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Researcher · Institut national de recherche en sciences et technologies du numérique · France

Jakob J. Verbeek

Jakob J. Verbeek publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics, on topics such as Advanced Image and Video Retrieval Techniques, Image Retrieval and Classification Techniques and Domain Adaptation and Few-Shot Learning.

ORCID 0000-0003-1419-1816 OpenAlex
World rank
#98,466
of 7,710,434 ranked researchers
Rank in France
#8,033
of 324,115
Works
222
Citations
18k
Citations per work
79.7
h-index
52
i10-index 93Top 1% in Computer Vision and Pattern Recognition
Jakob J. Verbeek

What does Jakob J. Verbeek research?

Jakob J. Verbeek's work is mostly in Computer Science (80%), Engineering (6%).

Physical Sciences: 191 works · 86.1% of their workComputer Science: 178 works · 80.2% of their workComputer Vision and Pattern Recognition: 124 works · 55.9% of their workArtificial Intelligence: 50 works · 22.5% of their workSignal Processing: 4 works · 1.8% of their workEngineering: 13 works · 5.9% of their workComputational Mechanics: 5 works · 2.1% of their workMedia Technology: 4 works · 2.0% of their workAerospace Engineering: 4 works · 1.8% of their workEverything else: 31 works · 13.9% of their workTHEIR WORKJakob J. Verbeek222works
Physical Sciences86%

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 Science17880.2%
    2. Engineering135.9%
  2. Everything else3113.9%
  1. 1Computer Vision and Pattern Recognition56% of their works
  2. 2Artificial Intelligence22% of their works
  3. 3Computational Mechanics2% of their works
  4. 4Media Technology2% of their works
  5. 5Aerospace Engineering2% of their works
  6. 6Signal Processing2% of their works

Research topics

Which keywords describe Jakob J. Verbeek's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Representation Learning, Unsupervised Learning, Feature Matching, Local Descriptors, Local Binary Patterns and Content-Based Image Retrieval.

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 21 words, with their numbers
  1. Deep Learning1785 topics
  2. Neural Networks833 topics
  3. Representation Learning712 topics
  4. Unsupervised Learning712 topics
  5. Feature Matching701 topic
  6. Local Descriptors701 topic
  7. Local Binary Patterns672 topics
  8. Content-Based Image Retrieval481 topic
  9. Shape Matching481 topic
  10. Domain Adaptation371 topic
  11. Transfer Learning371 topic
  12. Generative Adversarial Networks341 topic
  13. Image Synthesis341 topic
  14. Image Captioning301 topic
  15. Visual Question Answering301 topic
  16. Convolutional Neural Networks251 topic
  17. Image Recognition251 topic
  18. Backpropagation Learning191 topic
  19. Dimensionality Reduction191 topic
  20. Face Recognition191 topic
  21. Self-Organizing Maps191 topic

Where does Jakob J. Verbeek work?

Jakob J. Verbeek's main affiliation in the publication record is Institut national de recherche en sciences et technologies du numérique, France.

How many publications and citations does Jakob J. Verbeek have?

OpenAlex counts 222 works and 17,689 citations for Jakob J. Verbeek, an h-index of 52, ranking #98,466 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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