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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:

Macroscopic Description for Networks of Spiking Neurons
Ernest Montbrió, Diego Pazó, Alex Roxin
Physical Review X (2015) Vol. 5, Iss. 2
Open Access | Times Cited: 339

Showing 1-25 of 339 citing articles:

Non-reciprocal phase transitions
Michel Fruchart, Ryo Hanai, P. B. Littlewood, et al.
Nature (2021) Vol. 592, Iss. 7854, pp. 363-369
Open Access | Times Cited: 375
Mathematical Frameworks for Oscillatory Network Dynamics in Neuroscience
Peter Ashwin, Stephen Coombes, Rachel Nicks
The Journal of Mathematical Neuroscience (2016) Vol. 6, Iss. 1
Open Access | Times Cited: 278
Oscillators that sync and swarm
Kevin O’Keeffe, Hyunsuk Hong, Steven H. Strogatz
Nature Communications (2017) Vol. 8, Iss. 1
Open Access | Times Cited: 264
Understanding the dynamics of biological and neural oscillator networks through exact mean-field reductions: a review
Christian Bick, Marc Goodfellow, Carlo R. Laing, et al.
The Journal of Mathematical Neuroscience (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 227
The mathematics behind chimera states
Oleh E. Omel’chenko
Nonlinearity (2018) Vol. 31, Iss. 5, pp. R121-R164
Closed Access | Times Cited: 175
Discovering causal relations and equations from data
Gustau Camps‐Valls, Andreas Gerhardus, Urmi Ninad, et al.
Physics Reports (2023) Vol. 1044, pp. 1-68
Open Access | Times Cited: 44
Neural heterogeneity controls computations in spiking neural networks
Richard Gast, Sara A. Solla, Ann Kennedy
Proceedings of the National Academy of Sciences (2024) Vol. 121, Iss. 3
Open Access | Times Cited: 24
Towards a theory of cortical columns: From spiking neurons to interacting neural populations of finite size
Tilo Schwalger, Moritz Deger, Wulfram Gerstner
PLoS Computational Biology (2017) Vol. 13, Iss. 4, pp. e1005507-e1005507
Open Access | Times Cited: 155
Biologically Realistic Mean-Field Models of Conductance-Based Networks of Spiking Neurons with Adaptation
Matteo di Volo, Alberto Romagnoni, Cristiano Capone, et al.
Neural Computation (2019) Vol. 31, Iss. 4, pp. 653-680
Open Access | Times Cited: 96
Firing rate equations require a spike synchrony mechanism to correctly describe fast oscillations in inhibitory networks
Federico Devalle, Alex Roxin, Ernest Montbrió
PLoS Computational Biology (2017) Vol. 13, Iss. 12, pp. e1005881-e1005881
Open Access | Times Cited: 92
Dynamics of Noisy Oscillator Populations beyond the Ott-Antonsen Ansatz
Irina V. Tyulkina, Denis S. Goldobin, Lyudmila S. Klimenko, et al.
Physical Review Letters (2018) Vol. 120, Iss. 26
Open Access | Times Cited: 89
Next Generation Neural Mass Models
Stephen Coombes, Áine Byrne
PoliTO Springer series (2018), pp. 1-16
Closed Access | Times Cited: 86
A universal route to explosive phenomena
Christian Kuehn, Christian Bick
Science Advances (2021) Vol. 7, Iss. 16
Open Access | Times Cited: 81
Swarmalators under competitive time-varying phase interactions
Gourab Kumar Sar, Sayantan Nag Chowdhury, Matjaž Perc, et al.
New Journal of Physics (2022) Vol. 24, Iss. 4, pp. 043004-043004
Open Access | Times Cited: 52
Perspectives on adaptive dynamical systems
Jakub Sawicki, Rico Berner, Sarah A. M. Loos, et al.
Chaos An Interdisciplinary Journal of Nonlinear Science (2023) Vol. 33, Iss. 7
Open Access | Times Cited: 31
Exact finite-dimensional description for networks of globally coupled spiking neurons
Bastian Pietras, Rok Cestnik, Arkady Pikovsky
Physical review. E (2023) Vol. 107, Iss. 2
Open Access | Times Cited: 26
A unified framework for simplicial Kuramoto models
Marco Nurisso, Alexis Arnaudon, Maxime Lucas, et al.
Chaos An Interdisciplinary Journal of Nonlinear Science (2024) Vol. 34, Iss. 5
Open Access | Times Cited: 12
Macroscopic behavior of populations of quadratic integrate-and-fire neurons subject to non-Gaussian white noise
Denis S. Goldobin, Evelina V. Permyakova, Lyudmila S. Klimenko
Chaos An Interdisciplinary Journal of Nonlinear Science (2024) Vol. 34, Iss. 1
Open Access | Times Cited: 9
Order parameter dynamics in complex systems: From models to data
Zhigang Zheng, Can Xu, Jingfang Fan, et al.
Chaos An Interdisciplinary Journal of Nonlinear Science (2024) Vol. 34, Iss. 2
Open Access | Times Cited: 8
Exact Neural Fields Incorporating Gap Junctions
Carlo R. Laing
SIAM Journal on Applied Dynamical Systems (2015) Vol. 14, Iss. 4, pp. 1899-1929
Closed Access | Times Cited: 71
Transition from Asynchronous to Oscillatory Dynamics in Balanced Spiking Networks with Instantaneous Synapses
Matteo di Volo, Alessandro Torcini
Physical Review Letters (2018) Vol. 121, Iss. 12
Open Access | Times Cited: 71
From Quasiperiodic Partial Synchronization to Collective Chaos in Populations of Inhibitory Neurons with Delay
Diego Pazó, Ernest Montbrió
Physical Review Letters (2016) Vol. 116, Iss. 23
Open Access | Times Cited: 70
Network mechanisms underlying the role of oscillations in cognitive tasks
Helmut Schmidt, Daniele Avitabile, Ernest Montbrió, et al.
PLoS Computational Biology (2018) Vol. 14, Iss. 9, pp. e1006430-e1006430
Open Access | Times Cited: 70
Next-generation neural mass and field modeling
Áine Byrne, Reuben D. O’Dea, Michael Forrester, et al.
Journal of Neurophysiology (2019) Vol. 123, Iss. 2, pp. 726-742
Open Access | Times Cited: 68
Low-dimensional spike rate models derived from networks of adaptive integrate-and-fire neurons: Comparison and implementation
Moritz Augustin, Josef Ladenbauer, Fabian Baumann, et al.
PLoS Computational Biology (2017) Vol. 13, Iss. 6, pp. e1005545-e1005545
Open Access | Times Cited: 67
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