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Institution · Cerdanyola del Vallès · ??

Computer Vision Center

In research, Computer Vision Center stands highest in Physical Sciences (#10,763 of 12,888 worldwide), 2022–2025. Relative to its size it is most specialised in Computer Vision and Pattern Recognition and Computer Science — Computer Vision and Pattern Recognition is 32.5× its share of world research.

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World rank, 2022–2025
#21,216
of 28,054 · #18,412 all time
Rank in ??
#448
of 692
Research works
420
▲ 8% vs 2013–17
Citations
14k
32.2 per fractional work
Top-10% rate
26.9%
record average 16.5%
Open access
32%
world 28%

What is Computer Vision Center known for in research?

The fields where it stands highest, 2022–2025, ranked among every institution above the floor in each field.

FieldWorld rankWhere that sitsTop-10% rateWorksAll time
Physical SciencesDomain #10,763 of 12,888 27.1%73 #11397

Each strip is that field’s whole ranked pool, with the notch where Computer Vision Center sits in it, in the colour of the band that rank falls in. The track under the rate is the rate itself: it carries no world mark, because the world rate differs by field (from about 6% to 21% in this record).

What does Computer Vision Center specialise in?

Where its research is concentrated relative to its size: Computer Vision and Pattern Recognition takes 32.5× the share of its output that it takes of world research.

  1. Computer Vision and Pattern RecognitionSubfield · 35.3 works32×
  2. Computer ScienceField · 55.2 works8.2×
← less than its size predicts1×more →

Location quotient, a volume reading rather than an impact one. It surfaces small, lopsided specialities.

Field profile

Location quotient across every field it publishes in: outside the ring is more than an institution of this size would be expected to publish, inside it is less.

Agricultural and Biological Sciences: 0.27× its world share, 1 worksAgricultural and Bio…Biochemistry, Genetics and Molecular Biology: 0.16× its world share, 1 worksBiochemistry, Geneti…Neuroscience: 0.98× its world share, 1 worksNeuroscienceChemistry: 0.18× its world share, 0 worksChemistryComputer Science: 8.22× its world share, 55 worksComputer ScienceEarth and Planetary Sciences: 1.22× its world share, 2 worksEarth and Planetary …Engineering: 0.94× its world share, 12 worksEngineeringEnvironmental Science: 0.25× its world share, 1 worksEnvironmental ScienceMaterials Science: 0.10× its world share, 0 worksMaterials ScienceMathematics: 0.33× its world share, 0 worksMathematicsPhysics and Astronomy: 0.81× its world share, 2 worksPhysics and AstronomyMedicine: 0.38× its world share, 6 worksMedicineArts and Humanities: 0.43× its world share, 1 worksArts and HumanitiesBusiness, Management and Accounting: 0.04× its world share, 0 worksBusiness, Management…Decision Sciences: 0.41× its world share, 0 worksDecision SciencesPsychology: 0.76× its world share, 2 worksPsychologySocial Sciences: 0.07× its world share, 1 worksSocial Sciences1×world share
more than its size predictsabout as predictedless

Rings at 0.5×, 1× and 2×. Widest outward: Computer Science, 8.2×. Every wedge is a field page.

Who are the top researchers at Computer Vision Center?

Ranked on the composite score, Adriana Romero, Xavier Otazu and Bogdan Raducanu lead among researchers whose main affiliation is Computer Vision Center.

  1. 1 Adriana Romero ?? · #105,489 worldwide 625 citations · 22 works
  2. 2 Xavier Otazu ?? · #264,400 worldwide 293 citations · 16 works
  3. 3 Bogdan Raducanu ?? · #279,779 worldwide 228 citations · 18 works
  4. 4 Meysam Madadi ?? · #280,307 worldwide 115 citations · 21 works
  5. 5 Ángel D. Sappa ?? · #336,409 worldwide 307 citations · 77 works
  6. 6 Miguel Ángel Bautista ?? · #1,047,876 worldwide 88 citations · 15 works
  7. 7 Marc Masana ?? · #1,466,675 worldwide 55 citations · 15 works
  8. 8 Ali Furkan Biten ?? · #1,600,366 worldwide 29 citations · 16 works
All ranked researchers at Computer Vision Center

Which keywords describe research at Computer Vision Center?

By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Convolutional Neural Networks, Unsupervised Learning, Convolutional Networks, Representation Learning, Meta-Learning and Semi-Supervised Learning.

▲ more of its work than of the world’s◆ about the world’s share▼ less than the world’s

Size is fractional works in 2022–2025 in the topics tagged with each word; colour is the word's share of this institution's work against its share of the world's. The 40 words are chosen for being large and distinctive. Each links to the topic it comes from most.

