Felix Busch
Impact in
- Health Informatics top 0.2%
- Artificial Intelligence in Healthcare and Education
-
- Radiomics and Machine Learning in Medical Imaging
- Radiology practices and education
- COVID-19 diagnosis using AI
Papers in
-
- Artificial Intelligence in Healthcare and Education 27
- Co-authors
- Lisa C. AdamsKeno K. BressemDaniel TruhnMarcus R. MakowskiStefan M. NiehuesAvan KaderU. BonseJ.H. Kinney
- Journals
- Radiation Protection Dosimetry (5 papers)Radiology (4 papers)npj Digital Medicine (3 papers)Journal of Medical Internet Research (3 papers)Radiology Artificial Intelligence (2 papers)
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Felix Busch
45 papers receiving 791 citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Health Informatics 363
- Radiology, Nuclear Medicine and Imaging 394
- Radiation 106
- Family Practice 23
- Structural Biology 11
Countries citing papers authored by Felix Busch
This map shows the geographic impact of Felix Busch'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 Felix Busch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Felix Busch more than expected).
Fields of papers citing papers by Felix Busch
This network shows the impact of papers produced by Felix Busch. 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 Felix Busch. The network helps show where Felix Busch may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Felix Busch, 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 0 | |
| 6 | 2025 | 0 | |
| 7 | 2025 | 1 | |
| 8 | Current applications and challenges in large language models for patient care: a systematic review Hit paper breakdown → | 2025 | 58 |
| 9 | 2025 | 0 | |
| 10 | 2025 | 2 | |
| 11 | 2024 | 6 | |
| 12 | 2024 | 9 | |
| 13 | 2024 | 7 | |
| 14 | 2024 | 14 | |
| 15 | 2023 | 34 | |
| 16 | 2023 | 27 | |
| 17 | 2023 | 2 | |
| 18 | 2023 | 49 | |
| 19 | 2022 | 44 | |
| 20 | 2022 | 14 |
About Felix Busch
Felix Busch is a scholar working on Health Informatics, Family Practice, Radiation, Radiology, Nuclear Medicine and Imaging and General Dentistry, having authored 55 papers that have together received 813 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (27 papers), Radiomics and Machine Learning in Medical Imaging (13 papers), Machine Learning in Healthcare (9 papers), Radiology practices and education (9 papers), Medical Imaging Techniques and Applications (6 papers), Topic Modeling (6 papers), Advanced Radiotherapy Techniques (5 papers) and Advanced X-ray Imaging Techniques (4 papers). The work is most often cited by research in Health Informatics (363 citations), Radiology, Nuclear Medicine and Imaging (394 citations), Radiation (106 citations), Family Practice (23 citations) and Structural Biology (11 citations). Felix Busch has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Lisa C. Adams, Keno K. Bressem, Daniel Truhn, Marcus R. Makowski, Stefan M. Niehues, Avan Kader, U. Bonse, J.H. Kinney, R. A. Saroyan and M. C. Nichols. Their work appears in journals such as Radiation Protection Dosimetry, Radiology, npj Digital Medicine, Journal of Medical Internet Research and Radiology Artificial Intelligence.
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.