Dayananda Sagar University
In research, Dayananda Sagar University stands highest in Physical Sciences (#4,908 of 12,888 worldwide), Health Sciences (#5,925 of 11,982 worldwide) and Engineering (#3,846 of 6,636 worldwide), 2022–2025. Relative to its size it is most specialised in Computer Networks and Communications — Computer Networks and Communications is 4.7× its share of world research.
- World rank, 2022–2025
- #6,718 of 28,054 · #15,879 all time
- Rank in India
- #479 of 1,840
- Research works
- 771 ▲ 766% vs 2013–17
- Citations
- 5.1k 6.6 per fractional work
- Top-10% rate
- 14.8% record average 16.5%
- Open access
- 34% world 28%
What is Dayananda Sagar University 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 |
|---|---|---|---|---|---|
| Physical SciencesDomain | #4,908 of 12,888 | 15.5% | 281 | #10167 | |
| Health SciencesDomain | #5,925 of 11,982 | 11.7% | 91 | #15380 | |
| EngineeringField | #3,846 of 6,636 | 15.0% | 105 | #8034 | |
| Computer ScienceField | #3,263 of 4,667 | 14.0% | 124 | #5768 | |
| Life SciencesDomain | #6,498 of 7,800 | 13.3% | 68 | — | |
| MedicineField | #9,428 of 10,443 | 10.1% | 73 | — |
Each strip is that field’s whole ranked pool, with the notch where Dayananda Sagar University 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.
- Physical Sciences#10,167 #4,908
- Health Sciences#15,380 #5,925
- Engineering#8,034 #3,846
- Computer Science#5,768 #3,263
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
What does Dayananda Sagar University specialise in?
Where its research is concentrated relative to its size: Computer Networks and Communications takes 4.7× the share of its output that it takes of world research.
- Computer Networks and CommunicationsSubfield · 20.4 works4.7×
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: Pharmacology, Toxicology and Pharmaceutics, 3.3×. Every wedge is a field page.
- Pharmacology, Toxicology and Pharmaceutics 3.3×
- Computer Science 3.3×
- Engineering 1.4×
- Neuroscience 1.4×
- Decision Sciences 1.3×
- Health Professions 1.2×
- Chemistry 1.1×
- Biochemistry, Genetics and Molecular Biology 1.1×
- Materials Science 1.1×
- Agricultural and Biological Sciences 0.9×
- Energy 0.8×
- Medicine 0.8×
- Nursing 0.7×
- Economics, Econometrics and Finance 0.7×
- Physics and Astronomy 0.7×
- Immunology and Microbiology 0.6×
- Psychology 0.6×
- Business, Management and Accounting 0.6×
- Mathematics 0.4×
- Environmental Science 0.4×
- Chemical Engineering 0.4×
- Dentistry 0.4×
- Earth and Planetary Sciences 0.3×
- Social Sciences 0.2×
- Veterinary 0.1×
- Arts and Humanities 0.0×
Which keywords describe research at Dayananda Sagar University?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Machine Learning, Healthcare, Internet of Things, Convolutional Neural Networks, Feature Selection, Wireless Sensor Networks and Neural Networks.
- Histopathology Images
- Edge Computing
- Internet of Things (IoT)
- Emotion Recognition
- Anomaly Detection
- Cybersecurity
- 5G Networks
- Medical Image Analysis
- Classification Models
- Smart Cities
- Big Data
- Biomedical Applications
- Image Processing
- Big Data Analytics
- Security
- Medical Imaging
- Data Mining
- Convolutional Neural Networks
- Neural Networks
- Machine Learning
- Deep Learning
- Healthcare
- Internet of Things
- Artificial Intelligence
- Wireless Sensor Networks
- Feature Selection
- Feature Extraction
- Energy Efficiency
- IoT
- IoT Security
- Environmental Monitoring
- Classification
- Medical Diagnosis
- Transfer Learning
- Security and Privacy
- Smart Farming
- Mobile Edge Computing
- Human-Computer Interaction
- Plant Disease Detection
- Computer-Aided Detection
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 Learning81▲ 4.9×69 topics
- Machine Learning71▲ 4.5×74 topics
- Healthcare26▲ 4.8×11 topics
- Neural Networks24▲ 3.2×33 topics
- Internet of Things21▲ 5.0×17 topics
- Convolutional Neural Networks20▲ 5.6×13 topics
- Artificial Intelligence19▲ 2.9×28 topics
- Data Mining19▲ 5.2×15 topics
- Wireless Sensor Networks16▲ 7.3×12 topics
- Medical Imaging16▲ 6.4×8 topics
- Feature Selection16▲ 15×6 topics
- Security15▲ 4.9×14 topics
- Feature Extraction15▲ 6.7×10 topics
- Big Data Analytics12▲ 12×4 topics
- Energy Efficiency12▲ 2.6×19 topics
- Image Processing12▲ 5.5×12 topics
- IoT12▲ 6.5×12 topics
- Biomedical Applications11▲ 1.91×25 topics
- IoT Security11▲ 7.0×3 topics
- Big Data11▲ 2.4×19 topics
- Environmental Monitoring11▲ 5.8×5 topics
- Smart Cities10▲ 8.0×7 topics
- Classification10▲ 4.3×11 topics
- Classification Models9▲ 21×1 topic
- Medical Diagnosis9▲ 20×1 topic
- Medical Image Analysis9▲ 9.9×4 topics
- Transfer Learning9▲ 9.3×2 topics
- 5G Networks8▲ 8.0×5 topics
- Security and Privacy8▲ 8.3×3 topics
- Cybersecurity7▲ 6.4×5 topics
- Smart Farming7▲ 12×2 topics
- Anomaly Detection7▲ 4.8×3 topics
- Mobile Edge Computing7▲ 8.8×2 topics
- Emotion Recognition6▲ 7.0×3 topics
- Human-Computer Interaction6▲ 7.0×4 topics
- Internet of Things (IoT)6▲ 11×1 topic
- Plant Disease Detection6▲ 12×1 topic
- Edge Computing6▲ 9.2×2 topics
- Computer-Aided Detection6▲ 13×1 topic
- Histopathology Images6▲ 13×1 topic
Which research topics does Dayananda Sagar University publish most on?
By volume in 2022–2025: Artificial Intelligence in Healthcare, Smart Agriculture and AI, AI in cancer detection and IoT and Edge/Fog Computing.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Artificial Intelligence in Healthcare Health Information Management 9 works
- 2 Smart Agriculture and AI Plant Science 6 works
- 3 AI in cancer detection Artificial Intelligence 5 works
- 4 IoT and Edge/Fog Computing Computer Networks and Communications 5 works
- 5 COVID-19 diagnosis using AI Radiology, Nuclear Medicine and Imaging 4 works
- 6 Computational Drug Discovery Methods Computational Theory and Mathematics 4 works
- 7 Blockchain Technology Applications and Security Information Systems 4 works
- 8 Brain Tumor Detection and Classification Neurology 4 works
- 9 Network Security and Intrusion Detection Computer Networks and Communications 4 works
- 10 Advanced Fiber Optic Sensors Electrical and Electronic Engineering 4 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 Dayananda Sagar University's research output changed?
Output in 2018–2022 was 766% 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.