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:

Undersampled Critical Branching Processes on Small-World and Random Networks Fail to Reproduce the Statistics of Spike Avalanches
Tiago L. Ribeiro, Sidarta Ribeiro, Hindiael Belchior, et al.
PLoS ONE (2014) Vol. 9, Iss. 4, pp. e94992-e94992
Open Access | Times Cited: 66

Showing 26-50 of 66 citing articles:

State-Dependent Propagation of Neuronal Sub-Population in Spontaneous Synchronized Bursts
Yuichiro Yada, Ryohei Kanzaki, Hirokazu Takahashi
Frontiers in Systems Neuroscience (2016) Vol. 10
Open Access | Times Cited: 29

Neuronal Avalanches in Input and Associative Layers of Auditory Cortex
Zac Bowen, Daniel E. Winkowski, Saurav Seshadri, et al.
Frontiers in Systems Neuroscience (2019) Vol. 13
Open Access | Times Cited: 29

Description of spreading dynamics by microscopic network models and macroscopic branching processes can differ due to coalescence
Johannes Zierenberg, Jens Wilting, Viola Priesemann, et al.
Physical review. E (2020) Vol. 101, Iss. 2
Open Access | Times Cited: 25

The recovery of parabolic avalanches in spatially subsampled neuronal networks at criticality
Keshav Srinivasan, Tiago L. Ribeiro, Patrick Kells, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 2

Single-Cell Membrane Potential Fluctuations Evince Network Scale-Freeness and Quasicriticality
James K. Johnson, Nathaniel C. Wright, Jì Xià, et al.
Journal of Neuroscience (2019) Vol. 39, Iss. 24, pp. 4738-4759
Open Access | Times Cited: 19

Hippocampal cognitive and relational map paradigms explored by multisensory encoding recording with wide-field calcium imaging
Dechuan Sun, Noor E Karishma Shaik, Ranjith Rajasekharan Unnithan, et al.
iScience (2023) Vol. 27, Iss. 1, pp. 108603-108603
Open Access | Times Cited: 6

Similar local neuronal dynamics may lead to different collective behavior
Margarita M. Sánchez Díaz, Eyisto J. Aguilar Trejo, Daniel A. Mártin, et al.
Physical review. E (2021) Vol. 104, Iss. 6
Closed Access | Times Cited: 14

Trial-by-trial variability in cortical responses exhibits scaling in spatial correlations predicted from critical dynamics
Tiago L. Ribeiro, Shan Yu, Daniel A. Mártin, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 14

Fingerprints of a second order critical line in developing neural networks
Karlis Kanders, Hyungsub Lee, Nari Hong, et al.
Communications Physics (2020) Vol. 3, Iss. 1
Open Access | Times Cited: 13

Box scaling as a proxy of finite size correlations
Daniel A. Mártin, Tiago L. Ribeiro, Sergio A. Cannas, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 12

Criticality and universality in neuronal cultures during 'up' and 'down' states
Mohammad Yaghoubi, Javier G. Orlandi, Michael A. Colicos, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1

The recovery of parabolic avalanches in spatially subsampled neuronal networks at criticality
Keshav Srinivasan, Tiago L. Ribeiro, Patrick Kells, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1

Criticality and universality in neuronal cultures during “up” and “down” states
Mohammad Yaghoubi, Javier G. Orlandi, Michael A. Colicos, et al.
Frontiers in Neural Circuits (2024) Vol. 18
Open Access | Times Cited: 1

A unified picture of neuronal avalanches arises from the understanding of sampling effects
João Pinheiro Neto, F. Paul Spitzner, Viola Priesemann
bioRxiv (Cold Spring Harbor Laboratory) (2019)
Open Access | Times Cited: 11

Learning populations with hubs govern the initiation and propagation of spontaneous bursts in neuronal networks after learning
Xiaoli Jia, Wenwei Shao, Nan Hu, et al.
Frontiers in Neuroscience (2022) Vol. 16
Open Access | Times Cited: 7

Sampling effects and measurement overlap can bias the inference of neuronal avalanches
João Pinheiro Neto, F. Paul Spitzner, Viola Priesemann
PLoS Computational Biology (2022) Vol. 18, Iss. 11, pp. e1010678-e1010678
Open Access | Times Cited: 7

Long-term stability of avalanche scaling and integrative network organization in prefrontal and premotor cortex
Stephanie R. Miller, Shan Yu, Sinisa Pajevic, et al.
Network Neuroscience (2021), pp. 1-22
Open Access | Times Cited: 8

Phase transitions and self-organized criticality in networks of stochastic spiking neurons
Ludmila Brochini, Ariadne de Andrade Costa, Miguel Abadi, et al.
arXiv (Cornell University) (2016)
Open Access | Times Cited: 4

Assessing Criticality in Experiments
Viola Priesemann, Anna Levina, Jens Wilting
Springer series on bio- and neurosystems (2019), pp. 199-232
Closed Access | Times Cited: 5

On the ground state of spiking network activity in mammalian cortex
Jens Wilting, Viola Priesemann
arXiv (Cornell University) (2018)
Closed Access | Times Cited: 3

Inference, validation and predictions about statistics and propagation of cortical spiking in vivo
Jens Wilting, Viola Priesemann
bioRxiv (Cold Spring Harbor Laboratory) (2018)
Open Access | Times Cited: 3

The scale-invariant, temporal profile of neuronal avalanches in relation to cortical γ–oscillations
Stephanie R. Miller, Shan Yu, Dietmar Plenz
bioRxiv (Cold Spring Harbor Laboratory) (2019)
Open Access | Times Cited: 3

Dynamics and Potential Significance of Spontaneous Activity in the Habenula
Suryadi, Ruey‐Kuang Cheng, Elliot Birkett, et al.
eNeuro (2022) Vol. 9, Iss. 5, pp. ENEURO.0287-21.2022
Open Access | Times Cited: 2

Finite-size correlation behavior near a critical point: A simple metric for monitoring the state of a neural network
Eyisto J. Aguilar Trejo, Daniel A. Mártin, Dulara De Zoysa, et al.
Physical review. E (2022) Vol. 106, Iss. 5
Open Access | Times Cited: 2

Box-scaling as a proxy of finite-size correlations
Daniel A. Mártin, Tiago L. Ribeiro, Sergio A. Cannas, et al.
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 2

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