Philippe Van Ham

973 citations
30 papers · 795 indexed · h-index 16

Philippe Van Ham

30 papers receiving 771 citations

Peers

Philippe Van Ham
Comparison fields: 5 of 122
  • Biophysics 183
  • Media Technology 105
  • Cell Biology 145
  • Immunology and Allergy 42
  • Computer Vision and Pattern Recognition 99
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Jeffrey H. Price United States
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Stephen J. Lockett United States
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Countries citing papers authored by Philippe Van Ham

Since Specialization
Citations

This map shows the geographic impact of Philippe 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 Philippe 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 Philippe Van Ham more than expected).

Fields of papers citing papers by Philippe Van Ham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philippe 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 Philippe Van Ham. The network helps show where Philippe Van Ham may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Philippe Van Ham, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Philippe Van Ham Line = papers co-authored together Philippe Van Ham links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2006135
2 2006136
3 2005114
4 200437
5 200435
6
Textural and contextual land-cover classification using single and multiple classifier systems
200244
7
Sources of contrast and acquisition methods in functional MRI of the human brain
20021
8
Segmentation supervisée d'images
20015
9 199925
10 19981
11 199827
12 199851
13 199718
14 199712
15
Morphometric-, chromatin pattern- and DNA ploidy-related information submitted to artificial intelligence methods of data analysis to improve accuracy in nuclear grading of renal cell carcinoma.
19971
16 19961
17 199618
18 19959
19 199520
20 19821

About Philippe Van Ham

Philippe Van Ham is a scholar working on Biophysics, Genetics, Cell Biology, Oncology and Modeling and Simulation, having authored 30 papers that have together received 795 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (10 papers), Cellular Mechanics and Interactions (5 papers), Glioma Diagnosis and Treatment (4 papers), Cancer Cells and Metastasis (4 papers), 3D Printing in Biomedical Research (3 papers), Neuropeptides and Animal Physiology (3 papers), Cutaneous Melanoma Detection and Management (3 papers) and Advanced MRI Techniques and Applications (2 papers). The work is most often cited by research in Biophysics (183 citations), Media Technology (105 citations), Cell Biology (145 citations), Immunology and Allergy (42 citations) and Computer Vision and Pattern Recognition (99 citations). Philippe Van Ham has collaborated with scholars based in Belgium, Netherlands and Czechia. Frequent co-authors include Christine Decaestecker, Róbert Kiss, Olivier Debeir, Isabelle Camby, Isabelle Salmon, Marc Van Damme, Olivier Monnom, Jean‐Claude Legros, Frank Dubois and Catherine Yourassowsky. Their work appears in journals such as Cytometry, Journal of Neuropathology & Experimental Neurology, Photogrammetric Engineering & Remote Sensing, Clinical Cancer Research and Journal of Biomedical Optics.

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.

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