Magda Marcon
- Health Informatics top 1%
-
- Radiomics and Machine Learning in Medical Imaging 16
- MRI in cancer diagnosis 13
- Medical Imaging Techniques and Applications 9
- Radiation Dose and Imaging 8
- Advanced MRI Techniques and Applications 8
- Artificial Intelligence top 2%
- AI in cancer detection 11
- Pathology and Forensic Medicine top 10%
- Breast Lesions and Carcinomas 9
- Orthopedics and Sports Medicine top 10%
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- Digital Radiography and Breast Imaging 18
- Co-authors
- Andreas BossAnton S. BeckerSoleen GhafoorThomas FrauenfelderMoritz C. WurnigErika J. UlbrichMichael A. FischerDaniel Nanz
- Journals
- European Radiology (8 papers)Investigative Radiology (8 papers)European Journal of Radiology (5 papers)
- Partner nations
- SwitzerlandItalyGermany
In The Last Decade
Magda Marcon
59 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Health Informatics 111
- Radiology, Nuclear Medicine and Imaging 882
- Artificial Intelligence 524
- Pathology and Forensic Medicine 196
- Orthopedics and Sports Medicine 76
Countries citing papers authored by Magda Marcon
This map shows the geographic impact of Magda Marcon'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 Magda Marcon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Magda Marcon more than expected).
Fields of papers citing papers by Magda Marcon
This network shows the impact of papers produced by Magda Marcon. 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 Magda Marcon. The network helps show where Magda Marcon may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Magda Marcon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 14 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 4 | |
| 6 | 2020 | 21 | |
| 7 | 2020 | 17 | |
| 8 | 2019 | 11 | |
| 9 | 2019 | 26 | |
| 10 | 2019 | 19 | |
| 11 | 2018 | 6 | |
| 12 | 2018 | 35 | |
| 13 | 2018 | 22 | |
| 14 | 2017 | 8 | |
| 15 | 2016 | 5 | |
| 16 | 2016 | 5 | |
| 17 | 2015 | 204 | |
| 18 | 2015 | 17 | |
| 19 | 2014 | 6 | |
| 20 | 2014 | 31 |
About Magda Marcon
Magda Marcon is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine, Orthopedics and Sports Medicine and Cancer Research, having authored 63 papers that have together received 1.5k indexed citations. Recurring topics across this work include Digital Radiography and Breast Imaging (18 papers), Radiomics and Machine Learning in Medical Imaging (16 papers), MRI in cancer diagnosis (13 papers), AI in cancer detection (11 papers), Medical Imaging Techniques and Applications (9 papers), Breast Lesions and Carcinomas (9 papers), Radiation Dose and Imaging (8 papers) and Advanced MRI Techniques and Applications (8 papers). The work is most often cited by research in Health Informatics (111 citations), Radiology, Nuclear Medicine and Imaging (882 citations), Artificial Intelligence (524 citations), Pathology and Forensic Medicine (196 citations) and Orthopedics and Sports Medicine (76 citations). Magda Marcon has collaborated with scholars based in Switzerland, Italy and Germany. Frequent co-authors include Andreas Boss, Anton S. Becker, Soleen Ghafoor, Thomas Frauenfelder, Moritz C. Wurnig, Erika J. Ulbrich, Michael A. Fischer, Daniel Nanz, Nicole Berger and Alexander Ciritsis. Their work appears in journals such as European Radiology, Investigative Radiology, European Journal of Radiology, Medicine and Skeletal Radiology.
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.