OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Estimating density for species conservation: Comparing camera trap spatial count models to genetic spatial capture-recapture models
Joanna M. Burgar, Frances E. C. Stewart, John P. Volpe, et al.
Global Ecology and Conservation (2018) Vol. 15, pp. e00411-e00411
Open Access | Times Cited: 61

Showing 1-25 of 61 citing articles:

Abundance estimation of unmarked animals based on camera‐trap data
Neil A. Gilbert, John Clare, Jennifer L. Stenglein, et al.
Conservation Biology (2020) Vol. 35, Iss. 1, pp. 88-100
Closed Access | Times Cited: 185

Global camera trap synthesis highlights the importance of protected areas in maintaining mammal diversity
Cheng Chen, Jedediah F. Brodie, Roland Kays, et al.
Conservation Letters (2022) Vol. 15, Iss. 2
Open Access | Times Cited: 52

Comparison of methods for estimating density and population trends for low-density Asian bears
Dana J. Morin, John Boulanger, Richard Bischof, et al.
Global Ecology and Conservation (2022) Vol. 35, pp. e02058-e02058
Open Access | Times Cited: 31

Genetic tagging in the Anthropocene: scaling ecology from alleles to ecosystems
Clayton T. Lamb, Adam T. Ford, Michael F. Proctor, et al.
Ecological Applications (2019) Vol. 29, Iss. 4
Open Access | Times Cited: 51

Landscape-scale population trends in the occurrence and abundance of wildlife populations using long term camera-trapping data
Joshua P. Twining, David W. Kramer, Kelly A. Perkins, et al.
Biological Conservation (2024) Vol. 290, pp. 110398-110398
Closed Access | Times Cited: 5

The importance of considering multiple interacting species for conservation of species at risk
Joanna M. Burgar, A. Cole Burton, Jason T. Fisher
Conservation Biology (2018) Vol. 33, Iss. 3, pp. 709-715
Closed Access | Times Cited: 42

The Debate About Bait: A Red Herring in Wildlife Research
Frances E. C. Stewart, John P. Volpe, Jason T. Fisher
Journal of Wildlife Management (2019) Vol. 83, Iss. 4, pp. 985-992
Closed Access | Times Cited: 38

Corridors best facilitate functional connectivity across a protected area network
Frances E. C. Stewart, Siobhan Darlington, John P. Volpe, et al.
Scientific Reports (2019) Vol. 9, Iss. 1
Open Access | Times Cited: 37

Fire severity and its local extent are key to assessing impacts of Australian mega‐fires on koala (Phascolarctos cinereus) density
Bradley Law, Leroy Gonsalves, Joanna M. Burgar, et al.
Global Ecology and Biogeography (2022) Vol. 31, Iss. 4, pp. 714-726
Closed Access | Times Cited: 22

Multiple observation processes in spatial capture–recapture models: How much do we gain?
Mahdieh Tourani, Pierre Dupont, Muhammad Ali Nawaz, et al.
Ecology (2020) Vol. 101, Iss. 7
Open Access | Times Cited: 31

Monitoring and habitat inferences change with population metric: a case study with mesocarnivores
Andrew Butler, Mairi K. P. Poisson, Patrick Tate, et al.
Wildlife Research (2025) Vol. 52, Iss. 3
Closed Access

One‐stage spatial mark–resight analysis reveals an increasing grizzly bear population with declining density near roads
Jesse Whittington, Mark Hebblewhite, Connor J. Meyer, et al.
Ecosphere (2025) Vol. 16, Iss. 4
Open Access

A cautionary tale comparing spatial count and partial identity models for estimating densities of threatened and unmarked populations
Catherine Sun, Joanna M. Burgar, Jason T. Fisher, et al.
Global Ecology and Conservation (2022) Vol. 38, pp. e02268-e02268
Open Access | Times Cited: 16

Estimating animal abundance at multiple scales by spatially explicit capture–recapture
Eric J. Howe, Derek Potter, Kaela Beauclerc, et al.
Ecological Applications (2022) Vol. 32, Iss. 7
Open Access | Times Cited: 15

A comparison of density estimation methods for monitoring marked and unmarked animal populations
Joshua P. Twining, Claire McFarlane, Denise O’Meara, et al.
Ecosphere (2022) Vol. 13, Iss. 10
Open Access | Times Cited: 15

Density estimates for Canada lynx vary among estimation methods
Darcy Doran‐Myers, Alice J. Kenney, Charles J. Krebs, et al.
Ecosphere (2021) Vol. 12, Iss. 10
Open Access | Times Cited: 19

Evaluating and integrating spatial capture–recapture models with data of variable individual identifiability
Joel Ruprecht, Charlotte E. Eriksson, Tavis D. Forrester, et al.
Ecological Applications (2021) Vol. 31, Iss. 7
Open Access | Times Cited: 18

Influence of landscape attributes on Virginia opossum density
David A. Bernasconi, Wesley C. Dixon, Matthew T. Hamilton, et al.
Journal of Wildlife Management (2022) Vol. 86, Iss. 7
Open Access | Times Cited: 12

Cumulative Effects and Boreal Woodland Caribou: How Bow-Tie Risk Analysis Addresses a Critical Issue in Canada's Forested Landscapes
Richard S. Winder, Frances E. C. Stewart, Silke Nebel, et al.
Frontiers in Ecology and Evolution (2020) Vol. 8
Open Access | Times Cited: 17

The influence of camera trap flash type on the behavioural reactions and trapping rates of red deer and roe deer
Maik Henrich, Sandra Niederlechner, Max Kröschel, et al.
Remote Sensing in Ecology and Conservation (2020) Vol. 6, Iss. 3, pp. 399-410
Open Access | Times Cited: 15

Estimating population status and site occupancy of saltwater crocodiles Crocodylus porosus in the Ayeyarwady delta, Myanmar: Inferences from spatial modeling techniques
Kay Zin Than, Colin Thomas Strine, Tuanjit Sritongchuay, et al.
Global Ecology and Conservation (2020) Vol. 24, pp. e01206-e01206
Open Access | Times Cited: 14

Automatically detecting the wild giant panda using deep learning with context and species distribution model
Hanlin Wang, Jinshan Zhong, Y. H. Xu, et al.
Ecological Informatics (2022) Vol. 72, pp. 101868-101868
Closed Access | Times Cited: 9

Density estimates of unmarked mammals: comparing two models and assumptions across multiple species and years
Jason T. Fisher, Melanie Dickie, Joanna M. Burgar, et al.
Canadian Journal of Zoology (2023) Vol. 102, Iss. 3, pp. 286-297
Closed Access | Times Cited: 4

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