Georg Wölflein
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
- Artificial Intelligence top 10%
- AI in cancer detection
- Topic Modeling
- Machine Learning in Healthcare
Papers in
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- Artificial Intelligence in Healthcare and Education 6
-
- AI in cancer detection 8
- Speech and dialogue systems 1
- Topic Modeling 1
- Natural Language Processing Techniques 1
- Explainable Artificial Intelligence (XAI) 1
- Co-authors
- Jakob Nikolas Kather (12 shared papers)Daniel Truhn (9 shared papers)Dyke Ferber (9 shared papers)Isabella C. Wiest (4 shared papers)Omar S. M. El Nahhas (6 shared papers)Dirk Jäger (2 shared papers)Marta Ligero (4 shared papers)Sebastian Foersch (2 shared papers)
- Journals
- Nature Communications (1 paper)Nature Medicine (1 paper)npj Digital Medicine (1 paper)Nature (1 paper)Nature Cancer (1 paper)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Georg Wölflein
15 papers receiving 330 citations
Georg Wölflein's Hit Papers
Peers
Comparison fields: 5 of 44
- Health Informatics 166
- Artificial Intelligence 125
- Computer Vision and Pattern Recognition 24
- Biophysics 6
- Health Information Management 6
Countries citing papers authored by Georg Wölflein
This map shows the geographic impact of Georg Wölflein'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 Georg Wölflein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Georg Wölflein more than expected).
Fields of papers citing papers by Georg Wölflein
This network shows the impact of papers produced by Georg Wölflein. 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 Georg Wölflein. The network helps show where Georg Wölflein may publish in the future.
Co-authors
The 25 scholars most cited alongside Georg Wölflein, 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 | In-context learning enables multimodal large language models to classify cancer pathology images Hit paper breakdown → | 2024 | 84 |
| 2 | Development and validation of an autonomous artificial intelligence agent for clinical decision-making in oncology Hit paper breakdown → | 2025 | 83 |
| 3 | 2024 | 61 | |
| 4 | 2024 | 57 | |
| 5 | 2023 | 10 | |
| 6 | 2022 | 9 | |
| 7 | 2025 | 6 | |
| 8 | 2023 | 5 | |
| 9 | 2026 | 5 | |
| 10 | 2025 | 4 | |
| 11 | 2024 | 2 | |
| 12 | 2025 | 2 | |
| 13 | 2026 | 2 | |
| 14 | 2023 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2026 | 0 |
About Georg Wölflein
Georg Wölflein is a scholar working on Health Informatics, Artificial Intelligence, Biophysics, Computer Vision and Pattern Recognition and Pulmonary and Respiratory Medicine, having authored 16 papers that have together received 332 indexed citations. Recurring topics across this work include AI in cancer detection (8 papers), Artificial Intelligence in Healthcare and Education (6 papers), Renal cell carcinoma treatment (1 paper), Speech and dialogue systems (1 paper), Topic Modeling (1 paper), Natural Language Processing Techniques (1 paper), Generative Adversarial Networks and Image Synthesis (1 paper) and Explainable Artificial Intelligence (XAI) (1 paper). The work is most often cited by research in Health Informatics (166 citations), Artificial Intelligence (125 citations), Computer Vision and Pattern Recognition (24 citations), Biophysics (6 citations) and Health Information Management (6 citations). Georg Wölflein has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Jakob Nikolas Kather, Daniel Truhn, Dyke Ferber, Isabella C. Wiest, Omar S. M. El Nahhas, Dirk Jäger, Marta Ligero, Sebastian Foersch, Gustav Anton Müller‐Franzes and Narmin Ghaffari Laleh. Their work appears in journals such as Nature Communications, Nature Medicine, npj Digital Medicine, Nature and Nature Cancer.
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.