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Researcher · University of Amsterdam · Netherlands

Cees G. M. Snoek

Cees G. M. Snoek publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, on topics such as Multimodal Machine Learning Applications, Advanced Image and Video Retrieval Techniques and Video Analysis and Summarization.

ORCID 0000-0001-9092-1556 OpenAlex
World rank
#113,950
of 7,710,434 ranked researchers
Rank in Netherlands
#2,734
of 107,149
Works
450
Citations
15k
Citations per work
32.8
h-index
57
i10-index 176Top 0.8% in Computer Vision and Pattern Recognition
Cees G. M. Snoek

What does Cees G. M. Snoek research?

Cees G. M. Snoek's work is mostly in Computer Science (83%), Health Professions (1%), Medicine (1%).

Physical Sciences: 373 works · 82.9% of their workComputer Science: 373 works · 82.9% of their workComputer Vision and Pattern Recognition: 278 works · 61.8% of their workArtificial Intelligence: 83 works · 18.4% of their workSignal Processing: 12 works · 2.7% of their workEverything else: 59 works · 13.1% of their workHealth Sciences: 12 works · 2.7% of their workHealth Professions: 6 works · 1.4% of their workGeneral Health Professions: 6 works · 1.4% of their workMedicine: 6 works · 1.3% of their workRadiology, Nuclear Medicine and Imaging: 6 works · 1.3% of their workSocial Sciences: 6 works · 1.3% of their workSocial Sciences: 6 works · 1.3% of their workSociology and Political Science: 6 works · 1.3% of their workTHEIR WORKCees G. M. Snoek450works
Physical Sciences83%Health Sciences3%Social Sciences1%

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. Computer Science37382.9%
  2. Everything else5913.1%
    1. Health Professions61.4%
    2. Medicine61.3%
    1. Social Sciences61.3%
  1. 1Computer Vision and Pattern Recognition62% of their works
  2. 2Artificial Intelligence18% of their works
  3. 3Signal Processing3% of their works
  4. 4General Health Professions1% of their works
  5. 5Sociology and Political Science1% of their works
  6. 6Radiology, Nuclear Medicine and Imaging1% of their works

Research topics

Which keywords describe Cees G. M. Snoek's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Image Captioning, Visual Question Answering, Feature Matching, Local Descriptors, Content-Based Retrieval and Video Summarization.

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. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 18 words, with their numbers
  1. Deep Learning4755 topics
  2. Neural Networks2002 topics
  3. Image Captioning1591 topic
  4. Visual Question Answering1591 topic
  5. Feature Matching1441 topic
  6. Local Descriptors1441 topic
  7. Content-Based Retrieval1341 topic
  8. Video Summarization1341 topic
  9. Action Recognition1021 topic
  10. Pose Estimation1021 topic
  11. Domain Adaptation1011 topic
  12. Transfer Learning1011 topic
  13. Content-Based Image Retrieval971 topic
  14. Shape Matching971 topic
  15. Anomaly Detection411 topic
  16. Unsupervised411 topic
  17. Convolutional Neural Networks291 topic
  18. Image Recognition291 topic

Where does Cees G. M. Snoek work?

Cees G. M. Snoek's main affiliation in the publication record is University of Amsterdam, Netherlands.

How many publications and citations does Cees G. M. Snoek have?

OpenAlex counts 450 works and 14,763 citations for Cees G. M. Snoek, an h-index of 57, ranking #113,950 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation 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.

Discussion

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