Leonardo Badino

1.1k total citations
41 papers, 619 citations indexed

About

Leonardo Badino is a scholar working on Artificial Intelligence, Signal Processing and Cognitive Neuroscience. According to data from OpenAlex, Leonardo Badino has authored 41 papers receiving a total of 619 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 17 papers in Signal Processing and 13 papers in Cognitive Neuroscience. Recurrent topics in Leonardo Badino's work include Speech Recognition and Synthesis (23 papers), Speech and Audio Processing (14 papers) and Music and Audio Processing (12 papers). Leonardo Badino is often cited by papers focused on Speech Recognition and Synthesis (23 papers), Speech and Audio Processing (14 papers) and Music and Audio Processing (12 papers). Leonardo Badino collaborates with scholars based in Italy, United Kingdom and United States. Leonardo Badino's 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 and has published in prestigious journals such as PLoS ONE, Scientific Reports and Philosophical Transactions of the Royal Society B Biological Sciences.

In The Last Decade

Leonardo Badino

40 papers receiving 569 citations

Peers

Leonardo Badino
Comparison fields: 5 of 67
  • Cognitive Neuroscience 302
  • Social Psychology 223
  • Artificial Intelligence 217
  • Signal Processing 196
  • Experimental and Cognitive Psychology 129
Replace Kat Agres with:
Kat Agres Singapore
Eduardo Coutinho United Kingdom
Donald Glowinski Italy
Makiko Sadakata Netherlands
Yoshitaka Nakajima Japan
João Felipe Santos Canada
Rolf Carlson Sweden
Hans-Henning Schulze Germany
Duncan Williams United Kingdom
Loïc Kessous France
Kat Agres Singapore View profile →
Citations per field, relative to Leonardo Badino
Leonardo Badino · 1×
Citations per year, relative to Leonardo Badino
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Countries citing papers authored by Leonardo Badino

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
# 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

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.

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