. Binley collaborates with scholars based in Canada, United States and Australia. Allison D. Binley's co-authors include Joseph Bennett, Nathalie Butt, Rachel T. Buxton, Brandon P.M. Edwards, Hsien‐Yung Lin, Steven J. Cooke, Richard Schuster, Amanda D. Rodewald, Jordanna N. Bergman and Connor H. Reid and has published in prestigious journals such as Conservation Biology, Journal of Applied Ecology and Biological Conservation.

In The Last Decade

Allison D. Binley

20 papers receiving 234 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Allison D. Binley Canada 10 127 112 63 60 39 23 238
Aaron Lien United States 10 77 0.6× 93 0.8× 69 1.1× 51 0.8× 53 1.4× 25 265
James O’Connor Australia 6 161 1.3× 140 1.3× 77 1.2× 100 1.7× 31 0.8× 8 249
Michael Opige United Kingdom 4 174 1.4× 153 1.4× 83 1.3× 89 1.5× 36 0.9× 8 285
Friederike C. Bolam United Kingdom 7 72 0.6× 77 0.7× 54 0.9× 62 1.0× 32 0.8× 7 191
Charlotte H. Chang United States 9 179 1.4× 53 0.5× 78 1.2× 58 1.0× 36 0.9× 22 311
Eva Lewandowski United States 5 98 0.8× 138 1.2× 47 0.7× 57 0.9× 76 1.9× 5 273
Geoffrey S. LeBaron United States 8 176 1.4× 195 1.7× 67 1.1× 80 1.3× 40 1.0× 9 322
Prabhat Raj Dahal United Kingdom 4 142 1.1× 106 0.9× 52 0.8× 59 1.0× 22 0.6× 4 208
Daniel Noesgaard United States 3 89 0.7× 160 1.4× 28 0.4× 60 1.0× 59 1.5× 7 254
Gianluca Catullo Italy 6 142 1.1× 82 0.7× 96 1.5× 69 1.1× 43 1.1× 8 253

Countries citing papers authored by Allison D. Binley

Since Specialization
Citations

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

Fields of papers citing papers by Allison D. Binley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Allison D. Binley. 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 Allison D. Binley. The network helps show where Allison D. Binley may publish in the future.

Co-authorship network of co-authors of Allison D. Binley

This figure shows the co-authorship network connecting the top 25 collaborators of Allison D. Binley. A scholar is included among the top collaborators of Allison D. Binley 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 Allison D. Binley. Allison D. Binley 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.
Hanna, Dalal E.L., John S. Richardson, Trina Rytwinski, et al.. (2025). An evidence map of research assessing the effects of timber harvesting on water quality, biotic and biodiversity indicators in running waters. Forest Ecology and Management. 580. 122425–122425.
2.
Binley, Allison D., et al.. (2025). Endangered species lack research on the outcomes of conservation action. Conservation Science and Practice. 7(2). 1 indexed citations
3.
Binley, Allison D., Jeffrey O. Hanson, Orin J. Robinson, Gregory H. Golet, & Joseph Bennett. (2025). Quantifying the value of participatory science data for conservation decision‐making. Journal of Applied Ecology. 62(4). 1024–1036. 4 indexed citations
4.
Holden, Matthew, et al.. (2024). Why shouldn't I collect more data? Reconciling disagreements between intuition and value of information analyses. Methods in Ecology and Evolution. 15(9). 1580–1592. 5 indexed citations
5.
Hudgins, Emma J., Brian Leung, Chris J.K. MacQuarrie, et al.. (2024). Perspectives: Five organizing themes for invasive forest insect and disease management in Canada and the United States. Forest Ecology and Management. 566. 122046–122046. 4 indexed citations
6.
Bennett, Joseph, Brandon P.M. Edwards, Allison D. Binley, et al.. (2024). How ignoring detection probability hurts biodiversity conservation. Frontiers in Ecology and the Environment. 22(8). 10 indexed citations
8.
Binley, Allison D. & Joseph Bennett. (2023). The data double standard. Methods in Ecology and Evolution. 14(6). 1389–1397. 28 indexed citations
9.
Hudgins, Emma J., Eric R. Scott, Brandon P.M. Edwards, et al.. (2023). Not just for programmers: How GitHub can accelerate collaborative and reproducible research in ecology and evolution. Methods in Ecology and Evolution. 14(6). 1364–1380. 13 indexed citations
10.
Binley, Allison D., et al.. (2023). Minimizing Data Waste: Conservation in the Big Data Era. Bulletin of the Ecological Society of America. 104(2). 3 indexed citations
11.
Schuster, Richard, Rachel T. Buxton, Jeffrey O. Hanson, et al.. (2023). Protected area planning to conserve biodiversity in an uncertain future. Conservation Biology. 37(3). e14048–e14048. 18 indexed citations
12.
Binley, Allison D., Joseph Bennett, Richard Schuster, et al.. (2023). Species traits drive responses of forest birds to agriculturally‐modified habitats throughout the annual cycle. Ecography. 2023(9).
13.
Smith, Adam C., Allison D. Binley, Brandon P.M. Edwards, et al.. (2023). Spatially explicit Bayesian hierarchical models improve estimates of avian population status and trends. Ornithological applications. 126(1). 7 indexed citations
14.
Binley, Allison D., et al.. (2023). Patterns of community science data use in peer-reviewed research on biodiversity. Biological Conservation. 280. 109985–109985. 9 indexed citations
15.
Binley, Allison D., et al.. (2023). Making the most of existing data in conservation research. Perspectives in Ecology and Conservation. 22(2). 122–128. 1 indexed citations
16.
Soroye, Peter, Brandon P.M. Edwards, Rachel T. Buxton, et al.. (2022). The risks and rewards of community science for threatened species monitoring. Conservation Science and Practice. 4(9). 22 indexed citations
17.
Lin, Hsien‐Yung, Allison D. Binley, Richard Schuster, et al.. (2022). Using community science data to help identify threatened species occurrences outside of known ranges. Biological Conservation. 268. 109523–109523. 13 indexed citations
18.
Binley, Allison D., et al.. (2021). The unrealized potential of community science to support research on the resilience of protected areas. Conservation Science and Practice. 3(5). 19 indexed citations
19.
Butt, Nathalie, et al.. (2020). Threats, Costs, and Probability of Success: Informing Conservation Choices. Frontiers in Ecology and Evolution. 8. 7 indexed citations
20.
Binley, Allison D., et al.. (2020). How to rescue Ontario’s Endangered Species Act: a biologist’s perspective. FACETS. 5(1). 423–431. 8 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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