Marcello Orsi
- Radiology, Nuclear Medicine and Imaging
- Infectious Diseases
- Pulmonary and Respiratory Medicine
- Neurology
- Oncology
- Co-authors
- Michaela CellinaGiancarlo OlivaMarta PanzeriPierluigi BaronV. FetoniMassimo VenturiniClaudio LosioStefano Cappio
- Topics
- COVID-19 diagnosis using AI (5 papers)Radiomics and Machine Learning in Medical Imaging (2 papers)Brain Metastases and Treatment (2 papers)
- Cited by
- Health InformaticsCritical Care and Intensive Care MedicineRadiology, Nuclear Medicine and Imaging
- Journals
- American Journal of Tropical Medicine and HygieneBreast Cancer Research and TreatmentJournal of Vascular and Interventional Radiology
- Partner nations
- ItalySwitzerlandUnited Kingdom
In The Last Decade
Marcello Orsi
12 papers receiving 140 citations
Peers
Comparison fields: 5 of 45
- Radiology, Nuclear Medicine and Imaging 79
- Infectious Diseases 32
- Pulmonary and Respiratory Medicine 24
- Neurology 22
- Oncology 21
Countries citing papers authored by Marcello Orsi
This map shows the geographic impact of Marcello Orsi'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 Marcello Orsi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcello Orsi more than expected).
Fields of papers citing papers by Marcello Orsi
This network shows the impact of papers produced by Marcello Orsi. 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 Marcello Orsi. The network helps show where Marcello Orsi may publish in the future.
Co-authorship network of co-authors of Marcello Orsi
This figure shows the co-authorship network connecting the top 25 collaborators of Marcello Orsi. A scholar is included among the top collaborators of Marcello Orsi 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 Marcello Orsi. Marcello Orsi 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 | 7 | |
| 3 | 24 | |
| 4 | 31 | |
| 5 | 27 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 12 | |
| 9 | 1 | |
| 10 | 0 | |
| 11 | 14 | |
| 12 | 1 | |
| 13 | 18 |
About Marcello Orsi
Marcello Orsi is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology and Pulmonary and Respiratory Medicine, having authored 13 papers that have together received 143 indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (5 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Brain Metastases and Treatment (2 papers). The work is most often cited by research in Health Informatics (6 citations), Critical Care and Intensive Care Medicine (20 citations) and Radiology, Nuclear Medicine and Imaging (79 citations). Marcello Orsi has collaborated with scholars based in Italy, Switzerland and United Kingdom. Frequent co-authors include Michaela Cellina, Giancarlo Oliva, Marta Panzeri, Pierluigi Baron, V. Fetoni, Massimo Venturini, Claudio Losio, Stefano Cappio, Lorenzo Pilla and Francesca Ratti. Their work appears in journals such as American Journal of Tropical Medicine and Hygiene, Breast Cancer Research and Treatment and Journal of Vascular and Interventional 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.