Fabian Eitel
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Psychiatry and Mental health top 10%
- Dementia and Cognitive Impairment Research
Papers in
-
- Explainable Artificial Intelligence (XAI) 6
- Domain Adaptation and Few-Shot Learning 1
-
- Multiple Sclerosis Research Studies 4
- Co-authors
- Kerstin Ritter (14 shared papers)Martin Weygandt (7 shared papers)Moritz Böhle (2 shared papers)John–Dylan Haynes (3 shared papers)Alzheimer’s Disease Neuroimaging Initiative (3 shared papers)Friedemann Paul (5 shared papers)René M. Gieß (1 shared paper)Judith Bellmann–Strobl (3 shared papers)
- Journals
- NeuroImage Clinical (1 paper)Frontiers in Aging Neuroscience (1 paper)iScience (1 paper)Alzheimer s Research & Therapy (1 paper)Frontiers in Neurology (1 paper)
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Fabian Eitel
14 papers receiving 567 citations
Peers
Comparison fields: 5 of 59
- Health Informatics 41
- Psychiatry and Mental health 182
- Artificial Intelligence 244
- Pathology and Forensic Medicine 86
- Cognitive Neuroscience 69
Countries citing papers authored by Fabian Eitel
This map shows the geographic impact of Fabian Eitel'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 Fabian Eitel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabian Eitel more than expected).
Fields of papers citing papers by Fabian Eitel
This network shows the impact of papers produced by Fabian Eitel. 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 Fabian Eitel. The network helps show where Fabian Eitel may publish in the future.
Co-authors
The 23 scholars most cited alongside Fabian Eitel, 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 | 2019 | 216 | |
| 2 | 2019 | 139 | |
| 3 | 2018 | 73 | |
| 4 | 2019 | 54 | |
| 5 | 2021 | 40 | |
| 6 | 2023 | 17 | |
| 7 | 2024 | 9 | |
| 8 | 2022 | 7 | |
| 9 | 2021 | 6 | |
| 10 | 2023 | 5 | |
| 11 | 2019 | 4 | |
| 12 | 2021 | 4 | |
| 13 | Visualizing evidence for Alzheimer's disease in deep neural networks trained on structural MRI data | 2019 | 3 |
| 14 | 2020 | 3 | |
| 15 | 2019 | 0 |
About Fabian Eitel
Fabian Eitel is a scholar working on Artificial Intelligence, Pathology and Forensic Medicine, Psychiatry and Mental health, Cognitive Neuroscience and Computer Vision and Pattern Recognition, having authored 15 papers that have together received 580 indexed citations. Recurring topics across this work include Explainable Artificial Intelligence (XAI) (6 papers), Multiple Sclerosis Research Studies (4 papers), Functional Brain Connectivity Studies (3 papers), Dementia and Cognitive Impairment Research (3 papers), Medical Image Segmentation Techniques (2 papers), Brain Tumor Detection and Classification (1 paper), Advanced Neural Network Applications (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). The work is most often cited by research in Health Informatics (41 citations), Psychiatry and Mental health (182 citations), Artificial Intelligence (244 citations), Pathology and Forensic Medicine (86 citations) and Cognitive Neuroscience (69 citations). Fabian Eitel has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Kerstin Ritter, Martin Weygandt, Moritz Böhle, John–Dylan Haynes, Alzheimer’s Disease Neuroimaging Initiative, Friedemann Paul, René M. Gieß, Judith Bellmann–Strobl, Alexander Ulrich Brandt and Joseph Kuchling. Their work appears in journals such as NeuroImage Clinical, Frontiers in Aging Neuroscience, iScience, Alzheimer s Research & Therapy and Frontiers in Neurology.
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.