Danielle Stokeld

1.0k total citations
19 papers, 378 citations indexed

About

Danielle Stokeld is a scholar working on Ecology, Genetics and Nature and Landscape Conservation. According to data from OpenAlex, Danielle Stokeld has authored 19 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Ecology, 8 papers in Genetics and 4 papers in Nature and Landscape Conservation. Recurrent topics in Danielle Stokeld's work include Wildlife Ecology and Conservation (12 papers), Human-Animal Interaction Studies (8 papers) and Animal Ecology and Behavior Studies (5 papers). Danielle Stokeld is often cited by papers focused on Wildlife Ecology and Conservation (12 papers), Human-Animal Interaction Studies (8 papers) and Animal Ecology and Behavior Studies (5 papers). Danielle Stokeld collaborates with scholars based in Australia, United States and Philippines. Danielle Stokeld's co-authors include Graeme R. Gillespie, John C. Z. Woinarski, Brydie M. Hill, Brett P. Murphy, Andrew J. Hamer, Alaric Fisher, Sarah Legge, Chris R. Dickman, Russell Palmer and Tim S. Doherty and has published in prestigious journals such as Biological Conservation, Veterinary Parasitology and Diversity and Distributions.

In The Last Decade

Danielle Stokeld

19 papers receiving 372 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Danielle Stokeld Australia 11 301 123 91 81 78 19 378
Lauren Sullivan United States 4 239 0.8× 129 1.0× 91 1.0× 42 0.5× 30 0.4× 6 375
Cheryl Lohr Australia 12 245 0.8× 194 1.6× 40 0.4× 57 0.7× 37 0.5× 36 381
Paige M. Schmidt United States 10 258 0.9× 129 1.0× 56 0.6× 43 0.5× 41 0.5× 23 372
Andrew R. Kuhns United States 9 346 1.1× 63 0.5× 168 1.8× 181 2.2× 68 0.9× 20 451
Jesús Javier Alemán Alonso Spain 3 335 1.1× 192 1.6× 25 0.3× 58 0.7× 49 0.6× 5 401
Nina Attias Brazil 13 310 1.0× 54 0.4× 59 0.6× 47 0.6× 79 1.0× 42 428
Kimberleigh J. Field United States 8 221 0.7× 59 0.5× 172 1.9× 195 2.4× 69 0.9× 10 377
Rachel Paltridge Australia 14 616 2.0× 229 1.9× 105 1.2× 171 2.1× 130 1.7× 23 682
Aurelio Martín Spain 11 513 1.7× 265 2.2× 83 0.9× 104 1.3× 109 1.4× 24 691
Ariane Massé Canada 11 369 1.2× 48 0.4× 46 0.5× 86 1.1× 40 0.5× 19 450

Countries citing papers authored by Danielle Stokeld

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Stokeld

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danielle Stokeld

This figure shows the co-authorship network connecting the top 25 collaborators of Danielle Stokeld. A scholar is included among the top collaborators of Danielle Stokeld 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 Danielle Stokeld. Danielle Stokeld 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.
Ruykys, Laura, et al.. (2023). Novel acoustic lure methodology facilitates detection of the cryptic ghost bat at a landscape scale. Wildlife Research. 51(1). 1 indexed citations
2.
Box, Jayne Brim, et al.. (2022). Mapping terrestrial groundwater‐dependent ecosystems in arid Australia using Landsat‐8 time‐series data and singular value decomposition. Remote Sensing in Ecology and Conservation. 8(4). 464–476. 10 indexed citations
3.
Stokeld, Danielle, et al.. (2021). No mammal recovery from feral cat experimental exclusion trials in Kakadu National Park. Wildlife Research. 49(4). 335–346. 2 indexed citations
4.
Davies, Hugh F., et al.. (2021). Variation in feral cat density between two large adjacent islands in Australia’s monsoon tropics. Pacific Conservation Biology. 28(1). 18–24. 8 indexed citations
5.
Stobo‐Wilson, Alyson M., Danielle Stokeld, Luke D. Einoder, et al.. (2020). Habitat structural complexity explains patterns of feral cat and dingo occurrence in monsoonal Australia. Diversity and Distributions. 26(7). 832–842. 50 indexed citations
6.
Stobo‐Wilson, Alyson M., Danielle Stokeld, Luke D. Einoder, et al.. (2020). Bottom-up and top-down processes influence contemporary patterns of mammal species richness in Australia's monsoonal tropics. Biological Conservation. 247. 108638–108638. 31 indexed citations
7.
Stokeld, Danielle, Alaric Fisher, Brydie M. Hill, et al.. (2018). What do predator diets tell us about mammal declines in Kakadu National Park?. Wildlife Research. 45(1). 92–101. 21 indexed citations
8.
Woinarski, John C. Z., Brett P. Murphy, Russell Palmer, et al.. (2018). How many reptiles are killed by cats in Australia?. Wildlife Research. 45(3). 247–266. 85 indexed citations
9.
Stokeld, Danielle, Alaric Fisher, Brydie M. Hill, et al.. (2018). Rapid increase of Australian tropical savanna reptile abundance following exclusion of feral cats. Biological Conservation. 225. 213–221. 14 indexed citations
10.
Barbosa, Amanda, Bethany Jackson, K. S. Warren, et al.. (2017). Prevalence, genetic diversity and potential clinical impact of blood-borne and enteric protozoan parasites in native mammals from northern Australia. Veterinary Parasitology. 238. 94–105. 22 indexed citations
11.
Hamer, Andrew J., et al.. (2017). Terrestrial habitat and individual fitness increase survival of a freshwater turtle in an urban landscape. Urban Ecosystems. 21(1). 71–83. 10 indexed citations
12.
Beesley, Leah, et al.. (2017). Preliminary evidence suggests freshwater turtles respond positively to an environmental water delivery during drought. Australian Journal of Zoology. 64(5). 370–373. 15 indexed citations
13.
Kurucz, Nina, Peter Markey, Anthony Draper, et al.. (2016). Investigation into High Barmah Forest Virus Disease Case Numbers Reported in the Northern Territory, Australia in 2012–2013. Vector-Borne and Zoonotic Diseases. 16(2). 110–116. 6 indexed citations
14.
Jackson, Bethany, et al.. (2015). Investigation of potential diseases associated with Northern Territory mammal declines. Murdoch Research Repository (Murdoch University). 5 indexed citations
15.
Jackson, Bethany, et al.. (2015). Investigation of potential diseases associated with NorthernTerritory mammal declines - Final report. 2 indexed citations
16.
Hamer, Andrew J., et al.. (2015). Road density and wetland context alter population structure of a freshwater turtle. Austral Ecology. 41(1). 53–64. 13 indexed citations
17.
Gillespie, Graeme R., et al.. (2015). A guide for the use of remote cameras for wildlife survey in northern Australia. 13 indexed citations
18.
19.
Stokeld, Danielle, Andrew J. Hamer, Rodney van der Ree, Vincent Pettigrove, & Graeme R. Gillespie. (2014). Factors influencing occurrence of a freshwater turtle in an urban landscape: a resilient species?. Wildlife Research. 41(2). 163–171. 22 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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