Giampiero Salvi
- Artificial Intelligence top 5%
- Signal Processing top 5%
- Computer Vision and Pattern Recognition top 10%
- Experimental and Cognitive Psychology top 10%
- Cognitive Neuroscience
- Co-authors
- Jonas BeskowCatharine OertelAlexandre BernardinoSabato Marco SiniscalchiP. StrataG. MoruzziGiovanni BerlucchiKalin Stefanov
- Topics
- Speech and Audio Processing (34 papers)Speech Recognition and Synthesis (30 papers)Music and Audio Processing (17 papers)
In The Last Decade
Giampiero Salvi
71 papers receiving 633 citations
Peers
Comparison fields: 5 of 106
- Artificial Intelligence 327
- Signal Processing 208
- Computer Vision and Pattern Recognition 139
- Experimental and Cognitive Psychology 132
- Cognitive Neuroscience 93
Countries citing papers authored by Giampiero Salvi
This map shows the geographic impact of Giampiero Salvi'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 Giampiero Salvi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giampiero Salvi more than expected).
Fields of papers citing papers by Giampiero Salvi
This network shows the impact of papers produced by Giampiero Salvi. 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 Giampiero Salvi. The network helps show where Giampiero Salvi may publish in the future.
Co-authorship network of co-authors of Giampiero Salvi
This figure shows the co-authorship network connecting the top 25 collaborators of Giampiero Salvi. A scholar is included among the top collaborators of Giampiero Salvi 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 Giampiero Salvi. Giampiero Salvi 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 | 3 | |
| 3 | 8 | |
| 4 | 3 | |
| 5 | 13 | |
| 6 | 36 | |
| 7 | 16 | |
| 8 | 8 | |
| 9 | Free Acoustic and Language Models for Large Vocabulary Continuous Speech Recognition in Swedish | 3 |
| 10 | A dataset of human manipulation actions | 2 |
| 11 | The WaveSurfer Automatic Speech Recognition Plugin | 1 |
| 12 | On the Benefit of Using Auditory Modeling for Diagnostic Evaluation of Pronunciations | 2 |
| 13 | 26 | |
| 14 | 23 | |
| 15 | Associating word descriptions to learned manipulation task models | 1 |
| 16 | SynFace Phone Recognizer for Swedish Wideband and Narrowband Speech | 0 |
| 17 | 2 | |
| 18 | Truncation error and dynamics in very low latency phonetic recognition | 9 |
| 19 | The cost 249 speechdat multilingual reference recogniser | 21 |
| 20 | 36 |
About Giampiero Salvi
Giampiero Salvi is a scholar working on Signal Processing, Artificial Intelligence and Anatomy, having authored 82 papers that have together received 706 indexed citations. Recurring topics across this work include Speech and Audio Processing (34 papers), Speech Recognition and Synthesis (30 papers) and Music and Audio Processing (17 papers). The work is most often cited by research in Signal Processing (208 citations), Artificial Intelligence (327 citations) and Experimental and Cognitive Psychology (132 citations). Giampiero Salvi has collaborated with scholars based in Sweden, Norway and Italy. Frequent co-authors include Jonas Beskow, Catharine Oertel, Alexandre Bernardino, Sabato Marco Siniscalchi, P. Strata, G. Moruzzi, Giovanni Berlucchi, Kalin Stefanov, Torbjørn Svendsen and José Santos-Victor. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and The Journal of the Acoustical Society of America.
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.