National Science Centre
In research, National Science Centre stands highest in Physical Sciences (#3,504 of 12,888 worldwide), Engineering (#3,934 of 6,636 worldwide) and Computer Science (#3,259 of 4,667 worldwide), 2022–2025. Relative to its size it is most specialised in Computer Vision and Pattern Recognition and Artificial Intelligence — Computer Vision and Pattern Recognition is 5.5× its share of world research.
- World rank, 2022–2025
- #3,823 of 28,054 · #9,915 all time
- Rank in Poland
- #50 of 318
- Research works
- 766 ▲ 83% vs 2013–17
- Citations
- 6.7k 8.7 per fractional work
- Top-10% rate
- 20.6% record average 16.5%
- Open access
- 54% world 28%
What is National Science Centre known for in research?
The fields where it stands highest, 2022–2025, ranked among every institution above the floor in each field.
| Field | World rank | Where that sits | Top-10% rate | Works | All time |
|---|---|---|---|---|---|
| Physical SciencesDomain | #3,504 of 12,888 | 19.2% | 230 | #7455 | |
| EngineeringField | #3,934 of 6,636 | 15.1% | 80 | #8016 | |
| Computer ScienceField | #3,259 of 4,667 | 23.0% | 76 | — |
Each strip is that field’s whole ranked pool, with the notch where National Science Centre 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 National Science Centre specialise in?
Where its research is concentrated relative to its size: Computer Vision and Pattern Recognition takes 5.5× the share of its output that it takes of world research.
- Computer Vision and Pattern RecognitionSubfield · 25.6 works5.5×
- Artificial IntelligenceSubfield · 33.5 works3.8×
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.
Rings at 0.5×, 1× and 2×. Widest outward: Energy, 3.1×. Every wedge is a field page.
- Energy 3.1×
- Chemical Engineering 2.7×
- Computer Science 2.7×
- Neuroscience 2.6×
- Physics and Astronomy 1.9×
- Materials Science 1.7×
- Engineering 1.4×
- Immunology and Microbiology 1.2×
- Chemistry 1.1×
- Biochemistry, Genetics and Molecular Biology 1.0×
- Economics, Econometrics and Finance 1.0×
- Earth and Planetary Sciences 0.9×
- Pharmacology, Toxicology and Pharmaceutics 0.8×
- Agricultural and Biological Sciences 0.8×
- Environmental Science 0.7×
- Psychology 0.6×
- Arts and Humanities 0.5×
- Medicine 0.5×
- Social Sciences 0.5×
- Decision Sciences 0.4×
- Nursing 0.3×
- Veterinary 0.2×
- Dentistry 0.2×
- Health Professions 0.2×
- Business, Management and Accounting 0.2×
- Mathematics 0.0×
Which keywords describe research at National Science Centre?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Machine Learning, Nanomaterials, Water Splitting, Representation Learning, Convolutional Neural Networks and Electrocatalysis.
- Local Descriptors
- Feature Matching
- Object Recognition
- Object Detection
- Meta-Learning
- Anomaly Detection
- Image Classification
- Computer Vision
- Hydrogen Evolution
- Fuel Cells
- Energy Conversion
- Semiconductor
- Catalysts
- Cathode Materials
- Electrocatalysis
- Biomedical Applications
- Energy Storage
- Convolutional Neural Networks
- Nanomaterials
- Neural Networks
- Deep Learning
- Machine Learning
- Sustainable Development
- Water Splitting
- Metal-Organic Frameworks
- Representation Learning
- Catalysis
- Semi-Supervised Learning
- Unsupervised Learning
- Rechargeable Batteries
- Functional Connectivity
- Economic Security
- Oxygen Reduction
- Financial Security
- Transfer Learning
- CO2 Reduction
- Image Recognition
- Robotics
- Domain Adaptation
- Few-Shot Learning
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
- Deep Learning46▲ 3.6×62 topics
- Neural Networks24▲ 4.3×27 topics
- Machine Learning20▲ 1.64×49 topics
- Nanomaterials12▲ 3.1×14 topics
- Sustainable Development10▲ 1.77×21 topics
- Convolutional Neural Networks9▲ 3.4×12 topics
- Water Splitting8▲ 5.9×3 topics
- Energy Storage8▲ 3.1×8 topics
- Metal-Organic Frameworks7▲ 4.5×5 topics
- Biomedical Applications7▲ 1.57×17 topics
- Representation Learning7▲ 14×3 topics
- Electrocatalysis7▲ 6.4×4 topics
- Catalysis6▲ 2.6×12 topics
- Cathode Materials6▲ 4.4×3 topics
- Semi-Supervised Learning6▲ 15×3 topics
- Catalysts6▲ 8.1×3 topics
- Unsupervised Learning6▲ 11×3 topics
- Semiconductor5▲ 4.1×6 topics
- Rechargeable Batteries5▲ 4.9×2 topics
- Energy Conversion5▲ 6.2×2 topics
- Functional Connectivity5▲ 9.7×3 topics
- Fuel Cells5▲ 8.1×2 topics
- Economic Security4▲ 5.7×4 topics
- Hydrogen Evolution4▲ 9.5×1 topic
- Oxygen Reduction4▲ 9.5×1 topic
- Computer Vision4▲ 4.4×4 topics
- Financial Security4▲ 11×3 topics
- Image Classification4▲ 7.0×3 topics
- Transfer Learning4▲ 6.1×3 topics
- Anomaly Detection4▲ 3.9×4 topics
- CO2 Reduction4▲ 5.3×2 topics
- Meta-Learning4▲ 14×2 topics
- Image Recognition4▲ 8.2×1 topic
- Object Detection4▲ 8.5×1 topic
- Robotics4▲ 4.4×5 topics
- Object Recognition4▲ 13×2 topics
- Domain Adaptation3▲ 18×1 topic
- Feature Matching3▲ 15×1 topic
- Few-Shot Learning3▲ 18×1 topic
- Local Descriptors3▲ 15×1 topic
Which research topics does National Science Centre publish most on?
By volume in 2022–2025: Electrocatalysts for Energy Conversion, Advanced Neural Network Applications, Domain Adaptation and Few-Shot Learning and Advanced Image and Video Retrieval Techniques.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Electrocatalysts for Energy Conversion Renewable Energy, Sustainability and the Environment 4 works
- 2 Advanced Neural Network Applications Computer Vision and Pattern Recognition 4 works
- 3 Domain Adaptation and Few-Shot Learning Artificial Intelligence 3 works
- 4 Advanced Image and Video Retrieval Techniques Computer Vision and Pattern Recognition 3 works
- 5 Advanced Photocatalysis Techniques Renewable Energy, Sustainability and the Environment 3 works
- 6 Anomaly Detection Techniques and Applications Artificial Intelligence 3 works
- 7 Transcranial Magnetic Stimulation Studies Neurology 3 works
- 8 Topic Modeling Artificial Intelligence 2 works
- 9 Advancements in Battery Materials Electrical and Electronic Engineering 2 works
- 10 Economic Issues in Ukraine General Economics, Econometrics and Finance 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.
World: 28% of research is openly available.
World: 19% is written across borders.
How has National Science Centre's research output changed?
Output in 2018–2022 was 83% higher than in 2013–2017.
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 Krakow
- Jagiellonian University
- AGH University of Krakow
- University of Agriculture in Krakow
- Krakow University of Economics
- Uniwersytet Komisji Edukacji Narodowej w Krakowie
- Pontifical University of John Paul II in Kraków
- Institute of Nuclear Physics, Polish Academy of Sciences
- Krakow Cardiovascular Research Institute
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.