Francesco Nesta
- Signal Processing top 1%
- Speech and Audio Processing 34
- Blind Source Separation Techniques 27
- Music and Audio Processing 7
- Computational Mechanics top 5%
- Advanced Adaptive Filtering Techniques 15
- Artificial Intelligence top 5%
- Speech Recognition and Synthesis 4
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- Spectroscopy and Chemometric Analyses 3
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- Underwater Acoustics Research 3
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- Image and Signal Denoising Methods 2
- Co-authors
- Maurizio OmologoMarco MatassoniJon BarkerShinji WatanabeJonathan Le RouxEmmanuel VincentPiergiorgio SvaizerZbyněk Koldovský
- Journals
- IEEE Transactions on Audio Speech and Language Processing (4 papers)Computer Speech & Language (2 papers)IEEE Journal of Solid-State Circuits (1 paper)
- Partner nations
- ItalyUnited StatesCzechia
In The Last Decade
Francesco Nesta
32 papers receiving 527 citations
Peers
Comparison fields: 5 of 33
- Signal Processing 568
- Computational Mechanics 226
- Artificial Intelligence 227
- Analytical Chemistry 26
- Cognitive Neuroscience 47
Countries citing papers authored by Francesco Nesta
This map shows the geographic impact of Francesco Nesta'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 Francesco Nesta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesco Nesta more than expected).
Fields of papers citing papers by Francesco Nesta
This network shows the impact of papers produced by Francesco Nesta. 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 Francesco Nesta. The network helps show where Francesco Nesta may publish in the future.
Co-authorship network
The 22 scholars most cited alongside Francesco Nesta, 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 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2020 | 19 | |
| 4 | 2020 | 1 | |
| 5 | 2017 | 14 | |
| 6 | 2016 | 0 | |
| 7 | 2016 | 3 | |
| 8 | The second ‘CHiME’ speech separation and recognition challenge: Datasets, tasks and baselines | 2013 | 11 |
| 9 | 2013 | 43 | |
| 10 | 2013 | 195 | |
| 11 | 2013 | 19 | |
| 12 | 2012 | 11 | |
| 13 | 2012 | 13 | |
| 14 | Real-Time Prototype for Integration of Blind Source Extraction and Robust Automatic Speech Recognition. | 2011 | 1 |
| 15 | 2011 | 6 | |
| 16 | 2011 | 48 | |
| 17 | 2011 | 8 | |
| 18 | 2010 | 51 | |
| 19 | 2009 | 11 | |
| 20 | 2009 | 9 |
About Francesco Nesta
Francesco Nesta is a scholar working on Signal Processing, Computational Mechanics, Analytical Chemistry, Oceanography and Computer Vision and Pattern Recognition, having authored 34 papers that have together received 606 indexed citations. Recurring topics across this work include Speech and Audio Processing (34 papers), Blind Source Separation Techniques (27 papers), Advanced Adaptive Filtering Techniques (15 papers), Music and Audio Processing (7 papers), Speech Recognition and Synthesis (4 papers), Underwater Acoustics Research (3 papers), Spectroscopy and Chemometric Analyses (3 papers) and Image and Signal Denoising Methods (2 papers). The work is most often cited by research in Signal Processing (568 citations), Computational Mechanics (226 citations), Artificial Intelligence (227 citations), Analytical Chemistry (26 citations) and Cognitive Neuroscience (47 citations). Francesco Nesta has collaborated with scholars based in Italy, United States and Czechia. Frequent co-authors include Maurizio Omologo, Marco Matassoni, Jon Barker, Shinji Watanabe, Jonathan Le Roux, Emmanuel Vincent, Piergiorgio Svaizer, Zbyněk Koldovský, Biing‐Hwang Juang and Alessio Brutti. Their work appears in journals such as IEEE Transactions on Audio Speech and Language Processing, Computer Speech & Language, IEEE Journal of Solid-State Circuits, IEEE Transactions on Signal Processing and BOA (University of Milano-Bicocca).
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.