Leonardo G. Brunnet

547 total citations
35 papers, 396 citations indexed

About

Leonardo G. Brunnet is a scholar working on Condensed Matter Physics, Statistical and Nonlinear Physics and Computer Networks and Communications. According to data from OpenAlex, Leonardo G. Brunnet has authored 35 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Condensed Matter Physics, 12 papers in Statistical and Nonlinear Physics and 11 papers in Computer Networks and Communications. Recurrent topics in Leonardo G. Brunnet's work include Nonlinear Dynamics and Pattern Formation (11 papers), Neural dynamics and brain function (9 papers) and Micro and Nano Robotics (8 papers). Leonardo G. Brunnet is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (11 papers), Neural dynamics and brain function (9 papers) and Micro and Nano Robotics (8 papers). Leonardo G. Brunnet collaborates with scholars based in Brazil, France and Chile. Leonardo G. Brunnet's co-authors include Hugues Chaté, Rita M. C. de Almeida, Gilberto L. Thomas, Julio M. Belmonte, Paul Manneville, Everton J. Agnes, Silvia De Monte, José Cláudio Fonseca Moreira, Rodrigo Juliani Siqueira Dalmolin and Mauro A. A. Castro and has published in prestigious journals such as Physical Review Letters, Nucleic Acids Research and PLoS ONE.

In The Last Decade

Leonardo G. Brunnet

33 papers receiving 383 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Leonardo G. Brunnet Brazil 11 163 146 99 97 74 35 396
Luis Dinís Spain 14 454 2.8× 82 0.6× 42 0.4× 80 0.8× 60 0.8× 26 749
Heike Schuster United States 7 106 0.7× 260 1.8× 61 0.6× 84 0.9× 60 0.8× 9 436
Itai Pinkoviezky Israel 10 62 0.4× 62 0.4× 45 0.5× 138 1.4× 54 0.7× 12 408
Jan Frederik Totz Germany 9 117 0.7× 229 1.6× 91 0.9× 90 0.9× 130 1.8× 16 407
Martin Gerhardt United States 6 106 0.7× 260 1.8× 61 0.6× 84 0.9× 60 0.8× 7 422
Mark M. Millonas United States 15 577 3.5× 245 1.7× 95 1.0× 63 0.6× 70 0.9× 20 819
A.-J. Koch Switzerland 6 89 0.5× 245 1.7× 24 0.2× 57 0.6× 87 1.2× 8 604
Philip Bittihn Germany 15 131 0.8× 204 1.4× 77 0.8× 36 0.4× 150 2.0× 29 1.1k
Daishin Ueyama Japan 11 116 0.7× 215 1.5× 14 0.1× 76 0.8× 74 1.0× 23 451
Atsuko Takamatsu Japan 13 95 0.6× 177 1.2× 48 0.5× 56 0.6× 367 5.0× 35 791

Countries citing papers authored by Leonardo G. Brunnet

Since Specialization
Citations

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

Fields of papers citing papers by Leonardo G. Brunnet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leonardo G. Brunnet. 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 Leonardo G. Brunnet. The network helps show where Leonardo G. Brunnet may publish in the future.

