Nicolás Rubido

944 total citations
46 papers, 444 citations indexed

About

Nicolás Rubido is a scholar working on Cognitive Neuroscience, Computer Networks and Communications and Statistical and Nonlinear Physics. According to data from OpenAlex, Nicolás Rubido has authored 46 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cognitive Neuroscience, 15 papers in Computer Networks and Communications and 13 papers in Statistical and Nonlinear Physics. Recurrent topics in Nicolás Rubido's work include Nonlinear Dynamics and Pattern Formation (15 papers), Neural dynamics and brain function (15 papers) and Complex Network Analysis Techniques (7 papers). Nicolás Rubido is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (15 papers), Neural dynamics and brain function (15 papers) and Complex Network Analysis Techniques (7 papers). Nicolás Rubido collaborates with scholars based in Uruguay, United Kingdom and Spain. Nicolás Rubido's co-authors include Murilo S. Baptista, Celso Grebogi, Joaqúın González, Matías Cavelli, Pablo Torterolo, Cristina Masoller, Arturo C. Martı́, Paulo Cardieri, Pedro H. J. Nardelli and Chengwei Wang and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Climate.

In The Last Decade

Nicolás Rubido

41 papers receiving 428 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nicolás Rubido Uruguay 12 160 146 115 69 59 46 444
Takaaki Aoki Japan 11 151 0.9× 142 1.0× 168 1.5× 37 0.5× 37 0.6× 43 411
А. А. Овчинников Russia 7 251 1.6× 70 0.5× 81 0.7× 27 0.4× 68 1.2× 14 406
Fang Han China 13 273 1.7× 205 1.4× 120 1.0× 75 1.1× 129 2.2× 46 440
Ilya V. Sysoev Russia 13 337 2.1× 237 1.6× 160 1.4× 43 0.6× 164 2.8× 84 542
Maksim О. Zhuravlev Russia 13 391 2.4× 125 0.9× 109 0.9× 58 0.8× 55 0.9× 81 560
V. V. Makarov Russia 12 355 2.2× 69 0.5× 63 0.5× 80 1.2× 79 1.3× 59 674
Takashi Kanamaru Japan 11 194 1.2× 228 1.6× 150 1.3× 39 0.6× 45 0.8× 33 349
O. Calvo Spain 14 144 0.9× 321 2.2× 295 2.6× 50 0.7× 30 0.5× 42 606
Oliver Obst Australia 11 172 1.1× 98 0.7× 60 0.5× 114 1.7× 14 0.2× 36 474
Nigel Stepp United States 11 399 2.5× 68 0.5× 44 0.4× 42 0.6× 33 0.6× 19 506

Countries citing papers authored by Nicolás Rubido

Since Specialization
Citations

This map shows the geographic impact of Nicolás Rubido's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Nicolás Rubido with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicolás Rubido more than expected).

Fields of papers citing papers by Nicolás Rubido

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicolás Rubido. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Nicolás Rubido. The network helps show where Nicolás Rubido may publish in the future.

Co-authorship network of co-authors of Nicolás Rubido

This figure shows the co-authorship network connecting the top 25 collaborators of Nicolás Rubido. A scholar is included among the top collaborators of Nicolás Rubido based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nicolás Rubido. Nicolás Rubido is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Cabeza, Cécilia, et al.. (2025). Non-trivial generation and transmission of information in electronically designed logistic-map networks. Chaos An Interdisciplinary Journal of Nonlinear Science. 35(3).
2.
Mateos, Diego M., Joaqúın González, Diego Gallo, et al.. (2024). Dorsal and median raphe neuronal firing dynamics characterized by nonlinear measures. PLoS Computational Biology. 20(5). e1012111–e1012111.
3.
Damián, Juan Pablo, Jérôme Baranger, Mickaël Tanter, et al.. (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). 30073–30073.
4.
Rubido, Nicolás & Vesna Vuksanović. (2023). Dynamic functional brain networks in Alzheimer’s disease and healthy ageing. Alzheimer s & Dementia. 19(S3). 1 indexed citations
5.
Rubido, Nicolás, Gernot Riedel, & Vesna Vuksanović. (2023). Genetic basis of anatomical asymmetry and aberrant dynamic functional networks in Alzheimer’s disease. Brain Communications. 6(1). fcad320–fcad320. 3 indexed citations
6.
Rubido, Nicolás, et al.. (2023). Lyapunov exponents and extensivity of strongly coupled chaotic maps in regular graphs. Chaos Solitons & Fractals. 178. 114392–114392. 2 indexed citations
7.
8.
González, Joaqúın, Matías Cavelli, Adriano B. L. Tort, Pablo Torterolo, & Nicolás Rubido. (2023). Sleep disrupts complex spiking dynamics in the neocortex and hippocampus. PLoS ONE. 18(8). e0290146–e0290146. 5 indexed citations
9.
Barreiro, Marcelo, et al.. (2023). Data driven models of the Madden-Julian Oscillation: understanding its evolution and ENSO modulation. npj Climate and Atmospheric Science. 6(1). 3 indexed citations
10.
Calero, Miguel, Jérôme Baranger, Mickaël Tanter, et al.. (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). 6784–6784. 4 indexed citations
11.
González, Joaqúın, Diego M. Mateos, Matías Cavelli, et al.. (2022). Low frequency oscillations drive EEG’s complexity changes during wakefulness and sleep. Neuroscience. 494. 1–11. 15 indexed citations
12.
Cabeza, Cécilia, et al.. (2021). Finding the resistance distance and eigenvector centrality from the network’s eigenvalues. Physica A Statistical Mechanics and its Applications. 569. 125751–125751. 4 indexed citations
13.
Barreiro, Marcelo, et al.. (2020). Intraseasonal Predictions for the South American Rainfall Dipole. Geophysical Research Letters. 47(21). 5 indexed citations
14.
Martı́, Arturo C., et al.. (2020). Small-worldness favours network inference in synthetic neural networks. Scientific Reports. 10(1). 2296–2296. 3 indexed citations
15.
Cavelli, Matías, Santiago Castro‐Zaballa, Joaqúın González, et al.. (2019). Nasal respiration entrains neocortical long‐range gamma coherence during wakefulness. European Journal of Neuroscience. 51(6). 1463–1477. 29 indexed citations
16.
González, Joaqúın, Matías Cavelli, Alejandra Mondino, et al.. (2019). Decreased electrocortical temporal complexity distinguishes sleep from wakefulness. Scientific Reports. 9(1). 18457–18457. 34 indexed citations
17.
Quiles, Marcos G., Elbert E. N. Macau, & Nicolás Rubido. (2016). Dynamical detection of network communities. Scientific Reports. 6(1). 25570–25570. 15 indexed citations
18.
Wang, Chengwei, Nicolás Rubido, Celso Grebogi, & Murilo S. Baptista. (2015). Approximate solution for frequency synchronization in a finite-size Kuramoto model. Physical Review E. 92(6). 62808–62808. 1 indexed citations
19.
Rubido, Nicolás, Celso Grebogi, & Murilo S. Baptista. (2014). Resiliently evolving supply-demand networks. Physical Review E. 89(1). 12801–12801. 14 indexed citations
20.
Rubido, Nicolás, et al.. (2010). Synchronization regions of two pulse-coupled electronic piecewise linear oscillators. The European Physical Journal D. 62(1). 51–56. 7 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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