S. R. Lopes

2.9k total citations
148 papers, 2.1k citations indexed

About

S. R. Lopes is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Cognitive Neuroscience. According to data from OpenAlex, S. R. Lopes has authored 148 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 111 papers in Statistical and Nonlinear Physics, 78 papers in Computer Networks and Communications and 47 papers in Cognitive Neuroscience. Recurrent topics in S. R. Lopes's work include Nonlinear Dynamics and Pattern Formation (78 papers), Chaos control and synchronization (54 papers) and Neural dynamics and brain function (46 papers). S. R. Lopes is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (78 papers), Chaos control and synchronization (54 papers) and Neural dynamics and brain function (46 papers). S. R. Lopes collaborates with scholars based in Brazil, Germany and United States. S. R. Lopes's co-authors include Ricardo L. Viana, Antônio M. Batista, Thiago de Lima Prado, C. A. S. Batista, Jürgen Kurths, B. R. R. Boaretto, Roberto C. Budzinski, José D. Szezech, Sandro Ely de Souza Pinto and Iberê L. Caldas and has published in prestigious journals such as Physical Review Letters, PLoS ONE and Scientific Reports.

In The Last Decade

S. R. Lopes

143 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. R. Lopes Brazil 25 1.4k 1.1k 811 169 159 148 2.1k
Ricardo L. Viana Brazil 32 2.6k 1.8× 1.7k 1.6× 837 1.0× 165 1.0× 210 1.3× 279 3.9k
Antônio M. Batista Brazil 23 1.2k 0.9× 1.1k 1.0× 867 1.1× 213 1.3× 124 0.8× 147 1.9k
Paul So United States 20 1.0k 0.7× 939 0.8× 767 0.9× 171 1.0× 116 0.7× 35 1.8k
Juan A. Acebrón Spain 13 1.1k 0.8× 2.1k 1.9× 826 1.0× 113 0.7× 214 1.3× 42 2.9k
Oreste Piro Spain 27 1.0k 0.7× 740 0.7× 349 0.4× 79 0.5× 328 2.1× 96 2.4k
H.D.I. Abarbanel United States 14 603 0.4× 424 0.4× 397 0.5× 129 0.8× 78 0.5× 23 1.2k
Renato Mirollo United States 20 1.5k 1.1× 3.0k 2.7× 1.1k 1.4× 231 1.4× 263 1.7× 31 3.6k
C. J. Pérez Vicente Spain 12 1.0k 0.7× 2.0k 1.8× 826 1.0× 109 0.6× 204 1.3× 18 2.6k
Ying-Cheng Lai United States 35 2.4k 1.7× 1.8k 1.6× 286 0.4× 48 0.3× 157 1.0× 83 3.2k
Murilo S. Baptista United Kingdom 26 1.4k 1.0× 901 0.8× 408 0.5× 84 0.5× 234 1.5× 116 2.5k

Countries citing papers authored by S. R. Lopes

Since Specialization
Citations

This map shows the geographic impact of S. R. Lopes'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 S. R. Lopes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. R. Lopes more than expected).

Fields of papers citing papers by S. R. Lopes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. R. Lopes. 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 S. R. Lopes. The network helps show where S. R. Lopes may publish in the future.

