Stefania Montemezzi
- Pulmonary and Respiratory Medicine top 2%
- Radiology, Nuclear Medicine and Imaging top 2%
- Artificial Intelligence top 2%
- Pathology and Forensic Medicine top 2%
- Oncology top 5%
- Co-authors
- Francesca CaumoSilvia BrunelliPaola BricoloNehmat HoussamiStefano CiattoMarco PellegriniDaniela BernardiMarvi Valentini
- Topics
- Radiomics and Machine Learning in Medical Imaging (15 papers)MRI in cancer diagnosis (14 papers)AI in cancer detection (12 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingPulmonary and Respiratory MedicinePathology and Forensic Medicine
- Partner nations
- ItalyUnited KingdomAustralia
In The Last Decade
Stefania Montemezzi
78 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Pulmonary and Respiratory Medicine 980
- Radiology, Nuclear Medicine and Imaging 811
- Artificial Intelligence 626
- Pathology and Forensic Medicine 472
- Oncology 470
Countries citing papers authored by Stefania Montemezzi
This map shows the geographic impact of Stefania Montemezzi'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 Stefania Montemezzi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefania Montemezzi more than expected).
Fields of papers citing papers by Stefania Montemezzi
This network shows the impact of papers produced by Stefania Montemezzi. 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 Stefania Montemezzi. The network helps show where Stefania Montemezzi may publish in the future.
Co-authorship network of co-authors of Stefania Montemezzi
This figure shows the co-authorship network connecting the top 25 collaborators of Stefania Montemezzi. A scholar is included among the top collaborators of Stefania Montemezzi 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 Stefania Montemezzi. Stefania Montemezzi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 2 | |
| 8 | 9 | |
| 9 | 14 | |
| 10 | 11 | |
| 11 | 20 | |
| 12 | 10 | |
| 13 | 9 | |
| 14 | 11 | |
| 15 | 7 | |
| 16 | 15 | |
| 17 | 6 | |
| 18 | 66 | |
| 19 | 15 | |
| 20 | 67 |
About Stefania Montemezzi
Stefania Montemezzi is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine, having authored 82 papers that have together received 2.0k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (15 papers), MRI in cancer diagnosis (14 papers) and AI in cancer detection (12 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (811 citations), Pulmonary and Respiratory Medicine (980 citations) and Pathology and Forensic Medicine (472 citations). Stefania Montemezzi has collaborated with scholars based in Italy, United Kingdom and Australia. Frequent co-authors include Francesca Caumo, Silvia Brunelli, Paola Bricolo, Nehmat Houssami, Stefano Ciatto, Marco Pellegrini, Daniela Bernardi, Marvi Valentini, Petra Macaskill and Carmine Fantò. Their work appears in journals such as Annals of Neurology, Radiology and The Lancet Oncology.
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.