Co-authorship network of co-authors of Leonardo G. Brunnet

This figure shows the co-authorship network connecting the top 25 collaborators of Leonardo G. Brunnet. A scholar is included among the top collaborators of Leonardo G. Brunnet 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 Leonardo G. Brunnet. Leonardo G. Brunnet 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.
Brunnet, Leonardo G., et al.. (2025). Segregation in Binary Mixture with Differential Contraction among Active Rings. Physical Review Letters. 134(13). 138401–138401. 1 indexed citations
2.
Henkes, Silke, et al.. (2023). Comparing individual-based models of collective cell motion in a benchmark flow geometry. Soft Matter. 19(29). 5583–5601. 4 indexed citations
3.
Brunnet, Leonardo G., et al.. (2022). Heterogeneous individual motility biases group composition in a model of aggregating cells. Frontiers in Ecology and Evolution. 10. 4 indexed citations
4.
Brunnet, Leonardo G., et al.. (2021). A single active ring model with velocity self-alignment. Soft Matter. 17(24). 5991–6000. 9 indexed citations
5.
Almeida, Rita M. C. de, et al.. (2017). Mean-cluster approach indicates cell sorting time scales are determined by collective dynamics. Physical review. E. 95(3). 32402–32402. 14 indexed citations
6.
Ferreira, Ricardo Melo, Rita M. C. de Almeida, & Leonardo G. Brunnet. (2016). Analytic solutions for links and triangles distributions in finite Barabási–Albert networks. Physica A Statistical Mechanics and its Applications. 466. 105–110. 4 indexed citations
7.
Brunnet, Leonardo G., et al.. (2014). Differential Adhesion between Moving Particles as a Mechanism for the Evolution of Social Groups. PLoS Computational Biology. 10(2). e1003482–e1003482. 19 indexed citations
8.
Ferreira, Ricardo Melo, José Luiz Rybarczyk-Filho, Rodrigo Juliani Siqueira Dalmolin, et al.. (2013). Preferential Duplication of Intermodular Hub Genes: An Evolutionary Signature in Eukaryotes Genome Networks. PLoS ONE. 8(2). e56579–e56579. 10 indexed citations
9.
Agnes, Everton J., et al.. (2011). Model architecture for associative memory in a neural network of spiking neurons. Physica A Statistical Mechanics and its Applications. 391(3). 843–848. 9 indexed citations
10.
Brunnet, Leonardo G., et al.. (2011). Cell sorting based on motility differences. PubMed. 84(3). 31927–31927. 24 indexed citations
11.
Calovi, Daniel S., Leonardo G. Brunnet, & Rita M. C. de Almeida. (2010). cAMP diffusion inDictyostelium discoideum: A Green’s function method. Physical Review E. 82(1). 11909–11909. 6 indexed citations
12.
Rybarczyk-Filho, José Luiz, Mauro A. A. Castro, Rodrigo Juliani Siqueira Dalmolin, et al.. (2010). Towards a genome-wide transcriptogram: the Saccharomyces cerevisiae case. Nucleic Acids Research. 39(8). 3005–3016. 16 indexed citations
13.
Agnes, Everton J., et al.. (2009). Synchronization regimes in a map-based model neural network. Physica A Statistical Mechanics and its Applications. 389(3). 651–658. 13 indexed citations
14.
Belmonte, Julio M., Gilberto L. Thomas, Leonardo G. Brunnet, Rita M. C. de Almeida, & Hugues Chaté. (2008). Self-Propelled Particle Model for Cell-Sorting Phenomena. Physical Review Letters. 100(24). 248702–248702. 92 indexed citations
15.
Brunnet, Leonardo G., et al.. (2008). Multistability in networks of Hindmarsh-Rose neurons. Physical Review E. 78(6). 61917–61917. 55 indexed citations
16.
Brunnet, Leonardo G., et al.. (2006). Periodicity and chaos in electrically coupled Hindmarsh-Rose neurons. Physical Review E. 74(6). 61906–61906. 13 indexed citations
17.
Brunnet, Leonardo G. & Hugues Chaté. (2004). Cellular automata on high-dimensional hypercubes. Physical Review E. 69(5). 57201–57201. 2 indexed citations
18.
Brunnet, Leonardo G., et al.. (1999). Coupling of low-frequency modes with the complex Ginzburg-Landau equation: Generalized Zakharov equations. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 60(6). 6566–6570. 4 indexed citations
19.
Brunnet, Leonardo G. & Sebastián Gonçalves. (1997). Cellular automaton block model of traffic in a city. Physica A Statistical Mechanics and its Applications. 237(1-2). 59–66. 8 indexed citations
20.
Caetano, Tibério S., et al.. (1996). Nonmonotonic maps and related bifurcations in laser accelerators. Chaos Solitons & Fractals. 7(2). 165–175. 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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