Andrea Arieno
- Pulmonary and Respiratory Medicine top 10%
- Artificial Intelligence top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Oncology
- Pathology and Forensic Medicine
- Co-authors
- Stamatia DestounisRenee MorganPosy SeifertLisa JohnstonRalph HighnamPhilip N. MurphyDavid L. ConoverMelissa N. Skolny
- Topics
- Digital Radiography and Breast Imaging (16 papers)AI in cancer detection (13 papers)Global Cancer Incidence and Screening (10 papers)
- Cited by
- Health InformaticsRadiology, Nuclear Medicine and ImagingPulmonary and Respiratory Medicine
- Partner nations
- United KingdomUnited StatesNew Zealand
In The Last Decade
Andrea Arieno
28 papers receiving 456 citations
Peers
Comparison fields: 5 of 46
- Pulmonary and Respiratory Medicine 270
- Artificial Intelligence 238
- Radiology, Nuclear Medicine and Imaging 219
- Oncology 158
- Pathology and Forensic Medicine 109
Countries citing papers authored by Andrea Arieno
This map shows the geographic impact of Andrea Arieno'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 Andrea Arieno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrea Arieno more than expected).
Fields of papers citing papers by Andrea Arieno
This network shows the impact of papers produced by Andrea Arieno. 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 Andrea Arieno. The network helps show where Andrea Arieno may publish in the future.
Co-authorship network of co-authors of Andrea Arieno
This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Arieno. A scholar is included among the top collaborators of Andrea Arieno 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 Andrea Arieno. Andrea Arieno is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 6 | |
| 3 | 34 | |
| 4 | 30 | |
| 5 | 14 | |
| 6 | 2 | |
| 7 | 11 | |
| 8 | 38 | |
| 9 | 4 | |
| 10 | 35 | |
| 11 | 28 | |
| 12 | 15 | |
| 13 | 19 | |
| 14 | 18 | |
| 15 | 2 | |
| 16 | 11 | |
| 17 | 8 | |
| 18 | 2 | |
| 19 | 6 | |
| 20 | 35 |
About Andrea Arieno
Andrea Arieno is a scholar working on Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 28 papers that have together received 476 indexed citations. Recurring topics across this work include Digital Radiography and Breast Imaging (16 papers), AI in cancer detection (13 papers) and Global Cancer Incidence and Screening (10 papers). The work is most often cited by research in Health Informatics (14 citations), Radiology, Nuclear Medicine and Imaging (219 citations) and Pulmonary and Respiratory Medicine (270 citations). Andrea Arieno has collaborated with scholars based in United Kingdom, United States and New Zealand. Frequent co-authors include Stamatia Destounis, Renee Morgan, Posy Seifert, Lisa Johnston, Ralph Highnam, Philip N. Murphy, David L. Conover, Melissa N. Skolny, Yan Zhang and David A. Cavanaugh. Their work appears in journals such as American Journal of Roentgenology, Academic Radiology and Journal of Ultrasound in Medicine.
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.