Stefan Bunk
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
- Artificial Intelligence top 5%
- AI in cancer detection
- Topic Modeling
Papers in
-
- AI in cancer detection 4
- Semantic Web and Ontologies 2
- Topic Modeling 1
-
- Business Process Modeling and Analysis 1
- Co-authors
- Christian Leibig (4 shared papers)Danalyn Byng (2 shared papers)Lale Umutlu (1 shared paper)Katja Pinker (1 shared paper)Ralf Krestel (1 shared paper)Trasias Mukama (2 shared papers)Susanne A. Elsner (1 shared paper)Katja Siegmann-Luz (1 shared paper)
- Journals
- The Lancet Digital Health (2 papers)Nature Medicine (1 paper)European Journal of Radiology (1 paper)Lecture notes in business information processing (1 paper)International Conference on Semantic Systems (1 paper)
- Partner nations
- GermanyAustriaUnited States
In The Last Decade
Stefan Bunk
8 papers receiving 302 citations
Stefan Bunk's Hit Papers
Peers
Comparison fields: 5 of 52
- Health Informatics 92
- Artificial Intelligence 191
- Pulmonary and Respiratory Medicine 25
- Radiology, Nuclear Medicine and Imaging 17
- Cancer Research 8
Countries citing papers authored by Stefan Bunk
This map shows the geographic impact of Stefan Bunk'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 Stefan Bunk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Bunk more than expected).
Fields of papers citing papers by Stefan Bunk
This network shows the impact of papers produced by Stefan Bunk. 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 Stefan Bunk. The network helps show where Stefan Bunk may publish in the future.
Co-authors
The 17 scholars most cited alongside Stefan Bunk, 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 | 2022 | 141 | |
| 2 | Nationwide real-world implementation of AI for cancer detection in population-based mammography screening Hit paper breakdown → | 2025 | 99 |
| 3 | 2022 | 38 | |
| 4 | 2018 | 19 | |
| 5 | 2024 | 13 | |
| 6 | 2017 | 3 | |
| 7 | 2013 | 2 | |
| 8 | Linked Soccer Data. | 2013 | 1 |
About Stefan Bunk
Stefan Bunk is a scholar working on Artificial Intelligence, Management Information Systems, Nuclear Energy and Engineering, Waste Management and Disposal and Infectious Diseases, having authored 8 papers that have together received 316 indexed citations. Recurring topics across this work include AI in cancer detection (4 papers), Semantic Web and Ontologies (2 papers), Topic Modeling (1 paper) and Business Process Modeling and Analysis (1 paper). The work is most often cited by research in Health Informatics (92 citations), Artificial Intelligence (191 citations), Pulmonary and Respiratory Medicine (25 citations), Radiology, Nuclear Medicine and Imaging (17 citations) and Cancer Research (8 citations). Stefan Bunk has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Christian Leibig, Danalyn Byng, Lale Umutlu, Katja Pinker, Ralf Krestel, Trasias Mukama, Susanne A. Elsner, Katja Siegmann-Luz, Sylvia Helen Heywang-Köbrunner and Toni Werner Vomweg. Their work appears in journals such as The Lancet Digital Health, Nature Medicine, European Journal of Radiology, Lecture notes in business information processing and International Conference on Semantic Systems.
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.