Giancarlo Oliva
- Radiology, Nuclear Medicine and Imaging top 5%
- Surgery
- Oncology
- Biomedical Engineering
- Artificial Intelligence
- Co-authors
- Michaela CellinaC MartinenghiDaniele GibelliMaurizio CèChiara FloridiGiovanni IrmiciMarta PanzeriMarcello Orsi
- Topics
- Lymphatic System and Diseases (8 papers)COVID-19 diagnosis using AI (8 papers)Diagnosis and Treatment of Venous Diseases (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaAmerican Journal of Tropical Medicine and HygieneJournal of Magnetic Resonance Imaging
- Partner nations
- ItalySwitzerlandUnited States
In The Last Decade
Giancarlo Oliva
49 papers receiving 669 citations
Peers
Comparison fields: 5 of 111
- Radiology, Nuclear Medicine and Imaging 259
- Surgery 189
- Oncology 139
- Biomedical Engineering 92
- Artificial Intelligence 69
Countries citing papers authored by Giancarlo Oliva
This map shows the geographic impact of Giancarlo Oliva'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 Giancarlo Oliva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giancarlo Oliva more than expected).
Fields of papers citing papers by Giancarlo Oliva
This network shows the impact of papers produced by Giancarlo Oliva. 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 Giancarlo Oliva. The network helps show where Giancarlo Oliva may publish in the future.
Co-authorship network of co-authors of Giancarlo Oliva
This figure shows the co-authorship network connecting the top 25 collaborators of Giancarlo Oliva. A scholar is included among the top collaborators of Giancarlo Oliva 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 Giancarlo Oliva. Giancarlo Oliva is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 10 | |
| 3 | 72 | |
| 4 | 18 | |
| 5 | 30 | |
| 6 | 55 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 42 | |
| 11 | 18 | |
| 12 | 1 | |
| 13 | 4 | |
| 14 | 24 | |
| 15 | 8 | |
| 16 | 7 | |
| 17 | 24 | |
| 18 | 27 | |
| 19 | 11 | |
| 20 | 20 |
About Giancarlo Oliva
Giancarlo Oliva is a scholar working on Otorhinolaryngology, Radiology, Nuclear Medicine and Imaging and Health Informatics, having authored 52 papers that have together received 678 indexed citations. Recurring topics across this work include Lymphatic System and Diseases (8 papers), COVID-19 diagnosis using AI (8 papers) and Diagnosis and Treatment of Venous Diseases (6 papers). The work is most often cited by research in Health Informatics (67 citations), Otorhinolaryngology (54 citations) and Radiology, Nuclear Medicine and Imaging (259 citations). Giancarlo Oliva has collaborated with scholars based in Italy, Switzerland and United States. Frequent co-authors include Michaela Cellina, C Martinenghi, Daniele Gibelli, Maurizio Cè, Chiara Floridi, Giovanni Irmici, Marta Panzeri, Marcello Orsi, Deborah Fazzini and Sergio Papa. Their work appears in journals such as SHILAP Revista de lepidopterología, American Journal of Tropical Medicine and Hygiene and Journal of Magnetic Resonance Imaging.
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.