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
- Anomaly Detection Techniques and Applications 1
- AI in cancer detection 1
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- Privacy, Security, and Data Protection 1
- Co-authors
- Friederike Jungmann (2 shared papers)Georgios Kaissis (3 shared papers)Sebastian Ziegelmayer (1 shared paper)Daniel Sasse (1 shared paper)Marcus R. Makowski (1 shared paper)Daniel Rueckert (2 shared papers)Rickmer Braren (1 shared paper)Dmitrii Usynin (1 shared paper)
- Journals
- EBioMedicine (1 paper)PLoS ONE (1 paper)DOAJ (DOAJ: Directory of Open Access Journals) (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 4
- Neurology 4
- Radiology, Nuclear Medicine and Imaging 8
- Artificial Intelligence 12
- 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 13 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, Sociology and Political Science, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Electrical and Electronic Engineering, having authored 3 papers that have together received 18 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (1 paper), Anomaly Detection Techniques and Applications (1 paper), COVID-19 diagnosis using AI (1 paper), AI in cancer detection (1 paper), Advanced Neural Network Applications (1 paper), Privacy, Security, and Data Protection (1 paper) and Wireless Communication Security Techniques (1 paper). The work is most often cited by research in Health Informatics (4 citations), Neurology (4 citations), Radiology, Nuclear Medicine and Imaging (8 citations), Artificial Intelligence (12 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 Friederike Jungmann, Georgios Kaissis, Sebastian Ziegelmayer, Daniel Sasse, Marcus R. Makowski, Daniel Rueckert, Rickmer Braren, Dmitrii Usynin, Alexander Ziller and Ruth Müller. Their work appears in journals such as EBioMedicine, PLoS ONE and DOAJ (DOAJ: Directory of Open Access Journals).
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.