- World rank, 2022–2025
- #22,246 of 28,054
- Rank in India
- #1,485 of 1,840
- Research works
- 91 fractional, all time
- Citations
- 316 3.5 per fractional work
- Top-10% rate
- 17.9% record average 16.5%
- Open access
- 37% world 28%
What does G. M. Reddy Research Foundation specialise in?
Where its research is concentrated relative to its size: Computer Science takes 4.5× the share of its output that it takes of world research.
- Computer ScienceField · 26.0 works4.5×
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, 4.5×. Every wedge is a field page.
- Computer Science 4.5×
- Health Professions 2.2×
- Decision Sciences 1.6×
- Agricultural and Biological Sciences 1.5×
- Psychology 1.3×
- Neuroscience 1.1×
- Energy 1.0×
- Engineering 1.0×
- Chemical Engineering 0.9×
- Physics and Astronomy 0.8×
- Chemistry 0.8×
- Business, Management and Accounting 0.7×
- Materials Science 0.7×
- Economics, Econometrics and Finance 0.6×
- Biochemistry, Genetics and Molecular Biology 0.6×
- Social Sciences 0.5×
- Dentistry 0.5×
- Medicine 0.4×
- Nursing 0.2×
- Environmental Science 0.2×
- Earth and Planetary Sciences 0.2×
- Mathematics 0.1×
- Immunology and Microbiology 0.0×
Which keywords describe research at G. M. Reddy Research Foundation?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Machine Learning, Data Mining, Healthcare, Feature Selection, Neural Networks, Big Data Analytics and Wireless Sensor Networks.
- Wireless
- Plant Disease Detection
- Internet of Things (IoT)
- Face Recognition
- Ensemble Methods
- Text Classification
- Smart Home
- Information Retrieval
- Text Mining
- Online Learning
- Image Processing
- Anomaly Detection
- Artificial Intelligence
- Medical Diagnosis
- Feature Extraction
- Security
- Internet of Things
- Feature Selection
- Healthcare
- Machine Learning
- Deep Learning
- Data Mining
- Neural Networks
- Big Data Analytics
- Convolutional Neural Networks
- Wireless Sensor Networks
- Classification Models
- Classification
- IoT Security
- Environmental Monitoring
- IoT
- Cybersecurity
- Student Satisfaction
- Sensors
- Support Vector Machines
- Smart Farming
- Intrusion Detection
- Home Automation
- Medical Image Analysis
- Transfer Learning
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 Learning20▲ 7.8×45 topics
- Machine Learning17▲ 7.0×35 topics
- Data Mining6▲ 11×5 topics
- Healthcare6▲ 7.4×6 topics
- Neural Networks6▲ 5.0×14 topics
- Feature Selection5▲ 33×4 topics
- Big Data Analytics4▲ 25×2 topics
- Internet of Things4▲ 6.0×6 topics
- Convolutional Neural Networks4▲ 6.9×8 topics
- Security4▲ 7.5×10 topics
- Wireless Sensor Networks4▲ 11×5 topics
- Feature Extraction3▲ 10×9 topics
- Classification Models3▲ 49×1 topic
- Medical Diagnosis3▲ 46×1 topic
- Classification3▲ 9.3×7 topics
- Artificial Intelligence3▲ 3.0×9 topics
- IoT Security3▲ 13×3 topics
- Anomaly Detection3▲ 13×3 topics
- Environmental Monitoring3▲ 9.2×4 topics
- Image Processing2▲ 7.7×3 topics
- IoT2▲ 9.2×7 topics
- Online Learning2▲ 4.0×4 topics
- Cybersecurity2▲ 14×3 topics
- Text Mining2▲ 22×5 topics
- Student Satisfaction2▲ 15×2 topics
- Information Retrieval2▲ 12×2 topics
- Sensors2▲ 20×3 topics
- Smart Home2▲ 16×2 topics
- Support Vector Machines2▲ 8.1×4 topics
- Text Classification2▲ 16×2 topics
- Smart Farming2▲ 22×2 topics
- Ensemble Methods2▲ 31×2 topics
- Intrusion Detection2▲ 16×2 topics
- Face Recognition2▲ 19×2 topics
- Home Automation2▲ 46×1 topic
- Internet of Things (IoT)2▲ 19×1 topic
- Medical Image Analysis2▲ 12×4 topics
- Plant Disease Detection2▲ 20×1 topic
- Transfer Learning2▲ 11×2 topics
- Wireless2▲ 42×1 topic
Which research topics does G. M. Reddy Research Foundation publish most on?
By volume in 2022–2025: Artificial Intelligence in Healthcare, IoT-based Smart Home Systems, Smart Agriculture and AI and Network Security and Intrusion Detection.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Artificial Intelligence in Healthcare Health Information Management 3 works
- 2 IoT-based Smart Home Systems Electrical and Electronic Engineering 2 works
- 3 Smart Agriculture and AI Plant Science 2 works
- 4 Network Security and Intrusion Detection Computer Networks and Communications 2 works
- 5 Technology-Enhanced Education Studies Education 1 works
- 6 Cutaneous Melanoma Detection and Management Oncology 1 works
- 7 Text and Document Classification Technologies Artificial Intelligence 1 works
- 8 Face and Expression Recognition Computer Vision and Pattern Recognition 1 works
- 9 Online and Blended Learning Education 1 works
- 10 Sleep and Work-Related Fatigue Experimental and Cognitive Psychology 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 G. M. Reddy Research Foundation'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.
Other research institutions in Hyderabad
- University of Hyderabad
- Indian Institute of Chemical Technology
- Osmania University
- Jawaharlal Nehru Technological University, Hyderabad
- Birla Institute of Technology and Science - Hyderabad Campus
- L V Prasad Eye Institute
- English and Foreign Languages University
- National Geophysical Research Institute
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.