Felix Busch

2.9k citations
55 papers · 813 indexed · 1 hit paper · h-index 15

Impact in

Papers in

Felix Busch

45 papers receiving 791 citations

Hit Papers

Current applications and challenges in large language models for patient care: a systematic review 2025 · 58 citations
58202520261020304050

Peers

Felix Busch
Comparison fields: 5 of 126
  • Health Informatics 363
  • Radiology, Nuclear Medicine and Imaging 394
  • Radiation 106
  • Family Practice 23
  • Structural Biology 11
Replace William Shields with:
William Shields United Kingdom
Philipp Wesp Germany
K. Elizabeth Hawk United States
George Shih United States
Tarik K. Alkasab United States
John A. Onofrey United States
Abhinav K. Jha United States
Margarita Chevalier Spain
Stephan Ursprung United Kingdom
Sujeeth Bharadwaj United States
Felix Busch relative to William Shields United Kingdom William Shields's profile →
Citations per field
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William Shields · 1×
Citations per year

Countries citing papers authored by Felix Busch

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Felix Busch Line = papers co-authored together Felix Busch links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20250
4 20250
5 20250
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7 20251
8
Current applications and challenges in large language models for patient care: a systematic review
Hit paper breakdown →
202558
9 20250
10 20252
11 20246
12 20249
13 20247
14 202414
15 202334
16 202327
17 20232
18 202349
19 202244
20 202214

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.

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