Marianne Schell
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- Advanced Neuroimaging Techniques and Applications
- Advanced MRI Techniques and Applications
- Genetics top 10%
- Glioma Diagnosis and Treatment
Papers in
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- Radiomics and Machine Learning in Medical Imaging 8
- MRI in cancer diagnosis 3
- Advanced Neuroimaging Techniques and Applications 2
- Genetics 9
- Glioma Diagnosis and Treatment 9
- Co-authors
- Emiliano Zaccarella (3 shared papers)Angela D. Friederici (3 shared papers)Martin Bendszus (13 shared papers)Philipp Kickingereder (13 shared papers)Gianluca Brugnara (10 shared papers)Wolfgang Wick (9 shared papers)Klaus Maier‐Hein (4 shared papers)Fabian Isensee (3 shared papers)
- Journals
- Neuro-Oncology Advances (4 papers)Neuro-Oncology (3 papers)European Radiology (3 papers)Cortex (1 paper)Scientific Reports (1 paper)
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Marianne Schell
14 papers receiving 585 citations
Marianne Schell's Hit Papers
Peers
Comparison fields: 5 of 70
- Radiology, Nuclear Medicine and Imaging 284
- Genetics 121
- Cognitive Neuroscience 205
- Neurology 83
- Developmental and Educational Psychology 101
Countries citing papers authored by Marianne Schell
This map shows the geographic impact of Marianne Schell'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 Marianne Schell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marianne Schell more than expected).
Fields of papers citing papers by Marianne Schell
This network shows the impact of papers produced by Marianne Schell. 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 Marianne Schell. The network helps show where Marianne Schell may publish in the future.
Co-authors
The 25 scholars most cited alongside Marianne Schell, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Automated brain extraction of multisequence MRI using artificial neural networks Hit paper breakdown → | 2019 | 364 |
| 2 | 2017 | 86 | |
| 3 | 2017 | 78 | |
| 4 | 2023 | 20 | |
| 5 | 2022 | 15 | |
| 6 | 2020 | 9 | |
| 7 | 2023 | 6 | |
| 8 | 2024 | 4 | |
| 9 | 2023 | 4 | |
| 10 | 2022 | 3 | |
| 11 | 2024 | 1 | |
| 12 | 2025 | 1 | |
| 13 | 2024 | 1 | |
| 14 | 2024 | 1 | |
| 15 | 2024 | 0 | |
| 16 | 2025 | 0 |
About Marianne Schell
Marianne Schell is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics, Cognitive Neuroscience, Social Psychology and Pediatrics, Perinatology and Child Health, having authored 16 papers that have together received 593 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (9 papers), Radiomics and Machine Learning in Medical Imaging (8 papers), MRI in cancer diagnosis (3 papers), Neurobiology of Language and Bilingualism (3 papers), Advanced Neuroimaging Techniques and Applications (2 papers), Action Observation and Synchronization (2 papers), Brain Tumor Detection and Classification (2 papers) and Reading and Literacy Development (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (284 citations), Genetics (121 citations), Cognitive Neuroscience (205 citations), Neurology (83 citations) and Developmental and Educational Psychology (101 citations). Marianne Schell has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Emiliano Zaccarella, Angela D. Friederici, Martin Bendszus, Philipp Kickingereder, Gianluca Brugnara, Wolfgang Wick, Klaus Maier‐Hein, Fabian Isensee, Sabine Heiland and David Bonekamp. Their work appears in journals such as Neuro-Oncology Advances, Neuro-Oncology, European Radiology, Cortex and Scientific Reports.
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.