G. Cabras
Impact in
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- Seismic Waves and Analysis
- Earthquake Detection and Analysis
- Seismic Imaging and Inversion Techniques
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- Wind Energy Research and Development
- Aerodynamics and Fluid Dynamics Research
Papers in
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- Blind Source Separation Techniques 3
- Speech and Audio Processing 3
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- Seismology and Earthquake Studies 2
- Co-authors
- Roberto Carniel (4 shared papers)H. Grassmann (1 shared paper)Joshua P. Jones (2 shared papers)Joachim Wassermann (1 shared paper)Minoru Takeo (2 shared papers)C. Bigongiari (3 shared papers)V. Vitale (1 shared paper)R. Rinaldo (2 shared papers)
In The Last Decade
G. Cabras
12 papers receiving 71 citations
Peers
Comparison fields: 5 of 31
- Geophysics 29
- Aerospace Engineering 26
- Environmental Engineering 14
- Artificial Intelligence 23
- Energy Engineering and Power Technology 2
Countries citing papers authored by G. Cabras
This map shows the geographic impact of G. Cabras'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 G. Cabras with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Cabras more than expected).
Fields of papers citing papers by G. Cabras
This network shows the impact of papers produced by G. Cabras. 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 G. Cabras. The network helps show where G. Cabras may publish in the future.
Co-authors
The 25 scholars most cited alongside G. Cabras, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 30 | |
| 2 | 2008 | 10 | |
| 3 | 2014 | 8 | |
| 4 | 2012 | 7 | |
| 5 | Monte Carlo Simulation for the MAGIC-II System | 2007 | 6 |
| 6 | 2006 | 4 | |
| 7 | 2014 | 3 | |
| 8 | The Restoration of Single Channel Audio Recordings Based on Non-Negative Matrix Factorization and Perceptual Suppression Rule | 2010 | 2 |
| 9 | 1987 | 2 | |
| 10 | 2010 | 2 | |
| 11 | 2024 | 1 | |
| 12 | 2005 | 1 | |
| 13 | Advanced component analysis techniques for signal decomposition: With applications to audio restoration and volcanic seismology | 2014 | 1 |
About G. Cabras
G. Cabras is a scholar working on Signal Processing, Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 13 papers that have together received 77 indexed citations. Recurring topics across this work include Blind Source Separation Techniques (3 papers), Speech and Audio Processing (3 papers), Seismic Waves and Analysis (2 papers), Image and Signal Denoising Methods (2 papers), Seismic Imaging and Inversion Techniques (2 papers), Distributed and Parallel Computing Systems (2 papers), Seismology and Earthquake Studies (2 papers) and Fluid dynamics and aerodynamics studies (1 paper). The work is most often cited by research in Geophysics (29 citations), Aerospace Engineering (26 citations), Environmental Engineering (14 citations), Artificial Intelligence (23 citations) and Energy Engineering and Power Technology (2 citations). G. Cabras has collaborated with scholars based in Italy, Germany and Japan. Frequent co-authors include Roberto Carniel, H. Grassmann, Joshua P. Jones, Joachim Wassermann, Minoru Takeo, C. Bigongiari, V. Vitale, R. Rinaldo, F. De Sabata and G. Salemi. Their work appears in journals such as Renewable Energy, Geofísica Internacional, Computer Physics Communications, Seismological Research Letters and The European Physical Journal H.
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.