Patrick Ferdinand Christ
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
Papers in
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- Radiomics and Machine Learning in Medical Imaging 2
- Medical Imaging Techniques and Applications 1
- MRI in cancer diagnosis 1
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- Advanced Image and Video Retrieval Techniques 1
- Image Enhancement Techniques 1
- Co-authors
- Bjoern Menze (3 shared papers)Andreas K. Buck (1 shared paper)Hongwei Li (1 shared paper)Giles Tetteh (1 shared paper)Marie Piraud (1 shared paper)Jana Lipková (1 shared paper)Kuangyu Shi (1 shared paper)Lina Xu (1 shared paper)
- Journals
- Contrast Media & Molecular Imaging (1 paper)mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich) (1 paper)mediaTUM (Technical University of Munich) (1 paper)
- Partner nations
- Germany
In The Last Decade
Patrick Ferdinand Christ
4 papers receiving 123 citations
Peers
Comparison fields: 5 of 46
- Health Informatics 9
- Radiology, Nuclear Medicine and Imaging 81
- Computer Vision and Pattern Recognition 38
- Artificial Intelligence 37
- Neurology 9
Countries citing papers authored by Patrick Ferdinand Christ
This map shows the geographic impact of Patrick Ferdinand Christ'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 Patrick Ferdinand Christ with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Ferdinand Christ more than expected).
Fields of papers citing papers by Patrick Ferdinand Christ
This network shows the impact of papers produced by Patrick Ferdinand Christ. 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 Patrick Ferdinand Christ. The network helps show where Patrick Ferdinand Christ may publish in the future.
Co-authors
The 15 scholars most cited alongside Patrick Ferdinand Christ, 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 | 2018 | 88 | |
| 2 | 2017 | 18 | |
| 3 | 2017 | 18 | |
| 4 | Convolutional Neural Networks for Classification and Segmentation of Medical Images | 2017 | 1 |
About Patrick Ferdinand Christ
Patrick Ferdinand Christ is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Public Health, Environmental and Occupational Health, Hematology and Hepatology, having authored 4 papers that have together received 125 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (1 paper), Advanced Image and Video Retrieval Techniques (1 paper), Medical Imaging Techniques and Applications (1 paper), Nutritional Studies and Diet (1 paper), Multiple Myeloma Research and Treatments (1 paper), MRI in cancer diagnosis (1 paper) and Image Enhancement Techniques (1 paper). The work is most often cited by research in Health Informatics (9 citations), Radiology, Nuclear Medicine and Imaging (81 citations), Computer Vision and Pattern Recognition (38 citations), Artificial Intelligence (37 citations) and Neurology (9 citations). Patrick Ferdinand Christ has collaborated with scholars based in Germany. Frequent co-authors include Bjoern Menze, Andreas K. Buck, Hongwei Li, Giles Tetteh, Marie Piraud, Jana Lipková, Kuangyu Shi, Lina Xu, Yu Zhao and Seyed‐Ahmad Ahmadi. Their work appears in journals such as Contrast Media & Molecular Imaging, mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich) and mediaTUM (Technical University of Munich).
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.