Research in Cerdanyola del Vallès
Science Explorer records 2 research institutions in Cerdanyola del Vallès. The highest-ranked on research quality in 2022–2025 are Global Ecology Unit CREAF-CSIC-UAB and Computer Vision Center.
- Research institutions
- 2 2 of them ranked worldwide
- Research works
- 552 ▲ 38% vs 2013–17
- Top-10% rate, 2022–2025
- 41.6% record average 16.5%
A city carries no overall standing here. The composite score is built for institutions and countries, the units its floors and field normalisation were designed around. An empty rank on this page is a statement about the measure, not about the place.
Which research institutions are in Cerdanyola del Vallès?
| # | Institution | Works | Against the largest here | World rank |
|---|---|---|---|---|
| 1 | Computer Vision CenterInstitution | 420 | #21,216 | |
| 2 | Global Ecology Unit CREAF-CSIC-UABResearch facility | 133 | #5,565 |
By fractional works over the whole record; world rank on research quality in 2022–2025. Bars are scaled to the largest institution in this city, not to anything off the page.
What is Cerdanyola del Vallès strongest at in research?
Relative to its size, research in Cerdanyola del Vallès is most concentrated in Computer Vision and Pattern Recognition (18.9× the world share in Computer Vision and Pattern Recognition).
- Computer Vision and Pattern RecognitionSubfield · 35.3 works19×
Location quotient against the world baseline. Inside a single field a city is a meaningful unit, which is why this is where a city is measured at all.
Which keywords describe research in Cerdanyola del Vallès?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Climate Change, Neural Networks, Convolutional Neural Networks, Ecosystem Functioning, Remote Sensing, Ecosystem Resilience and Unsupervised Learning.
- Pose Estimation
- Ecosystem
- Ecosystem Services
- Medical Imaging
- Few-Shot Learning
- Tree Mortality
- Sparse Representation
- Visual Question Answering
- Drought
- Transfer Learning
- Meta-Learning
- Biochar Application
- Soil Carbon Sequestration
- Nutrient Limitation
- Convolutional Networks
- Global Change
- Ecosystem Resilience
- Remote Sensing
- Convolutional Neural Networks
- Climate Change
- Deep Learning
- Neural Networks
- Machine Learning
- Ecosystem Functioning
- Unsupervised Learning
- Microbial Communities
- Biodiversity
- Representation Learning
- Soil Fertility
- Nitrogen Cycle
- Semi-Supervised Learning
- Invasive Species
- Image Captioning
- Evapotranspiration
- Carbon Balance
- Domain Adaptation
- Habitat Fragmentation
- Image Processing
- Generative Adversarial Networks
- Biomass Estimation
Size is fractional works in 2022–2025 in the topics tagged with each word; colour is the word's share of this city'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
- Deep Learning39▲ 7.7×45 topics
- Climate Change28▲ 6.9×44 topics
- Neural Networks21▲ 9.2×19 topics
- Convolutional Neural Networks12▲ 11×10 topics
- Machine Learning10▲ 2.1×26 topics
- Remote Sensing10▲ 5.3×23 topics
- Ecosystem Functioning8▲ 30×6 topics
- Ecosystem Resilience8▲ 35×5 topics
- Unsupervised Learning8▲ 36×3 topics
- Global Change7▲ 19×5 topics
- Microbial Communities7▲ 11×3 topics
- Convolutional Networks7▲ 33×3 topics
- Biodiversity7▲ 6.2×13 topics
- Nutrient Limitation6▲ 41×2 topics
- Representation Learning6▲ 31×3 topics
- Soil Carbon Sequestration6▲ 57×2 topics
- Soil Fertility6▲ 19×2 topics
- Biochar Application6▲ 40×1 topic
- Nitrogen Cycle6▲ 66×1 topic
- Meta-Learning6▲ 50×2 topics
- Semi-Supervised Learning6▲ 34×3 topics
- Transfer Learning5▲ 19×3 topics
- Invasive Species5▲ 8.2×8 topics
- Drought5▲ 37×3 topics
- Image Captioning5▲ 69×1 topic
- Visual Question Answering5▲ 43×1 topic
- Evapotranspiration5▲ 44×2 topics
- Sparse Representation5▲ 18×4 topics
- Carbon Balance5▲ 70×1 topic
- Tree Mortality5▲ 70×1 topic
- Domain Adaptation5▲ 61×1 topic
- Few-Shot Learning5▲ 61×1 topic
- Habitat Fragmentation5▲ 14×4 topics
- Medical Imaging4▲ 6.0×5 topics
- Image Processing4▲ 6.3×5 topics
- Ecosystem Services4▲ 7.0×8 topics
- Generative Adversarial Networks4▲ 33×2 topics
- Ecosystem4▲ 24×3 topics
- Biomass Estimation4▲ 17×3 topics
- Pose Estimation4▲ 21×2 topics
What research is done in Cerdanyola del Vallès?
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Soil Carbon and Nitrogen Dynamics Soil Science 6 works
- 2 Multimodal Machine Learning Applications Computer Vision and Pattern Recognition 5 works
- 3 Plant Water Relations and Carbon Dynamics Global and Planetary Change 5 works
- 4 Domain Adaptation and Few-Shot Learning Artificial Intelligence 5 works
- 5 Ecology and Vegetation Dynamics Studies Nature and Landscape Conservation 3 works
- 6 Advanced Image and Video Retrieval Techniques Computer Vision and Pattern Recognition 3 works
- 7 Handwritten Text Recognition Techniques Computer Vision and Pattern Recognition 3 works
- 8 Advanced Neural Network Applications Computer Vision and Pattern Recognition 3 works
- 9 Human Pose and Action Recognition Computer Vision and Pattern Recognition 3 works
- 10 Advanced Image Processing Techniques Computer Vision and Pattern Recognition 3 works
Research output over time
The same series as a ribbon — one cell per year, darker for more.