Mauro Copelli

4.6k total citations · 2 hit papers
84 papers, 2.9k citations indexed

About

Mauro Copelli is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics and Computer Networks and Communications. According to data from OpenAlex, Mauro Copelli has authored 84 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Cognitive Neuroscience, 36 papers in Statistical and Nonlinear Physics and 27 papers in Computer Networks and Communications. Recurrent topics in Mauro Copelli's work include Neural dynamics and brain function (49 papers), stochastic dynamics and bifurcation (31 papers) and Nonlinear Dynamics and Pattern Formation (27 papers). Mauro Copelli is often cited by papers focused on Neural dynamics and brain function (49 papers), stochastic dynamics and bifurcation (31 papers) and Nonlinear Dynamics and Pattern Formation (27 papers). Mauro Copelli collaborates with scholars based in Brazil, Spain and United States. Mauro Copelli's co-authors include Osame Kinouchi, Sidarta Ribeiro, Natália Bezerra Mota, Guillermo Cecchi, Mariano Sigman, Pedro V. Carelli, Facundo Carrillo, Diego Fernández Slezak, Gillinder Bedi and Daniel C. Javitt and has published in prestigious journals such as Physical Review Letters, PLoS ONE and NeuroImage.

In The Last Decade

Mauro Copelli

82 papers receiving 2.8k citations

Hit Papers

Optimal dynamical range of excitable networks at criticality 2006 2026 2012 2019 2006 2015 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mauro Copelli Brazil 25 1.8k 800 475 418 394 84 2.9k
Guillermo Cecchi United States 36 2.7k 1.5× 661 0.8× 868 1.8× 744 1.8× 801 2.0× 171 5.8k
Klaus Linkenkaer‐Hansen Netherlands 35 4.8k 2.7× 441 0.6× 249 0.5× 271 0.6× 611 1.6× 73 5.6k
Michael Wibral Germany 41 5.2k 2.9× 495 0.6× 480 1.0× 308 0.7× 503 1.3× 97 6.9k
Adam B. Barrett United Kingdom 27 2.6k 1.4× 353 0.4× 361 0.8× 1.0k 2.5× 763 1.9× 46 4.5k
John R. Terry United Kingdom 35 2.1k 1.2× 703 0.9× 130 0.3× 408 1.0× 107 0.3× 97 4.3k
Joydeep Bhattacharya United Kingdom 37 3.5k 2.0× 369 0.5× 392 0.8× 152 0.4× 1.2k 3.1× 134 4.9k
Sophie Achard France 19 5.6k 3.1× 377 0.5× 196 0.4× 510 1.2× 1.1k 2.9× 70 6.6k
Richard F. Betzel United States 38 5.9k 3.3× 424 0.5× 215 0.5× 329 0.8× 1.2k 3.1× 90 6.7k
Petra E. Vértes United Kingdom 33 3.5k 2.0× 311 0.4× 154 0.3× 427 1.0× 741 1.9× 62 5.0k
Walter Freeman United States 45 4.1k 2.3× 684 0.9× 996 2.1× 197 0.5× 231 0.6× 186 6.3k

Countries citing papers authored by Mauro Copelli

Since Specialization
Citations

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

Fields of papers citing papers by Mauro Copelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mauro Copelli. 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 Mauro Copelli. The network helps show where Mauro Copelli may publish in the future.

