Mark A. Hurley

1.8k total citations
31 papers, 935 citations indexed

About

Mark A. Hurley is a scholar working on Ecology, Small Animals and Ecological Modeling. According to data from OpenAlex, Mark A. Hurley has authored 31 papers receiving a total of 935 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Ecology, 6 papers in Small Animals and 6 papers in Ecological Modeling. Recurrent topics in Mark A. Hurley's work include Wildlife Ecology and Conservation (24 papers), Rangeland and Wildlife Management (14 papers) and Species Distribution and Climate Change (6 papers). Mark A. Hurley is often cited by papers focused on Wildlife Ecology and Conservation (24 papers), Rangeland and Wildlife Management (14 papers) and Species Distribution and Climate Change (6 papers). Mark A. Hurley collaborates with scholars based in United States, France and South Africa. Mark A. Hurley's co-authors include Mark Hebblewhite, R. Terry Bowyer, Kevin L. Monteith, John G. Kie, Peter Zager, Matthew J. Kauffman, Ryan A. Long, Hollie M. Miyasaki, Douglas E. McWhirter and Jacob R. Goheen and has published in prestigious journals such as Science, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Mark A. Hurley

28 papers receiving 907 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark A. Hurley United States 13 813 127 127 121 120 31 935
Hillary Madzikanda Zimbabwe 13 684 0.8× 135 1.1× 100 0.8× 135 1.1× 171 1.4× 18 784
Divya Vasudev India 14 663 0.8× 152 1.2× 166 1.3× 88 0.7× 73 0.6× 30 785
Nicolas Courbin France 13 648 0.8× 157 1.2× 107 0.8× 59 0.5× 101 0.8× 23 744
Adam Barlow United States 15 609 0.7× 89 0.7× 111 0.9× 140 1.2× 63 0.5× 21 727
Michelle Henley South Africa 16 502 0.6× 136 1.1× 73 0.6× 73 0.6× 190 1.6× 49 703
Riddhika Kalle South Africa 21 845 1.0× 155 1.2× 224 1.8× 107 0.9× 140 1.2× 52 967
Jon P. Beckmann United States 18 1.1k 1.4× 125 1.0× 209 1.6× 57 0.5× 172 1.4× 44 1.3k
Varun R. Goswami India 15 618 0.8× 117 0.9× 148 1.2× 127 1.0× 86 0.7× 32 731
Kim Murray Berger United States 7 726 0.9× 161 1.3× 116 0.9× 82 0.7× 122 1.0× 12 788
Chloe Inskip United Kingdom 7 820 1.0× 86 0.7× 110 0.9× 231 1.9× 145 1.2× 7 945

Countries citing papers authored by Mark A. Hurley

Since Specialization
Citations

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

Fields of papers citing papers by Mark A. Hurley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark A. Hurley. 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 Mark A. Hurley. The network helps show where Mark A. Hurley may publish in the future.

