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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:

Exploring the network dynamics underlying brain activity during rest
Joana Cabral, Morten L. Kringelbach, Gustavo Deco
Progress in Neurobiology (2014) Vol. 114, pp. 102-131
Open Access | Times Cited: 339

Showing 1-25 of 339 citing articles:

Pleasure Systems in the Brain
Kent Berridge, Morten L. Kringelbach
Neuron (2015) Vol. 86, Iss. 3, pp. 646-664
Open Access | Times Cited: 1466
Dynamic models of large-scale brain activity
Michael Breakspear
Nature Neuroscience (2017) Vol. 20, Iss. 3, pp. 340-352
Closed Access | Times Cited: 1029
EEG microstates as a tool for studying the temporal dynamics of whole-brain neuronal networks: A review
Christoph M. Michel, Thomas Koenig
NeuroImage (2017) Vol. 180, pp. 577-593
Open Access | Times Cited: 938
Nociception, Pain, Negative Moods, and Behavior Selection
Marwan N. Baliki, A. Vania Apkarian
Neuron (2015) Vol. 87, Iss. 3, pp. 474-491
Open Access | Times Cited: 615
Rethinking segregation and integration: contributions of whole-brain modelling
Gustavo Deco, Giulio Tononi, Mélanie Boly, et al.
Nature reviews. Neuroscience (2015) Vol. 16, Iss. 7, pp. 430-439
Open Access | Times Cited: 600
The Kuramoto model in complex networks
Francisco A. Rodrigues, Thomas Peron, Peng Ji, et al.
Physics Reports (2015) Vol. 610, pp. 1-98
Open Access | Times Cited: 539
The dynamics of resting fluctuations in the brain: metastability and its dynamical cortical core
Gustavo Deco, Morten L. Kringelbach, Viktor Jirsa, et al.
Scientific Reports (2017) Vol. 7, Iss. 1
Open Access | Times Cited: 474
Great Expectations: Using Whole-Brain Computational Connectomics for Understanding Neuropsychiatric Disorders
Gustavo Deco, Morten L. Kringelbach
Neuron (2014) Vol. 84, Iss. 5, pp. 892-905
Open Access | Times Cited: 405
Functional connectivity dynamically evolves on multiple time-scales over a static structural connectome: Models and mechanisms
Joana Cabral, Morten L. Kringelbach, Gustavo Deco
NeuroImage (2017) Vol. 160, pp. 84-96
Open Access | Times Cited: 370
Stability in Test-Usage Practices of Clinical Neuropsychologists in the United States and Canada Over a 10-Year Period: A Follow-Up Survey of INS and NAN Members
Laura A. Rabin, Emily W. Paolillo, William Barr
Archives of Clinical Neuropsychology (2016) Vol. 31, Iss. 3, pp. 206-230
Open Access | Times Cited: 363
Cognitive performance in healthy older adults relates to spontaneous switching between states of functional connectivity during rest
Joana Cabral, Diego Vidaurre, Paulo Marques, et al.
Scientific Reports (2017) Vol. 7, Iss. 1
Open Access | Times Cited: 341
Mathematical framework for large-scale brain network modeling in The Virtual Brain
Paula Sanz‐Leon, S. A. Knock, Andreas Spiegler, et al.
NeuroImage (2015) Vol. 111, pp. 385-430
Open Access | Times Cited: 334
On Cuteness: Unlocking the Parental Brain and Beyond
Morten L. Kringelbach, Eloise Stark, Catherine Alexander, et al.
Trends in Cognitive Sciences (2016) Vol. 20, Iss. 7, pp. 545-558
Open Access | Times Cited: 279
Coherence a measure of the brain networks: past and present
Susan M. Bowyer
Neuropsychiatric Electrophysiology (2016) Vol. 2, Iss. 1
Open Access | Times Cited: 274
Metastability and Coherence: Extending the Communication through Coherence Hypothesis Using A Whole-Brain Computational Perspective
Gustavo Deco, Morten L. Kringelbach
Trends in Neurosciences (2016) Vol. 39, Iss. 3, pp. 125-135
Closed Access | Times Cited: 230
Geometric constraints on human brain function
James C. Pang, Kevin Aquino, Marianne Oldehinkel, et al.
Nature (2023) Vol. 618, Iss. 7965, pp. 566-574
Open Access | Times Cited: 225
Assessing dynamic brain graphs of time-varying connectivity in fMRI data: Application to healthy controls and patients with schizophrenia
Qingbao Yu, Erik B. Erhardt, Jing Sui, et al.
NeuroImage (2014) Vol. 107, pp. 345-355
Open Access | Times Cited: 218
Whole-Brain Multimodal Neuroimaging Model Using Serotonin Receptor Maps Explains Non-linear Functional Effects of LSD
Gustavo Deco, Josephine Cruzat, Joana Cabral, et al.
Current Biology (2018) Vol. 28, Iss. 19, pp. 3065-3074.e6
Open Access | Times Cited: 201
Dynamical exploration of the repertoire of brain networks at rest is modulated by psilocybin
Louis-David Lord, Paul Expert, Selen Atasoy, et al.
NeuroImage (2019) Vol. 199, pp. 127-142
Open Access | Times Cited: 200
Single or multiple frequency generators in on-going brain activity: A mechanistic whole-brain model of empirical MEG data
Gustavo Deco, Joana Cabral, Mark W. Woolrich, et al.
NeuroImage (2017) Vol. 152, pp. 538-550
Open Access | Times Cited: 193
The brain interstitial system: Anatomy, modeling, in vivo measurement, and applications
Yiming Lei, Hongbin Han, Fan Yuan, et al.
Progress in Neurobiology (2016) Vol. 157, pp. 230-246
Open Access | Times Cited: 184
Is the self a higher-order or fundamental function of the brain? The “basis model of self-specificity” and its encoding by the brain’s spontaneous activity
Georg Northoff
Cognitive Neuroscience (2015) Vol. 7, Iss. 1-4, pp. 203-222
Closed Access | Times Cited: 183
The human connectome in Alzheimer disease — relationship to biomarkers and genetics
Meichen Yu, Olaf Sporns, Andrew J. Saykin
Nature Reviews Neurology (2021) Vol. 17, Iss. 9, pp. 545-563
Open Access | Times Cited: 172
The Affective Core of Emotion: Linking Pleasure, Subjective Well-Being, and Optimal Metastability in the Brain
Morten L. Kringelbach, Kent Berridge
Emotion Review (2017) Vol. 9, Iss. 3, pp. 191-199
Open Access | Times Cited: 171
Receptor-informed network control theory links LSD and psilocybin to a flattening of the brain’s control energy landscape
S. Parker Singleton, Andrea I. Luppi, Robin Carhart‐Harris, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 94
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