A. Figliola
Impact in
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- Chaos control and synchronization
- Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
Papers in
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- Chaos control and synchronization 12
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- Complex Systems and Time Series Analysis 18
- Co-authors
- Osvaldo Anibal Rosso (23 shared papers)Susana Blanco (6 shared papers)Eduardo Serrano (12 shared papers)Erol Başar (2 shared papers)Martin Schürmann (2 shared papers)Vasil Kolev (2 shared papers)Juliana Yordanova (2 shared papers)Luciano Zunino (4 shared papers)
In The Last Decade
A. Figliola
36 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 118
- Statistical and Nonlinear Physics 455
- Cognitive Neuroscience 582
- Economics and Econometrics 690
- Finance 234
- Signal Processing 243
Countries citing papers authored by A. Figliola
This map shows the geographic impact of A. Figliola'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 A. Figliola with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Figliola more than expected).
Fields of papers citing papers by A. Figliola
This network shows the impact of papers produced by A. Figliola. 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 A. Figliola. The network helps show where A. Figliola may publish in the future.
Co-authors
The 25 scholars most cited alongside A. Figliola, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 688 | |
| 2 | 2008 | 269 | |
| 3 | 1998 | 186 | |
| 4 | 2006 | 174 | |
| 5 | 2008 | 96 | |
| 6 | 2009 | 90 | |
| 7 | 2010 | 72 | |
| 8 | 2007 | 60 | |
| 9 | 1997 | 48 | |
| 10 | 2004 | 32 | |
| 11 | 2007 | 19 | |
| 12 | 2007 | 19 | |
| 13 | 1997 | 15 | |
| 14 | 2014 | 14 | |
| 15 | 2010 | 13 | |
| 16 | 2009 | 13 | |
| 17 | Signal separation with almost periodic components: a wavelets based method | 2004 | 12 |
| 18 | Order/disorder in brain electrical activity | 2004 | 12 |
| 19 | 2011 | 11 | |
| 20 | 2002 | 10 |
About A. Figliola
A. Figliola is a scholar working on Statistical and Nonlinear Physics, Economics and Econometrics, Cognitive Neuroscience, Signal Processing and Computer Vision and Pattern Recognition, having authored 38 papers that have together received 1.9k indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (18 papers), Chaos control and synchronization (12 papers), Fractal and DNA sequence analysis (9 papers), Neural dynamics and brain function (8 papers), EEG and Brain-Computer Interfaces (7 papers), Image and Signal Denoising Methods (5 papers), Neural Networks and Applications (4 papers) and Nonlinear Dynamics and Pattern Formation (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (455 citations), Cognitive Neuroscience (582 citations), Economics and Econometrics (690 citations), Finance (234 citations) and Signal Processing (243 citations). A. Figliola has collaborated with scholars based in Argentina, Australia and Germany. Frequent co-authors include Osvaldo Anibal Rosso, Susana Blanco, Eduardo Serrano, Erol Başar, Martin Schürmann, Vasil Kolev, Juliana Yordanova, Luciano Zunino, M. Garavaglia and Darı́o G. Pérez. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, Chaos Solitons & Fractals, Optics Communications, Quality & Quantity and International Journal of Bifurcation and Chaos.
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.