Amsterdam University of the Arts
In research, Amsterdam University of the Arts stands highest in Social Sciences (#2,207 of 10,521 worldwide), Social Sciences (#2,731 of 6,365 worldwide) and Computer Science (#2,410 of 4,667 worldwide), 2022–2025. Relative to its size it is most specialised in Artificial Intelligence and Computer Science — Artificial Intelligence is 7.1× its share of world research.
- World rank, 2022–2025
- #9,149 of 28,054 · #8,728 all time
- Rank in Netherlands
- #74 of 237
- Research works
- 1.1k ▲ 16% vs 2013–17
- Citations
- 28k 26.3 per fractional work
- Top-10% rate
- 29.8% record average 16.5%
- Open access
- 58% world 28%
What is Amsterdam University of the Arts 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 |
|---|---|---|---|---|---|
| Social SciencesDomain | #2,207 of 10,521 | 33.0% | 128 | #2526 | |
| Social SciencesField | #2,731 of 6,365 | 33.1% | 66 | #2653 | |
| Computer ScienceField | #2,410 of 4,667 | 28.4% | 90 | #1883 | |
| Physical SciencesDomain | #9,672 of 12,888 | 26.8% | 107 | #9461 |
Each strip is that field’s whole ranked pool, with the notch where Amsterdam University of the Arts 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).
Which of those standings moved
The same fields on both windows: where it stood over the whole record, and where it stands in 2022–2025. The distance is the story, and it is the one thing the two rank columns above cannot show.
- Social Sciences#2,526 #2,207
- Social Sciences#2,653 #2,731
- Computer Science#1,883 #2,410
- Physical Sciences#9,461 #9,672
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
What does Amsterdam University of the Arts specialise in?
Where its research is concentrated relative to its size: Artificial Intelligence takes 7.1× the share of its output that it takes of world research.
- Artificial IntelligenceSubfield · 43.9 works7.1×
- Computer ScienceField · 89.9 works4.5×
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: Computer Science, 4.5×. Every wedge is a field page.
- Computer Science 4.5×
- Arts and Humanities 3.1×
- Decision Sciences 2.8×
- Psychology 2.2×
- Social Sciences 2.0×
- Neuroscience 1.2×
- Economics, Econometrics and Finance 1.1×
- Business, Management and Accounting 1.0×
- Physics and Astronomy 0.5×
- Mathematics 0.5×
- Nursing 0.4×
- Environmental Science 0.3×
- Health Professions 0.3×
- Earth and Planetary Sciences 0.3×
- Engineering 0.2×
- Biochemistry, Genetics and Molecular Biology 0.2×
- Medicine 0.2×
- Immunology and Microbiology 0.1×
- Agricultural and Biological Sciences 0.1×
- Chemistry 0.1×
- Energy 0.0×
- Materials Science 0.0×
Who are the top researchers at Amsterdam University of the Arts?
Ranked on the composite score, Scott deLahunta lead among researchers whose main affiliation is Amsterdam University of the Arts.
- 1 Scott deLahunta Netherlands · #453,285 worldwide 27 citations · 27 works
Which keywords describe research at Amsterdam University of the Arts?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Neural Networks, Information Retrieval, Deep Learning, Text Classification, Topic Modeling, Machine Translation, Semantic Similarity and Word Representation.
- Postcolonialism
- Anthropocene
- Spoken Dialogue Systems
- Unsupervised Learning
- Search Engines
- International Relations
- Social Networks
- Statistical Machine Translation
- Neural Machine Translation
- Collaborative Filtering
- Colonialism
- Emotion
- Ethics
- Big Data
- Identity
- Word Representation
- Topic Modeling
- Text Classification
- Machine Learning
- Neural Networks
- Deep Learning
- Information Retrieval
- Globalization
- Machine Translation
- Semantic Similarity
- Social Media
- Artificial Intelligence
- Human Rights
- Nationalism
- Gender
- Corpus Linguistics
- Matrix Factorization
- Semi-Supervised Learning
- Representation Learning
- Reinforcement Learning
- Memory
- User Behavior
- Markov Decision Processes
- Meta-Learning
- Object Recognition
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 Learning25▲ 2.9×48 topics
- Neural Networks25▲ 6.3×19 topics
- Information Retrieval17▲ 30×4 topics
- Machine Learning16▲ 1.88×41 topics
- Globalization12▲ 2.4×37 topics
- Text Classification12▲ 28×2 topics
- Machine Translation11▲ 25×2 topics
- Topic Modeling11▲ 28×2 topics
- Semantic Similarity10▲ 34×1 topic
- Word Representation10▲ 34×1 topic
- Social Media10▲ 2.8×19 topics
- Identity9▲ 5.0×23 topics
- Artificial Intelligence9▲ 2.6×18 topics
- Big Data7▲ 3.1×15 topics
- Human Rights7▲ 2.5×22 topics
- Ethics5▲ 4.4×8 topics
- Nationalism5▲ 4.4×11 topics
- Emotion5▲ 9.6×10 topics
- Gender5▲ 3.6×13 topics
- Colonialism5▲ 4.1×11 topics
- Corpus Linguistics5▲ 9.0×4 topics
- Collaborative Filtering5▲ 52×1 topic
- Matrix Factorization5▲ 52×1 topic
- Neural Machine Translation5▲ 19×1 topic
- Semi-Supervised Learning5▲ 17×3 topics
- Statistical Machine Translation5▲ 19×1 topic
- Representation Learning4▲ 12×3 topics
- Social Networks4▲ 6.3×8 topics
- Reinforcement Learning4▲ 15×2 topics
- International Relations4▲ 5.9×12 topics
- Memory4▲ 5.8×6 topics
- Search Engines4▲ 312×1 topic
- User Behavior4▲ 312×1 topic
- Unsupervised Learning4▲ 9.6×3 topics
- Markov Decision Processes3▲ 62×1 topic
- Spoken Dialogue Systems3▲ 62×1 topic
- Meta-Learning3▲ 16×2 topics
- Anthropocene3▲ 23×3 topics
- Object Recognition3▲ 17×2 topics
- Postcolonialism3▲ 10×6 topics
Which research topics does Amsterdam University of the Arts publish most on?
By volume in 2022–2025: Topic Modeling, Natural Language Processing Techniques, Recommender Systems and Techniques and Information Retrieval and Search Behavior.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Topic Modeling Artificial Intelligence 10 works
- 2 Natural Language Processing Techniques Artificial Intelligence 5 works
- 3 Recommender Systems and Techniques Information Systems 5 works
- 4 Information Retrieval and Search Behavior Information Systems 4 works
- 5 Speech and dialogue systems Artificial Intelligence 3 works
- 6 Advanced Image and Video Retrieval Techniques Computer Vision and Pattern Recognition 3 works
- 7 Multimodal Machine Learning Applications Computer Vision and Pattern Recognition 2 works
- 8 Domain Adaptation and Few-Shot Learning Artificial Intelligence 2 works
- 9 Misinformation and Its Impacts Sociology and Political Science 2 works
- 10 Ethics and Social Impacts of AI Safety Research 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 Amsterdam University of the Arts's research output changed?
Output in 2018–2022 was 16% 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 Amsterdam
- University of Amsterdam
- Vrije Universiteit Amsterdam
- Amsterdam UMC Location University of Amsterdam
- Amsterdam UMC Location Vrije Universiteit Amsterdam
- Philips (Netherlands)
- Amsterdam University Medical Centers
- Centrum Wiskunde & Informatica
- Institute for Atomic and Molecular Physics
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.