Romis Attux

99 papers receiving 887 citations

Peers

Romis Attux
Comparison fields: 5 of 91
  • Signal Processing 231
  • Cognitive Neuroscience 289
  • Statistical and Nonlinear Physics 131
  • Artificial Intelligence 274
  • Cellular and Molecular Neuroscience 100
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J.C. Principe United States
Eduardo Mazoni Andrade Marçal Mendes Brazil
Mahmut Özer Türkiye
Chunbo Xiu China
Enzeng Dong China
A.A. Beex United States
Temujin Gautama Belgium
Vicente Alarcon‐Aquino Mexico
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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-authors

The 25 scholars most cited alongside Romis Attux, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Romis Attux Line = papers co-authored together Romis Attux links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 105 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201558
2 201248
3 201745
4
Unsupervised Signal Processing: Channel Equalization and Source Separation
201043
5 201142
6 201440
7 201138
8 201836
9 201935
10 202132
11 201128
12 201125
13 201825
14 201720
15 201617
16 201417
17 202014
18 201814
19 201114
20 201214

About Romis Attux

Romis Attux is a scholar working on Signal Processing, Artificial Intelligence, Cognitive Neuroscience, Electrical and Electronic Engineering and Statistical and Nonlinear Physics, having authored 105 papers that have together received 902 indexed citations. Recurring topics across this work include Blind Source Separation Techniques (37 papers), Neural Networks and Applications (20 papers), EEG and Brain-Computer Interfaces (20 papers), Advanced Memory and Neural Computing (14 papers), Neural dynamics and brain function (12 papers), Speech and Audio Processing (11 papers), Chaos control and synchronization (10 papers) and Neuroscience and Neural Engineering (9 papers). The work is most often cited by research in Signal Processing (231 citations), Cognitive Neuroscience (289 citations), Statistical and Nonlinear Physics (131 citations), Artificial Intelligence (274 citations) and Cellular and Molecular Neuroscience (100 citations). Romis Attux has collaborated with scholars based in Brazil, France and Spain. Frequent 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. Their work appears in journals such as Signal Processing, Communications in Nonlinear Science and Numerical Simulation, Biomedical Signal Processing and Control, Neurocomputing and Electronics Letters.

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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