- Research works
- 57 ▼ 100% vs 2013–17
- Citations
- 693 12.1 per fractional work
- Top-10% rate
- 14.2% record average 16.5%
- Open access
- 22% world 28%
Not ranked overall: Sri Ramakrishna Engineering College is under the volume floor below which an excellence rate is noise. Not ranked is not the same as ranked last.
What does Sri Ramakrishna Engineering College specialise in?
Where its research is concentrated relative to its size: Computer Science takes 5.2× the share of its output that it takes of world research.
- Computer ScienceField · 20.3 works5.2×
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.
Which keywords describe research at Sri Ramakrishna Engineering College?
By fractional works in all years, weighted toward what it does more of than the world: Deep Learning, Machine Learning, Tool Wear, Convolutional Neural Networks, Parameter Estimation, Wireless Networks, Resource Allocation and Feature Selection.
- Graph Cuts
- Model Predictive Control
- Intrusion Detection
- Channel Assignment
- Material Removal Mechanism
- Distributed Systems
- Texture Analysis
- High-Performance Computing
- Surface Integrity
- Molecular Dynamics Simulation
- Machining
- Evolutionary Algorithms
- Wireless Sensor Networks
- Fault Tolerance
- Optimization
- Resource Allocation
- Feature Selection
- Parameter Estimation
- Convolutional Neural Networks
- Machine Learning
- Deep Learning
- Tool Wear
- Energy Efficiency
- Wireless Networks
- Neural Networks
- Classification
- Power Electronics
- Power Control
- Electrical Discharge Machining
- Induction Motors
- Micromachining
- Sensorless Control
- Renewable Energy Integration
- Machine Vision
- Chemical Mechanical Planarization
- Low-Power
- Medical Image Analysis
- Clustering Algorithms
- Local Binary Patterns
- Multilevel Converters
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
- Deep Learning7▲ 5.7×20 topics
- Machine Learning5▲ 4.0×14 topics
- Tool Wear3▲ 33×2 topics
- Convolutional Neural Networks3▲ 11×7 topics
- Energy Efficiency2▲ 4.7×7 topics
- Parameter Estimation2▲ 29×2 topics
- Wireless Networks2▲ 15×4 topics
- Feature Selection2▲ 18×5 topics
- Neural Networks2▲ 3.2×6 topics
- Resource Allocation2▲ 14×4 topics
- Classification2▲ 8.7×4 topics
- Optimization2▲ 5.7×3 topics
- Power Electronics2▲ 11×3 topics
- Fault Tolerance2▲ 15×3 topics
- Power Control2▲ 24×3 topics
- Wireless Sensor Networks2▲ 7.1×4 topics
- Electrical Discharge Machining2▲ 121×1 topic
- Evolutionary Algorithms2▲ 23×3 topics
- Induction Motors2▲ 48×1 topic
- Machining2▲ 49×1 topic
- Micromachining2▲ 50×1 topic
- Molecular Dynamics Simulation2▲ 17×2 topics
- Sensorless Control2▲ 113×1 topic
- Surface Integrity2▲ 49×1 topic
- Renewable Energy Integration1▲ 9.7×2 topics
- High-Performance Computing1▲ 16×2 topics
- Machine Vision1▲ 12×5 topics
- Texture Analysis1▲ 16×2 topics
- Chemical Mechanical Planarization1▲ 35×1 topic
- Distributed Systems1▲ 8.3×3 topics
- Low-Power1▲ 30×2 topics
- Material Removal Mechanism1▲ 35×1 topic
- Medical Image Analysis1▲ 17×2 topics
- Channel Assignment1▲ 18×2 topics
- Clustering Algorithms1▲ 17×3 topics
- Intrusion Detection1▲ 20×3 topics
- Local Binary Patterns1▲ 23×2 topics
- Model Predictive Control1▲ 8.5×1 topic
- Multilevel Converters1▲ 43×1 topic
- Graph Cuts1▲ 45×1 topic
Which research topics does Sri Ramakrishna Engineering College publish most on?
By volume: Advanced machining processes and optimization, Advanced Machining and Optimization Techniques, Sensorless Control of Electric Motors and Advanced Surface Polishing Techniques.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Advanced machining processes and optimization Mechanical Engineering 2 works
- 2 Advanced Machining and Optimization Techniques Electrical and Electronic Engineering 2 works
- 3 Sensorless Control of Electric Motors Electrical and Electronic Engineering 2 works
- 4 Advanced Surface Polishing Techniques Biomedical Engineering 1 works
- 5 Multilevel Inverters and Converters Electrical and Electronic Engineering 1 works
- 6 Medical Image Segmentation Techniques Computer Vision and Pattern Recognition 1 works
- 7 Electric Motor Design and Analysis Electrical and Electronic Engineering 1 works
- 8 Handwritten Text Recognition Techniques Computer Vision and Pattern Recognition 1 works
- 9 Image Retrieval and Classification Techniques Computer Vision and Pattern Recognition 1 works
- 10 Parallel Computing and Optimization Techniques Hardware and Architecture 1 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 Sri Ramakrishna Engineering College's research output changed?
Output in 2018–2022 was 100% 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 Coimbatore
- Sri Eshwar College of Engineering
- Anna University Regional Campus, Coimbatore
- Dr. N.G.P. Institute of Technology
- JCT College Of Engineering And Technology
- Adithya Institute of Technology
- Study World College of Engineering
- Kumaraguru College of Technology
- Karpagam Hospital
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.