Heidi Daniel
Impact in
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- MRI in cancer diagnosis
- Radiomics and Machine Learning in Medical Imaging
- Advanced Neuroimaging Techniques and Applications
- Advanced MRI Techniques and Applications
- Medical Imaging Techniques and Applications
Papers in
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- MRI in cancer diagnosis 10
- Advanced Neuroimaging Techniques and Applications 9
- Radiomics and Machine Learning in Medical Imaging 6
- Advanced MRI Techniques and Applications 4
- Medical Imaging Techniques and Applications 1
- Co-authors
- Sebastian Bickelhaupt (10 shared papers)Frederik B. Laun (10 shared papers)Wolfgang Lederer (10 shared papers)Stefan Delorme (8 shared papers)Heinz-Peter Schlemmer (4 shared papers)Daniel Paech (4 shared papers)Klaus Maier‐Hein (4 shared papers)Anne Stieber (5 shared papers)
In The Last Decade
Heidi Daniel
10 papers receiving 381 citations
Peers
Comparison fields: 5 of 34
- Radiology, Nuclear Medicine and Imaging 365
- Health Informatics 6
- Artificial Intelligence 86
- Pathology and Forensic Medicine 27
- Oncology 27
Countries citing papers authored by Heidi Daniel
This map shows the geographic impact of Heidi Daniel'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 Heidi Daniel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heidi Daniel more than expected).
Fields of papers citing papers by Heidi Daniel
This network shows the impact of papers produced by Heidi Daniel. 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 Heidi Daniel. The network helps show where Heidi Daniel may publish in the future.
Co-authors
The 25 scholars most cited alongside Heidi Daniel, 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 | 2017 | 112 | |
| 2 | 2015 | 99 | |
| 3 | 2018 | 81 | |
| 4 | 2016 | 33 | |
| 5 | 2017 | 29 | |
| 6 | 2017 | 15 | |
| 7 | 2016 | 5 | |
| 8 | 2020 | 5 | |
| 9 | 2019 | 3 | |
| 10 | 2019 | 1 |
About Heidi Daniel
Heidi Daniel is a scholar working on Radiology, Nuclear Medicine and Imaging, Infectious Diseases, Organic Chemistry, Surgery and Communication, having authored 10 papers that have together received 383 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (10 papers), Advanced Neuroimaging Techniques and Applications (9 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Advanced MRI Techniques and Applications (4 papers) and Medical Imaging Techniques and Applications (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (365 citations), Health Informatics (6 citations), Artificial Intelligence (86 citations), Pathology and Forensic Medicine (27 citations) and Oncology (27 citations). Heidi Daniel has collaborated with scholars based in Germany, France and China. Frequent co-authors include Sebastian Bickelhaupt, Frederik B. Laun, Wolfgang Lederer, Stefan Delorme, Heinz-Peter Schlemmer, Daniel Paech, Klaus Maier‐Hein, Anne Stieber, Heinz‐Peter Schlemmer and Tristan Anselm Kuder. Their work appears in journals such as Radiology, Scientific Reports, Clinical Radiology, RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren and Journal of Computer Assisted Tomography.
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.