L.N. Mazzoni
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- COVID-19 diagnosis using AI
- Advanced MRI Techniques and Applications
- Advanced Neuroimaging Techniques and Applications
Papers in
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- MRI in cancer diagnosis 9
- Radiation Dose and Imaging 6
- Medical Imaging Techniques and Applications 3
- Advances in Oncology and Radiotherapy 3
- Radiomics and Machine Learning in Medical Imaging 3
- Advanced MRI Techniques and Applications 3
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- Advanced X-ray and CT Imaging 4
- Co-authors
- S. Busoni (11 shared papers)Stefano Colagrande (8 shared papers)Vittorio Miele (6 shared papers)Edoardo Cavigli (5 shared papers)Diletta Cozzi (5 shared papers)Giacomo Belli (8 shared papers)Silvia Lucarini (2 shared papers)Marco Albanesi (3 shared papers)
In The Last Decade
L.N. Mazzoni
37 papers receiving 792 citations
Peers
Comparison fields: 5 of 89
- Radiology, Nuclear Medicine and Imaging 406
- Critical Care and Intensive Care Medicine 29
- Health Informatics 8
- Hepatology 36
- Infectious Diseases 75
Countries citing papers authored by L.N. Mazzoni
This map shows the geographic impact of L.N. Mazzoni'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 L.N. Mazzoni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L.N. Mazzoni more than expected).
Fields of papers citing papers by L.N. Mazzoni
This network shows the impact of papers produced by L.N. Mazzoni. 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 L.N. Mazzoni. The network helps show where L.N. Mazzoni may publish in the future.
Co-authors
The 25 scholars most cited alongside L.N. Mazzoni, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 195 | |
| 2 | 2012 | 56 | |
| 3 | 2010 | 56 | |
| 4 | 2012 | 39 | |
| 5 | 2022 | 34 | |
| 6 | 2013 | 27 | |
| 7 | 2016 | 26 | |
| 8 | 2009 | 25 | |
| 9 | 2021 | 23 | |
| 10 | 2012 | 22 | |
| 11 | 2016 | 22 | |
| 12 | 2010 | 21 | |
| 13 | 2015 | 19 | |
| 14 | 2020 | 18 | |
| 15 | 2011 | 18 | |
| 16 | 2017 | 18 | |
| 17 | 2015 | 15 | |
| 18 | 2011 | 15 | |
| 19 | 2006 | 15 | |
| 20 | 2023 | 14 |
About L.N. Mazzoni
L.N. Mazzoni is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Radiation, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 40 papers that have together received 805 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (9 papers), Radiation Dose and Imaging (6 papers), Advanced X-ray and CT Imaging (4 papers), Advanced Radiotherapy Techniques (3 papers), Medical Imaging Techniques and Applications (3 papers), Advances in Oncology and Radiotherapy (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Advanced MRI Techniques and Applications (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (406 citations), Critical Care and Intensive Care Medicine (29 citations), Health Informatics (8 citations), Hepatology (36 citations) and Infectious Diseases (75 citations). L.N. Mazzoni has collaborated with scholars based in Italy, Ireland and Romania. Frequent co-authors include S. Busoni, Stefano Colagrande, Vittorio Miele, Edoardo Cavigli, Diletta Cozzi, Giacomo Belli, Silvia Lucarini, Marco Albanesi, Chiara Moroni and Silvia Luvarà. Their work appears in journals such as La radiologia medica, Physica Medica, Journal of Magnetic Resonance Imaging, Journal of Computer Assisted Tomography and Concepts in Magnetic Resonance Part A.
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.