Publications

Following these icons (Google Scholar, Scopus, ORCID, and ResearchGate) you can find the automatically updated list of my publications. On the drop-down menus below, I arranged these publications according to the topics I describe in my research page.

Nonlinear dynamics and chaos

2024

Gancio, J., & Rubido, N. (2024). Lyapunov exponents and extensivity of strongly coupled chaotic maps in regular graphs. Chaos, Solitons & Fractals, 178, 114392.

2020

Gutiérrez, C., Cabeza, C., & Rubido, N. (2020). Observation of bifurcations and hysteresis in experimentally coupled logistic maps. In Indian Academy of Sciences Conference Series, Pramana J., 3, 21-30.

2019

Martí, A. C., & Rubido, N. (2019). Dynamics Days Latin America and the Caribbean 2018. Mathematical and Computational Applications, 24.

2016

L’Her, A., Amil, P., Rubido, N., Marti, A. C., & Cabeza, C. (2016). Electronically-implemented coupled logistic maps. The European Physical Journal B, 89(3), 81.

Networks and emergent phenomena

2025

Martínez, J. H., Lehnertz, K., & Rubido, N. (2025). Introduction to Focus Issue: Data-driven models and analysis of complex systems. Chaos: An Interdisciplinary Journal of Nonlinear Science, 35(3), 030401.

2022

Gouvêa, A. M., Rubido, N., Macau, E. E., & Quiles, M. G. (2022). Importance of Numerical Implementation and Clustering Analysis in Force-Directed Algorithms for Accurate Community Detection. Applied Mathematics and Computation, 431, 127310.
Gancio, J., & Rubido, N. (2022). Critical parameters of the synchronisation's stability for coupled maps in regular graphs. Chaos, Solitons & Fractals, 158, 112001.

2021

Gutiérrez, C., Gancio, J., Cabeza, C., & Rubido, N. (2021). Finding the resistance distance and eigenvector centrality from the network’s eigenvalues. Physica A: Statistical Mechanics and its Applications, 569, 125751.
Antonopoulos, C. G., Rubido, N., Batista, A. M., & Baptista, M. S. (2021). Advancing our understanding of structure and function in the brain: developing novel approaches for network inference and emergent phenomena. Frontiers in Physics, 8, 626093.
Gancio, J., & Rubido, N. (2021). Community detection by resistance distance: automation and benchmark testing. In International Conference on Complex Networks and Their Applications X. Studies in Computational Intelligence, 1072, 309-320. Springer, Cham.

2020

García, R. A., Martí, A. C., Cabeza, C., & Rubido, N. (2020). Small-worldness favours network inference in synthetic neural networks. Scientific Reports, 10(1), 2296.

2019

Margolis, A., López-Arredondo, A., García, S., Rubido, N., Caminada, C., González, D., & Tansini, L. (2019). Social learning in large online audiences of health professionals: Improving dialogue with automated tools. MedEdPublish, 8, 55.

2018

Rubido, N., & Masoller, C. (2018). Impact of lag information on network inference. The European Physical Journal Special Topics, 227, 1243-1250.

2016

Bianco-Martinez, E., Rubido, N., Antonopoulos, C. G., & Baptista, M. S. (2016). Successful network inference from time-series data using mutual information rate. Chaos: An Interdisciplinary Journal of Nonlinear Science, 26(4), 043102.
Quiles, M. G., Macau, E. E., & Rubido, N. (2016). Dynamical detection of network communities. Scientific Reports, 6(1), 25570.

2014

Rubido, N., Martí, A. C., Bianco-Martínez, E., Grebogi, C., Baptista, M. S., & Masoller, C. (2014). Exact detection of direct links in networks of interacting dynamical units. New Journal of Physics, 16(9), 093010.

Chronobiology and network neuroscience

2026

Rubido, N., Batziou, V., Fuad, M., & Vuksanovic, V. (2026). The classification of Alzheimer's disease and mild cognitive impairment improved by dynamic functional network analysis. Under review [available at: https://arxiv.org/abs/2505.03458v4]
Prado, P., Otero, M., ..., Rubido, N., ... & Ibáñez, A. (2026). Source-space EEG Alpha Activity Reveals Brain Age Gaps Due to Neurodegeneration and Disparity. Communications Biology, 9, 740.

