Fabio Brugnara
- Artificial Intelligence top 2%
- Signal Processing top 2%
- Experimental and Cognitive Psychology top 10%
- Computer Vision and Pattern Recognition top 10%
- Physiology
- Co-authors
- Diego GiulianiMatteo GerosaMaurizio OmologoDaniele FalavignaMarcello FedericoGeorg StemmerMauro CettoloRoberto Gretter
- Topics
- Speech Recognition and Synthesis (34 papers)Speech and Audio Processing (22 papers)Music and Audio Processing (13 papers)
- Journals
- Speech CommunicationComputer Speech & LanguageLund University Publications (Lund University)
In The Last Decade
Fabio Brugnara
44 papers receiving 535 citations
Peers
Comparison fields: 5 of 51
- Artificial Intelligence 592
- Signal Processing 405
- Experimental and Cognitive Psychology 120
- Computer Vision and Pattern Recognition 73
- Physiology 30
Countries citing papers authored by Fabio Brugnara
This map shows the geographic impact of Fabio Brugnara'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 Fabio Brugnara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabio Brugnara more than expected).
Fields of papers citing papers by Fabio Brugnara
This network shows the impact of papers produced by Fabio Brugnara. 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 Fabio Brugnara. The network helps show where Fabio Brugnara may publish in the future.
Co-authorship network of co-authors of Fabio Brugnara
This figure shows the co-authorship network connecting the top 25 collaborators of Fabio Brugnara. A scholar is included among the top collaborators of Fabio Brugnara 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 Fabio Brugnara. Fabio Brugnara is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | FBK @ IWSLT 2011. | 4 |
| 3 | 2 | |
| 4 | 11 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 23 | |
| 8 | 4 | |
| 9 | 2 | |
| 10 | A system for the segmentation and transcription of Italian radio news | 15 |
| 11 | HMM methods in speech recognition | 2 |
| 12 | 4 | |
| 13 | 1 | |
| 14 | 2 | |
| 15 | 4 | |
| 16 | 47 | |
| 17 | 7 | |
| 18 | 7 | |
| 19 | 119 | |
| 20 | 2 |
About Fabio Brugnara
Fabio Brugnara is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 44 papers that have together received 673 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (34 papers), Speech and Audio Processing (22 papers) and Music and Audio Processing (13 papers). The work is most often cited by research in Signal Processing (405 citations), Artificial Intelligence (592 citations) and Experimental and Cognitive Psychology (120 citations). Fabio Brugnara has collaborated with scholars based in Italy, Canada and Germany. Frequent co-authors include Diego Giuliani, Matteo Gerosa, Maurizio Omologo, Daniele Falavigna, Marcello Federico, Georg Stemmer, Mauro Cettolo, Roberto Gretter, Florian Hönig and Christian Hacker. Their work appears in journals such as Speech Communication, Computer Speech & Language and Lund University Publications (Lund University).
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.