Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Estimating the decomposition of predictive information in multivariate systems
Luca Faes, Dimitris Kugiumtzis, Giandomenico Nollo, et al.
Physical Review E (2015) Vol. 91, Iss. 3
Open Access | Times Cited: 87

Showing 1-25 of 87 citing articles:

Networks beyond pairwise interactions: Structure and dynamics
Federico Battiston, Giulia Cencetti, Iacopo Iacopini, et al.
Physics Reports (2020) Vol. 874, pp. 1-92
Open Access | Times Cited: 1127
Entropy measures, entropy estimators, and their performance in quantifying complex dynamics: Effects of artifacts, nonstationarity, and long-range correlations
Wanting Xiong, Luca Faes, Plamen Ch. Ivanov
Physical review. E (2017) Vol. 95, Iss. 6
Open Access | Times Cited: 173
Wiener–Granger Causality in Network Physiology With Applications to Cardiovascular Control and Neuroscience
Alberto Porta, Luca Faes
Proceedings of the IEEE (2015) Vol. 104, Iss. 2, pp. 282-309
Closed Access | Times Cited: 153
Information Decomposition in Bivariate Systems: Theory and Application to Cardiorespiratory Dynamics
Luca Faes, Alberto Porta, Giandomenico Nollo
Entropy (2015) Vol. 17, Iss. 1, pp. 277-303
Open Access | Times Cited: 126
Linear and non-linear brain–heart and brain–brain interactions during sleep
Luca Faes, Daniele Marinazzo, F. Jurysta, et al.
Physiological Measurement (2015) Vol. 36, Iss. 4, pp. 683-698
Closed Access | Times Cited: 98
Multiscale Information Decomposition: Exact Computation for Multivariate Gaussian Processes
Luca Faes, Daniele Marinazzo, Sebastiano Stramaglia
Entropy (2017) Vol. 19, Iss. 8, pp. 408-408
Open Access | Times Cited: 89
Information Decomposition in Multivariate Systems: Definitions, Implementation and Application to Cardiovascular Networks
Luca Faes, Alberto Porta, Giandomenico Nollo, et al.
Entropy (2016) Vol. 19, Iss. 1, pp. 5-5
Open Access | Times Cited: 83
Estimating Brain Connectivity With Varying-Length Time Lags Using a Recurrent Neural Network
Yueming Wang, Lin Kang, Yu Qi, et al.
IEEE Transactions on Biomedical Engineering (2018) Vol. 65, Iss. 9, pp. 1953-1963
Closed Access | Times Cited: 65
Quantifying information transfer and mediation along causal pathways in complex systems
Jakob Runge
Physical Review E (2015) Vol. 92, Iss. 6
Open Access | Times Cited: 64
Comparison of short-term heart rate variability indexes evaluated through electrocardiographic and continuous blood pressure monitoring
Riccardo Pernice, Michal Javorka, Jana Krohová, et al.
Medical & Biological Engineering & Computing (2019) Vol. 57, Iss. 6, pp. 1247-1263
Closed Access | Times Cited: 56
Are Nonlinear Model-Free Conditional Entropy Approaches for the Assessment of Cardiac Control Complexity Superior to the Linear Model-Based One?
Alberto Porta, Beatrice De Maria, Vlasta Bari, et al.
IEEE Transactions on Biomedical Engineering (2016) Vol. 64, Iss. 6, pp. 1287-1296
Closed Access | Times Cited: 57
Time, frequency, and time‐varying Granger‐causality measures in neuroscience
Sezen Cekic, Didier Grandjean, Olivier Renaud
Statistics in Medicine (2018) Vol. 37, Iss. 11, pp. 1910-1931
Open Access | Times Cited: 55
Synergy and Redundancy in Dual Decompositions of Mutual Information Gain and Information Loss
Daniel Chicharro, Stefano Panzeri
Entropy (2017) Vol. 19, Iss. 2, pp. 71-71
Open Access | Times Cited: 48
Comparison of methods for the assessment of nonlinearity in short-term heart rate variability under different physiopathological states
Luca Faes, Manuel Gómez-Extremera, Riccardo Pernice, et al.
Chaos An Interdisciplinary Journal of Nonlinear Science (2019) Vol. 29, Iss. 12
Open Access | Times Cited: 44
Multivariate Correlation Measures Reveal Structure and Strength of Brain–Body Physiological Networks at Rest and During Mental Stress
Riccardo Pernice, Yuri Antonacci, Matteo Zanetti, et al.
Frontiers in Neuroscience (2021) Vol. 14
Open Access | Times Cited: 37
ENTROPY ANALYSIS OF UNIVARIATE BIOMEDICAL SIGNALS: REVIEW AND COMPARISON OF METHODS
Hamed Azami, Luca Faes, Javier Escudero, et al.
Contemporary mathematics and its applications (2022), pp. 233-286
Open Access | Times Cited: 22
Response inhibition in premotor cortex corresponds to a complex reshuffle of the mesoscopic information network
Giampiero Bardella, Valentina Giuffrida, Franco Giarrocco, et al.
Network Neuroscience (2024) Vol. 8, Iss. 2, pp. 597-622
Open Access | Times Cited: 5
Information storage and transfer in autoregulated cascades
Ayan Biswas
Journal of Statistical Mechanics Theory and Experiment (2025) Vol. 2025, Iss. 2, pp. 023501-023501
Closed Access
Estimating the Mutual Information Rate of Short Time Series from Coupled Dynamic Systems
Hélder Pinto, Yuri Antonacci, Chiara Barà, et al.
(2025)
Closed Access
Synergetic and Redundant Information Flow Detected by Unnormalized Granger Causality: Application to Resting State fMRI
Sebastiano Stramaglia, Leonardo Angelini, Guo‐Rong Wu, et al.
IEEE Transactions on Biomedical Engineering (2016) Vol. 63, Iss. 12, pp. 2518-2524
Open Access | Times Cited: 44
Atypical transistor-based chaotic oscillators: Design, realization, and diversity
Ludovico Minati, Mattia Frasca, Paweł Oświȩcimka, et al.
Chaos An Interdisciplinary Journal of Nonlinear Science (2017) Vol. 27, Iss. 7
Closed Access | Times Cited: 44
Basic cardiovascular variability signals: mutual directed interactions explored in the information domain
Michal Javorka, Jana Krohová, Barbora Czippelová, et al.
Physiological Measurement (2017) Vol. 38, Iss. 5, pp. 877-894
Closed Access | Times Cited: 43
Predictability decomposition detects the impairment of brain–heart dynamical networks during sleep disorders and their recovery with treatment
Luca Faes, Daniele Marinazzo, Sebastiano Stramaglia, et al.
Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (2016) Vol. 374, Iss. 2067, pp. 20150177-20150177
Open Access | Times Cited: 38
An Information-Theoretic Framework to Measure the Dynamic Interaction Between Neural Spike Trains
Gorana Mijatović, Yuri Antonacci, Tatjana Lončar-Turukalo, et al.
IEEE Transactions on Biomedical Engineering (2021) Vol. 68, Iss. 12, pp. 3471-3481
Open Access | Times Cited: 30
Capturing time-varying brain dynamics
Klaus Lehnertz, Christian Geier, Thorsten Rings, et al.
EPJ Nonlinear Biomedical Physics (2017) Vol. 5, pp. 2-2
Open Access | Times Cited: 37
Page 1 - Next Page

Scroll to top