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:

Hybrid Scheme for Modeling Local Field Potentials from Point-Neuron Networks
Espen Hagen, David Dahmen, Maria Stavrinou, et al.
Cerebral Cortex (2016) Vol. 26, Iss. 12, pp. 4461-4496
Open Access | Times Cited: 95

Showing 1-25 of 95 citing articles:

Neurophysiological dynamics of phrase-structure building during sentence processing
Matthew J. Nelson, Imen El Karoui, Kristóf Giber, et al.
Proceedings of the National Academy of Sciences (2017) Vol. 114, Iss. 18
Open Access | Times Cited: 301

The Scientific Case for Brain Simulations
Gaute T. Einevoll, Alain Destexhe, Markus Diesmann, et al.
Neuron (2019) Vol. 102, Iss. 4, pp. 735-744
Open Access | Times Cited: 178

A neurophysiological basis for aperiodic EEG and the background spectral trend
Niklas Brake, Flavie Duc, Alexander Rokos, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 26

Multimodal Modeling of Neural Network Activity: Computing LFP, ECoG, EEG, and MEG Signals With LFPy 2.0
Espen Hagen, Solveig Næss, Torbjørn V. Ness, et al.
Frontiers in Neuroinformatics (2018) Vol. 12
Open Access | Times Cited: 130

Local field potentials primarily reflect inhibitory neuron activity in human and monkey cortex
Bartosz Teleńczuk, Nima Dehghani, Michel Le Van Quyen, et al.
Scientific Reports (2017) Vol. 7, Iss. 1
Open Access | Times Cited: 102

CoreNEURON : An Optimized Compute Engine for the NEURON Simulator
Pramod Kumbhar, Michael L. Hines, Jeremy Fouriaux, et al.
Frontiers in Neuroinformatics (2019) Vol. 13
Open Access | Times Cited: 89

Genetic evidence for role of integration of fast and slow neurotransmission in schizophrenia
Anna Devor, Ole A. Andreassen, Y Wang, et al.
Molecular Psychiatry (2017) Vol. 22, Iss. 6, pp. 792-801
Open Access | Times Cited: 88

Uncovering circuit mechanisms of current sinks and sources with biophysical simulations of primary visual cortex
Atle E. Rimehaug, A. Stasik, Espen Hagen, et al.
eLife (2023) Vol. 12
Open Access | Times Cited: 27

BioNet: A Python interface to NEURON for modeling large-scale networks
Sergey L. Gratiy, Yazan N. Billeh, Kael Dai, et al.
PLoS ONE (2018) Vol. 13, Iss. 8, pp. e0201630-e0201630
Open Access | Times Cited: 68

An architectonic type principle integrates macroscopic cortico-cortical connections with intrinsic cortical circuits of the primate brain
Claus C. Hilgetag, Sarah F. Beul, Sacha J. van Albada, et al.
Network Neuroscience (2019) Vol. 3, Iss. 4, pp. 905-923
Open Access | Times Cited: 60

Biophysically detailed forward modeling of the neural origin of EEG and MEG signals
Solveig Næss, Geir Halnes, Espen Hagen, et al.
NeuroImage (2020) Vol. 225, pp. 117467-117467
Open Access | Times Cited: 57

The roadmap for estimation of cell-type-specific neuronal activity from non-invasive measurements
Hana Uhlířová, Kıvılcım Kılıç, Peifang Tian, et al.
Philosophical Transactions of the Royal Society B Biological Sciences (2016) Vol. 371, Iss. 1705, pp. 20150356-20150356
Open Access | Times Cited: 48

Neuronal connected burst cascades bridge macroscale adaptive signatures across arousal states
Brandon R. Munn, Eli J. Müller, Vicente Medel, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 14

Synaptic patterning and the timescales of cortical dynamics
Renato Duarte, Alexander Seeholzer, Karl Zilles, et al.
Current Opinion in Neurobiology (2017) Vol. 43, pp. 156-165
Open Access | Times Cited: 46

h-Type Membrane Current Shapes the Local Field Potential from Populations of Pyramidal Neurons
Torbjørn V. Ness, Michiel W. H. Remme, Gaute T. Einevoll
Journal of Neuroscience (2018) Vol. 38, Iss. 26, pp. 6011-6024
Open Access | Times Cited: 46

Dissecting the Synapse- and Frequency-Dependent Network Mechanisms of In Vivo Hippocampal Sharp Wave-Ripples
Juan F. Ramírez-Villegas, Konstantin F. Willeke, Nikos K. Logothetis, et al.
Neuron (2018) Vol. 100, Iss. 5, pp. 1224-1240.e13
Open Access | Times Cited: 43

Mind the last spike — firing rate models for mesoscopic populations of spiking neurons
Tilo Schwalger, Anton V. Chizhov
Current Opinion in Neurobiology (2019) Vol. 58, pp. 155-166
Open Access | Times Cited: 42

Computation of the electroencephalogram (EEG) from network models of point neurons
Pablo Martínez‐Cañada, Torbjørn V. Ness, Gaute T. Einevoll, et al.
PLoS Computational Biology (2021) Vol. 17, Iss. 4, pp. e1008893-e1008893
Open Access | Times Cited: 31

Bringing Anatomical Information into Neuronal Network Models
Sacha J. van Albada, Aitor Morales-Gregorio, Timo Dickscheid, et al.
Advances in experimental medicine and biology (2021), pp. 201-234
Open Access | Times Cited: 29

Active Dendrites and Local Field Potentials: Biophysical Mechanisms and Computational Explorations
Manisha Sinha, Rishikesh Narayanan
Neuroscience (2021) Vol. 489, pp. 111-142
Open Access | Times Cited: 28

Mean-field based framework for forward modeling of LFP and MEG signals
Federico Tesler, Núria Tort‐Colet, Damien Depannemaecker, et al.
Frontiers in Computational Neuroscience (2022) Vol. 16
Open Access | Times Cited: 20

Reconciliation of weak pairwise spike–train correlations and highly coherent local field potentials across space
Johanna Senk, Espen Hagen, Sacha J. van Albada, et al.
Cerebral Cortex (2024) Vol. 34, Iss. 10
Open Access | Times Cited: 4

On the validity of electric brain signal predictions based on population firing rates
Torbjørn V. Ness, Tom Tetzlaff, Gaute T. Einevoll, et al.
PLoS Computational Biology (2025) Vol. 21, Iss. 4, pp. e1012303-e1012303
Open Access

Spatiotemporal network coding of physiological mossy fiber inputs by the cerebellar granular layer
Shyam Kumar Sudhakar, Sungho Hong, Ivan Raikov, et al.
PLoS Computational Biology (2017) Vol. 13, Iss. 9, pp. e1005754-e1005754
Open Access | Times Cited: 38

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