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Researcher · Radboud University Nijmegen · Netherlands

Bram van Ginneken

Bram van Ginneken publishes mostly in Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Computer Vision and Pattern Recognition, on topics such as Radiomics and Machine Learning in Medical Imaging, Lung Cancer Diagnosis and Treatment and COVID-19 diagnosis using AI.

ORCID 0000-0003-2028-8972 OpenAlex
World rank
#10,724
of 7,710,434 ranked researchers
Rank in Netherlands
#177
of 107,149
Works
707
Citations
73k
Citations per work
102.9
h-index
109
i10-index 406Top 0.1% in Radiology, Nuclear Medicine and Imaging
Bram van Ginneken

What does Bram van Ginneken research?

Bram van Ginneken's work is mostly in Medicine (55%), Computer Science (17%), Engineering (5%).

Health Sciences: 387 works · 54.8% of their workMedicine: 387 works · 54.8% of their workRadiology, Nuclear Medicine and Imaging: 204 works · 28.8% of their workPulmonary and Respiratory Medicine: 158 works · 22.3% of their workOphthalmology: 26 works · 3.7% of their workEverything else: 164 works · 23.2% of their workPhysical Sciences: 156 works · 22.0% of their workComputer Science: 119 works · 16.9% of their workComputer Vision and Pattern Recognition: 73 works · 10.3% of their workArtificial Intelligence: 47 works · 6.6% of their workEngineering: 36 works · 5.1% of their workBiomedical Engineering: 36 works · 5.1% of their workTHEIR WORKBram van Ginneken707works
Physical Sciences22%Health Sciences55%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Medicine38754.8%
  2. Everything else16423.2%
    1. Computer Science11916.9%
    2. Engineering365.1%
  1. 1Radiology, Nuclear Medicine and Imaging29% of their works
  2. 2Pulmonary and Respiratory Medicine22% of their works
  3. 3Computer Vision and Pattern Recognition10% of their works
  4. 4Artificial Intelligence7% of their works
  5. 5Biomedical Engineering5% of their works
  6. 6Ophthalmology4% of their works

Research topics

Which keywords describe Bram van Ginneken's research?

The keywords of their largest research topics: Deep Learning, Medical Imaging, Machine Learning, Texture Analysis, Convolutional Neural Networks, Quantitative Analysis, Radiomics and Medical Image Analysis.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.

All 22 words, with their numbers
  1. Deep Learning3604 topics
  2. Medical Imaging3242 topics
  3. Machine Learning2852 topics
  4. Texture Analysis2782 topics
  5. Convolutional Neural Networks2172 topics
  6. Quantitative Analysis1961 topic
  7. Radiomics1961 topic
  8. Medical Image Analysis1712 topics
  9. CT Screening1611 topic
  10. Lung Cancer1611 topic
  11. COVID-191281 topic
  12. Chest X-Ray1281 topic
  13. Computer-Aided Detection891 topic
  14. Histopathology Images891 topic
  15. Graph Cuts821 topic
  16. Image Segmentation821 topic
  17. COPD661 topic
  18. spirometry661 topic
  19. Diabetic Retinopathy611 topic
  20. Retinal Disease611 topic
  21. Imaging581 topic
  22. PET/CT581 topic

Where does Bram van Ginneken work?

Bram van Ginneken's main affiliation in the publication record is Radboud University Nijmegen, Netherlands.

How many publications and citations does Bram van Ginneken have?

OpenAlex counts 707 works and 72,760 citations for Bram van Ginneken, an h-index of 109, ranking #10,724 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

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