G. Cabras

1.7k citations
12 papers · 71 indexed · h-index 5

Impact in

    • Seismic Waves and Analysis
    • Earthquake Detection and Analysis
    • Seismic Imaging and Inversion Techniques
    • Wind Energy Research and Development
    • Aerodynamics and Fluid Dynamics Research
    • Icing and De-icing Technologies

Papers in

G. Cabras

11 papers receiving 66 citations

Peers

G. Cabras
Comparison fields: 5 of 28
  • Geophysics 29
  • Aerospace Engineering 25
  • Environmental Engineering 14
  • Artificial Intelligence 23
  • Signal Processing 7
Replace J. Warner with:
J. Warner United States
Xiaodan Deng China
P. M. Allan United Kingdom
Koji Michishita Japan
Jeff Kirk United States
C. Wu China
S. de Raucourt France
A. A. Vasiliev Russia
Emre Eroğlu Türkiye
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G. Cabras relative to J. Warner United States J. Warner's profile →
Citations per field
00.5×3.6×
J. Warner · 1×
Citations per year

Countries citing papers authored by G. Cabras

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

12 of 12 papers shown
#Work
1 200329
2 200810
3 20148
4 20127
5
Monte Carlo Simulation for the MAGIC-II System
20075
6 20143
7
The Restoration of Single Channel Audio Recordings Based on Non-Negative Matrix Factorization and Perceptual Suppression Rule
20102
8 19872
9 20102
10
Advanced component analysis techniques for signal decomposition: With applications to audio restoration and volcanic seismology
20141
11 20051
12 20241

About G. Cabras

G. Cabras is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Computational Mechanics, Artificial Intelligence and Geophysics, having authored 12 papers that have together received 71 indexed citations. Recurring topics across this work include Speech and Audio Processing (3 papers), Blind Source Separation Techniques (3 papers), Image and Signal Denoising Methods (2 papers), Seismic Waves and Analysis (2 papers), Seismology and Earthquake Studies (2 papers), Seismic Imaging and Inversion Techniques (2 papers), Pulsars and Gravitational Waves Research (1 paper) and Spectroscopy and Chemometric Analyses (1 paper). The work is most often cited by research in Geophysics (29 citations), Aerospace Engineering (25 citations), Environmental Engineering (14 citations), Artificial Intelligence (23 citations) and Signal Processing (7 citations). G. Cabras has collaborated with scholars based in Italy, Japan and United States. Frequent co-authors include Roberto Carniel, H. Grassmann, Joshua P. Jones, Minoru Takeo, Joachim Wassermann, R. Rinaldo, C. Bigongiari, Vito Roberto, G. Salemi and Pier Luca Montessoro. Their work appears in journals such as Computer Physics Communications, The European Physical Journal H, Seismological Research Letters, Geofísica Internacional and Renewable Energy.

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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