Rachel Ger
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- MRI in cancer diagnosis
- Health Informatics top 10%
Papers in
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- Radiomics and Machine Learning in Medical Imaging 18
- Medical Imaging Techniques and Applications 12
- MRI in cancer diagnosis 8
- Radiation Dose and Imaging 4
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- Radiation Therapy and Dosimetry 12
- Co-authors
- Laurence E. Court (23 shared papers)Dennis Mackin (13 shared papers)Jinzhong Yang (10 shared papers)Rick R. Layman (7 shared papers)A. Kyle Jones (4 shared papers)Clifton D. Fuller (13 shared papers)Shouhao Zhou (8 shared papers)Rebecca M. Howell (9 shared papers)
- Journals
- Medical Physics (10 papers)Journal of Applied Clinical Medical Physics (5 papers)Scientific Reports (4 papers)Cancers (3 papers)PLoS ONE (2 papers)
- Partner nations
- United StatesNetherlandsEgypt
In The Last Decade
Rachel Ger
40 papers receiving 658 citations
Peers
Comparison fields: 5 of 48
- Radiology, Nuclear Medicine and Imaging 466
- Health Informatics 17
- Radiation 111
- Otorhinolaryngology 24
- Pulmonary and Respiratory Medicine 140
Countries citing papers authored by Rachel Ger
This map shows the geographic impact of Rachel Ger'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 Rachel Ger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rachel Ger more than expected).
Fields of papers citing papers by Rachel Ger
This network shows the impact of papers produced by Rachel Ger. 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 Rachel Ger. The network helps show where Rachel Ger may publish in the future.
Co-authors
The 25 scholars most cited alongside Rachel Ger, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 93 | |
| 2 | 2018 | 84 | |
| 3 | 2021 | 68 | |
| 4 | 2019 | 53 | |
| 5 | 2021 | 33 | |
| 6 | 2021 | 30 | |
| 7 | 2018 | 29 | |
| 8 | 2018 | 28 | |
| 9 | 2020 | 24 | |
| 10 | 2017 | 24 | |
| 11 | 2018 | 24 | |
| 12 | 2018 | 21 | |
| 13 | 2015 | 17 | |
| 14 | 2014 | 16 | |
| 15 | 2019 | 15 | |
| 16 | 2019 | 13 | |
| 17 | 2023 | 11 | |
| 18 | 2019 | 10 | |
| 19 | 2018 | 9 | |
| 20 | 2022 | 7 |
About Rachel Ger
Rachel Ger is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Radiation, Biomedical Engineering and Artificial Intelligence, having authored 44 papers that have together received 660 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (18 papers), Advanced Radiotherapy Techniques (14 papers), Advanced X-ray and CT Imaging (12 papers), Radiation Therapy and Dosimetry (12 papers), Medical Imaging Techniques and Applications (12 papers), MRI in cancer diagnosis (8 papers), Radiation Dose and Imaging (4 papers) and AI in cancer detection (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (466 citations), Health Informatics (17 citations), Radiation (111 citations), Otorhinolaryngology (24 citations) and Pulmonary and Respiratory Medicine (140 citations). Rachel Ger has collaborated with scholars based in United States, Netherlands and Egypt. Frequent co-authors include Laurence E. Court, Dennis Mackin, Jinzhong Yang, Rick R. Layman, A. Kyle Jones, Clifton D. Fuller, Shouhao Zhou, Rebecca M. Howell, Lifei Zhang and Carlos Cárdenas. Their work appears in journals such as Medical Physics, Journal of Applied Clinical Medical Physics, Scientific Reports, Cancers and PLoS ONE.
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.