Daniele Falavigna
- Signal Processing top 1%
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 5%
- Information Systems top 5%
- Experimental and Cognitive Psychology top 10%
- Co-authors
- Roberto BrunelliMaurizio OmologoFabio BrugnaraRoberto GretterDiego GiulianiMarco TurchiPiero CosiMatteo Negri
- Topics
- Speech Recognition and Synthesis (49 papers)Speech and Audio Processing (29 papers)Speech and dialogue systems (26 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine IntelligenceSensors
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Daniele Falavigna
69 papers receiving 822 citations
Peers
Comparison fields: 5 of 79
- Signal Processing 591
- Artificial Intelligence 544
- Computer Vision and Pattern Recognition 336
- Information Systems 148
- Experimental and Cognitive Psychology 75
Countries citing papers authored by Daniele Falavigna
This map shows the geographic impact of Daniele Falavigna'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 Falavigna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniele Falavigna more than expected).
Fields of papers citing papers by Daniele Falavigna
This network shows the impact of papers produced by Daniele Falavigna. 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 Falavigna. The network helps show where Daniele Falavigna may publish in the future.
Co-authorship network of co-authors of Daniele Falavigna
This figure shows the co-authorship network connecting the top 25 collaborators of Daniele Falavigna. A scholar is included among the top collaborators of Daniele Falavigna 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 Falavigna. Daniele Falavigna is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 6 | |
| 10 | Quality Estimation for Automatic Speech Recognition | 20 |
| 11 | Focusing language models for automatic speech recognition. | 3 |
| 12 | FBK @ IWSLT 2011. | 4 |
| 13 | 6 | |
| 14 | 2 | |
| 15 | 53 | |
| 16 | Home Monitoring of Hypertensive Patients through Intelligent Dialog System | 5 |
| 17 | The C-ORAL-ROM Project. New methods for spoken language archives in a multilingual romance corpus. | 8 |
| 18 | 11 | |
| 19 | 3 | |
| 20 | 390 |
About Daniele Falavigna
Daniele Falavigna is a scholar working on Signal Processing, Artificial Intelligence and Experimental and Cognitive Psychology, having authored 78 papers that have together received 994 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (49 papers), Speech and Audio Processing (29 papers) and Speech and dialogue systems (26 papers). The work is most often cited by research in Signal Processing (591 citations), Artificial Intelligence (544 citations) and Computer Vision and Pattern Recognition (336 citations). Daniele Falavigna has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Roberto Brunelli, Maurizio Omologo, Fabio Brugnara, Roberto Gretter, Diego Giuliani, Marco Turchi, Piero Cosi, Matteo Negri, Ivano Azzini and Marco Matassoni. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Sensors.
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.