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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:

Estimating the interaction graph of stochastic neural dynamics
Aline Duarte, Antonio Galves, Eva Löcherbach, et al.
Bernoulli (2018) Vol. 25, Iss. 1
Open Access | Times Cited: 22

Showing 22 citing articles:

Non-parametric estimation of the spiking rate in systems of interacting neurons
Pierre Hodara, Nathalie Krell, Eva Löcherbach
Statistical Inference for Stochastic Processes (2016) Vol. 21, Iss. 1, pp. 81-111
Open Access | Times Cited: 13
Fast consensus and metastability in a highly polarized social network
Antonio Galves, Kádmo de S. Laxa
Stochastic Processes and their Applications (2024) Vol. 177, pp. 104459-104459
Open Access | Times Cited: 1
Nonparametric drift estimation for diffusions with jumps driven by a Hawkes process
Charlotte Dion, Sarah Lemler
Statistical Inference for Stochastic Processes (2020) Vol. 23, Iss. 3, pp. 489-515
Open Access | Times Cited: 10
Sparse space–time models: Concentration inequalities and Lasso
Guilherme Ost, Patricia Reynaud-Bouret
Annales de l Institut Henri Poincaré Probabilités et Statistiques (2020) Vol. 56, Iss. 4
Open Access | Times Cited: 8
Spiking neurons : interacting Hawkes processes, mean field limits and oscillations
Eva Löcherbach
ESAIM Proceedings and Surveys (2017) Vol. 60, pp. 90-103
Open Access | Times Cited: 6
Estimating the interaction graph of stochastic neuronal dynamics by observing only pairs of neurons
Emilio De Santis, Antonio Galves, Giovanna Nappo, et al.
Stochastic Processes and their Applications (2022) Vol. 149, pp. 224-247
Open Access | Times Cited: 4
Metastability in a Stochastic System of Spiking Neurons with Leakage
Kádmo de S. Laxa
Journal of Statistical Physics (2022) Vol. 190, Iss. 2
Open Access | Times Cited: 3
Towards a mathematical definition of functional connectivity
Patricia Reynaud-Bouret, Alexandre Muzy, Ingrid Bethus
Comptes Rendus Mathématique (2021) Vol. 359, Iss. 4, pp. 481-492
Open Access | Times Cited: 4
Estimation and model selection for graphical models under mixing conditions
Magno Tairone de Freitas Severino
(2024)
Open Access
Statistical Estimation of the Interaction Graph
Antonio Galves, Eva Löcherbach, Christophe Pouzat
Lecture notes on mathematical modelling in the life sciences (2024), pp. 77-95
Closed Access
Model selection for Markov random fields on graphs under a mixing condition
Florencia Leonardi, Magno T. F. Severino
Stochastic Processes and their Applications (2024) Vol. 180, pp. 104523-104523
Open Access
Structure recovery for partially observed discrete Markov random fields on graphs under not necessarily positive distributions
Florencia Leonardi, Rodrigo Carvalho, Iara Moreira Frondana
Scandinavian Journal of Statistics (2023) Vol. 51, Iss. 1, pp. 64-88
Open Access | Times Cited: 1
Local theorems for (multidimensional) additive functionals of semi-Markov chains
A. V. Logachov, Анатолий Альфредович Могульский, E. I. Prokopenko, et al.
Stochastic Processes and their Applications (2021) Vol. 137, pp. 149-166
Closed Access | Times Cited: 3
Neuronal network inference and membrane potential model using multivariate Hawkes processes
Anna Bonnet, Charlotte Dion‐Blanc, François Gindraud, et al.
Journal of Neuroscience Methods (2022) Vol. 372, pp. 109550-109550
Open Access | Times Cited: 2
Neuronal Network Inference and Membrane Potential Model using Multivariate Hawkes Processes
Anna Bonnet, Charlotte Dion, François Gindraud, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 1
Estimation of neuronal interaction graph from spike train data
Ludmila Brochini, Antonio Galves, Pierre Hodara, et al.
arXiv (Cornell University) (2016)
Open Access
Stability of Piecewise Deterministic Markovian Metapopulation Processes on Networks
Pierre Montagnon
arXiv (Cornell University) (2017)
Closed Access
Regularity of the Invariant Measure and Non‐parametric Estimation of the Jump Rate
Pierre Hodara, Nathalie Krell, Eva Löcherbach
(2018), pp. 39-63
Closed Access
Strong structure recovery for partially observed discrete Markov random fields on graphs
Iara Moreira Frondana, Rodrigo R. S. Carvalho, Florencia Leonardi
arXiv (Cornell University) (2019)
Closed Access
Limit theorems for chains with unbounded variable length memory which satisfy Cramer condition
A. V. Logachov, A. A. Mogulskiĭ, Anatoly Yambartsev
ESAIM Probability and Statistics (2022) Vol. 26, pp. 152-170
Open Access
Metastability in systems of interacting point processes with memory of variable length modeling social and neuronal networks
Kádmo de Souza Laxa
(2022)
Open Access
Scalability of large neural network simulations via activity tracking with time asynchrony and procedural connectivity
Cyrille Mascart, Gilles Scarella, Patricia Reynaud-Bouret, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access
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