Fernanda S. Matias

437 total citations
24 papers, 270 citations indexed

About

Fernanda S. Matias is a scholar working on Cognitive Neuroscience, Computer Networks and Communications and Statistical and Nonlinear Physics. According to data from OpenAlex, Fernanda S. Matias has authored 24 papers receiving a total of 270 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cognitive Neuroscience, 11 papers in Computer Networks and Communications and 11 papers in Statistical and Nonlinear Physics. Recurrent topics in Fernanda S. Matias's work include Neural dynamics and brain function (20 papers), stochastic dynamics and bifurcation (11 papers) and Nonlinear Dynamics and Pattern Formation (11 papers). Fernanda S. Matias is often cited by papers focused on Neural dynamics and brain function (20 papers), stochastic dynamics and bifurcation (11 papers) and Nonlinear Dynamics and Pattern Formation (11 papers). Fernanda S. Matias collaborates with scholars based in Brazil, Spain and Australia. Fernanda S. Matias's co-authors include Cláudio R. Mirasso, Mauro Copelli, Pedro V. Carelli, Steven L. Bressler, Osvaldo A. Rosso, Leonardo L. Gollo, M. D. Coutinho-Filho, Fernando Montani, Tiago Pereira and Ana Alonso and has published in prestigious journals such as PLoS ONE, NeuroImage and Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences.

In The Last Decade

Fernanda S. Matias

21 papers receiving 262 citations

Peers

Fernanda S. Matias
Comparison fields: 5 of 42
  • Cognitive Neuroscience 206
  • Statistical and Nonlinear Physics 132
  • Computer Networks and Communications 106
  • Cellular and Molecular Neuroscience 63
  • Electrical and Electronic Engineering 39
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Citations per field, relative to Fernanda S. Matias
Fernanda S. Matias · 1×
Citations per year, relative to Fernanda S. Matias
Fernanda S. Matias · 1×

Countries citing papers authored by Fernanda S. Matias

Since Specialization
Citations

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

Fields of papers citing papers by Fernanda S. Matias

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fernanda S. Matias

This figure shows the co-authorship network connecting the top 25 collaborators of Fernanda S. Matias. A scholar is included among the top collaborators of Fernanda S. Matias 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 Fernanda S. Matias. Fernanda S. Matias 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
# Work Indexed citations
1 0
2 0
3 2
4 4
5 15
6 3
7 16
8 10
9 11
10 11
11 10
12 16
13 6
14 15
15 10
16 10
17 18
18 40
19 3
20 45

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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