Mirjam Facius
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Advanced MRI Techniques and Applications
- Artificial Intelligence top 10%
- AI in cancer detection
Papers in ⓘ
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- Radiomics and Machine Learning in Medical Imaging 7
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- Electrical and Bioimpedance Tomography 9
- Co-authors
- Ansgar Malich (16 shared papers)Werner A. Kaiser (10 shared papers)Christiane Marx (6 shared papers)Marlies Fleck (7 shared papers)Thomas Boehm (6 shared papers)Dorothee Fischer (4 shared papers)Joachim Boettcher (3 shared papers)R. Anderson (6 shared papers)
- Journals
- European Radiology (3 papers)European Journal of Radiology (2 papers)Clinical Radiology (2 papers)Investigative Radiology (1 paper)Radiology (1 paper)
- Partner nations
- GermanySwitzerlandSweden
In The Last Decade
Mirjam Facius
18 papers receiving 437 citations
Peers
Comparison fields: 5 of 50
- Radiology, Nuclear Medicine and Imaging 227
- Artificial Intelligence 160
- Pathology and Forensic Medicine 75
- Oncology 86
- Biomedical Engineering 119
Countries citing papers authored by Mirjam Facius
This map shows the geographic impact of Mirjam Facius'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 Mirjam Facius with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mirjam Facius more than expected).
Fields of papers citing papers by Mirjam Facius
This network shows the impact of papers produced by Mirjam Facius. 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 Mirjam Facius. The network helps show where Mirjam Facius may publish in the future.
Co-authors
The 25 scholars most cited alongside Mirjam Facius, 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 | 2005 | 97 | |
| 2 | 2001 | 56 | |
| 3 | 2001 | 44 | |
| 4 | 2003 | 42 | |
| 5 | 2001 | 39 | |
| 6 | 2007 | 37 | |
| 7 | 2003 | 32 | |
| 8 | 2003 | 25 | |
| 9 | 2005 | 22 | |
| 10 | 2003 | 13 | |
| 11 | 2008 | 12 | |
| 12 | 2009 | 9 | |
| 13 | 2002 | 6 | |
| 14 | 2002 | 6 | |
| 15 | 2003 | 5 | |
| 16 | 2002 | 4 | |
| 17 | 2007 | 4 | |
| 18 | 2005 | 2 |
About Mirjam Facius
Mirjam Facius is a scholar working on Radiology, Nuclear Medicine and Imaging, Electrical and Electronic Engineering, Biomedical Engineering, Artificial Intelligence and Pathology and Forensic Medicine, having authored 18 papers that have together received 455 indexed citations. Recurring topics across this work include Electrical and Bioimpedance Tomography (9 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Microwave Imaging and Scattering Analysis (7 papers), Microfluidic and Bio-sensing Technologies (6 papers), AI in cancer detection (6 papers), Body Composition Measurement Techniques (3 papers), Global Cancer Incidence and Screening (3 papers) and Breast Lesions and Carcinomas (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (227 citations), Artificial Intelligence (160 citations), Pathology and Forensic Medicine (75 citations), Oncology (86 citations) and Biomedical Engineering (119 citations). Mirjam Facius has collaborated with scholars based in Germany, Switzerland and Sweden. Frequent co-authors include Ansgar Malich, Werner A. Kaiser, Christiane Marx, Marlies Fleck, Thomas Boehm, Dorothee Fischer, Joachim Boettcher, R. Anderson, W. A. Kaiser and Dieter Sauner. Their work appears in journals such as European Radiology, European Journal of Radiology, Clinical Radiology, Investigative Radiology and 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.