Daniel H. Thornton

2.2k total citations
57 papers, 1.5k citations indexed

About

Daniel H. Thornton is a scholar working on Ecology, Ecological Modeling and Nature and Landscape Conservation. According to data from OpenAlex, Daniel H. Thornton has authored 57 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Ecology, 30 papers in Ecological Modeling and 18 papers in Nature and Landscape Conservation. Recurrent topics in Daniel H. Thornton's work include Wildlife Ecology and Conservation (47 papers), Species Distribution and Climate Change (30 papers) and Ecology and Vegetation Dynamics Studies (18 papers). Daniel H. Thornton is often cited by papers focused on Wildlife Ecology and Conservation (47 papers), Species Distribution and Climate Change (30 papers) and Ecology and Vegetation Dynamics Studies (18 papers). Daniel H. Thornton collaborates with scholars based in United States, Canada and Mexico. Daniel H. Thornton's co-authors include Dennis L. Murray, Lyn C. Branch, Melvin E. Sunquist, Michael J. L. Peers, Lisa A. Shipley, Martin B. Main, Robert J. Fletcher, Peter J. Olsoy, Howard Quigley and Rob Pickles and has published in prestigious journals such as PLoS ONE, Scientific Reports and Global Change Biology.

In The Last Decade

Daniel H. Thornton

56 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel H. Thornton United States 24 1.1k 562 450 312 218 57 1.5k
Pritpal S. Soorae United Arab Emirates 15 970 0.8× 436 0.8× 590 1.3× 357 1.1× 256 1.2× 41 1.5k
Katherine A. Zeller United States 17 1.6k 1.4× 481 0.9× 342 0.8× 428 1.4× 155 0.7× 40 1.9k
Chris Sutherland United States 23 1.4k 1.2× 529 0.9× 328 0.7× 276 0.9× 144 0.7× 91 1.7k
George A. Gale Thailand 23 1.3k 1.1× 398 0.7× 409 0.9× 274 0.9× 347 1.6× 120 1.6k
Christopher T. Rota United States 17 1.1k 0.9× 445 0.8× 378 0.8× 290 0.9× 130 0.6× 55 1.2k
Brian D. Gerber United States 22 1.3k 1.1× 425 0.8× 305 0.7× 306 1.0× 278 1.3× 70 1.6k
Mathieu Basille United States 23 1.5k 1.3× 606 1.1× 469 1.0× 237 0.8× 377 1.7× 43 1.9k
Lesley Gibson Australia 16 913 0.8× 455 0.8× 387 0.9× 187 0.6× 191 0.9× 45 1.3k
Martin Šálek Czechia 23 1.2k 1.1× 256 0.5× 461 1.0× 191 0.6× 362 1.7× 72 1.6k
Pierre Vernier Canada 5 1.8k 1.6× 837 1.5× 586 1.3× 351 1.1× 214 1.0× 11 2.1k

Countries citing papers authored by Daniel H. Thornton

Since Specialization
Citations

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

Fields of papers citing papers by Daniel H. Thornton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel H. Thornton. 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 Daniel H. Thornton. The network helps show where Daniel H. Thornton may publish in the future.

Co-authorship network of co-authors of Daniel H. Thornton

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel H. Thornton. A scholar is included among the top collaborators of Daniel H. Thornton 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 Daniel H. Thornton. Daniel H. Thornton 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.
Shipley, Lisa A., et al.. (2024). Predation risk for hoary marmots in Washington’s North Cascades Mountains. Journal of Mammalogy. 105(6). 1403–1417.
2.
Waller, John S., et al.. (2023). Partial COVID-19 closure of a national park reveals negative influence of low-impact recreation on wildlife spatiotemporal ecology. Scientific Reports. 13(1). 687–687. 23 indexed citations
3.
Gaines, William L., et al.. (2023). Climate change, wildfire, and past forest management challenge conservation of Canada lynx in Washington, USA. Journal of Wildlife Management. 87(5). 6 indexed citations
4.
Thornton, Daniel H., et al.. (2023). Trucks versus treks: The relative influence of motorized versus nonmotorized recreation on a mammal community. Ecological Applications. 33(7). e2916–e2916. 4 indexed citations
5.
Murray, Dennis L., et al.. (2023). Conventional niche overlap measurements are not effective for assessing interspecific competition. Frontiers in Ecology and Evolution. 11. 1 indexed citations
6.
Waller, John S., et al.. (2023). Canada lynx occupancy and density in Glacier National Park. Journal of Wildlife Management. 87(4). 5 indexed citations
7.
Olsoy, Peter J., Meghan J. Camp, Lisa A. Shipley, et al.. (2022). Food quality, security, and thermal refuge influence the use of microsites and patches by pygmy rabbits (Brachylagus idahoensis) across landscapes and seasons. Ecology and Evolution. 12(5). e8892–e8892. 5 indexed citations
8.
Kays, Roland, Maximilian L. Allen, Robert C. Dowler, et al.. (2022). Which mammals can be identified from camera traps and crowdsourced photographs?. Journal of Mammalogy. 103(4). 767–775. 23 indexed citations
9.
10.
Olson, Lucretia E., Joseph D. Holbrook, Jacob S. Ivan, et al.. (2021). Improved prediction of Canada lynx distribution through regional model transferability and data efficiency. Ecology and Evolution. 11(4). 1667–1690. 15 indexed citations
11.
12.
Vynne, Carly, et al.. (2020). The influence of spatial and temporal scale on the relative importance of biotic vs. abiotic factors for species distributions. Diversity and Distributions. 27(2). 327–343. 23 indexed citations
13.
Thornton, Daniel H. & Lyn C. Branch. (2019). Transboundary mammals in the Americas: Asymmetries in protection challenge climate change resilience. Diversity and Distributions. 25(4). 674–683. 14 indexed citations
14.
Thornton, Daniel H., Lyn C. Branch, & Dennis L. Murray. (2019). Distribution and connectivity of protected areas in the Americas facilitates transboundary conservation. Ecological Applications. 30(2). e02027–e02027. 23 indexed citations
15.
Rachlow, Janet L., Peter J. Olsoy, Mark A. Chappell, et al.. (2018). Habitat structure modifies microclimate: An approach for mapping fine‐scale thermal refuge. Methods in Ecology and Evolution. 9(6). 1648–1657. 60 indexed citations
16.
Olsoy, Peter J., Lisa A. Shipley, Janet L. Rachlow, et al.. (2017). Unmanned aerial systems measure structural habitat features for wildlife across multiple scales. Methods in Ecology and Evolution. 9(3). 594–604. 40 indexed citations
17.
Branch, Lyn C., et al.. (2017). Response of pumas (Puma concolor) to migration of their primary prey in Patagonia. PLoS ONE. 12(12). e0188877–e0188877. 21 indexed citations
18.
Murray, Dennis L., Michael J. L. Peers, Yasmine N. Majchrzak, et al.. (2017). Continental divide: Predicting climate-mediated fragmentation and biodiversity loss in the boreal forest. PLoS ONE. 12(5). e0176706–e0176706. 34 indexed citations
19.
Thornton, Daniel H. & Dennis L. Murray. (2014). Influence of hybridization on niche shifts in expanding coyote populations. Diversity and Distributions. 20(11). 1355–1364. 20 indexed citations
20.
Thornton, Daniel H., Lyn C. Branch, & Melvin E. Sunquist. (2011). The relative influence of habitat loss and fragmentation: Do tropical mammals meet the temperate paradigm?. Ecological Applications. 21(6). 2324–2333. 69 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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