Riccardo Levi
- Infectious Diseases top 10%
- Neurology top 10%
- Clinical Psychology
- Health
- Critical Care and Intensive Care Medicine
- Co-authors
- Alberto MantovaniMaría RescignoElena AzzoliniChiara PozziMaximiliano MolluraMichele LagioiaRiccardo BarbieriGiovanni Angelotti
- Topics
- COVID-19 Clinical Research Studies (6 papers)Radiomics and Machine Learning in Medical Imaging (5 papers)Medical Imaging and Analysis (5 papers)
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Riccardo Levi
15 papers receiving 303 citations
Hit Papers
Peers
Comparison fields: 5 of 58
- Infectious Diseases 186
- Neurology 154
- Clinical Psychology 56
- Health 35
- Critical Care and Intensive Care Medicine 29
Countries citing papers authored by Riccardo Levi
This map shows the geographic impact of Riccardo Levi'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 Levi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Riccardo Levi more than expected).
Fields of papers citing papers by Riccardo Levi
This network shows the impact of papers produced by Riccardo Levi. 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 Levi. The network helps show where Riccardo Levi may publish in the future.
Co-authorship network of co-authors of Riccardo Levi
This figure shows the co-authorship network connecting the top 25 collaborators of Riccardo Levi. A scholar is included among the top collaborators of Riccardo Levi 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 Levi. Riccardo Levi 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 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 9 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 3 | |
| 10 | 3 | |
| 11 | 12 | |
| 12 | 1 | |
| 13 | 4 | |
| 14 | Association Between BNT162b2 Vaccination and Long COVID After Infections Not Requiring Hospitalization in Health Care Workersbreakdown → | 159 |
| 15 | 70 | |
| 16 | 10 | |
| 17 | 4 | |
| 18 | 25 | |
| 19 | 1 |
About Riccardo Levi
Riccardo Levi is a scholar working on Health Informatics, Infectious Diseases and Radiology, Nuclear Medicine and Imaging, having authored 19 papers that have together received 304 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Medical Imaging and Analysis (5 papers). The work is most often cited by research in Neurology (154 citations), Infectious Diseases (186 citations) and Critical Care and Intensive Care Medicine (29 citations). Riccardo Levi has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Alberto Mantovani, María Rescigno, Elena Azzolini, Chiara Pozzi, Maximiliano Mollura, Michele Lagioia, Riccardo Barbieri, Giovanni Angelotti, João M. C. Sousa and Leo Anthony Celi. Their work appears in journals such as JAMA, Journal of Clinical Investigation and Clinical Infectious Diseases.
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.