Frauke Wilm
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
- Biophysics top 10%
- Cell Image Analysis Techniques
Papers in
-
- Digital Imaging for Blood Diseases 9
- Advanced Image and Video Retrieval Techniques 3
- Image Retrieval and Classification Techniques 2
-
- AI in cancer detection 20
- Co-authors
- Katharina Breininger (18 shared papers)Marc Aubreville (15 shared papers)Christian Marzahl (7 shared papers)Andreas Maier (11 shared papers)Christof Bertram (8 shared papers)Robert Klopfleisch (8 shared papers)Alexander Bartel (1 shared paper)Taryn Donovan (2 shared papers)
- Journals
- Veterinary Pathology (2 papers)Medical Image Analysis (2 papers)Journal of Pathology Informatics (2 papers)IEEE Transactions on Medical Imaging (1 paper)Biomedical Signal Processing and Control (1 paper)
- Partner nations
- GermanyAustriaUnited States
In The Last Decade
Frauke Wilm
23 papers receiving 254 citations
Peers
Comparison fields: 5 of 42
- Health Informatics 19
- Biophysics 35
- Artificial Intelligence 169
- Computer Vision and Pattern Recognition 89
- Radiology, Nuclear Medicine and Imaging 83
Countries citing papers authored by Frauke Wilm
This map shows the geographic impact of Frauke Wilm'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 Frauke Wilm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frauke Wilm more than expected).
Fields of papers citing papers by Frauke Wilm
This network shows the impact of papers produced by Frauke Wilm. 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 Frauke Wilm. The network helps show where Frauke Wilm may publish in the future.
Co-authors
The 25 scholars most cited alongside Frauke Wilm, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 107 | |
| 2 | 2021 | 41 | |
| 3 | 2023 | 26 | |
| 4 | 2024 | 24 | |
| 5 | 2022 | 17 | |
| 6 | 2023 | 6 | |
| 7 | Robust Quad-Tree based Registration on Whole Slide Images | 2021 | 5 |
| 8 | 2022 | 5 | |
| 9 | 2023 | 5 | |
| 10 | 2021 | 4 | |
| 11 | 2024 | 4 | |
| 12 | 2021 | 3 | |
| 13 | 2023 | 3 | |
| 14 | 2023 | 3 | |
| 15 | 2024 | 3 | |
| 16 | 2023 | 3 | |
| 17 | 2022 | 3 | |
| 18 | 2018 | 3 | |
| 19 | 2021 | 3 | |
| 20 | 2025 | 2 |
About Frauke Wilm
Frauke Wilm is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Biophysics, Radiology, Nuclear Medicine and Imaging and Cancer Research, having authored 26 papers that have together received 273 indexed citations. Recurring topics across this work include AI in cancer detection (20 papers), Digital Imaging for Blood Diseases (9 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Cancer Genomics and Diagnostics (4 papers), Medical Imaging and Analysis (4 papers), Cell Image Analysis Techniques (4 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Image Retrieval and Classification Techniques (2 papers). The work is most often cited by research in Health Informatics (19 citations), Biophysics (35 citations), Artificial Intelligence (169 citations), Computer Vision and Pattern Recognition (89 citations) and Radiology, Nuclear Medicine and Imaging (83 citations). Frauke Wilm has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Katharina Breininger, Marc Aubreville, Christian Marzahl, Andreas Maier, Christof Bertram, Robert Klopfleisch, Alexander Bartel, Taryn Donovan, Anja Schmidt and Sophie E. Merz. Their work appears in journals such as Veterinary Pathology, Medical Image Analysis, Journal of Pathology Informatics, IEEE Transactions on Medical Imaging and Biomedical Signal Processing and Control.
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.