Leonardo Badino
- Cognitive Neuroscience top 5%
- Social Psychology top 5%
- Artificial Intelligence top 5%
- Signal Processing top 5%
- Experimental and Cognitive Psychology top 10%
- Co-authors
- Luciano FadigaAlessandro D’AusilioAntonio CamurriGiorgio MettaDonald GlowinskiGualtiero VolpeYiannis AloimonosClaudia Barolo
- Topics
- Speech Recognition and Synthesis (23 papers)Speech and Audio Processing (14 papers)Music and Audio Processing (12 papers)
- Journals
- PLoS ONEScientific ReportsPhilosophical Transactions of the Royal Society B Biological Sciences
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Leonardo Badino
40 papers receiving 569 citations
Peers
Comparison fields: 5 of 67
- Cognitive Neuroscience 302
- Social Psychology 223
- Artificial Intelligence 217
- Signal Processing 196
- Experimental and Cognitive Psychology 129
Countries citing papers authored by Leonardo Badino
This map shows the geographic impact of Leonardo Badino'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 Leonardo Badino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leonardo Badino more than expected).
Fields of papers citing papers by Leonardo Badino
This network shows the impact of papers produced by Leonardo Badino. 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 Leonardo Badino. The network helps show where Leonardo Badino may publish in the future.
Co-authorship network of co-authors of Leonardo Badino
This figure shows the co-authorship network connecting the top 25 collaborators of Leonardo Badino. A scholar is included among the top collaborators of Leonardo Badino 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 Leonardo Badino. Leonardo Badino 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 | 22 | |
| 3 | 7 | |
| 4 | 2 | |
| 5 | 11 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 9 | |
| 9 | 19 | |
| 10 | 27 | |
| 11 | 34 | |
| 12 | 67 | |
| 13 | 94 | |
| 14 | 11 | |
| 15 | 19 | |
| 16 | 3 | |
| 17 | 3 | |
| 18 | Issues of Optionality in Pitch Accent Placement | 4 |
| 19 | The Cerevoice Blizzard Entry 2007: Are Small Database Errors Worse than Compression Artifacts? | 1 |
| 20 | 28 |
About Leonardo Badino
Leonardo Badino is a scholar working on Signal Processing, Artificial Intelligence and Cognitive Neuroscience, having authored 41 papers that have together received 619 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (23 papers), Speech and Audio Processing (14 papers) and Music and Audio Processing (12 papers). The work is most often cited by research in Signal Processing (196 citations), Cognitive Neuroscience (302 citations) and Social Psychology (223 citations). Leonardo Badino has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Luciano Fadiga, Alessandro D’Ausilio, Antonio Camurri, Giorgio Metta, Donald Glowinski, Gualtiero Volpe, Yiannis Aloimonos, Claudia Barolo, Rosario Canto and Laila Craighero. Their work appears in journals such as PLoS ONE, Scientific Reports and Philosophical Transactions of the Royal Society B Biological Sciences.
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.