Andrea Beretta
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education 5
- Health Information Management top 10%
- Artificial Intelligence top 10%
- Explainable Artificial Intelligence (XAI) 5
- Machine Learning in Healthcare 3
- Imbalanced Data Classification Techniques 2
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- Blood Pressure and Hypertension Studies 2
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- Flow Experience in Various Fields 1
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- SARS-CoV-2 and COVID-19 Research 1
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- Chronic Disease Management Strategies 1
- Co-authors
- Fosca GiannottiDino PedreschiCecilia PaniguttiSalvatore RinzivilloAlan PerottiRiccardo GuidottiYuan YinPatrick Gallinari
- Journals
- Journal of Hypertension (1 paper)Scandinavian Journal of Trauma Resuscitation and Emergency Medicine (1 paper)ACM Transactions on Interactive Intelligent Systems (1 paper)
- Partner nations
- ItalyFranceSouth Africa
In The Last Decade
Andrea Beretta
10 papers receiving 210 citations
Peers
Comparison fields: 5 of 74
- Health Informatics 67
- Health Information Management 17
- Artificial Intelligence 103
- Family Practice 6
- Safety Research 22
Countries citing papers authored by Andrea Beretta
This map shows the geographic impact of Andrea Beretta'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 Andrea Beretta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrea Beretta more than expected).
Fields of papers citing papers by Andrea Beretta
This network shows the impact of papers produced by Andrea Beretta. 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 Andrea Beretta. The network helps show where Andrea Beretta may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Andrea Beretta, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 26 | |
| 2 | 2024 | 7 | |
| 3 | 2023 | 43 | |
| 4 | 2023 | 11 | |
| 5 | 2022 | 2 | |
| 6 | 2022 | 6 | |
| 7 | 2022 | 75 | |
| 8 | 2020 | 34 | |
| 9 | 2019 | 1 | |
| 10 | 2018 | 12 |
About Andrea Beretta
Andrea Beretta is a scholar working on Health Informatics, Applied Psychology, Artificial Intelligence, Nephrology and Cardiology and Cardiovascular Medicine, having authored 10 papers that have together received 217 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (5 papers), Explainable Artificial Intelligence (XAI) (5 papers), Machine Learning in Healthcare (3 papers), Imbalanced Data Classification Techniques (2 papers), Blood Pressure and Hypertension Studies (2 papers), Flow Experience in Various Fields (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper) and Chronic Disease Management Strategies (1 paper). The work is most often cited by research in Health Informatics (67 citations), Health Information Management (17 citations), Artificial Intelligence (103 citations), Family Practice (6 citations) and Safety Research (22 citations). Andrea Beretta has collaborated with scholars based in Italy, France and South Africa. Frequent co-authors include Fosca Giannotti, Dino Pedreschi, Cecilia Panigutti, Salvatore Rinzivillo, Alan Perotti, Riccardo Guidotti, Yuan Yin, Patrick Gallinari, Hedwige Gay and Mauro Moreno. Their work appears in journals such as Journal of Hypertension, Scandinavian Journal of Trauma Resuscitation and Emergency Medicine, ACM Transactions on Interactive Intelligent Systems, Bioengineering and Diagnostics.
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.