P. Van Ham
Impact in
- Biophysics top 2%
- Cell Image Analysis Techniques
- Media Technology top 5%
- Image Processing Techniques and Applications
Papers in
-
- Gene Regulatory Network Analysis 3
-
- Medical Image Segmentation Techniques 2
- Co-authors
- Christine Decaestecker (5 shared papers)Olivier Debeir (3 shared papers)Róbert Kiss (3 shared papers)René Thomas (1 shared paper)Nikoletta Nagy (1 shared paper)Ignace Lasters (1 shared paper)Isabelle Camby (1 shared paper)Myriam Remmelink (1 shared paper)
- Journals
- IEEE Transactions on Medical Imaging (1 paper)Biochimie (1 paper)Journal of the International AIDS Society (1 paper)Journal of Theoretical Biology (1 paper)International Journal of Molecular Medicine (1 paper)
- Partner nations
- Belgium
In The Last Decade
P. Van Ham
9 papers receiving 285 citations
Peers
Comparison fields: 5 of 78
- Biophysics 144
- Media Technology 74
- Computer Vision and Pattern Recognition 112
- Cell Biology 23
- Artificial Intelligence 43
Countries citing papers authored by P. Van Ham
This map shows the geographic impact of P. Van Ham'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 P. Van Ham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Van Ham more than expected).
Fields of papers citing papers by P. Van Ham
This network shows the impact of papers produced by P. Van Ham. 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 P. Van Ham. The network helps show where P. Van Ham may publish in the future.
Co-authors
The 24 scholars most cited alongside P. Van Ham, 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 | 2005 | 217 | |
| 2 | 2008 | 23 | |
| 3 | Decision tree induction: a useful tool for assisted diagnosis and prognosis in tumor pathology. | 1997 | 16 |
| 4 | 1975 | 16 | |
| 5 | 2005 | 8 | |
| 6 | 1998 | 6 | |
| 7 | The cure of the 'Berlin patient': why did pre-existing X4-variants not emergence after allogeneic CCR5-Delta 32 SCT? | 2012 | 3 |
| 8 | 1978 | 3 | |
| 9 | 1999 | 2 | |
| 10 | 1977 | 0 |
About P. Van Ham
P. Van Ham is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Artificial Intelligence, Biophysics and Radiology, Nuclear Medicine and Imaging, having authored 10 papers that have together received 294 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (3 papers), Gene Regulatory Network Analysis (3 papers), Immunotherapy and Immune Responses (2 papers), AI in cancer detection (2 papers), Medical Image Segmentation Techniques (2 papers), Cytokine Signaling Pathways and Interactions (1 paper), Artificial Intelligence in Healthcare (1 paper) and Image Processing Techniques and Applications (1 paper). The work is most often cited by research in Biophysics (144 citations), Media Technology (74 citations), Computer Vision and Pattern Recognition (112 citations), Cell Biology (23 citations) and Artificial Intelligence (43 citations). P. Van Ham has collaborated with scholars based in Belgium. Frequent co-authors include Christine Decaestecker, Olivier Debeir, Róbert Kiss, René Thomas, Nikoletta Nagy, Ignace Lasters, Isabelle Camby, Myriam Remmelink, Michel Pétein and Dragomir Milojevic. Their work appears in journals such as IEEE Transactions on Medical Imaging, Biochimie, Journal of the International AIDS Society, Journal of Theoretical Biology and International Journal of Molecular Medicine.
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.