Marco Alì
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
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- Cardiac Imaging and Diagnostics
- Radiomics and Machine Learning in Medical Imaging
- Advanced MRI Techniques and Applications
Papers in
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- Advanced MRI Techniques and Applications 9
- Cardiac Imaging and Diagnostics 7
- Radiomics and Machine Learning in Medical Imaging 7
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- Cardiac, Anesthesia and Surgical Outcomes 2
- Co-authors
- Francesco Sardanelli (30 shared papers)Giovanni Di Leo (12 shared papers)Francesco Secchi (21 shared papers)Luca Maria Sconfienza (4 shared papers)Sergio Papa (18 shared papers)Michaela Cellina (10 shared papers)Deborah Fazzini (14 shared papers)Giovanni Mauri (4 shared papers)
- Journals
- Applied Sciences (5 papers)European Radiology (3 papers)European Radiology Experimental (3 papers)La radiologia medica (3 papers)Medicine (2 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Marco Alì
52 papers receiving 683 citations
Peers
Comparison fields: 5 of 103
- Health Informatics 51
- Radiology, Nuclear Medicine and Imaging 197
- Cardiology and Cardiovascular Medicine 97
- Internal Medicine 13
- Oral Surgery 26
Countries citing papers authored by Marco Alì
This map shows the geographic impact of Marco Alì'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 Marco Alì with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Alì more than expected).
Fields of papers citing papers by Marco Alì
This network shows the impact of papers produced by Marco Alì. 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 Marco Alì. The network helps show where Marco Alì may publish in the future.
Co-authors
The 25 scholars most cited alongside Marco Alì, 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 91 | |
| 2 | 2017 | 76 | |
| 3 | 2020 | 33 | |
| 4 | 2015 | 32 | |
| 5 | 2018 | 32 | |
| 6 | 2023 | 29 | |
| 7 | 2022 | 27 | |
| 8 | 2014 | 24 | |
| 9 | 2020 | 21 | |
| 10 | 2017 | 21 | |
| 11 | 2020 | 19 | |
| 12 | 2020 | 19 | |
| 13 | 2020 | 18 | |
| 14 | 2016 | 17 | |
| 15 | 2021 | 16 | |
| 16 | 2017 | 16 | |
| 17 | 2023 | 15 | |
| 18 | 2018 | 15 | |
| 19 | 2016 | 13 | |
| 20 | 2023 | 12 |
About Marco Alì
Marco Alì is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Biomedical Engineering and Surgery, having authored 58 papers that have together received 690 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (9 papers), Cardiac Imaging and Diagnostics (7 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Advanced X-ray and CT Imaging (4 papers), Artificial Intelligence in Healthcare and Education (4 papers), AI in cancer detection (3 papers), Long-Term Effects of COVID-19 (3 papers) and Cardiac, Anesthesia and Surgical Outcomes (2 papers). The work is most often cited by research in Health Informatics (51 citations), Radiology, Nuclear Medicine and Imaging (197 citations), Cardiology and Cardiovascular Medicine (97 citations), Internal Medicine (13 citations) and Oral Surgery (26 citations). Marco Alì has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Francesco Sardanelli, Giovanni Di Leo, Francesco Secchi, Luca Maria Sconfienza, Sergio Papa, Michaela Cellina, Deborah Fazzini, Giovanni Mauri, Maurizio Cè and Paola Maria Cannaò. Their work appears in journals such as Applied Sciences, European Radiology, European Radiology Experimental, La radiologia medica and 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.