Daniele Salvati

593 total citations
34 papers, 420 citations indexed

About

Daniele Salvati is a scholar working on Signal Processing, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, Daniele Salvati has authored 34 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Signal Processing, 12 papers in Computational Mechanics and 7 papers in Artificial Intelligence. Recurrent topics in Daniele Salvati's work include Speech and Audio Processing (34 papers), Advanced Adaptive Filtering Techniques (12 papers) and Music and Audio Processing (11 papers). Daniele Salvati is often cited by papers focused on Speech and Audio Processing (34 papers), Advanced Adaptive Filtering Techniques (12 papers) and Music and Audio Processing (11 papers). Daniele Salvati collaborates with scholars based in Italy, Algeria and Netherlands. Daniele Salvati's co-authors include Gian Luca Foresti, Carlo Drioli, Sergio Canazza, Antonio Rodà, Franco Blanchini, Giulia Giordano, Julio J. Carabias-Orti and Mustapha Benssalah and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Expert Systems with Applications and IEEE Transactions on Cybernetics.

In The Last Decade

Daniele Salvati

33 papers receiving 405 citations

Peers

Daniele Salvati
Alexandre Guérin France
Despoina Pavlidi Greece
Pasi Pertilä Finland
Antonio Canclini Italy
Srđan Kitić France
Shengkui Zhao Singapore
Soumitro Chakrabarty Germany
Luiz W. P. Biscainho Brazil
Afsaneh Asaei Switzerland
Alexandre Guérin France
Daniele Salvati
Citations per year, relative to Daniele Salvati Daniele Salvati (= 1×) peers Alexandre Guérin

Countries citing papers authored by Daniele Salvati

Since Specialization
Citations

This map shows the geographic impact of Daniele Salvati'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 Daniele Salvati with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniele Salvati more than expected).

Fields of papers citing papers by Daniele Salvati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniele Salvati. 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 Daniele Salvati. The network helps show where Daniele Salvati may publish in the future.

Co-authorship network of co-authors of Daniele Salvati

This figure shows the co-authorship network connecting the top 25 collaborators of Daniele Salvati. A scholar is included among the top collaborators of Daniele Salvati 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 Daniele Salvati. Daniele Salvati is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Benssalah, Mustapha, et al.. (2024). Acoustic source detection and localization using generalized likelihood ratio test in the spherical harmonic domain. Applied Acoustics. 231. 110434–110434.
2.
Carabias-Orti, Julio J., et al.. (2023). Efficient parallel kernel based on Cholesky decomposition to accelerate multichannel nonnegative matrix factorization. The Journal of Supercomputing. 79(18). 20649–20664. 2 indexed citations
3.
Salvati, Daniele, et al.. (2022). Efficient Detection and Localization of Acoustic Sources with a low complexity CNN network and the Diagonal Unloading Beamforming. 2022 International Joint Conference on Neural Networks (IJCNN). 1–8. 2 indexed citations
4.
Salvati, Daniele, Carlo Drioli, & Gian Luca Foresti. (2022). Acoustic Source Localization Using a Geometrically Sampled Grid SRP-PHAT Algorithm With Max-Pooling Operation. IEEE Signal Processing Letters. 29. 1828–1832. 9 indexed citations
5.
Salvati, Daniele, Carlo Drioli, & Gian Luca Foresti. (2021). Spherical Harmonic Diagonal Unloading Beamforming with Ego-Noise Reduction for DOA Estimation from Autonomous Systems. Institutional Research Information System (University of Udine). 216–220. 3 indexed citations
6.
Salvati, Daniele, Carlo Drioli, & Gian Luca Foresti. (2021). Iterative Diagonal Unloading Beamforming for Multiple Acoustic Sources Localization Using Compact Sensor Arrays. IEEE Sensors Journal. 21(13). 15080–15089. 6 indexed citations
7.
Salvati, Daniele, Carlo Drioli, & Gian Luca Foresti. (2021). Time Delay Estimation for Speaker Localization Using CNN-Based Parametrized GCC-PHAT Features. Institutional Research Information System (University of Udine). 1479–1483. 5 indexed citations
8.
Salvati, Daniele, Carlo Drioli, & Gian Luca Foresti. (2020). Two-Microphone End-to-End Speaker Joint Identification and Localization Via Convolutional Neural Networks. Institutional Research Information System (University of Udine). 1–6. 3 indexed citations
9.
Salvati, Daniele, Carlo Drioli, & Gian Luca Foresti. (2020). Diagonal Unloading Beamforming in the Spherical Harmonic Domain for Acoustic Source Localization in Reverberant Environments. IEEE/ACM Transactions on Audio Speech and Language Processing. 28. 2001–2012. 19 indexed citations
10.
Salvati, Daniele, Carlo Drioli, & Gian Luca Foresti. (2019). End-to-End Speaker Identification in Noisy and Reverberant Environments Using Raw Waveform Convolutional Neural Networks. Institutional Research Information System (University of Udine). 4335–4339. 5 indexed citations
11.
Salvati, Daniele, et al.. (2019). Acoustic Source Localization From Multirotor UAVs. IEEE Transactions on Industrial Electronics. 67(10). 8618–8628. 40 indexed citations
12.
Salvati, Daniele, Carlo Drioli, & Gian Luca Foresti. (2018). Sensitivity-based region selection in the steered response power algorithm. Signal Processing. 153. 1–10. 18 indexed citations
13.
Salvati, Daniele, Carlo Drioli, & Gian Luca Foresti. (2016). On the use of machine learning in microphone array beamforming for far-field sound source localization. Institutional Research Information System (University of Udine). 1–6. 22 indexed citations
14.
Salvati, Daniele & Sergio Canazza. (2014). Incident Signal Power Comparison for Localization of Concurrent Multiple Acoustic Sources. The Scientific World JOURNAL. 2014. 1–13. 15 indexed citations
15.
Salvati, Daniele, Carlo Drioli, & Gian Luca Foresti. (2014). Incoherent Frequency Fusion for Broadband Steered Response Power Algorithms in Noisy Environments. IEEE Signal Processing Letters. 21(5). 581–585. 41 indexed citations
16.
Salvati, Daniele, Sergio Canazza, & Gian Luca Foresti. (2012). A MICROPHONE ARRAY INTERFACE FOR REAL-TIME INTERACTIVE MUSIC PERFORMANCE. International Computer Music Conference. 2012(2). 232–5. 2 indexed citations
17.
Salvati, Daniele, et al.. (2011). A real-time system for multiple acoustic sources localization based on ISP comparison. Research Padua Archive (University of Padua). 4 indexed citations
18.
Salvati, Daniele, Antonio Rodà, Sergio Canazza, & Gian Luca Foresti. (2011). Multiple acoustic sources localization using incident Signal Power comparison. Research Padua Archive (University of Padua). 3869 lncs. 77–82. 1 indexed citations
19.
Salvati, Daniele, et al.. (2011). Sound Spatialization Control By Means Of Acoustic Source Localization System. Stereotactic and Functional Neurosurgery. 78(3-4). 192–6. 2 indexed citations
20.
Canazza, Sergio, et al.. (2009). The Vicentini sound archive of the Arena di Verona Foundation: A preservation and restoration project. CNR Solar (Scientific Open-access Literature Archive and Repository) (Consiglio Nazionale delle Ricerche). 1–6. 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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