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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:

Reconstructing networks of pulse-coupled oscillators from spike trains
Rok Cestnik, Michael G. Rosenblum
Physical review. E (2017) Vol. 96, Iss. 1
Open Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

Statistical inference links data and theory in network science
Leto Peel, Tiago P. Peixoto, Manlio De Domenico
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 56
Inferring the phase response curve from observation of a continuously perturbed oscillator
Rok Cestnik, Michael G. Rosenblum
Scientific Reports (2018) Vol. 8, Iss. 1
Open Access | Times Cited: 60
Estimating Transfer Entropy in Continuous Time Between Neural Spike Trains or Other Event-Based Data
David Shorten, Richard E. Spinney, Joseph T. Lizier
PLoS Computational Biology (2021) Vol. 17, Iss. 4, pp. e1008054-e1008054
Open Access | Times Cited: 42
Setting of the Poincaré section for accurately calculating the phase of rhythmic spatiotemporal dynamics
Takahiro Arai, Yoji Kawamura, Toshio Aoyagi
Physical review. E (2025) Vol. 111, Iss. 1
Open Access
Interaction mechanisms quantified from dynamical features of frog choruses
Kaiichiro Ota, Ikkyu Aihara, Toshio Aoyagi
Royal Society Open Science (2020) Vol. 7, Iss. 3, pp. 191693-191693
Open Access | Times Cited: 27
Optimal Phase-Selective Entrainment of Heterogeneous Oscillator Ensembles
Bharat Singhal, István Z. Kiss, Jr-Shin Li
SIAM Journal on Applied Dynamical Systems (2023) Vol. 22, Iss. 3, pp. 2180-2205
Closed Access | Times Cited: 8
Reconstruction of a random phase dynamics network from observations
Arkady Pikovsky
Physics Letters A (2017) Vol. 382, Iss. 4, pp. 147-152
Open Access | Times Cited: 25
Inferring Network Connectivity from Event Timing Patterns
Jose Casadiego, Dimitra Maoutsa, Marc Timme
Physical Review Letters (2018) Vol. 121, Iss. 5
Open Access | Times Cited: 24
Reconstruction of dynamic networks with time-delayed interactions in the presence of fast-varying noises
Zhaoyang Zhang, Chen Yang, Yuanyuan Mi, et al.
Physical review. E (2019) Vol. 99, Iss. 4
Closed Access | Times Cited: 16
Inferring connectivity of an oscillatory network via the phase dynamics reconstruction
Michael G. Rosenblum, Arkady Pikovsky
Frontiers in Network Physiology (2023) Vol. 3
Open Access | Times Cited: 5
Reconstructing dynamical networks via feature ranking
Marc G. Leguia, Zoran Levnajić, Ljupčo Todorovski, et al.
Chaos An Interdisciplinary Journal of Nonlinear Science (2019) Vol. 29, Iss. 9
Open Access | Times Cited: 15
Model reconstruction from temporal data for coupled oscillator networks
Mark J. Panaggio, Maria-Veronica Ciocanel, Lauren Lazarus, et al.
Chaos An Interdisciplinary Journal of Nonlinear Science (2019) Vol. 29, Iss. 10
Open Access | Times Cited: 14
Inferring directed networks using a rank-based connectivity measure
Marc G. Leguia, Cristina González Martínez, Irene Malvestio, et al.
Physical review. E (2019) Vol. 99, Iss. 1
Open Access | Times Cited: 13
Network reconstruction from binary-state time series in presence of time delay and hidden nodes
Yuhao Zhang, Huaxun Li, Zhaoyang Zhang, et al.
Chinese Journal of Physics (2020) Vol. 67, pp. 203-211
Closed Access | Times Cited: 9
Robustness and versatility of a nonlinear interdependence method for directional coupling detection from spike trains
Irene Malvestio, Thomas Kreuz, Ralph G. Andrzejak
Physical review. E (2017) Vol. 96, Iss. 2
Open Access | Times Cited: 8
Functional network stability and average minimal distance – A framework to rapidly assess dynamics of functional network representations
Jiaxing Wu, Quinton M. Skilling, Daniel Maruyama, et al.
Journal of Neuroscience Methods (2017) Vol. 296, pp. 69-83
Open Access | Times Cited: 8
A practical method for estimating coupling functions in complex dynamical systems
Isao T. Tokuda, Zoran Levnajić, Kazuyoshi Ishimura
Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (2019) Vol. 377, Iss. 2160, pp. 20190015-20190015
Open Access | Times Cited: 7
Reconstruction of coupling structure in network of neuron-like oscillators based on a phase-locked loop
Marina V. Sysoeva, Ilya V. Sysoev, М. Д. Прохоров, et al.
Chaos Solitons & Fractals (2020) Vol. 142, pp. 110513-110513
Closed Access | Times Cited: 7
Impact of local network characteristics on network reconstruction
Gloria Cecchini, Rok Cestnik, Arkady Pikovsky
Physical review. E (2021) Vol. 103, Iss. 2
Open Access | Times Cited: 6
Decoupling approximation robustly reconstructs directed dynamical networks
Nikola Simidjievski, Jovan Tanevski, Bernard Ženko, et al.
New Journal of Physics (2018) Vol. 20, Iss. 11, pp. 113003-113003
Open Access | Times Cited: 6
Inferring the connectivity of coupled chaotic oscillators using Kalman filtering
Edwar Forero-Ortiz, Giulio Tirabassi, Cristina Masoller, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 6
Reconstruction of sparse recurrent connectivity and inputs from the nonlinear dynamics of neuronal networks
Victor J. Barranca
Journal of Computational Neuroscience (2022) Vol. 51, Iss. 1, pp. 43-58
Closed Access | Times Cited: 4
Impact of lag information on network inference
Nicolás Rubido, Cristina Masoller
The European Physical Journal Special Topics (2018) Vol. 227, Iss. 10-11, pp. 1243-1250
Open Access | Times Cited: 5
Recovering sparse networks: Basis adaptation and stability under extensions
Marcel Novaes, Edmilson Roque dos Santos, Tiago Pereira
Physica D Nonlinear Phenomena (2021) Vol. 424, pp. 132895-132895
Open Access | Times Cited: 5
From data to network structure——Reconstruction of dynamic networks
Zhaoyang Zhang, Yang Chen, Yuanyuan Mi, et al.
Zhongguo kexue. Wulixue Lixue Tianwenxue (2019) Vol. 50, Iss. 1, pp. 010502-010502
Open Access | Times Cited: 4
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