Roberto Arioli
Impact in
- Infectious Diseases top 10%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
Papers in
-
- COVID-19 Clinical Research Studies 5
- SARS-CoV-2 and COVID-19 Research 2
-
- COVID-19 diagnosis using AI 2
- Advanced MRI Techniques and Applications 1
- Co-authors
- Alessandro Carriero (3 shared papers)Zeno Falaschi (2 shared papers)Pietro S. C. Danna (2 shared papers)Alessio Paschè (2 shared papers)Domenico Zagaria (2 shared papers)Ferruccio Aquilini (1 shared paper)Michela Barini (1 shared paper)Stefano Andreoni (1 shared paper)
- Journals
- La radiologia medica (1 paper)Disease Markers (1 paper)European Journal of Radiology (1 paper)Circulation Arrhythmia and Electrophysiology (1 paper)Radiology (1 paper)
- Partner nations
- ItalyUnited States
In The Last Decade
Roberto Arioli
8 papers receiving 328 citations
Peers
Comparison fields: 5 of 56
- Infectious Diseases 143
- Health Informatics 11
- Critical Care and Intensive Care Medicine 19
- Neurology 57
- Radiology, Nuclear Medicine and Imaging 66
Countries citing papers authored by Roberto Arioli
This map shows the geographic impact of Roberto Arioli'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 Roberto Arioli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Arioli more than expected).
Fields of papers citing papers by Roberto Arioli
This network shows the impact of papers produced by Roberto Arioli. 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 Roberto Arioli. The network helps show where Roberto Arioli may publish in the future.
Co-authors
The 19 scholars most cited alongside Roberto Arioli, 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 | 2020 | 100 | |
| 2 | 2021 | 64 | |
| 3 | 2020 | 52 | |
| 4 | 2021 | 32 | |
| 5 | 2021 | 29 | |
| 6 | 2021 | 29 | |
| 7 | 2021 | 21 | |
| 8 | 2018 | 6 |
About Roberto Arioli
Roberto Arioli is a scholar working on Infectious Diseases, Radiology, Nuclear Medicine and Imaging, Critical Care and Intensive Care Medicine, Oncology and Neurology, having authored 8 papers that have together received 333 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (5 papers), COVID-19 and healthcare impacts (2 papers), COVID-19 diagnosis using AI (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Thermal Regulation in Medicine (1 paper), Non-Invasive Vital Sign Monitoring (1 paper), Advanced MRI Techniques and Applications (1 paper) and Long-Term Effects of COVID-19 (1 paper). The work is most often cited by research in Infectious Diseases (143 citations), Health Informatics (11 citations), Critical Care and Intensive Care Medicine (19 citations), Neurology (57 citations) and Radiology, Nuclear Medicine and Imaging (66 citations). Roberto Arioli has collaborated with scholars based in Italy and United States. Frequent co-authors include Alessandro Carriero, Zeno Falaschi, Pietro S. C. Danna, Alessio Paschè, Domenico Zagaria, Ferruccio Aquilini, Michela Barini, Stefano Andreoni, Riccardo Cau and Chiara Daniela Arru. Their work appears in journals such as La radiologia medica, Disease Markers, European Journal of Radiology, Circulation Arrhythmia and Electrophysiology and Radiology.
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.