Co-authorship network of co-authors of S. R. Lopes

This figure shows the co-authorship network connecting the top 25 collaborators of S. R. Lopes. A scholar is included among the top collaborators of S. R. Lopes 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 S. R. Lopes. S. R. Lopes 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.
Prado, Thiago de Lima, et al.. (2025). RecurrenceMicrostatesAnalysis.jl: A Julia library for analyzing dynamical systems with recurrence microstates. Chaos An Interdisciplinary Journal of Nonlinear Science. 35(11).
2.
Prado, Thiago de Lima, et al.. (2024). Beat frequency induced transitions in synchronization dynamics. Communications in Nonlinear Science and Numerical Simulation. 138. 108243–108243. 1 indexed citations
3.
Lopes, S. R., et al.. (2024). Analytical results in calculating the entropy of recurrence microstates. Physica A Statistical Mechanics and its Applications. 638. 129629–129629. 1 indexed citations
4.
Lopes, S. R., et al.. (2024). Anti-CASPR2 antibody-associated syndrome presenting with episodic ataxia. Parkinsonism & Related Disorders. 122. 106773–106773. 1 indexed citations
5.
Budzinski, Roberto C., B. R. R. Boaretto, Thiago de Lima Prado, & S. R. Lopes. (2019). Phase synchronization and intermittent behavior in healthy and Alzheimer-affected human-brain-based neural network. Physical review. E. 99(2). 22402–22402. 13 indexed citations
6.
Boaretto, B. R. R., Roberto C. Budzinski, Thiago de Lima Prado, Jürgen Kurths, & S. R. Lopes. (2019). Protocol for suppression of phase synchronization in Hodgkin–Huxley-type networks. Physica A Statistical Mechanics and its Applications. 528. 121388–121388. 3 indexed citations
7.
Boaretto, B. R. R., Roberto C. Budzinski, Thiago de Lima Prado, Jürgen Kurths, & S. R. Lopes. (2017). Suppression of anomalous synchronization and nonstationary behavior of neural network under small-world topology. Physica A Statistical Mechanics and its Applications. 497. 126–138. 16 indexed citations
8.
Szezech, José D., et al.. (2015). Recurrence quantification analysis of chimera states. Physics Letters A. 379(37). 2188–2192. 30 indexed citations
9.
Viana, Ricardo L., et al.. (2014). Pattern formation and Turing instability in an activator–inhibitor system with power-law coupling. Physica A Statistical Mechanics and its Applications. 419. 487–497. 10 indexed citations
10.
Batista, C. A. S., Ricardo L. Viana, S. R. Lopes, & Antônio M. Batista. (2014). Dynamic range in small-world networks of Hodgkin–Huxley neurons with chemical synapses. Physica A Statistical Mechanics and its Applications. 410. 628–640. 12 indexed citations
11.
Viana, Ricardo L., et al.. (2014). Control of extreme events in the bubbling onset of wave turbulence. Physical Review E. 89(4). 40901–40901. 15 indexed citations
12.
Borges, Fernando S., Kelly C. Iarosz, Hai‐Peng Ren, et al.. (2013). Model for tumour growth with treatment by continuous and pulsed chemotherapy. Biosystems. 116. 43–48. 46 indexed citations
13.
Lopes, S. R., et al.. (2012). Anomalous transport induced by nonhyperbolicity. Physical Review E. 86(1). 16216–16216. 7 indexed citations
14.
Pinto, Sandro Ely de Souza, et al.. (2010). Synchronization time in a hyperbolic dynamical system with long-range interactions. Physica A Statistical Mechanics and its Applications. 389(22). 5279–5286. 2 indexed citations
15.
Lopes, S. R., et al.. (2009). Riddling and chaotic synchronization of coupled piecewise-linear Lorenz maps. Physica A Statistical Mechanics and its Applications. 388(12). 2515–2525. 4 indexed citations
16.
Szezech, José D., S. R. Lopes, & Ricardo L. Viana. (2007). Onset of spatiotemporal chaos in a nonlinear system. Physical Review E. 75(6). 67202–67202. 6 indexed citations
17.
Batista, C. A. S., et al.. (2007). Chaotic phase synchronization in scale-free networks of bursting neurons. Physical Review E. 76(1). 16218–16218. 117 indexed citations
18.
Caldas, Iberê L., Antônio M. Batista, Ricardo L. Viana, et al.. (2006). Turbulence Induced Transport in Tokamaks. AIP conference proceedings. 875. 341–346. 2 indexed citations
19.
Dohmen, Pascal M., et al.. (2005). Immunological and echocardiographic evaluation of decellularized versus cryopreserved allografts during the Ross operation. European Journal of Cardio-Thoracic Surgery. 27(4). 572–578. 72 indexed citations
20.
Reimão, Rubens, et al.. (1994). Obstructive sleep apnea treatment with dental appliance. Arquivos de Neuro-Psiquiatria. 52(4). 560–565. 3 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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