Riccardo Bernardini
- Orthopedics and Sports Medicine top 1%
- Biomedical Engineering top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 5%
- Co-authors
- R. RinaldoP. E. di PramperoCristian OsgnachGiulia Da PoianPamela ZontoneAntonio AffanniAlessandro PirasG.M. Cortelazzo
- Topics
- Image and Signal Denoising Methods (28 papers)Digital Filter Design and Implementation (22 papers)Advanced Data Compression Techniques (21 papers)
- Journals
- SHILAP Revista de lepidopterologíaEuropean Heart JournalIEEE Transactions on Signal Processing
- Partner nations
- ItalySwitzerlandUnited States
In The Last Decade
Riccardo Bernardini
83 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Orthopedics and Sports Medicine 563
- Biomedical Engineering 303
- Cardiology and Cardiovascular Medicine 256
- Computer Vision and Pattern Recognition 248
- Signal Processing 232
Countries citing papers authored by Riccardo Bernardini
This map shows the geographic impact of Riccardo Bernardini'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 Riccardo Bernardini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Riccardo Bernardini more than expected).
Fields of papers citing papers by Riccardo Bernardini
This network shows the impact of papers produced by Riccardo Bernardini. 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 Riccardo Bernardini. The network helps show where Riccardo Bernardini may publish in the future.
Co-authorship network of co-authors of Riccardo Bernardini
This figure shows the co-authorship network connecting the top 25 collaborators of Riccardo Bernardini. A scholar is included among the top collaborators of Riccardo Bernardini 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 Riccardo Bernardini. Riccardo Bernardini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 13 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 18 | |
| 6 | 12 | |
| 7 | Energy Cost and Metabolic Power in Elite Soccerbreakdown → | 572 |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 0 | |
| 12 | 17 | |
| 13 | 2 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | Accessing Multi-user Virtual Worlds over IP | 2 |
| 17 | 20 | |
| 18 | 1 | |
| 19 | 9 | |
| 20 | 6 |
About Riccardo Bernardini
Riccardo Bernardini is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Hardware and Architecture, having authored 92 papers that have together received 1.3k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (28 papers), Digital Filter Design and Implementation (22 papers) and Advanced Data Compression Techniques (21 papers). The work is most often cited by research in Orthopedics and Sports Medicine (563 citations), Signal Processing (232 citations) and Complementary and alternative medicine (143 citations). Riccardo Bernardini has collaborated with scholars based in Italy, Switzerland and United States. Frequent co-authors include R. Rinaldo, P. E. di Prampero, Cristian Osgnach, Giulia Da Poian, Pamela Zontone, Antonio Affanni, Alessandro Piras, G.M. Cortelazzo, Andrea Gerosa and Simone Milani. Their work appears in journals such as SHILAP Revista de lepidopterología, European Heart Journal and IEEE Transactions on Signal Processing.
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.