Michele Bernardini
- Artificial Intelligence top 10%
- Health Information Management top 1%
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Emanuele FrontoniLuca RomeoDaniele LiciottiPaolo MisericordiaMicaela MorettiniLaura BurattiniMassih-Reza AminiPaolo Di Bartolo
- Topics
- Artificial Intelligence in Healthcare (9 papers)Machine Learning in Healthcare (5 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers)
In The Last Decade
Michele Bernardini
14 papers receiving 349 citations
Peers
Comparison fields: 5 of 75
- Artificial Intelligence 162
- Health Information Management 135
- Computer Vision and Pattern Recognition 99
- Electrical and Electronic Engineering 40
- Radiology, Nuclear Medicine and Imaging 39
Countries citing papers authored by Michele Bernardini
This map shows the geographic impact of Michele 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 Michele Bernardini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michele Bernardini more than expected).
Fields of papers citing papers by Michele Bernardini
This network shows the impact of papers produced by Michele 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 Michele Bernardini. The network helps show where Michele Bernardini may publish in the future.
Co-authorship network of co-authors of Michele Bernardini
This figure shows the co-authorship network connecting the top 25 collaborators of Michele Bernardini. A scholar is included among the top collaborators of Michele 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 Michele Bernardini. Michele 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 | 0 | |
| 2 | 18 | |
| 3 | 34 | |
| 4 | 6 | |
| 5 | 20 | |
| 6 | 31 | |
| 7 | 14 | |
| 8 | 23 | |
| 9 | 85 | |
| 10 | 2 | |
| 11 | 117 | |
| 12 | 2 | |
| 13 | 2 | |
| 14 | 3 | |
| 15 | 1 |
About Michele Bernardini
Michele Bernardini is a scholar working on Health Information Management, Artificial Intelligence and Transportation, having authored 15 papers that have together received 358 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (9 papers), Machine Learning in Healthcare (5 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers). The work is most often cited by research in Health Information Management (135 citations), Health Informatics (38 citations) and Artificial Intelligence (162 citations). Michele Bernardini has collaborated with scholars based in Italy, France and Belgium. Frequent co-authors include Emanuele Frontoni, Luca Romeo, Daniele Liciotti, Paolo Misericordia, Micaela Morettini, Laura Burattini, Massih-Reza Amini, Paolo Di Bartolo, Antonio Nicolucci and Antonio Ceriello. Their work appears in journals such as IEEE Access, Neurocomputing and Diabetes Research and Clinical Practice.
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.