Moritz Knolle
Impact in
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- Artificial Intelligence in Healthcare and Education
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- Brain Tumor Detection and Classification
Papers in
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- Privacy-Preserving Technologies in Data 1
- AI in cancer detection 1
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- COVID-19 diagnosis using AI 2
- Radiology practices and education 1
- Co-authors
- Daniel Rueckert (2 shared papers)Marcus R. Makowski (1 shared paper)Georgios Kaissis (3 shared papers)Rickmer Braren (1 shared paper)Friederike Jungmann (2 shared papers)Sebastian Ziegelmayer (1 shared paper)Daniel Rückert (1 shared paper)Alexander Ziller (1 shared paper)
- Journals
- PLoS ONE (1 paper)EBioMedicine (1 paper)mediaTUM (Technical University of Munich) (1 paper)
- Partner nations
- GermanyUnited Kingdom
In The Last Decade
Moritz Knolle
3 papers receiving 18 citations
Peers
Comparison fields: 5 of 13
- Health Informatics 5
- Neurology 4
- Artificial Intelligence 13
- Radiology, Nuclear Medicine and Imaging 9
- Computer Vision and Pattern Recognition 7
Countries citing papers authored by Moritz Knolle
This map shows the geographic impact of Moritz Knolle'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 Moritz Knolle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Moritz Knolle more than expected).
Fields of papers citing papers by Moritz Knolle
This network shows the impact of papers produced by Moritz Knolle. 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 Moritz Knolle. The network helps show where Moritz Knolle may publish in the future.
Co-authors
The 12 scholars most cited alongside Moritz Knolle, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
About Moritz Knolle
Moritz Knolle is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Sociology and Political Science, Computer Vision and Pattern Recognition and Health Informatics, having authored 3 papers that have together received 18 indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (2 papers), Privacy-Preserving Technologies in Data (1 paper), Privacy, Security, and Data Protection (1 paper), Artificial Intelligence in Healthcare and Education (1 paper), Wireless Communication Security Techniques (1 paper), Radiology practices and education (1 paper), Advanced Neural Network Applications (1 paper) and AI in cancer detection (1 paper). The work is most often cited by research in Health Informatics (5 citations), Neurology (4 citations), Artificial Intelligence (13 citations), Radiology, Nuclear Medicine and Imaging (9 citations) and Computer Vision and Pattern Recognition (7 citations). Moritz Knolle has collaborated with scholars based in Germany and United Kingdom. Frequent co-authors include Daniel Rueckert, Marcus R. Makowski, Georgios Kaissis, Rickmer Braren, Friederike Jungmann, Sebastian Ziegelmayer, Daniel Rückert, Alexander Ziller, Dmitrii Usynin and Alena Buyx. Their work appears in journals such as PLoS ONE, EBioMedicine and mediaTUM (Technical University of Munich).
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.