2025

Coronel-Oliveros, C., Moguilner, S., …, Rubido, N., ... & Ibanez, A. (2025). Diversity-sensitive brain clocks linked to biophysical mechanisms in aging and dementia. Nature Mental Health, 3, 1214–1229.

2024

Anzibar Fialho, M., Martínez Barreiro, M., ..., Rubido, N., A. Kun, A., & Brum, J. (2024). Functional ultrasound and brain connectivity reveal central nervous system compromise in Trembler-J mice model of Charcot-Marie-Tooth disease. Scientific Reports, 14(1), 30073.
Moguilner, S., Baez, S., Hernandez, H., … Rubido, N., ... & Ibanez, A. (2024). Brain clocks capture diversity and disparities in aging and dementia across geographically diverse populations. Nature medicine, 30(12), 3646-3657.
Hernandez, H., Baez, S., … Rubido, N., ... & Ibanez, A. (2024). Brain health in diverse settings: How age, demographics and cognition shape brain function. Neuroimage, 295, 120636.
Pascovich, C., Serantes, D., ... Rubido, N., & Torterolo, P. (2024). Dorsal and median raphe neuronal firing dynamics characterized by nonlinear measures. PLoS Computational Biology, 20(5), e1012111.
Rubido, N., Riedel, G., & Vuksanović, V. (2024). Genetic basis of anatomical asymmetry and aberrant dynamic functional networks in Alzheimer’s disease. Brain Communications, 6(1), fcad320.

2023

González, J., Cavelli, M., Tort, A. B., Torterolo, P., & Rubido, N. (2023). Sleep disrupts complex spiking dynamics in the neocortex and hippocampus. PLoS ONE, 18(8), e0290146.
Martínez Barreiro, M., Vázquez Alberdi, L., ... Rubido, N., ... Damián, J.P., & Kun, A. (2023). In vivo ultrafast Doppler imaging combined with confocal microscopy and behavioral approaches to gain insight into the central expression of Peripheral Neuropathy in Trembler-J Mice. Biology, 12(10), 1324.

2022

Torterolo, P., Gonzalez, J., Castro-Zaballa, S., Cavelli, M., Mondino, A., Pascovich, C., Rubido, N., Murillo-Rodríguez, E., & Vanini, G. (2022). Polysomnography in humans and animal models: basic procedures and analysis. Ch 2, In Methodological Approaches for Sleep and Vigilance Research (pp. 17-32). Academic Press.
González, J., Mateos, D., Cavelli, M., Mondino, A., Pascovich, C., Torterolo, P., & Rubido, N. (2022). Low frequency oscillations drive EEG’s complexity changes during wakefulness and sleep. Neuroscience, 494, 1-11.
Anzibar Fialho, M., Vázquez Alberdi, L., ..., Rubido, N., Kun, A., & Brum, J. (2022). Intensity distribution segmentation in ultrafast Doppler combined with scanning laser confocal microscopy for assessing vascular changes associated with ageing in murine hippocampi. Scientific Reports, 12(1), 6784.

2021

González, J., Cavelli, M., Castro-Zaballa, S., Mondino, A., Tort, A. B., Rubido, N., Carrera, I., & Torterolo, P. (2021). EEG gamma band alterations and REM-like traits underpin the acute effect of the atypical psychedelic ibogaine in the rat. ACS Pharmacology & Translational Science, 4(2), 517-525.

2020

González, J., Cavelli, M., Mondino, A., Rubido, N., Tort, A. B., & Torterolo, P. (2020). Communication through coherence by means of cross-frequency coupling. Neuroscience, 449, 157-164.
Cavelli, M., Castro‐Zaballa, S., Gonzalez, J., Rojas‐Líbano, D., Rubido, N., Velásquez, N., & Torterolo, P. (2020). Nasal respiration entrains neocortical long‐range gamma coherence during wakefulness. European Journal of Neuroscience, 51(6), 1463-1477.
González, J., Cavelli, M., Mondino, A., Pascovich, C., Castro Zaballa, S., Rubido, N., & Torterolo, P. (2020). Electrocortical temporal complexity during wakefulness and sleep: an updated account. In Sleep Science conference 2020, 13, 47-50.

2019

González, J., Cavelli, M., Mondino, A., Pascovich, C., Castro-Zaballa, S., Torterolo, P., & Rubido, N. (2019). Decreased electrocortical temporal complexity distinguishes sleep from wakefulness. Scientific Reports, 9(1), 18457.

