Francesco Beritelli
- Signal Processing top 2%
- Artificial Intelligence top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Pulmonary and Respiratory Medicine
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Roberta AvanzatoS. CasaleSalvatore SerranoGiuseppe RuggeriGiacomo CapizziGrazia Lo SciutoChristian NapoliFrancesco Scaglione
- Topics
- Speech and Audio Processing (38 papers)Music and Audio Processing (22 papers)Speech Recognition and Synthesis (21 papers)
In The Last Decade
Francesco Beritelli
96 papers receiving 961 citations
Peers
Comparison fields: 5 of 100
- Signal Processing 446
- Artificial Intelligence 250
- Cardiology and Cardiovascular Medicine 215
- Pulmonary and Respiratory Medicine 187
- Computer Vision and Pattern Recognition 164
Countries citing papers authored by Francesco Beritelli
This map shows the geographic impact of Francesco Beritelli'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 Francesco Beritelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesco Beritelli more than expected).
Fields of papers citing papers by Francesco Beritelli
This network shows the impact of papers produced by Francesco Beritelli. 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 Francesco Beritelli. The network helps show where Francesco Beritelli may publish in the future.
Co-authorship network of co-authors of Francesco Beritelli
This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Beritelli. A scholar is included among the top collaborators of Francesco Beritelli 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 Francesco Beritelli. Francesco Beritelli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 19 | |
| 5 | 0 | |
| 6 | 5 | |
| 7 | 0 | |
| 8 | 14 | |
| 9 | 2 | |
| 10 | 4 | |
| 11 | 4 | |
| 12 | 0 | |
| 13 | 28 | |
| 14 | 1 | |
| 15 | 37 | |
| 16 | 15 | |
| 17 | 1Human Identification Based on Segmentation and Frequency Analysis of Cardiac Sounds | 1 |
| 18 | 28 | |
| 19 | 0 | |
| 20 | 95 |
About Francesco Beritelli
Francesco Beritelli is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 107 papers that have together received 1.0k indexed citations. Recurring topics across this work include Speech and Audio Processing (38 papers), Music and Audio Processing (22 papers) and Speech Recognition and Synthesis (21 papers). The work is most often cited by research in Signal Processing (446 citations), Cardiology and Cardiovascular Medicine (215 citations) and Computer Vision and Pattern Recognition (164 citations). Francesco Beritelli has collaborated with scholars based in Italy, Poland and Australia. Frequent co-authors include Roberta Avanzato, S. Casale, Salvatore Serrano, Giuseppe Ruggeri, Giacomo Capizzi, Grazia Lo Sciuto, Christian Napoli, Francesco Scaglione, Alfio Lombardo and Alessandra Russo. Their work appears in journals such as IEEE Access, IEEE Journal on Selected Areas in Communications 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.