- Research works
- 35 ▼ 13% vs 2013–17
- Citations
- 611 17.7 per fractional work
- Top-10% rate
- 16.0% record average 16.5%
- Open access
- 78% world 28%
Not ranked overall: Yandex School of Data Analysis 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: Physics and Astronomy, 17.6×. Every wedge is a field page.
Which keywords describe research at Yandex School of Data Analysis?
By fractional works in all years, weighted toward what it does more of than the world: Dark Matter, Particle Physics, Higgs Boson, High-Energy Collider, Lattice QCD, Particle Detectors, Silicon Detectors and Neural Networks.
- Data Analysis
- QCD
- Neural Machine Translation
- Machine Translation
- Parallel Computing
- Distributed Systems
- Deep Learning
- Information Retrieval
- Quark-Gluon Plasma
- Neural Networks
- Particle Detectors
- High-Energy Collider
- Particle Physics
- Dark Matter
- Higgs Boson
- Lattice QCD
- Silicon Detectors
- Heavy-Ion Collisions
- Machine Learning
- Text Classification
- Workflow Management
- High-Performance Computing
- Topic Modeling
- Word Representation
- Statistical Machine Translation
- charmonium
- Resource Management
Size is fractional works in all years 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 27 words are chosen for being large and distinctive. Each links to the topic it comes from most.
All 27 words, with their numbers
- Dark Matter6▲ 91×2 topics
- Particle Physics6▲ 136×2 topics
- Higgs Boson5▲ 162×1 topic
- High-Energy Collider5▲ 162×1 topic
- Lattice QCD4▲ 78×2 topics
- Particle Detectors3▲ 353×1 topic
- Silicon Detectors3▲ 353×1 topic
- Neural Networks3▲ 7.8×6 topics
- Heavy-Ion Collisions2▲ 139×1 topic
- Quark-Gluon Plasma2▲ 139×1 topic
- Machine Learning2▲ 3.1×10 topics
- Information Retrieval2▲ 35×3 topics
- Text Classification2▲ 53×2 topics
- Deep Learning2▲ 2.2×10 topics
- Workflow Management2▲ 46×2 topics
- Distributed Systems1▲ 16×3 topics
- High-Performance Computing1▲ 27×2 topics
- Parallel Computing1▲ 23×2 topics
- Topic Modeling1▲ 52×2 topics
- Machine Translation1▲ 34×1 topic
- Word Representation1▲ 58×1 topic
- Neural Machine Translation1▲ 44×1 topic
- Statistical Machine Translation1▲ 44×1 topic
- QCD1▲ 39×1 topic
- charmonium1▲ 39×1 topic
- Data Analysis1▲ 8.8×2 topics
- Resource Management1▲ 17×2 topics
Which research topics does Yandex School of Data Analysis publish most on?
By volume in 2022–2025: Particle physics theoretical and experimental studies, Particle Detector Development and Performance, High-Energy Particle Collisions Research and Natural Language Processing Techniques.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Particle physics theoretical and experimental studies Nuclear and High Energy Physics 1 works
- 2 Particle Detector Development and Performance Nuclear and High Energy Physics 1 works
- 3 High-Energy Particle Collisions Research Nuclear and High Energy Physics 0 works
- 4 Natural Language Processing Techniques Artificial Intelligence 0 works
- 5 Distributed systems and fault tolerance Computer Networks and Communications 0 works
- 6 Topic Modeling Artificial Intelligence 0 works
- 7 Security and Verification in Computing Artificial Intelligence 0 works
- 8 Petri Nets in System Modeling Computational Theory and Mathematics 0 works
- 9 Neutrino Physics Research Nuclear and High Energy Physics 0 works
- 10 Computational Physics and Python Applications 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 Yandex School of Data Analysis's research output changed?
Output in 2018–2022 was 13% lower 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 Moscow
- Russian Academy of Sciences
- Lomonosov Moscow State University
- National Research University Higher School of Economics
- Peoples' Friendship University of Russia
- Sechenov University
- Bauman Moscow State Technical University
- Kurchatov Institute
- N.D. Zelinsky Institute of Organic Chemistry
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.