Marcus Raudner
Impact in
- Rheumatology top 5%
- Osteoarthritis Treatment and Mechanisms
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- Artificial Intelligence in Healthcare and Education
Papers in
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- Osteoarthritis Treatment and Mechanisms 9
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- Advanced MRI Techniques and Applications 7
- Radiology practices and education 2
- Radiation Dose and Imaging 2
- Radiomics and Machine Learning in Medical Imaging 2
- Co-authors
- Siegfried Trattnig (16 shared papers)Markus M. Schreiner (12 shared papers)Reinhard Windhager (9 shared papers)Michael Weber (7 shared papers)Pavol Szomolányi (6 shared papers)Sebastian Röhrich (4 shared papers)Vladimír Juráš (11 shared papers)Stefan Marlovits (1 shared paper)
In The Last Decade
Marcus Raudner
22 papers receiving 363 citations
Peers
Comparison fields: 5 of 32
- Rheumatology 150
- Health Informatics 15
- Radiology, Nuclear Medicine and Imaging 85
- Orthopedics and Sports Medicine 34
- Pathology and Forensic Medicine 35
Countries citing papers authored by Marcus Raudner
This map shows the geographic impact of Marcus Raudner'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 Marcus Raudner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcus Raudner more than expected).
Fields of papers citing papers by Marcus Raudner
This network shows the impact of papers produced by Marcus Raudner. 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 Marcus Raudner. The network helps show where Marcus Raudner may publish in the future.
Co-authors
The 25 scholars most cited alongside Marcus Raudner, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 141 | |
| 2 | 2020 | 42 | |
| 3 | 2020 | 25 | |
| 4 | 2021 | 23 | |
| 5 | 2023 | 20 | |
| 6 | 2020 | 18 | |
| 7 | 2022 | 17 | |
| 8 | 2020 | 13 | |
| 9 | 2018 | 10 | |
| 10 | 2020 | 10 | |
| 11 | 2022 | 10 | |
| 12 | 2020 | 7 | |
| 13 | 2021 | 7 | |
| 14 | 2021 | 6 | |
| 15 | 2024 | 6 | |
| 16 | 2021 | 5 | |
| 17 | 2019 | 3 | |
| 18 | 2021 | 3 | |
| 19 | 2017 | 1 | |
| 20 | 2024 | 1 |
About Marcus Raudner
Marcus Raudner is a scholar working on Rheumatology, Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine, Health Informatics and Surgery, having authored 26 papers that have together received 371 indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (9 papers), Advanced MRI Techniques and Applications (7 papers), Spine and Intervertebral Disc Pathology (5 papers), Knee injuries and reconstruction techniques (3 papers), Artificial Intelligence in Healthcare and Education (2 papers), Radiology practices and education (2 papers), Radiation Dose and Imaging (2 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Rheumatology (150 citations), Health Informatics (15 citations), Radiology, Nuclear Medicine and Imaging (85 citations), Orthopedics and Sports Medicine (34 citations) and Pathology and Forensic Medicine (35 citations). Marcus Raudner has collaborated with scholars based in Austria, Slovakia and Germany. Frequent co-authors include Siegfried Trattnig, Markus M. Schreiner, Reinhard Windhager, Michael Weber, Pavol Szomolányi, Sebastian Röhrich, Vladimír Juráš, Stefan Marlovits, Giuseppe Filardo and K. Bohndorf. Their work appears in journals such as European Radiology, Cartilage, Investigative Radiology, European Journal of Radiology and Journal of Clinical 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.