C.E. D’Attellis
Impact in
- Signal Processing top 10%
- Blind Source Separation Techniques
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
Papers in
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- Fault Detection and Control Systems 5
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- Neural Networks and Applications 6
- Co-authors
- Rafael García (4 shared papers)J. Ruzzante (5 shared papers)Martín Gómez (3 shared papers)Fernando C. Ortíz (1 shared paper)Vicente Costanza (3 shared papers)Osvaldo A. Rosso (1 shared paper)Pablo S. Rivadeneira (3 shared papers)S. Blanco (1 shared paper)
In The Last Decade
C.E. D’Attellis
51 papers receiving 506 citations
Peers
Comparison fields: 5 of 102
- Signal Processing 105
- Cognitive Neuroscience 145
- Virology 24
- Control and Systems Engineering 71
- Modeling and Simulation 12
Countries citing papers authored by C.E. D’Attellis
This map shows the geographic impact of C.E. D’Attellis'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 C.E. D’Attellis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C.E. D’Attellis more than expected).
Fields of papers citing papers by C.E. D’Attellis
This network shows the impact of papers produced by C.E. D’Attellis. 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 C.E. D’Attellis. The network helps show where C.E. D’Attellis may publish in the future.
Co-authors
The 25 scholars most cited alongside C.E. D’Attellis, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 62 | |
| 2 | 2010 | 55 | |
| 3 | 1997 | 47 | |
| 4 | 1996 | 41 | |
| 5 | WSEAS Transactions on Biology and Biomedicine | 2004 | 40 |
| 6 | 1995 | 27 | |
| 7 | 1991 | 22 | |
| 8 | 1998 | 18 | |
| 9 | 2005 | 15 | |
| 10 | 2009 | 15 | |
| 11 | 2005 | 14 | |
| 12 | 1999 | 11 | |
| 13 | 2004 | 11 | |
| 14 | 1999 | 10 | |
| 15 | 2012 | 9 | |
| 16 | 2018 | 9 | |
| 17 | 2005 | 8 | |
| 18 | 1997 | 8 | |
| 19 | 2010 | 7 | |
| 20 | 1996 | 7 |
About C.E. D’Attellis
C.E. D’Attellis is a scholar working on Control and Systems Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition, Economics and Econometrics and Signal Processing, having authored 52 papers that have together received 529 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (8 papers), Complex Systems and Time Series Analysis (8 papers), Heart Rate Variability and Autonomic Control (6 papers), Neural Networks and Applications (6 papers), EEG and Brain-Computer Interfaces (6 papers), Blind Source Separation Techniques (5 papers), Fault Detection and Control Systems (5 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (4 papers). The work is most often cited by research in Signal Processing (105 citations), Cognitive Neuroscience (145 citations), Virology (24 citations), Control and Systems Engineering (71 citations) and Modeling and Simulation (12 citations). C.E. D’Attellis has collaborated with scholars based in Argentina, Peru and Italy. Frequent co-authors include Rafael García, J. Ruzzante, Martín Gómez, Fernando C. Ortíz, Vicente Costanza, Osvaldo A. Rosso, Pablo S. Rivadeneira, S. Blanco, Nikos E. Mastorakis and L.G. Gamero. Their work appears in journals such as Mathematical and Computer Modelling, International Journal of Control, Biomedical Signal Processing and Control, Journal of Mathematical Analysis and Applications and Signal Processing.
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.