Oliver Eidel
Impact in
- Genetics top 2%
- Glioma Diagnosis and Treatment
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- Radiomics and Machine Learning in Medical Imaging
- Advanced MRI Techniques and Applications
- MRI in cancer diagnosis
- Medical Imaging Techniques and Applications
Papers in
- Genetics 7
- Glioma Diagnosis and Treatment 7
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- Radiomics and Machine Learning in Medical Imaging 2
- MRI in cancer diagnosis 1
- Medical Imaging Techniques and Applications 1
- Co-authors
- Martin Bendszus (10 shared papers)Wolfgang Wick (10 shared papers)Alexander Radbruch (10 shared papers)Philipp Kickingereder (9 shared papers)Sina Burth (9 shared papers)Heinz-Peter Schlemmer (8 shared papers)Pascal J. Kieslich (3 shared papers)David Bonekamp (4 shared papers)
In The Last Decade
Oliver Eidel
10 papers receiving 1.4k citations
Oliver Eidel's Hit Papers
Peers
Comparison fields: 5 of 72
- Genetics 456
- Radiology, Nuclear Medicine and Imaging 713
- Health Informatics 24
- Neurology 62
- Materials Chemistry 311
Countries citing papers authored by Oliver Eidel
This map shows the geographic impact of Oliver Eidel'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 Oliver Eidel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Oliver Eidel more than expected).
Fields of papers citing papers by Oliver Eidel
This network shows the impact of papers produced by Oliver Eidel. 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 Oliver Eidel. The network helps show where Oliver Eidel may publish in the future.
Co-authors
The 25 scholars most cited alongside Oliver Eidel, 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 | Gadolinium Retention in the Dentate Nucleus and Globus Pallidus Is Dependent on the Class of Contrast Agent Hit paper breakdown → | 2015 | 473 |
| 2 | Radiomic Profiling of Glioblastoma: Identifying an Imaging Predictor of Patient Survival with Improved Performance over Established Clinical and Radiologic Risk Models Hit paper breakdown → | 2016 | 362 |
| 3 | 2016 | 257 | |
| 4 | 2017 | 124 | |
| 5 | 2016 | 39 | |
| 6 | 2015 | 38 | |
| 7 | 2016 | 37 | |
| 8 | 2016 | 37 | |
| 9 | 2014 | 27 | |
| 10 | 2016 | 4 |
About Oliver Eidel
Oliver Eidel is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Cancer Research and Materials Chemistry, having authored 10 papers that have together received 1.4k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (7 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Lanthanide and Transition Metal Complexes (2 papers), MRI in cancer diagnosis (1 paper), Sarcoma Diagnosis and Treatment (1 paper), Cancer, Hypoxia, and Metabolism (1 paper), Medical Imaging Techniques and Applications (1 paper) and Cerebrovascular and Carotid Artery Diseases (1 paper). The work is most often cited by research in Genetics (456 citations), Radiology, Nuclear Medicine and Imaging (713 citations), Health Informatics (24 citations), Neurology (62 citations) and Materials Chemistry (311 citations). Oliver Eidel has collaborated with scholars based in Germany, Austria and Denmark. Frequent co-authors include Martin Bendszus, Wolfgang Wick, Alexander Radbruch, Philipp Kickingereder, Sina Burth, Heinz-Peter Schlemmer, Pascal J. Kieslich, David Bonekamp, Antje Wick and Sabine Heiland. Their work appears in journals such as PLoS ONE, Radiology, Neuro-Oncology, BMC Neurology and Journal of Cerebral Blood Flow & Metabolism.
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.