Romis Attux

1.6k total citations
104 papers, 895 citations indexed

About

Romis Attux is a scholar working on Signal Processing, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Romis Attux has authored 104 papers receiving a total of 895 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Signal Processing, 30 papers in Artificial Intelligence and 26 papers in Cognitive Neuroscience. Recurrent topics in Romis Attux's work include Blind Source Separation Techniques (37 papers), Neural Networks and Applications (20 papers) and EEG and Brain-Computer Interfaces (20 papers). Romis Attux is often cited by papers focused on Blind Source Separation Techniques (37 papers), Neural Networks and Applications (20 papers) and EEG and Brain-Computer Interfaces (20 papers). Romis Attux collaborates with scholars based in Brazil, France and Spain. Romis Attux's co-authors include Levy Boccato, Ricardo Suyama, Diogo C. Soriano, Gabriela Castellano, Fernando J. Von Zuben, Hugo Valadares Siqueira, Christiano Lyra, João Marcos Travassos Romano, Charles C. Cavalcante and Leonardo Tomazeli Duarte and has published in prestigious journals such as IEEE Transactions on Signal Processing, Expert Systems with Applications and Neurocomputing.

In The Last Decade

Romis Attux

99 papers receiving 875 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Romis Attux Brazil 16 288 274 273 232 131 104 895
Eduardo Mazoni Andrade Marçal Mendes Brazil 19 162 0.6× 240 0.9× 86 0.3× 97 0.4× 321 2.5× 95 1.2k
J.C. Principe United States 10 174 0.6× 321 1.2× 109 0.4× 285 1.2× 84 0.6× 26 990
Chunbo Xiu China 14 125 0.4× 161 0.6× 227 0.8× 44 0.2× 155 1.2× 77 784
Temujin Gautama Belgium 12 198 0.7× 132 0.5× 66 0.2× 187 0.8× 116 0.9× 25 847
Dan Hammerstrom United States 14 101 0.4× 428 1.6× 485 1.8× 67 0.3× 21 0.2× 42 1.1k
Xiaopei Wu China 18 494 1.7× 64 0.2× 109 0.4× 182 0.8× 23 0.2× 86 920
Enzeng Dong China 17 333 1.2× 113 0.4× 205 0.8× 60 0.3× 431 3.3× 93 1.1k
A.A. Beex United States 14 156 0.5× 123 0.4× 147 0.5× 404 1.7× 27 0.2× 101 876
Kenneth E. Hild United States 20 553 1.9× 347 1.3× 108 0.4× 607 2.6× 49 0.4× 58 1.2k
Vicente Alarcon‐Aquino Mexico 15 107 0.4× 189 0.7× 115 0.4× 129 0.6× 21 0.2× 67 722

Countries citing papers authored by Romis Attux

Since Specialization
Citations

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

Fields of papers citing papers by Romis Attux

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Romis Attux

This figure shows the co-authorship network connecting the top 25 collaborators of Romis Attux. A scholar is included among the top collaborators of Romis Attux 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 Romis Attux. Romis Attux 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.
Boccato, Levy, et al.. (2023). A Frequency-Domain Approach with Learnable Filters for Image Classification. SSRN Electronic Journal. 1 indexed citations
2.
3.
Attux, Romis, et al.. (2022). FBDNN: filter banks and deep neural networks for portable and fast brain-computer interfaces. Biomedical Physics & Engineering Express. 8(3). 35018–35018. 8 indexed citations
4.
Attux, Romis, et al.. (2022). Analysis of Occupational Profiles in the Brazilian Workforce Based on Non-Negative Matrix Factorization. Big Data Research. 29. 100333–100333. 1 indexed citations
5.
6.
Attux, Romis, et al.. (2021). Motor imagery practice and feedback effects on functional connectivity. Journal of Neural Engineering. 18(6). 66048–66048. 6 indexed citations
7.
Boccato, Levy, et al.. (2021). Space-time filter for SSVEP brain-computer interface based on the minimum variance distortionless response. Medical & Biological Engineering & Computing. 59(5). 1133–1150. 3 indexed citations
8.
Attux, Romis, et al.. (2021). Cascade of Linear Predictors for Deconvolution of Non-Stationary Channels in Sparse and Antisparse Scenarios. Journal of Communication and Information Systems. 36(1). 90–99. 1 indexed citations
9.
Soriano, Diogo C., et al.. (2020). Channel capacity in brain–computer interfaces. Journal of Neural Engineering. 17(1). 16060–16060. 12 indexed citations
10.
Soriano, Diogo C., et al.. (2020). On the (in)efficacy of motor imagery training without feedback and event-related desynchronizations considerations. Biomedical Physics & Engineering Express. 6(3). 35030–35030. 5 indexed citations
11.
Soriano, Diogo C., et al.. (2019). A correntropy-based classifier for motor imagery brain-computer interfaces. Biomedical Physics & Engineering Express. 5(6). 65026–65026. 12 indexed citations
12.
Attux, Romis, et al.. (2019). Space-time recurrences for functional connectivity evaluation and feature extraction in motor imagery brain-computer interfaces. Medical & Biological Engineering & Computing. 57(8). 1709–1725. 33 indexed citations
13.
14.
Duarte, Leonardo Tomazeli, et al.. (2016). Blind Source Separation: Fundamentals and Perspectives on Galois Fields and Sparse Signals. Journal of Communication and Information Systems. 31(1). 177–187. 1 indexed citations
15.
Duarte, Leonardo Tomazeli, et al.. (2016). An Introduction to Information Theoretic Learning, Part II: Applications. Journal of Communication and Information Systems. 1 indexed citations
16.
Attux, Romis, et al.. (2015). Análise Comparativa de Classificadores em Interfaces Cérebro-Computador Baseadas em SSVEP. Anais do Congresso de Iniciação Científica da Unicamp. 1 indexed citations
17.
Silva, Rodrigo César da, et al.. (2014). Analysis of the Weighted Fuzzy C-means in the Problem of Source Location. The European Symposium on Artificial Neural Networks. 2 indexed citations
18.
Siqueira, Hugo Valadares, Levy Boccato, Romis Attux, & Christiano Lyra. (2012). Echo State Networks in Seasonal Streamflow Series Prediction. 10(3). 181–191. 14 indexed citations
19.
Duarte, Leonardo Tomazeli, Ricardo Suyama, Bertrand Rivet, et al.. (2012). Blind Compensation of Nonlinear Distortions: Application to Source Separation of Post-Nonlinear Mixtures. IEEE Transactions on Signal Processing. 60(11). 5832–5844. 13 indexed citations
20.
Duarte, Leonardo Tomazeli, Ricardo Suyama, Romis Attux, João Marcos Travassos Romano, & Christian Jutten. (2011). Blind extraction of sparse components based on &#x2113;<inf>0</inf>-norm minimization. 2 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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