Co-authorship network of co-authors of Mauro Copelli

This figure shows the co-authorship network connecting the top 25 collaborators of Mauro Copelli. A scholar is included among the top collaborators of Mauro Copelli 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 Mauro Copelli. Mauro Copelli 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.
Vasconcelos, Nivaldo A. P. de, et al.. (2025). Criticality at Work: Scaling in the Mouse Cortex Enhances Performance. 3(3).
2.
Copelli, Mauro, et al.. (2024). Maximum-entropy-based metrics for quantifying critical dynamics in spiking neuron data. Physical review. E. 110(2). 24401–24401. 1 indexed citations
3.
Rodrigues, Cilene, et al.. (2023). Grammatical impairment in schizophrenia: An exploratory study of the pronominal and sentential domains. PLoS ONE. 18(9). e0291446–e0291446. 4 indexed citations
4.
Marin, Bóris, et al.. (2023). Unconventional criticality, scaling breakdown, and diverse universality classes in the Wilson-Cowan model of neural dynamics. Physical review. E. 108(3). 34110–34110. 1 indexed citations
5.
Rosso, Osvaldo A., et al.. (2021). Statistical complexity is maximized close to criticality in cortical dynamics. Physical review. E. 103(1). 12415–12415. 15 indexed citations
6.
Mota, Natália Bezerra, Janaína Weissheimer, Guillermo Cecchi, et al.. (2020). Dreaming during the Covid-19 pandemic: Computational assessment of dream reports reveals mental suffering related to fear of contagion. PLoS ONE. 15(11). e0242903–e0242903. 46 indexed citations
7.
Vasconcelos, Nivaldo A. P. de, Carina Soares‐Cunha, Bárbara Coimbra, et al.. (2020). Signatures of brain criticality unveiled by maximum entropy analysis across cortical states. Physical review. E. 102(1). 12408–12408. 9 indexed citations
8.
Mota, Natália Bezerra, Mariano Sigman, Diego Fernández Slezak, et al.. (2020). The History of Writing Reflects the Effects of Education on Discourse Structure: Implications for Literacy, Orality, Psychosis and the Axial Age. Trends in Neuroscience and Education. 21. 100142–100142. 3 indexed citations
9.
Porta, Leonardo Dalla & Mauro Copelli. (2019). Modeling neuronal avalanches and long-range temporal correlations at the emergence of collective oscillations: Continuously varying exponents mimic M/EEG results. PLoS Computational Biology. 15(4). e1006924–e1006924. 42 indexed citations
10.
Santos, Fernando A. N., Ernesto P. Raposo, M. D. Coutinho-Filho, et al.. (2019). Topological phase transitions in functional brain networks. Physical review. E. 100(3). 32414–32414. 49 indexed citations
11.
Mota, Natália Bezerra, et al.. (2018). Post-class naps boost declarative learning in a naturalistic school setting. npj Science of Learning. 3(1). 14–14. 19 indexed citations
12.
Mota, Natália Bezerra, Mauro Copelli, & Sidarta Ribeiro. (2017). Thought disorder measured as random speech structure classifies negative symptoms and schizophrenia diagnosis 6 months in advance. Schizophrenia. 3(1). 18–18. 110 indexed citations
13.
Ribeiro, Tiago L., Sidarta Ribeiro, & Mauro Copelli. (2016). Repertoires of Spike Avalanches Are Modulated by Behavior and Novelty. Frontiers in Neural Circuits. 10. 16–16. 12 indexed citations
14.
Mota, Natália Bezerra, et al.. (2014). Graph analysis of dream reports is especially informative about psychosis. Scientific Reports. 4(1). 3691–3691. 92 indexed citations
15.
Matias, Fernanda S., Leonardo L. Gollo, Pedro V. Carelli, et al.. (2014). Modeling positive Granger causality and negative phase lag between cortical areas. NeuroImage. 99. 411–418. 40 indexed citations
16.
Copelli, Mauro, et al.. (2013). Synaptic Symmetry Increases Coherence in a Pair of Excitable Electronic Neurons. PLoS ONE. 8(12). e82051–e82051. 2 indexed citations
17.
Mota, Natália Bezerra, Nivaldo A. P. de Vasconcelos, Osame Kinouchi, et al.. (2012). Speech Graphs Provide a Quantitative Measure of Thought Disorder in Psychosis. PLoS ONE. 7(4). e34928–e34928. 165 indexed citations
18.
Ribeiro, Tiago L. & Mauro Copelli. (2008). Deterministic excitable media under Poisson drive: Power law responses, spiral waves, and dynamic range. Physical Review E. 77(5). 51911–51911. 17 indexed citations
19.
Kinouchi, Osame & Mauro Copelli. (2006). Physics of Psychophysics: Dynamic Range of Excitable Networks is Optimized at Criticality. arXiv (Cornell University). 1 indexed citations
20.
Copelli, Mauro. (1997). Noise robustness in the perceptron.. The European Symposium on Artificial Neural Networks. 1 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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