Katharina Hoebel
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education 2
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- Radiomics and Machine Learning in Medical Imaging 8
- Medical Imaging Techniques and Applications 2
- Artificial Intelligence top 10%
- AI in cancer detection 5
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- Brain Tumor Detection and Classification 2
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- Glioma Diagnosis and Treatment 3
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- Brain Metastases and Treatment 2
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- Photoacoustic and Ultrasonic Imaging 2
- Co-authors
- Jayashree Kalpathy–CramerKen ChangPraveer SinghMatthew LiJay PatelNishanth ArunMishka GidwaniNathan Gaw
- Partner nations
- United StatesSwitzerlandIndia
In The Last Decade
Katharina Hoebel
14 papers receiving 466 citations
Peers
Comparison fields: 5 of 93
- Health Informatics 70
- Radiology, Nuclear Medicine and Imaging 237
- Artificial Intelligence 157
- Neurology 42
- Health Information Management 11
Countries citing papers authored by Katharina Hoebel
This map shows the geographic impact of Katharina Hoebel'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 Katharina Hoebel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katharina Hoebel more than expected).
Fields of papers citing papers by Katharina Hoebel
This network shows the impact of papers produced by Katharina Hoebel. 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 Katharina Hoebel. The network helps show where Katharina Hoebel may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Katharina Hoebel, 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 | 2025 | 0 | |
| 2 | 2023 | 4 | |
| 3 | 2023 | 3 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 13 | |
| 6 | 2022 | 21 | |
| 7 | 2022 | 41 | |
| 8 | 2022 | 1 | |
| 9 | 2021 | 147 | |
| 10 | 2020 | 37 | |
| 11 | 2020 | 77 | |
| 12 | 2020 | 20 | |
| 13 | 2020 | 39 | |
| 14 | 2019 | 50 | |
| 15 | 2019 | 17 | |
| 16 | 2019 | 0 | |
| 17 | 2018 | 2 |
About Katharina Hoebel
Katharina Hoebel is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 17 papers that have together received 472 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (8 papers), AI in cancer detection (5 papers), Glioma Diagnosis and Treatment (3 papers), Medical Imaging Techniques and Applications (2 papers), Brain Metastases and Treatment (2 papers), Brain Tumor Detection and Classification (2 papers), Photoacoustic and Ultrasonic Imaging (2 papers) and Artificial Intelligence in Healthcare and Education (2 papers). The work is most often cited by research in Health Informatics (70 citations), Radiology, Nuclear Medicine and Imaging (237 citations) and Artificial Intelligence (157 citations). Katharina Hoebel has collaborated with scholars based in United States, Switzerland and India. Frequent co-authors include Jayashree Kalpathy–Cramer, Ken Chang, Praveer Singh, Matthew Li, Jay Patel, Nishanth Arun, Mishka Gidwani, Nathan Gaw, James M. Brown and Andrew Beers. Their work appears in journals such as Radiology, IEEE Transactions on Medical Imaging and Neuro-Oncology.
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.