Kerstin Ritter
Impact in
- Health Informatics top 2%
- Neurology top 10%
- Brain Tumor Detection and Classification
Papers in
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- Multiple Sclerosis Research Studies 7
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- Machine Learning in Healthcare 6
- AI in cancer detection 3
- Co-authors
- Martin Weygandt (13 shared papers)Fabian Eitel (9 shared papers)John–Dylan Haynes (12 shared papers)Moritz Böhle (2 shared papers)Verena Leupelt (2 shared papers)Knut Mai (2 shared papers)Joachim Spranger (2 shared papers)Friedemann Paul (10 shared papers)
- Journals
- NeuroImage (3 papers)Journal of Neurology (2 papers)Frontiers in Aging Neuroscience (2 papers)Frontiers in Neurology (2 papers)NeuroImage Clinical (2 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Kerstin Ritter
37 papers receiving 868 citations
Peers
Comparison fields: 5 of 110
- Health Informatics 54
- Neurology 87
- Cognitive Neuroscience 194
- Health Information Management 35
- Applied Psychology 35
Countries citing papers authored by Kerstin Ritter
This map shows the geographic impact of Kerstin Ritter'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 Kerstin Ritter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kerstin Ritter more than expected).
Fields of papers citing papers by Kerstin Ritter
This network shows the impact of papers produced by Kerstin Ritter. 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 Kerstin Ritter. The network helps show where Kerstin Ritter may publish in the future.
Co-authors
The 25 scholars most cited alongside Kerstin Ritter, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 173 | |
| 2 | 2013 | 111 | |
| 3 | 2015 | 88 | |
| 4 | 2015 | 57 | |
| 5 | 2006 | 56 | |
| 6 | 2011 | 40 | |
| 7 | 2023 | 39 | |
| 8 | 2012 | 39 | |
| 9 | 2021 | 33 | |
| 10 | 2022 | 30 | |
| 11 | 2016 | 24 | |
| 12 | 2023 | 22 | |
| 13 | 2024 | 18 | |
| 14 | 2023 | 18 | |
| 15 | 2021 | 17 | |
| 16 | 2023 | 14 | |
| 17 | 2023 | 13 | |
| 18 | 2023 | 12 | |
| 19 | 2021 | 12 | |
| 20 | 2016 | 9 |
About Kerstin Ritter
Kerstin Ritter is a scholar working on Pathology and Forensic Medicine, Artificial Intelligence, Cognitive Neuroscience, Psychiatry and Mental health and Radiology, Nuclear Medicine and Imaging, having authored 38 papers that have together received 880 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (7 papers), Functional Brain Connectivity Studies (7 papers), Machine Learning in Healthcare (6 papers), Dementia and Cognitive Impairment Research (5 papers), Advanced Neuroimaging Techniques and Applications (4 papers), Health, Environment, Cognitive Aging (3 papers), AI in cancer detection (3 papers) and Stress Responses and Cortisol (2 papers). The work is most often cited by research in Health Informatics (54 citations), Neurology (87 citations), Cognitive Neuroscience (194 citations), Health Information Management (35 citations) and Applied Psychology (35 citations). Kerstin Ritter has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Martin Weygandt, Fabian Eitel, John–Dylan Haynes, Moritz Böhle, Verena Leupelt, Knut Mai, Joachim Spranger, Friedemann Paul, Judith Bellmann–Strobl and Yvonne Rothemund. Their work appears in journals such as NeuroImage, Journal of Neurology, Frontiers in Aging Neuroscience, Frontiers in Neurology and NeuroImage Clinical.
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.