Tim Rädsch
Impact in
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- Artificial Intelligence in Healthcare and Education
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- Cell Image Analysis Techniques
- Advanced Fluorescence Microscopy Techniques
Papers in
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- Machine Learning and Data Classification 1
- AI in cancer detection 1
- Data Stream Mining Techniques 1
- Explainable Artificial Intelligence (XAI) 1
- Anomaly Detection Techniques and Applications 1
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- Artificial Intelligence in Healthcare and Education 2
- Co-authors
- Annika Reinke (1 shared paper)Lena Maier‐Hein (1 shared paper)Ali Emre Kavur (1 shared paper)Nicholas Schreck (1 shared paper)Vivienn Weru (1 shared paper)Minu D. Tizabi (1 shared paper)Tobias Roß (1 shared paper)Annette Kopp‐Schneider (1 shared paper)
- Journals
- Journal of the Association for Information Systems (2 papers)Nature Machine Intelligence (1 paper)
- Partner nations
- GermanyNew Zealand
In The Last Decade
Tim Rädsch
3 papers receiving 47 citations
Peers
Comparison fields: 5 of 36
- Health Informatics 8
- Biophysics 6
- Artificial Intelligence 22
- Radiology, Nuclear Medicine and Imaging 12
- Ecological Modeling 2
Countries citing papers authored by Tim Rädsch
This map shows the geographic impact of Tim Rädsch'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 Tim Rädsch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Rädsch more than expected).
Fields of papers citing papers by Tim Rädsch
This network shows the impact of papers produced by Tim Rädsch. 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 Tim Rädsch. The network helps show where Tim Rädsch may publish in the future.
Co-authors
The 11 scholars most cited alongside Tim Rädsch, 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 Tim Rädsch
Tim Rädsch is a scholar working on Artificial Intelligence, Health Informatics, Radiology, Nuclear Medicine and Imaging, Infectious Diseases and Organic Chemistry, having authored 3 papers that have together received 47 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Machine Learning and Data Classification (1 paper), AI in cancer detection (1 paper), Data Stream Mining Techniques (1 paper), Explainable Artificial Intelligence (XAI) (1 paper) and Anomaly Detection Techniques and Applications (1 paper). The work is most often cited by research in Health Informatics (8 citations), Biophysics (6 citations), Artificial Intelligence (22 citations), Radiology, Nuclear Medicine and Imaging (12 citations) and Ecological Modeling (2 citations). Tim Rädsch has collaborated with scholars based in Germany and New Zealand. Frequent co-authors include Annika Reinke, Lena Maier‐Hein, Ali Emre Kavur, Nicholas Schreck, Vivienn Weru, Minu D. Tizabi, Tobias Roß, Annette Kopp‐Schneider, Ali Sunyaev and Scott Thiebes. Their work appears in journals such as Journal of the Association for Information Systems and Nature Machine Intelligence.
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.