Co-authorship network of co-authors of Mark A. Hurley

This figure shows the co-authorship network connecting the top 25 collaborators of Mark A. Hurley. A scholar is included among the top collaborators of Mark A. Hurley 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 Mark A. Hurley. Mark A. Hurley 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.
Bassing, Sarah B., David E. Ausband, Matthew A. Mumma, et al.. (2025). Mammalian predator co‐occurrence affected by prey and habitat more than competitor presence at multiple time scales. Ecological Monographs. 95(1). 1 indexed citations
2.
Cassirer, E. Frances, et al.. (2025). Effects of maternal condition, disease status, and behavior on survival of juvenile bighorn sheep. Journal of Wildlife Management. 89(3).
3.
Taylor, Kyle R., Chrissy Eckstrand, Laura B. A. Williams, et al.. (2024). Geographic Distribution and Neuropathology of Elaeophora schneideri in Shiras Moose (Alces alces shirasi) in Idaho, USA. Journal of Wildlife Diseases. 60(3). 727–733. 2 indexed citations
4.
Fattebert, Julien, Ellen O. Aikens, Scott Bergen, et al.. (2024). Estimating ungulate migration corridors from sparse movement data. Ecosphere. 15(9). 1 indexed citations
5.
DeCesare, Nicholas J., Richard B. Harris, Eric J. Bergman, et al.. (2024). Warm places, warm years, and warm seasons increase parasitizing of moose by winter ticks. Ecosphere. 15(3). 3 indexed citations
6.
Barker, Kristin J., Laura C. Gigliotti, Eric K. Cole, et al.. (2023). Diverse migratory portfolios drive inter‐annual switching behavior of elk across the Greater Yellowstone Ecosystem. Ecosphere. 14(5). 8 indexed citations
7.
8.
Nuñez, Tristan A., Mark A. Hurley, Tabitha A. Graves, et al.. (2022). A statistical framework for modelling migration corridors. Methods in Ecology and Evolution. 13(11). 2635–2648. 3 indexed citations
9.
Brown, Jennifer R., et al.. (2022). Big Tobacco, Tiny Targets: Campaign success in passing a TAPS ban in Georgia and keys to campaign success. Tobacco Prevention & Cessation. 8(Supplement).
10.
Hurley, Mark A., Mark Hebblewhite, & Jean‐Michel Gaillard. (2020). Competition for safe real estate, not food, drives density‐dependent juvenile survival in a large herbivore. Ecology and Evolution. 10(12). 5464–5475. 6 indexed citations
11.
Rachlow, Janet L., Timothy R. Johnson, Lisa A. Shipley, et al.. (2019). Linking forest management to moose population trends: The role of the nutritional landscape. PLoS ONE. 14(7). e0219128–e0219128. 28 indexed citations
12.
Horne, Jon S., et al.. (2019). Effects of wolf pack size and winter conditions on elk mortality. Journal of Wildlife Management. 83(5). 1103–1116. 16 indexed citations
13.
Horne, Jon S., et al.. (2018). Integrated population model to improve knowledge and management of Idaho wolves. Journal of Wildlife Management. 83(1). 32–42. 22 indexed citations
14.
Lukacs, Paul M., Michael S. Mitchell, Mark Hebblewhite, et al.. (2018). Factors influencing elk recruitment across ecotypes in the Western United States. Journal of Wildlife Management. 82(4). 698–710. 31 indexed citations
15.
Hurley, Mark A., Mark Hebblewhite, Paul M. Lukacs, et al.. (2017). Regional‐scale models for predicting overwinter survival of juvenile ungulates. Journal of Wildlife Management. 81(3). 364–378. 27 indexed citations
16.
Hurley, Mark A.. (2016). MULE DEER POPULATION DYNAMICS IN SPACE AND TIME: ECOLOGICAL MODELING TOOLS FOR MANAGING UNGULATES. The Mathematics Enthusiast. 1 indexed citations
17.
Hurley, Mark A., et al.. (2015). Cascading effects of habitat on maternal condition and life-history characteristics of neonatal mule deer. Journal of Mammalogy. 96(1). 194–205. 32 indexed citations
18.
Griffin, Kathleen A., Mark Hebblewhite, Hugh S. Robinson, et al.. (2011). Neonatal mortality of elk driven by climate, predator phenology and predator community composition. Journal of Animal Ecology. 80(6). 1246–1257. 141 indexed citations
19.
Long, Ryan A., John G. Kie, R. Terry Bowyer, & Mark A. Hurley. (2009). Resource Selection and Movements by Female Mule Deer Odocoileus hemionus : Effects of Reproductive Stage. Wildlife Biology. 15(3). 288–298. 75 indexed citations
20.
Blinn, Dean W., et al.. (1981). The effect of saline seeps and restricted light on the seasonal dynamics of phyto plankton communities within a southwestern usa desert canyon stream. Archiv für Hydrobiologie. 92(3). 287–305. 11 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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