R.A. Casas
Impact in
- Signal Processing top 1%
- Blind Source Separation Techniques
- Speech and Audio Processing
- Computational Mechanics top 5%
- Advanced Adaptive Filtering Techniques
Papers in
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- Blind Source Separation Techniques 12
-
- Advanced Adaptive Filtering Techniques 9
- Co-authors
- Philip Schniter (4 shared papers)T.J. Endres (3 shared papers)Donald R. Brown (1 shared paper)Roger D. Johnson (1 shared paper)C.R. Johnson (12 shared papers)Raffaello D’Andrea (1 shared paper)Francis C. Moon (1 shared paper)C.A. Jacobson (2 shared papers)
- Journals
- Automatica (1 paper)Nonlinear Dynamics (1 paper)IEEE Transactions on Broadcasting (1 paper)Proceedings of the IEEE (1 paper)Applied Artificial Intelligence (1 paper)
- Partner nations
- United StatesAustraliaJordan
In The Last Decade
R.A. Casas
22 papers receiving 787 citations
R.A. Casas's Hit Papers
Peers
Comparison fields: 5 of 53
- Signal Processing 543
- Computational Mechanics 317
- Computer Networks and Communications 163
- Electrical and Electronic Engineering 408
- Artificial Intelligence 157
Countries citing papers authored by R.A. Casas
This map shows the geographic impact of R.A. Casas'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 R.A. Casas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R.A. Casas more than expected).
Fields of papers citing papers by R.A. Casas
This network shows the impact of papers produced by R.A. Casas. 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 R.A. Casas. The network helps show where R.A. Casas may publish in the future.
Co-authors
The 23 scholars most cited alongside R.A. Casas, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Blind equalization using the constant modulus criterion: a review Hit paper breakdown → | 1998 | 577 |
| 2 | 2002 | 81 | |
| 3 | 1998 | 47 | |
| 4 | 2003 | 38 | |
| 5 | 2016 | 19 | |
| 6 | 2019 | 12 | |
| 7 | 2000 | 9 | |
| 8 | 1998 | 9 | |
| 9 | 1995 | 9 | |
| 10 | 2015 | 9 | |
| 11 | 2002 | 7 | |
| 12 | 2018 | 6 | |
| 13 | 2003 | 6 | |
| 14 | 2002 | 6 | |
| 15 | 2002 | 4 | |
| 16 | 2001 | 4 | |
| 17 | 2002 | 3 | |
| 18 | 2002 | 2 | |
| 19 | 2003 | 2 | |
| 20 | 2006 | 2 |
About R.A. Casas
R.A. Casas is a scholar working on Signal Processing, Computational Mechanics, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 23 papers that have together received 854 indexed citations. Recurring topics across this work include Blind Source Separation Techniques (12 papers), Advanced Adaptive Filtering Techniques (9 papers), Neural Networks and Applications (4 papers), Control Systems and Identification (3 papers), Advanced Neural Network Applications (3 papers), Advanced Wireless Communication Techniques (3 papers), Acoustic Wave Resonator Technologies (2 papers) and Advancements in PLL and VCO Technologies (2 papers). The work is most often cited by research in Signal Processing (543 citations), Computational Mechanics (317 citations), Computer Networks and Communications (163 citations), Electrical and Electronic Engineering (408 citations) and Artificial Intelligence (157 citations). R.A. Casas has collaborated with scholars based in United States, Australia and Jordan. Frequent co-authors include Philip Schniter, T.J. Endres, Donald R. Brown, Roger D. Johnson, C.R. Johnson, Raffaello D’Andrea, Francis C. Moon, C.A. Jacobson, Robert R. Bitmead and Alexander I. Khibnik. Their work appears in journals such as Automatica, Nonlinear Dynamics, IEEE Transactions on Broadcasting, Proceedings of the IEEE and Applied Artificial Intelligence.
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.