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:

Terrestrial animal tracking as an eye on life and planet
Roland Kays, Margaret C. Crofoot, Walter Jetz, et al.
Science (2015) Vol. 348, Iss. 6240
Open Access | Times Cited: 1395

Showing 1-25 of 1395 citing articles:

Using DeepLabCut for 3D markerless pose estimation across species and behaviors
Tanmay Nath, Alexander Mathis, An Chi Chen, et al.
Nature Protocols (2019) Vol. 14, Iss. 7, pp. 2152-2176
Open Access | Times Cited: 1154

A suite of global, cross-scale topographic variables for environmental and biodiversity modeling
Giuseppe Amatulli, Sami Domisch, Mao‐Ning Tuanmu, et al.
Scientific Data (2018) Vol. 5, Iss. 1
Open Access | Times Cited: 616

Animal movement tools (amt): R package for managing tracking data and conducting habitat selection analyses
Johannes Signer, John Fieberg, Tal Avgar
Ecology and Evolution (2019) Vol. 9, Iss. 2, pp. 880-890
Open Access | Times Cited: 549

ctmm: anrpackage for analyzing animal relocation data as a continuous‐time stochastic process
Justin M. Calabrese, Chris H. Fleming, Eliezer Gurarie
Methods in Ecology and Evolution (2016) Vol. 7, Iss. 9, pp. 1124-1132
Open Access | Times Cited: 500

DeepPoseKit, a software toolkit for fast and robust animal pose estimation using deep learning
Jacob M. Graving, Daniel H. Chae, Hemal Naik, et al.
eLife (2019) Vol. 8
Open Access | Times Cited: 464

Key Questions in Marine Megafauna Movement Ecology
Graeme C. Hays, Luciana C. Ferreira, Ana M. M. Sequeira, et al.
Trends in Ecology & Evolution (2016) Vol. 31, Iss. 6, pp. 463-475
Open Access | Times Cited: 446

Applications of machine learning in animal behaviour studies
John Joseph Valletta, Colin J. Torney, Michael Kings, et al.
Animal Behaviour (2017) Vol. 124, pp. 203-220
Open Access | Times Cited: 446

Essential biodiversity variables for mapping and monitoring species populations
Walter Jetz, Mélodie A. McGeoch, Robert Guralnick, et al.
Nature Ecology & Evolution (2019) Vol. 3, Iss. 4, pp. 539-551
Open Access | Times Cited: 410

Perspectives in machine learning for wildlife conservation
Devis Tuia, Benjamin Kellenberger, Sara Beery, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 403

AudioMoth: Evaluation of a smart open acoustic device for monitoring biodiversity and the environment
Andrew P. Hill, Peter Prince, Evelyn Piña‐Covarrubias, et al.
Methods in Ecology and Evolution (2017) Vol. 9, Iss. 5, pp. 1199-1211
Open Access | Times Cited: 387

A guide to null models for animal social network analysis
Damien R. Farine
Methods in Ecology and Evolution (2017) Vol. 8, Iss. 10, pp. 1309-1320
Open Access | Times Cited: 385

Scaling‐up camera traps: monitoring the planet's biodiversity with networks of remote sensors
Robin Steenweg, Mark Hebblewhite, Roland Kays, et al.
Frontiers in Ecology and the Environment (2016) Vol. 15, Iss. 1, pp. 26-34
Open Access | Times Cited: 378

Multi-animal pose estimation, identification and tracking with DeepLabCut
Jessy Lauer, Mu Zhou, Shaokai Ye, et al.
Nature Methods (2022) Vol. 19, Iss. 4, pp. 496-504
Open Access | Times Cited: 370

What's your move? Movement as a link between personality and spatial dynamics in animal populations
Orr Spiegel, Stephan T. Leu, C. Michael Bull, et al.
Ecology Letters (2016) Vol. 20, Iss. 1, pp. 3-18
Closed Access | Times Cited: 367

Drones count wildlife more accurately and precisely than humans
Jarrod C. Hodgson, Rowan Mott, Shane M. Baylis, et al.
Methods in Ecology and Evolution (2018) Vol. 9, Iss. 5, pp. 1160-1167
Open Access | Times Cited: 363

Big-data approaches lead to an increased understanding of the ecology of animal movement
Ran Nathan, Christopher T. Monk, Robert Arlinghaus, et al.
Science (2022) Vol. 375, Iss. 6582
Open Access | Times Cited: 359

Translating Marine Animal Tracking Data into Conservation Policy and Management
Graeme C. Hays, Helen Bailey, Steven J. Bograd, et al.
Trends in Ecology & Evolution (2019) Vol. 34, Iss. 5, pp. 459-473
Open Access | Times Cited: 331

Emerging Technologies to Conserve Biodiversity
Stuart L. Pimm, Sky K. Alibhai, Richard A. Bergl, et al.
Trends in Ecology & Evolution (2015) Vol. 30, Iss. 11, pp. 685-696
Closed Access | Times Cited: 309

Mass seasonal bioflows of high-flying insect migrants
Gao Hu, Ka S. Lim, Nir Horvitz, et al.
Science (2016) Vol. 354, Iss. 6319, pp. 1584-1587
Open Access | Times Cited: 308

The Motus Wildlife Tracking System: a collaborative research network to enhance the understanding of wildlife movement
Philip D. Taylor, Tara L. Crewe, Stuart A. Mackenzie, et al.
Avian Conservation and Ecology (2017) Vol. 12, Iss. 1
Open Access | Times Cited: 300

Animals and the zoogeochemistry of the carbon cycle
Oswald J. Schmitz, Christopher C. Wilmers, Shawn Leroux, et al.
Science (2018) Vol. 362, Iss. 6419
Closed Access | Times Cited: 300

Optimizing the use of biologgers for movement ecology research
Hannah J. Williams, Lucy A. Taylor, Simon Benhamou, et al.
Journal of Animal Ecology (2019) Vol. 89, Iss. 1, pp. 186-206
Open Access | Times Cited: 263

Building essential biodiversity variables (EBVs) of species distribution and abundance at a global scale
W. Daniel Kissling, Jorge Ahumada, Anne Bowser, et al.
Biological reviews/Biological reviews of the Cambridge Philosophical Society (2017) Vol. 93, Iss. 1, pp. 600-625
Open Access | Times Cited: 257

A phylogenetically controlled meta‐analysis of biologging device effects on birds: Deleterious effects and a call for more standardized reporting of study data
Thomas W. Bodey, Ian R. Cleasby, Fraser Bell, et al.
Methods in Ecology and Evolution (2017) Vol. 9, Iss. 4, pp. 946-955
Open Access | Times Cited: 237

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