2015

Wang, C., Rubido, N., Grebogi, C., & Baptista, M. S. (2015). Approximate solution for frequency synchronization in a finite-size Kuramoto model. Physical Review E, 92(6), 062808.

2014

García, R. A., Rubido, N., Marti, A. C., & Cabeza, C. (2014). The role of intermediaries in the synchronization of pulse-coupled oscillators. The European Physical Journal Special Topics, 223(13), 2819-2829.

2011

Rubido, N., Cabeza, C., Kahan, S., Ramírez Ávila, G. M., & Marti, A. C. (2011). Synchronization regions of two pulse-coupled electronic piecewise linear oscillators. The European Physical Journal D, 62, 51-56.
Rubido, N., Cabeza, C., Ávila, G. R., & Martí, A. (2011). Scaling laws in the transient dynamics of firefly-like oscillators. In Journal of Physics: Conference Series, 285(1), 012026.

2009

Rubido, N., Cabeza, C., Martí, A. C., & Ramirez Avila, G. M. (2009). Experimental results on synchronization times and stable states in locally coupled light-controlled oscillators. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 367(1901), 3267-3280.

Signal processing and information theory

2025

Tyloo, M., González, J., & Rubido, N. (2025). Including the Magnitude Variability of a Signal in the Ordinal Pattern Analysis. Entropy, 27(8), 840.
Gutiérrez, C., Cabeza, C., & Rubido, N. (2025). Non-trivial generation and transmission of information in electronically designed logistic-map networks. Chaos: An Interdisciplinary Journal of Nonlinear Science, 35(3), 033151.

2018

Rubido, N., Grebogi, C., & Baptista, M. S. (2018). Entropy-based generating Markov partitions for complex systems. Chaos: An Interdisciplinary Journal of Nonlinear Science, 28(3), 033611.

2011

Rubido, N., Tiana-Alsina, J., Torrent, M. C., Garcia-Ojalvo, J., & Masoller, C. (2011). Language organization and temporal correlations in the spiking activity of an excitable laser: Experiments and model comparison. Physical Review E, 84(2), 026202.

Atmospheric physics and fluid instabilities

2023

Díaz, N., Barreiro, M., & Rubido, N. (2023). Data driven models of the Madden-Julian Oscillation: understanding its evolution and ENSO modulation. npj Climate and Atmospheric Science, 6(1), 203.

2022

Díaz, N., Barreiro, M., & Rubido, N. (2022). The distinct influence of two Madden–Julian trajectory classes on the South American dipole. Journal of Climate, 35(21), 7093-7107.

2020

Díaz, N., Barreiro, M., & Rubido, N. (2020). Intraseasonal predictions for the South American rainfall dipole. Geophysical Research Letters, 47(21), e2020GL089985.

2014

Cabeza, C., Rubido, N., & Martí, A. C. (2014). Learning physics in a water park. Physics Education, 49(2), 187.

Power grid stability and stochastic dynamics

2017

Rubido, N., Grebogi, C., & Baptista, M. S. (2017). General analytical solutions for DC/AC circuit network analysis. The European Physical Journal Special Topics, 226, 1829-1844.
Rubido, N., Grebogi, C., & Baptista, M. S. (2017). Interpreting physical flows in networks as a communication system. In Indian Academy of Sciences Conference Series, Pramana J., 1, 17-23.

2015

Rubido, N. (2015). Energy transmission and synchronization in complex networks: Mathematical principles. Springer Cham.

2014

Nardelli, P. H., Rubido, N., Wang, C., Baptista, M. S., Pomalaza-Raez, C., Cardieri, P., & Latva-aho, M. (2014). Models for the modern power grid. The European Physical Journal Special Topics, 223, 2423-2437.
Rubido, N., Grebogi, C., & Baptista, M. S. (2014). Resiliently evolving supply-demand networks. Physical Review E, 89(1), 012801.

2013

Aragoneses, A., Rubido, N., Tiana-Alsina, J., Torrent, M. C., & Masoller, C. (2013). Distinguishing signatures of determinism and stochasticity in spiking complex systems. Scientific Reports, 3(1), 1778.
Rubido, N., Grebogi, C., & Baptista, M. S. (2013). Structure and function in flow networks. Europhysics Letters, 101(6), 68001.

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