CMCL Innovations (United Kingdom)
- Research works
- 74 ▼ 60% vs 2013–17
- Citations
- 622 8.4 per fractional work
- Top-10% rate
- 59.0% record average 16.5%
- Open access
- 33% world 28%
Not ranked overall: CMCL Innovations (United Kingdom) 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: Decision Sciences, 7.5×. Every wedge is a field page.
- Decision Sciences 7.5×
- Computer Science 3.5×
- Chemical Engineering 3.4×
- Engineering 2.5×
- Energy 2.2×
- Materials Science 1.9×
- Chemistry 1.2×
- Environmental Science 1.0×
- Physics and Astronomy 0.9×
- Earth and Planetary Sciences 0.7×
- Biochemistry, Genetics and Molecular Biology 0.6×
- Economics, Econometrics and Finance 0.6×
- Business, Management and Accounting 0.4×
- Social Sciences 0.3×
Which keywords describe research at CMCL Innovations (United Kingdom)?
By fractional works in all years, weighted toward what it does more of than the world: Neural Networks, Multi-Agent Systems, Reinforcement Learning, Machine Learning, Deep Learning, Robotics, Autonomous Control and Policy Gradient.
- Incremental Learning
- Ensemble Learning
- Contextual Bandits
- Bandit Optimization
- Manufacturing
- Game Theory
- Bayesian Optimization
- Data Integration
- Semantic Web
- Scheduling
- Classification
- Combustion
- Genetic Algorithm
- Biofuels
- Emissions
- Chemical Kinetics
- Policy Gradient
- Robotics
- Multi-Agent Systems
- Machine Learning
- Neural Networks
- Deep Learning
- Reinforcement Learning
- Autonomous Control
- Online Learning
- Bioinformatics
- Feature Selection
- Energy Efficiency
- Big Data
- Soot Formation
- Data Mining
- Evolutionary Algorithms
- Bayesian Networks
- Multiobjective Optimization
- Flexible Job-shop
- Genetic Programming
- Symbolic Regression
- Cell Signaling
- Eco-Driving
- Fuel Consumption
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 40 words are chosen for being large and distinctive. Each links to the topic it comes from most.
All 40 words, with their numbers
- Neural Networks8▲ 11×9 topics
- Machine Learning8▲ 4.8×19 topics
- Deep Learning7▲ 4.7×13 topics
- Multi-Agent Systems6▲ 45×3 topics
- Reinforcement Learning6▲ 108×3 topics
- Robotics6▲ 35×2 topics
- Autonomous Control6▲ 396×1 topic
- Policy Gradient6▲ 396×1 topic
- Online Learning4▲ 12×4 topics
- Chemical Kinetics4▲ 44×2 topics
- Bioinformatics3▲ 38×4 topics
- Emissions3▲ 22×3 topics
- Feature Selection3▲ 24×3 topics
- Biofuels3▲ 38×2 topics
- Energy Efficiency3▲ 4.4×9 topics
- Genetic Algorithm2▲ 18×3 topics
- Big Data2▲ 5.6×10 topics
- Combustion2▲ 44×1 topic
- Soot Formation2▲ 62×1 topic
- Classification2▲ 7.9×2 topics
- Data Mining2▲ 6.1×5 topics
- Scheduling2▲ 35×2 topics
- Evolutionary Algorithms2▲ 24×3 topics
- Semantic Web2▲ 19×3 topics
- Bayesian Networks2▲ 31×2 topics
- Data Integration2▲ 10×3 topics
- Multiobjective Optimization2▲ 44×2 topics
- Bayesian Optimization2▲ 38×2 topics
- Flexible Job-shop2▲ 65×1 topic
- Game Theory2▲ 17×2 topics
- Genetic Programming2▲ 87×1 topic
- Manufacturing2▲ 48×1 topic
- Symbolic Regression2▲ 87×1 topic
- Bandit Optimization2▲ 305×1 topic
- Cell Signaling2▲ 7.0×4 topics
- Contextual Bandits2▲ 305×1 topic
- Eco-Driving2▲ 51×1 topic
- Ensemble Learning2▲ 61×2 topics
- Fuel Consumption2▲ 39×1 topic
- Incremental Learning2▲ 89×2 topics
Which research topics does CMCL Innovations (United Kingdom) publish most on?
By volume in 2022–2025: Heat Transfer and Numerical Methods, Semantic Web and Ontologies, Nuclear Engineering Thermal-Hydraulics and Scientific Computing and Data Management.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Heat Transfer and Numerical Methods Computational Mechanics 0 works
- 2 Semantic Web and Ontologies Artificial Intelligence 0 works
- 3 Nuclear Engineering Thermal-Hydraulics Aerospace Engineering 0 works
- 4 Scientific Computing and Data Management Information Systems and Management 0 works
- 5 Machine Learning in Materials Science Materials Chemistry 0 works
- 6 Geographic Information Systems Studies Geography, Planning and Development 0 works
- 7 Elasticity and Material Modeling Biomedical Engineering 0 works
- 8 Smart Cities and Technologies Media Technology 0 works
- 9 3D Modeling in Geospatial Applications Building and Construction 0 works
- 10 Digital Transformation in Industry Industrial and Manufacturing Engineering 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 CMCL Innovations (United Kingdom)'s research output changed?
Output in 2018–2022 was 60% 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 Cambridge
- University of Cambridge
- Addenbrooke's Hospital
- MRC Laboratory of Molecular Biology
- Anglia Ruskin University
- AstraZeneca (United Kingdom)
- Microsoft Research (United Kingdom)
- British Antarctic Survey
- Cambridge University Hospitals NHS Foundation Trust
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.