Barbara Weyn
Impact in
- Biophysics top 10%
- Cell Image Analysis Techniques
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- Digital Imaging for Blood Diseases
Papers in
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- AI in cancer detection 6
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- Radiomics and Machine Learning in Medical Imaging 6
- Co-authors
- Eric Van Marck (9 shared papers)Karl Dhaene (5 shared papers)Samir Kumar‐Singh (3 shared papers)G. van de Wouwer (7 shared papers)Paul Scheunders (6 shared papers)Willem Jacob (5 shared papers)Joost Weyler (1 shared paper)Johannes Bogers (1 shared paper)
- Journals
- Cytometry (4 papers)The Journal of Pathology (4 papers)Journal of Clinical Pathology (1 paper)PLoS Computational Biology (1 paper)Clinical Oncology (1 paper)
- Partner nations
- BelgiumUnited StatesItaly
In The Last Decade
Barbara Weyn
20 papers receiving 374 citations
Peers
Comparison fields: 5 of 94
- Biophysics 40
- Computer Vision and Pattern Recognition 75
- Cell Biology 59
- Biotechnology 31
- Artificial Intelligence 103
Countries citing papers authored by Barbara Weyn
This map shows the geographic impact of Barbara Weyn'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 Barbara Weyn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barbara Weyn more than expected).
Fields of papers citing papers by Barbara Weyn
This network shows the impact of papers produced by Barbara Weyn. 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 Barbara Weyn. The network helps show where Barbara Weyn may publish in the future.
Co-authors
The 25 scholars most cited alongside Barbara Weyn, 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 | 1998 | 93 | |
| 2 | 1998 | 61 | |
| 3 | 1999 | 33 | |
| 4 | 2004 | 26 | |
| 5 | 1998 | 24 | |
| 6 | 2000 | 23 | |
| 7 | 2000 | 23 | |
| 8 | 2008 | 21 | |
| 9 | 2018 | 20 | |
| 10 | 1999 | 20 | |
| 11 | 2002 | 13 | |
| 12 | Validation of nuclear texture, density, morphometry and tissue syntactic structure analysis as prognosticators of cervical carcinoma. | 2000 | 12 |
| 13 | Nuclear chromatin patterns in normal, hyperplastic and atypical endometrium. | 2001 | 4 |
| 14 | 2023 | 3 | |
| 15 | 2005 | 3 | |
| 16 | 2004 | 3 | |
| 17 | 2000 | 2 | |
| 18 | 2000 | 2 | |
| 19 | The COSMO@Home Application – Iterative Development and Implementation of the Learning Goals | 2021 | 1 |
| 20 | 2014 | 1 |
About Barbara Weyn
Barbara Weyn is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Molecular Biology and Oncology, having authored 20 papers that have together received 388 indexed citations. Recurring topics across this work include AI in cancer detection (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Occupational and environmental lung diseases (5 papers), Cancer Research and Treatments (3 papers), Telomeres, Telomerase, and Senescence (3 papers), Gene expression and cancer classification (3 papers), Image Retrieval and Classification Techniques (2 papers) and Medical Image Segmentation Techniques (2 papers). The work is most often cited by research in Biophysics (40 citations), Computer Vision and Pattern Recognition (75 citations), Cell Biology (59 citations), Biotechnology (31 citations) and Artificial Intelligence (103 citations). Barbara Weyn has collaborated with scholars based in Belgium, United States and Italy. Frequent co-authors include Eric Van Marck, Karl Dhaene, Samir Kumar‐Singh, G. van de Wouwer, Paul Scheunders, Willem Jacob, Joost Weyler, Johannes Bogers, Werner Jacobs and D. Van Dyck. Their work appears in journals such as Cytometry, The Journal of Pathology, Journal of Clinical Pathology, PLoS Computational Biology and Clinical Oncology.
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.