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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:

Measuring behavior across scales
Gordon J Berman
BMC Biology (2018) Vol. 16, Iss. 1
Open Access | Times Cited: 192

Showing 1-25 of 192 citing articles:

DeepLabCut: markerless pose estimation of user-defined body parts with deep learning
Alexander Mathis, Pranav Mamidanna, Kevin M. Cury, et al.
Nature Neuroscience (2018) Vol. 21, Iss. 9, pp. 1281-1289
Closed Access | Times Cited: 3961
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: 463
Computational Neuroethology: A Call to Action
Sandeep Robert Datta, David J. Anderson, Kristin Branson, et al.
Neuron (2019) Vol. 104, Iss. 1, pp. 11-24
Open Access | Times Cited: 392
Quantifying behavior to understand the brain
Talmo Pereira, Joshua W. Shaevitz, Mala Murthy
Nature Neuroscience (2020) Vol. 23, Iss. 12, pp. 1537-1549
Open Access | Times Cited: 256
B-SOiD, an open-source unsupervised algorithm for identification and fast prediction of behaviors
Alexander Hsu, Eric A. Yttri
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 215
Unsupervised identification of the internal states that shape natural behavior
Adam J. Calhoun, Jonathan W. Pillow, Mala Murthy
Nature Neuroscience (2019) Vol. 22, Iss. 12, pp. 2040-2049
Open Access | Times Cited: 188
Deep learning-based behavioral analysis reaches human accuracy and is capable of outperforming commercial solutions
Oliver Sturman, Lukas von Ziegler, Christa Schläppi, et al.
Neuropsychopharmacology (2020) Vol. 45, Iss. 11, pp. 1942-1952
Open Access | Times Cited: 171
Mice alternate between discrete strategies during perceptual decision-making
Zoe C. Ashwood, Nicholas Roy, Iris R. Stone, et al.
Nature Neuroscience (2022) Vol. 25, Iss. 2, pp. 201-212
Open Access | Times Cited: 170
The emergence and influence of internal states
Steven W. Flavell, Nadine Gogolla, Matthew Lovett-Barron, et al.
Neuron (2022) Vol. 110, Iss. 16, pp. 2545-2570
Open Access | Times Cited: 139
Identifying behavioral structure from deep variational embeddings of animal motion
Kevin Luxem, Petra Mocellin, Falko Fuhrmann, et al.
Communications Biology (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 101
Keypoint-MoSeq: parsing behavior by linking point tracking to pose dynamics
Caleb Weinreb, Jonah E Pearl, Sherry Lin, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 61
Open-source tools for behavioral video analysis: Setup, methods, and best practices
Kevin Luxem, Jennifer J. Sun, Sean P Bradley, et al.
eLife (2023) Vol. 12
Open Access | Times Cited: 51
Keypoint-MoSeq: parsing behavior by linking point tracking to pose dynamics
Caleb Weinreb, Jonah E Pearl, Sherry Lin, et al.
Nature Methods (2024) Vol. 21, Iss. 7, pp. 1329-1339
Open Access | Times Cited: 43
A-SOiD, an active-learning platform for expert-guided, data-efficient discovery of behavior
Jens F. Tillmann, Alexander Hsu, Martin K. Schwarz, et al.
Nature Methods (2024) Vol. 21, Iss. 4, pp. 703-711
Open Access | Times Cited: 16
Capturing continuous, long timescale behavioral changes in Drosophila melanogaster postural data
Grace C. McKenzie‐Smith, Scott Wolf, Julien F. Ayroles, et al.
PLoS Computational Biology (2025) Vol. 21, Iss. 2, pp. e1012753-e1012753
Open Access | Times Cited: 2
Spatial and Temporal Locomotor Learning in Mouse Cerebellum
Dana Darmohray, Jovin R. Jacobs, Hugo Gravato Marques, et al.
Neuron (2019) Vol. 102, Iss. 1, pp. 217-231.e4
Open Access | Times Cited: 137
Rethomics: An R framework to analyse high-throughput behavioural data
Quentin Geissmann, Luis García Rodríguez, Esteban J. Beckwith, et al.
PLoS ONE (2019) Vol. 14, Iss. 1, pp. e0209331-e0209331
Open Access | Times Cited: 128
Continuous Whole-Body 3D Kinematic Recordings across the Rodent Behavioral Repertoire
Jesse D. Marshall, Diego Aldarondo, Timothy Dunn, et al.
Neuron (2020) Vol. 109, Iss. 3, pp. 420-437.e8
Open Access | Times Cited: 125
Big behavior: challenges and opportunities in a new era of deep behavior profiling
Lukas von Ziegler, Oliver Sturman, Johannes Bohacek
Neuropsychopharmacology (2020) Vol. 46, Iss. 1, pp. 33-44
Open Access | Times Cited: 123
Ultrasonic signals associated with different types of social behavior of mice
Daniel T. Sangiamo, Megan R. Warren, Joshua P. Neunuebel
Nature Neuroscience (2020) Vol. 23, Iss. 3, pp. 411-422
Open Access | Times Cited: 116
Natural and Artificial Intelligence: A brief introduction to the interplay between AI and neuroscience research
Tom Macpherson, Anne K. Churchland, Terry Sejnowski, et al.
Neural Networks (2021) Vol. 144, pp. 603-613
Open Access | Times Cited: 102
SLEAP: Multi-animal pose tracking
Talmo Pereira, Nathaniel Tabris, Junyu Li, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 95
A hierarchical 3D-motion learning framework for animal spontaneous behavior mapping
Kang Huang, Yaning Han, Ke Chen, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 72
Identifying Behavioral Structure from Deep Variational Embeddings of Animal Motion
Kevin Luxem, Petra Mocellin, Falko Fuhrmann, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 71
Capturing the continuous complexity of behaviour in Caenorhabditis elegans
Tosif Ahamed, Antonio Carlos Costa, Greg J. Stephens
Nature Physics (2020) Vol. 17, Iss. 2, pp. 275-283
Closed Access | Times Cited: 71
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