All 40 words, with their numbers
  1. Deep Learning39▲ 13×45 topics
  2. Neural Networks21▲ 16×19 topics
  3. Convolutional Neural Networks12▲ 19×10 topics
  4. Machine Learning8▲ 2.8×24 topics
  5. Unsupervised Learning8▲ 61×3 topics
  6. Convolutional Networks7▲ 57×3 topics
  7. Representation Learning6▲ 53×3 topics
  8. Meta-Learning6▲ 86×2 topics
  9. Semi-Supervised Learning6▲ 59×3 topics
  10. Transfer Learning5▲ 32×3 topics
  11. Image Captioning5▲ 119×1 topic
  12. Visual Question Answering5▲ 73×1 topic
  13. Remote Sensing5▲ 4.7×9 topics
  14. Sparse Representation5▲ 30×4 topics
  15. Domain Adaptation5▲ 104×1 topic
  16. Few-Shot Learning5▲ 104×1 topic
  17. Medical Imaging4▲ 10×5 topics
  18. Image Processing4▲ 11×5 topics
  19. Generative Adversarial Networks4▲ 57×2 topics
  20. Feature Extraction4▲ 8.8×6 topics
  21. Pose Estimation4▲ 36×2 topics
  22. Classification3▲ 8.6×5 topics
  23. Image Classification3▲ 23×2 topics
  24. Feature Matching3▲ 62×1 topic
  25. Local Descriptors3▲ 62×1 topic
  26. Text Classification3▲ 23×3 topics
  27. Wavelet Transform3▲ 16×3 topics
  28. Computer Vision3▲ 13×3 topics
  29. Information Retrieval3▲ 16×3 topics
  30. Handwriting Recognition3▲ 152×1 topic
  31. Hyperspectral3▲ 40×2 topics
  32. Text Detection3▲ 152×1 topic
  33. Action Recognition3▲ 64×1 topic
  34. Image Recognition3▲ 24×1 topic
  35. Object Detection3▲ 25×1 topic
  36. Spatiotemporal Features3▲ 64×1 topic
  37. Image3▲ 76×1 topic
  38. Super-Resolution3▲ 76×1 topic
  39. Contrast Enhancement2▲ 74×1 topic
  40. Dehazing2▲ 74×1 topic

Which research topics does Computer Vision Center publish most on?

By volume in 2022–2025: Multimodal Machine Learning Applications, Domain Adaptation and Few-Shot Learning, Advanced Image and Video Retrieval Techniques and Handwritten Text Recognition Techniques.

Multimodal Machine Learning Applications: 5 fractional worksDomain Adaptation and Few-Shot Learning: 5 fractional worksAdvanced Image and Video Retrieval Techniques: 3 fractional worksHandwritten Text Recognition Techniques: 3 fractional worksHuman Pose and Action Recognition: 3 fractional worksAdvanced Neural Network Applications: 3 fractional worksAdvanced Image Processin…3Advanced Image Processing Techniques: 3 fractional worksImage Enhancement Techni…2Image Enhancement Techniques: 2 fractional worksTopic Modeling2Topic Modeling: 2 fractional worksAnomaly Detection Techni…2Anomaly Detection Techniques and Applications: 2 fractional works
Computer Vision and Pattern RecognitionArtificial Intelligence

Area is fractional works; colour is the subfield each topic belongs to.

  1. 1 Multimodal Machine Learning Applications Computer Vision and Pattern Recognition 5 works
  2. 2 Domain Adaptation and Few-Shot Learning Artificial Intelligence 5 works
  3. 3 Advanced Image and Video Retrieval Techniques Computer Vision and Pattern Recognition 3 works
  4. 4 Handwritten Text Recognition Techniques Computer Vision and Pattern Recognition 3 works
  5. 5 Human Pose and Action Recognition Computer Vision and Pattern Recognition 3 works
  6. 6 Advanced Neural Network Applications Computer Vision and Pattern Recognition 3 works
  7. 7 Advanced Image Processing Techniques Computer Vision and Pattern Recognition 3 works
  8. 8 Image Enhancement Techniques Computer Vision and Pattern Recognition 2 works
  9. 9 Topic Modeling Artificial Intelligence 2 works
  10. 10 Anomaly Detection Techniques and Applications Artificial Intelligence 2 works

How open and international is its research?

Against the world’s own shares — the tick on each track. Both are shares of its output, so they sit on one scale and can be read against each other as well as against the world.

openly available31.5%not open68.5%

World: 28% of research is openly available.

with international co-authors30.5%domestic only69.5%

World: 19% is written across borders.

How has Computer Vision Center's research output changed?

Output in 2018–2022 was 8% higher than in 2013–2017.

1990200020102020
grewheldshrank

The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.

Other research institutions in Cerdanyola del Vallès

All research institutions in Cerdanyola del Vallès

Research measures only: rankings here say nothing about teaching, admissions or student experience. Comparable institutions and collaboration partners are in the interactive view on the map.