E.M. Ferdeghini
Impact in
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- Cardiac Imaging and Diagnostics
- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
- Advanced MRI Techniques and Applications
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- Cardiovascular Function and Risk Factors
Papers in
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- Advanced MRI Techniques and Applications 9
- Cardiac Imaging and Diagnostics 7
- COVID-19 diagnosis using AI 2
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- Cardiovascular Function and Risk Factors 5
- Co-authors
- Marco Paterni (6 shared papers)Antonio L’Abbate (8 shared papers)Giuseppe Coppini (3 shared papers)Massimo Miniati (3 shared papers)Simonetta Monti (3 shared papers)A. Distante (6 shared papers)Luigi Landini (5 shared papers)Bruno Pinamonti (3 shared papers)
- Journals
- European Heart Journal (3 papers)Journal of Nephrology (1 paper)Respiration (1 paper)Lipids in Health and Disease (1 paper)Circulation (1 paper)
- Partner nations
- ItalyCzechiaUnited States
In The Last Decade
E.M. Ferdeghini
29 papers receiving 304 citations
Peers
Comparison fields: 5 of 80
- Radiology, Nuclear Medicine and Imaging 150
- Cardiology and Cardiovascular Medicine 95
- Nephrology 18
- Critical Care and Intensive Care Medicine 13
- Health Information Management 11
Countries citing papers authored by E.M. Ferdeghini
This map shows the geographic impact of E.M. Ferdeghini'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 E.M. Ferdeghini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E.M. Ferdeghini more than expected).
Fields of papers citing papers by E.M. Ferdeghini
This network shows the impact of papers produced by E.M. Ferdeghini. 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 E.M. Ferdeghini. The network helps show where E.M. Ferdeghini may publish in the future.
Co-authors
The 25 scholars most cited alongside E.M. Ferdeghini, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1989 | 42 | |
| 2 | 2012 | 32 | |
| 3 | 1991 | 27 | |
| 4 | 2006 | 25 | |
| 5 | 1991 | 22 | |
| 6 | 1996 | 21 | |
| 7 | 1989 | 18 | |
| 8 | 2011 | 17 | |
| 9 | 1998 | 15 | |
| 10 | 2011 | 14 | |
| 11 | 2010 | 12 | |
| 12 | 1993 | 9 | |
| 13 | 2005 | 8 | |
| 14 | 1995 | 7 | |
| 15 | 1990 | 7 | |
| 16 | 1980 | 6 | |
| 17 | 2003 | 5 | |
| 18 | 2021 | 5 | |
| 19 | 2011 | 3 | |
| 20 | 2005 | 3 |
About E.M. Ferdeghini
E.M. Ferdeghini is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Biomedical Engineering and Molecular Biology, having authored 31 papers that have together received 313 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (9 papers), Cardiac Imaging and Diagnostics (7 papers), Cardiovascular Function and Risk Factors (5 papers), Ultrasound and Hyperthermia Applications (5 papers), Lung Cancer Diagnosis and Treatment (3 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (3 papers), Body Composition Measurement Techniques (2 papers) and COVID-19 diagnosis using AI (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (150 citations), Cardiology and Cardiovascular Medicine (95 citations), Nephrology (18 citations), Critical Care and Intensive Care Medicine (13 citations) and Health Information Management (11 citations). E.M. Ferdeghini has collaborated with scholars based in Italy, Czechia and United States. Frequent co-authors include Marco Paterni, Antonio L’Abbate, Giuseppe Coppini, Massimo Miniati, Simonetta Monti, A. Distante, Luigi Landini, Bruno Pinamonti, Fabio Lattanzi and Eugenio Picano. Their work appears in journals such as European Heart Journal, Journal of Nephrology, Respiration, Lipids in Health and Disease and Circulation.
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.