Giovanni Angelotti
- Radiology, Nuclear Medicine and Imaging
- Infectious Diseases
- Epidemiology
- Pulmonary and Respiratory Medicine
- Artificial Intelligence
- Co-authors
- Victor SavevskiLetterio S. PolitiPierandrea MorandiniRiccardo MugliaEzio LanzaLuca BalzariniMaurizio CecconiMassimiliano Greco
- Topics
- COVID-19 Clinical Research Studies (5 papers)Machine Learning in Healthcare (4 papers)COVID-19 diagnosis using AI (3 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Giovanni Angelotti
17 papers receiving 174 citations
Peers
Comparison fields: 5 of 59
- Radiology, Nuclear Medicine and Imaging 91
- Infectious Diseases 58
- Epidemiology 43
- Pulmonary and Respiratory Medicine 36
- Artificial Intelligence 28
Countries citing papers authored by Giovanni Angelotti
This map shows the geographic impact of Giovanni Angelotti'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 Giovanni Angelotti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giovanni Angelotti more than expected).
Fields of papers citing papers by Giovanni Angelotti
This network shows the impact of papers produced by Giovanni Angelotti. 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 Giovanni Angelotti. The network helps show where Giovanni Angelotti may publish in the future.
Co-authorship network of co-authors of Giovanni Angelotti
This figure shows the co-authorship network connecting the top 25 collaborators of Giovanni Angelotti. A scholar is included among the top collaborators of Giovanni Angelotti 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 Giovanni Angelotti. Giovanni Angelotti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 12 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 12 | |
| 7 | 5 | |
| 8 | 8 | |
| 9 | 8 | |
| 10 | 4 | |
| 11 | 10 | |
| 12 | 8 | |
| 13 | 2 | |
| 14 | 84 | |
| 15 | 7 | |
| 16 | 1 | |
| 17 | [Postoperative analgesia with peridural morphine. Comparative study in thoracic and abdominal surgery]. | 1 |
About Giovanni Angelotti
Giovanni Angelotti is a scholar working on Health Informatics, Anesthesiology and Pain Medicine and Infectious Diseases, having authored 17 papers that have together received 174 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (5 papers), Machine Learning in Healthcare (4 papers) and COVID-19 diagnosis using AI (3 papers). The work is most often cited by research in Health Informatics (20 citations), Radiology, Nuclear Medicine and Imaging (91 citations) and Infectious Diseases (58 citations). Giovanni Angelotti has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Victor Savevski, Letterio S. Politi, Pierandrea Morandini, Riccardo Muglia, Ezio Lanza, Luca Balzarini, Maurizio Cecconi, Massimiliano Greco, Riccardo Levi and Alessio Aghemo. Their work appears in journals such as European Radiology, Applied Sciences and Viruses.
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.