Centre for Artificial Intelligence and Robotics
In research, Centre for Artificial Intelligence and Robotics stands highest in Computer Science (#1,534 of 4,667 worldwide), Physical Sciences (#6,508 of 12,888 worldwide) and Engineering (#4,198 of 6,636 worldwide), 2022–2025. Relative to its size it is most specialised in Computer Vision and Pattern Recognition, Computer Networks and Communications and Artificial Intelligence — Computer Vision and Pattern Recognition is 9.7× its share of world research.
- World rank, 2022–2025
- #10,114 of 28,054 · #16,041 all time
- Rank in India
- #722 of 1,840
- Research works
- 1.3k ▲ 164% vs 2013–17
- Citations
- 7.2k 5.6 per fractional work
- Top-10% rate
- 11.6% record average 16.5%
- Open access
- 30% world 28%
What is Centre for Artificial Intelligence and Robotics 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 |
|---|---|---|---|---|---|
| Computer ScienceField | #1,534 of 4,667 | 12.6% | 285 | #2117 | |
| Physical SciencesDomain | #6,508 of 12,888 | 11.7% | 486 | #10219 | |
| EngineeringField | #4,198 of 6,636 | 10.2% | 154 | #7296 | |
| Artificial IntelligenceSubfield | #1,391 of 1,884 | 13.2% | 93 | #1961 | |
| Computer Vision and Pattern RecognitionSubfield | #706 of 941 | 10.5% | 82 | #1338 | |
| Health SciencesDomain | #9,046 of 11,982 | 12.2% | 69 | — | |
| Social SciencesDomain | #9,568 of 10,521 | 11.4% | 67 | — |
Each strip is that field’s whole ranked pool, with the notch where Centre for Artificial Intelligence and Robotics 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.
- Computer Science#2,117 #1,534
- Physical Sciences#10,219 #6,508
- Engineering#7,296 #4,198
- Artificial Intelligence#1,961 #1,391
- Computer Vision and Pattern Recognition#1,338 #706
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
What does Centre for Artificial Intelligence and Robotics specialise in?
Where its research is concentrated relative to its size: Computer Vision and Pattern Recognition takes 9.7× the share of its output that it takes of world research.
- Computer Vision and Pattern RecognitionSubfield · 81.6 works9.7×
- Computer Networks and CommunicationsSubfield · 37.2 works6.3×
- Artificial IntelligenceSubfield · 93.1 works5.8×
- Computer ScienceField · 284.6 works5.5×
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, 5.5×. Every wedge is a field page.
- Computer Science 5.5×
- Engineering 1.6×
- Neuroscience 1.5×
- Decision Sciences 1.4×
- Dentistry 0.9×
- Earth and Planetary Sciences 0.9×
- Psychology 0.8×
- Business, Management and Accounting 0.7×
- Health Professions 0.6×
- Environmental Science 0.6×
- Physics and Astronomy 0.5×
- Agricultural and Biological Sciences 0.4×
- Medicine 0.4×
- Biochemistry, Genetics and Molecular Biology 0.3×
- Energy 0.3×
- Social Sciences 0.3×
- Materials Science 0.2×
- Chemistry 0.2×
- Mathematics 0.2×
- Immunology and Microbiology 0.1×
- Arts and Humanities 0.1×
- Pharmacology, Toxicology and Pharmaceutics 0.1×
- Nursing 0.1×
- Economics, Econometrics and Finance 0.1×
- Chemical Engineering 0.1×
Who are the top researchers at Centre for Artificial Intelligence and Robotics?
Ranked on the composite score, Narayan Panigrahi and K. R. Prasanna Kumar lead among researchers whose main affiliation is Centre for Artificial Intelligence and Robotics.
- 1 Narayan Panigrahi · #1,173,191 worldwide 14 citations · 21 works
- 2 K. R. Prasanna Kumar · #1,632,266 worldwide 3 citations · 15 works
Which keywords describe research at Centre for Artificial Intelligence and Robotics?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Machine Learning, Neural Networks, Convolutional Neural Networks, Internet of Things, Feature Extraction, Artificial Intelligence and Healthcare.
