International Laboratory on Learning Systems
- Research works
- 9 fractional, all time
- Citations
- 34 3.8 per fractional work
- Top-10% rate
- 4.0% record average 16.5%
- Open access
- 86% world 28%
Not ranked overall: International Laboratory on Learning Systems is under the volume floor below which an excellence rate is noise. Not ranked is not the same as ranked last.
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, 9.1×. Every wedge is a field page.
Which research topics does International Laboratory on Learning Systems publish most on?
By volume in 2022–2025: Natural Language Processing Techniques, Topic Modeling, Speech and dialogue systems and Adversarial Robustness in Machine Learning.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Natural Language Processing Techniques Artificial Intelligence 1 works
- 2 Topic Modeling Artificial Intelligence 1 works
- 3 Speech and dialogue systems Artificial Intelligence 1 works
- 4 Adversarial Robustness in Machine Learning Artificial Intelligence 1 works
- 5 Multimodal Machine Learning Applications Computer Vision and Pattern Recognition 0 works
- 6 Digital Humanities and Scholarship Literature and Literary Theory 0 works
- 7 Authorship Attribution and Profiling Artificial Intelligence 0 works
- 8 Mental Health via Writing Social Psychology 0 works
- 9 Linguistics and Discourse Analysis Philosophy 0 works
- 10 Domain Adaptation and Few-Shot Learning Artificial Intelligence 0 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 International Laboratory on Learning Systems's research output changed?
The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.
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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.