G. Cabras

1.7k total citations
12 papers, 71 citations indexed

About

G. Cabras is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, G. Cabras has authored 12 papers receiving a total of 71 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Signal Processing, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Computational Mechanics. Recurrent topics in G. Cabras's work include Speech and Audio Processing (3 papers), Blind Source Separation Techniques (3 papers) and Image and Signal Denoising Methods (2 papers). G. Cabras is often cited by papers focused on Speech and Audio Processing (3 papers), Blind Source Separation Techniques (3 papers) and Image and Signal Denoising Methods (2 papers). G. Cabras collaborates with scholars based in Italy, Japan and Spain. G. Cabras's co-authors include Roberto Carniel, H. Grassmann, Joshua P. Jones, Minoru Takeo, Joachim Wassermann, Vito Roberto, Sergio Canazza, Pier Luca Montessoro, R. Rinaldo and G. Salemi and has published in prestigious journals such as Renewable Energy, Computer Physics Communications and Seismological Research Letters.

In The Last Decade

G. Cabras

11 papers receiving 66 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
G. Cabras Italy	5	29	25	23	14	7	12	71
C. Wu China	7	57 2.0×	10 0.4×	26 1.1×		1 0.1×	13	97
J. Warner United States	5	33 1.1×	7 0.3×	17 0.7×		2 0.3×	8	77
P. M. Allan United Kingdom	6	16 0.6×	19 0.8×	2 0.1×	6 0.4×		21	88
Xiaodan Deng China	6	4 0.1×	9 0.4×	28 1.2×	2 0.1×	3 0.4×	13	77
M. A. Carr United States	2	21 0.7×	7 0.3×	9 0.4×			3	39
Jeff Kirk United States	5	7 0.2×	14 0.6×	5 0.2×	7 0.5×		9	60
H. Radkins United States	4	29 1.0×	6 0.2×	11 0.5×		1 0.1×	4	53
D. Mance Switzerland	5	15 0.5×	16 0.6×	5 0.2×			7	50
A. A. Vasiliev Russia	4	6 0.2×	30 1.2×	5 0.2×	2 0.1×		12	54
S. de Raucourt United States	4	9 0.3×	84 3.4×	20 0.9×	4 0.3×	2 0.3×	11	141

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-authorship network of co-authors of G. Cabras

This figure shows the co-authorship network connecting the top 25 collaborators of G. Cabras. A scholar is included among the top collaborators of G. Cabras based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with G. Cabras. G. Cabras is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

Barneo, P., G. Cabras, P.-F. Cohadon, et al.. (2024). Addressing the problem of the LIGO–Virgo–KAGRA visibility in the scientific literature. The European Physical Journal H. 49(1). 1 indexed citations

Cabras, G., Roberto Carniel, Joshua P. Jones, & Minoru Takeo. (2014). Reducing wind noise in seismic data using Non-negative Matrix Factorization: an application to Villarrica volcano, Chile. Geofísica Internacional. 53(1). 77–85. 8 indexed citations

Carniel, Roberto, G. Cabras, Mie Ichihara, & Minoru Takeo. (2014). Filtering Wind in Infrasound Data by Non-Negative Matrix Factorization. Seismological Research Letters. 85(5). 1056–1062. 3 indexed citations

Cabras, G.. (2014). Advanced component analysis techniques for signal decomposition: With applications to audio restoration and volcanic seismology. 1 indexed citations

Cabras, G., Roberto Carniel, & Joshua P. Jones. (2012). Non-negative Matrix Factorization: an Application to Erta ’Ale volcano, Ethiopia. Institutional Research Information System (University of Udine). 7 indexed citations

Cabras, G., et al.. (2010). The Restoration of Single Channel Audio Recordings Based on Non-Negative Matrix Factorization and Perceptual Suppression Rule. Institutional Research Information System (University of Udine). 2 indexed citations

Cabras, G., et al.. (2010). The restoration of low-quality audio recordings based on non-negative matrix factorization and perceptual assessment by means of the ebu mushra test method. Research Padua Archive (University of Padua). 19–24. 2 indexed citations

Cabras, G., Roberto Carniel, & Joachim Wassermann. (2008). BLIND SOURCE SEPARATION: AN APPLICATION TO THE MT. MERAPI VOLCANO, INDONESIA. Fluctuation and Noise Letters. 8(03n04). L249–L260. 10 indexed citations

Carmona, E., P. Majumdar, A. Moralejo, et al.. (2007). Monte Carlo Simulation for the MAGIC-II System. Max Planck Institute for Plasma Physics. 3. 1373–1376. 5 indexed citations

10.

Kunze, M., Alessio De Angelis, H. Kornmayer, et al.. (2005). A distributed, Grid-based analysis system for the MAGIC telescope. CERN Document Server (European Organization for Nuclear Research). 1 indexed citations

11.

Grassmann, H., et al.. (2003). A partially static turbine—first experimental results. Renewable Energy. 28(11). 1779–1785. 29 indexed citations

12.

Cabras, G., Vito Roberto, & G. Salemi. (1987). UNIDFT: A package of optimized discrete fourier transforms. Computer Physics Communications. 47(1). 113–127. 2 indexed citations

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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