- Medical Image Analysis
- Object Detection
- Intrusion Detection
- Convolutional Neural Network
- Information Retrieval
- Human-Computer Interaction
- Big Data Analytics
- Cloud Computing
- Computer Vision
- Transfer Learning
- Cybersecurity
- Environmental Monitoring
- IoT Security
- Data Mining
- Wireless Sensor Networks
- Feature Extraction
- Big Data
- Internet of Things
- Convolutional Neural Networks
- Machine Learning
- Deep Learning
- Neural Networks
- Artificial Intelligence
- Healthcare
- Security
- Medical Imaging
- Classification
- Remote Sensing
- Image Processing
- IoT
- Smart Cities
- Anomaly Detection
- Precision Medicine
- Support Vector Machines
- Image Classification
- Predictive Modeling
- Unsupervised Learning
- Image Recognition
- Multi-Agent Systems
- Semantic Segmentation
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 Learning197▲ 8.7×76 topics
- Machine Learning127▲ 5.8×77 topics
- Neural Networks70▲ 6.8×35 topics
- Convolutional Neural Networks48▲ 9.9×14 topics
- Artificial Intelligence38▲ 4.1×31 topics
- Internet of Things36▲ 6.1×22 topics
- Healthcare35▲ 4.6×9 topics
- Big Data31▲ 5.2×18 topics
- Security29▲ 6.7×18 topics
- Feature Extraction29▲ 9.4×10 topics
- Medical Imaging25▲ 7.4×8 topics
- Wireless Sensor Networks24▲ 8.1×17 topics
- Classification24▲ 7.9×10 topics
- Data Mining23▲ 4.6×14 topics
- Remote Sensing22▲ 2.7×19 topics
- IoT Security21▲ 9.8×3 topics
- Image Processing20▲ 6.7×12 topics
- Environmental Monitoring19▲ 7.7×9 topics
- IoT18▲ 7.4×13 topics
- Cybersecurity18▲ 11×5 topics
- Smart Cities16▲ 9.6×7 topics
- Transfer Learning16▲ 12×3 topics
- Anomaly Detection16▲ 8.1×4 topics
- Computer Vision15▲ 8.3×4 topics
- Precision Medicine15▲ 4.7×5 topics
- Cloud Computing14▲ 7.6×9 topics
- Support Vector Machines14▲ 6.4×8 topics
- Big Data Analytics14▲ 9.4×5 topics
- Image Classification12▲ 11×3 topics
- Human-Computer Interaction12▲ 10×5 topics
- Predictive Modeling11▲ 6.2×4 topics
- Information Retrieval11▲ 7.5×4 topics
- Unsupervised Learning11▲ 11×3 topics
- Convolutional Neural Network11▲ 10×4 topics
- Image Recognition10▲ 12×2 topics
- Intrusion Detection10▲ 11×3 topics
- Multi-Agent Systems10▲ 8.2×5 topics
- Object Detection10▲ 12×1 topic
- Semantic Segmentation10▲ 12×1 topic
- Medical Image Analysis10▲ 8.1×4 topics
Which research topics does Centre for Artificial Intelligence and Robotics publish most on?
By volume in 2022–2025: Advanced Neural Network Applications, Network Security and Intrusion Detection, Topic Modeling and Smart Agriculture and AI.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Advanced Neural Network Applications Computer Vision and Pattern Recognition 10 works
- 2 Network Security and Intrusion Detection Computer Networks and Communications 8 works
- 3 Topic Modeling Artificial Intelligence 8 works
- 4 Smart Agriculture and AI Plant Science 8 works
- 5 IoT and Edge/Fog Computing Computer Networks and Communications 8 works
- 6 Brain Tumor Detection and Classification Neurology 6 works
- 7 Anomaly Detection Techniques and Applications Artificial Intelligence 6 works
- 8 COVID-19 diagnosis using AI Radiology, Nuclear Medicine and Imaging 6 works
- 9 Face recognition and analysis Computer Vision and Pattern Recognition 6 works
- 10 Robotic Path Planning Algorithms Computer Vision and Pattern Recognition 6 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 Centre for Artificial Intelligence and Robotics's research output changed?
Output in 2018–2022 was 164% 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 Bengaluru
- Indian Institute of Science Bangalore
- Christ University
- Jain University
- National Institute of Mental Health and Neurosciences
- Bangalore University
- Indian Space Research Organisation
- PES University
- M S Ramaiah University of Applied Sciences
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.