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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:

Subsampling scaling
Anna Levina, Viola Priesemann
Nature Communications (2017) Vol. 8, Iss. 1
Open Access | Times Cited: 98

Showing 51-75 of 98 citing articles:

Deep-learning reconstruction of complex dynamical networks from incomplete data
Xiao Ding, Ling-Wei Kong, Haifeng Zhang, et al.
Chaos An Interdisciplinary Journal of Nonlinear Science (2024) Vol. 34, Iss. 4
Open Access | Times Cited: 1
Maximum-entropy-based metrics for quantifying critical dynamics in spiking neuron data
Felipe Serafim, Tawan T. A. Carvalho, Mauro Copelli, et al.
Physical review. E (2024) Vol. 110, Iss. 2
Closed 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
Homeostatic plasticity and external input shape neural network dynamics
Johannes Zierenberg, Jens Wilting, Viola Priesemann
bioRxiv (Cold Spring Harbor Laboratory) (2018)
Open Access | Times Cited: 12
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
Deconstructing scale-free neuronal avalanches: behavioral transitions and neuronal response
Davor Curic, Victorita E. Ivan, David T Cuesta, et al.
Journal of Physics Complexity (2021) Vol. 2, Iss. 4, pp. 045010-045010
Open Access | Times Cited: 10
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
Spontaneous activity emerging from an inferred network model captures complex spatio-temporal dynamics of spike data
Cristiano Capone, Guido Gigante, Paolo Del Giudice
Scientific Reports (2018) Vol. 8, Iss. 1
Open Access | Times Cited: 11
Measuring neuronal avalanches to inform brain-computer interfaces
Marie‐Constance Corsi, Pierpaolo Sorrentino, Denis Schwartz, et al.
iScience (2023) Vol. 27, Iss. 1, pp. 108734-108734
Open Access | Times Cited: 3
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
Correlated microtiming deviations in jazz and rock music
Mathias Sogorski, T. Geisel, Viola Priesemann
PLoS ONE (2018) Vol. 13, Iss. 1, pp. e0186361-e0186361
Open Access | Times Cited: 7
Modelling on the very large-scale connectome
Géza Ódor, Michael T. Gastner, Jeffrey Kelling, et al.
Journal of Physics Complexity (2021) Vol. 2, Iss. 4, pp. 045002-045002
Open Access | Times Cited: 7
Fading Memory, Plasticity, and Criticality in Recurrent Networks
Bruno Del Papa, Viola Priesemann, Jochen Triesch
Springer series on bio- and neurosystems (2019), pp. 95-115
Closed Access | Times Cited: 6
Characterizing spreading dynamics of subsampled systems with nonstationary external input
Jorge de Heuvel, Jens Wilting, Moritz F. P. Becker, et al.
Physical review. E (2020) Vol. 102, Iss. 4
Open Access | Times Cited: 6
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
Detrending Moving Average Algorithm: Quantifying Heterogeneity in Financial Data
Linda Ponta, A. Carbone, Silvano Cincotti
(2017), pp. 395-400
Open Access | Times Cited: 4
From neuronal spikes to avalanches: Effects and circumvention of time binning
Johannes Pausch
Physical Review Research (2022) Vol. 4, Iss. 2
Open Access | Times Cited: 3
Parabolic avalanche scaling in the synchronization of cortical cell assemblies
Elliott L. Capek, Tiago L. Ribeiro, Patrick Kells, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 3
Percolation theory of self-exciting temporal processes
Daniele Notarmuzi, Claudio Castellano, Alessandro Flammini, et al.
Physical review. E (2021) Vol. 103, Iss. 2
Open Access | Times Cited: 4
Topology-dependent coalescence controls scaling exponents in finite networks
Roxana Zeraati, Victor Buendía, Tatiana A. Engel, et al.
Physical Review Research (2024) Vol. 6, Iss. 2
Open Access
Distinguishing subsampled power laws from other heavy-tailed distributions
Silja Sormunen, Lasse Leskelä, Jari Saramäki
Physical review. E (2024) Vol. 109, Iss. 5
Open Access
Nanoporous Platinum Microelectrode Arrays for Neuroscience Applications
Nicolai Winter‐Hjelm, Leik Isdal, P. Köllensperger, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Probing the edge of synchronization: Slow waves erode resting activity in behaving monkeys
Antonio Pazienti, Andrea Galluzzi, Pierpaolo Pani, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
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
Neuronal avalanches in level model under the influence of noisy drive
Abdul Quadir, Rahul Chhimpa, Haider Hasan Jafri, et al.
The European Physical Journal B (2024) Vol. 97, Iss. 10
Closed Access

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