REVA University
In research, REVA University stands highest in Engineering (#1,079 of 6,636 worldwide), Physical Sciences (#2,363 of 12,888 worldwide) and Computer Science (#1,373 of 4,667 worldwide), 2022–2025. Relative to its size it is most specialised in Health Information Management, Signal Processing and Computer Networks and Communications — Health Information Management is 6.2× its share of world research.
- World rank, 2022–2025
- #3,431 of 28,054 · #6,796 all time
- Rank in India
- #214 of 1,840
- Research works
- 4.5k ▲ 297% vs 2013–17
- Citations
- 26k 5.9 per fractional work
- Top-10% rate
- 11.0% record average 16.5%
- Open access
- 38% world 28%
What is REVA 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 |
|---|---|---|---|---|---|
| EngineeringField | #1,079 of 6,636 | 8.8% | 786 | #1775 | |
| Physical SciencesDomain | #2,363 of 12,888 | 10.4% | 1,847 | #4599 | |
| Computer ScienceField | #1,373 of 4,667 | 12.0% | 706 | #2392 | |
| Electrical and Electronic EngineeringSubfield | #860 of 2,318 | 8.4% | 258 | #1421 | |
| Health SciencesDomain | #5,346 of 11,982 | 14.6% | 211 | #11549 | |
| Social SciencesDomain | #4,763 of 10,521 | 12.1% | 314 | #7360 | |
| Materials ScienceField | #1,159 of 2,468 | 13.6% | 116 | #2891 | |
| Information SystemsSubfield | #643 of 1,291 | 18.2% | 128 | #1119 | |
| Social SciencesField | #3,234 of 6,365 | 13.0% | 92 | #4495 | |
| Life SciencesDomain | #3,968 of 7,800 | 11.1% | 245 | #9857 |
Each strip is that field’s whole ranked pool, with the notch where REVA 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.
- Engineering#1,775 #1,079
- Physical Sciences#4,599 #2,363
- Computer Science#2,392 #1,373
- Electrical and Electronic Engineering#1,421 #860
- Health Sciences#11,549 #5,346
- Social Sciences#7,360 #4,763
- Materials Science#2,891 #1,159
- Information Systems#1,119 #643
- Social Sciences#4,495 #3,234
- Life Sciences#9,857 #3,968
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
What does REVA University specialise in?
Where its research is concentrated relative to its size: Health Information Management takes 6.2× the share of its output that it takes of world research.
- Health Information ManagementSubfield · 41.9 works6.2×
- Signal ProcessingSubfield · 47.2 works6.0×
- Computer Networks and CommunicationsSubfield · 127.5 works5.5×
- Computer Vision and Pattern RecognitionSubfield · 146.0 works4.4×
- Media TechnologySubfield · 29.0 works3.5×
- Automotive EngineeringSubfield · 48.8 works3.5×
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, 3.5×. Every wedge is a field page.
- Computer Science 3.5×
- Energy 2.1×
- Engineering 2.0×
- Decision Sciences 1.6×
- Chemistry 1.3×
- Neuroscience 1.3×
- Materials Science 1.3×
- Chemical Engineering 1.1×
- Business, Management and Accounting 0.9×
- Agricultural and Biological Sciences 0.9×
- Health Professions 0.8×
- Environmental Science 0.7×
- Economics, Econometrics and Finance 0.7×
- Psychology 0.6×
- Biochemistry, Genetics and Molecular Biology 0.5×
- Pharmacology, Toxicology and Pharmaceutics 0.5×
- Mathematics 0.3×
- Medicine 0.3×
- Physics and Astronomy 0.3×
- Social Sciences 0.3×
- Nursing 0.3×
- Arts and Humanities 0.3×
- Dentistry 0.2×
- Immunology and Microbiology 0.2×
- Earth and Planetary Sciences 0.2×
- Veterinary 0.1×
Who are the top researchers at REVA University?
Ranked on the composite score, Neeraj Priyadarshi, Mahabaleshwar S. Kakkasageri and V. Muthukumaran lead among researchers whose main affiliation is REVA University.
- 1 Neeraj Priyadarshi India · #332,923 worldwide 257 citations · 33 works
- 2 Mahabaleshwar S. Kakkasageri India · #522,609 worldwide 74 citations · 23 works
- 3 V. Muthukumaran India · #606,495 worldwide 78 citations · 17 works
- 4 Sunilkumar S. Manvi India · #634,107 worldwide 196 citations · 83 works
- 5 Syed Thouheed Ahmed India · #728,283 worldwide 54 citations · 21 works
- 6 Rajashekhar C. Biradar India · #801,974 worldwide 94 citations · 39 works
- 7 Mohammed Riyaz Ahmed India · #819,003 worldwide 47 citations · 24 works
- 8 Syed Muzamil Basha India · #873,981 worldwide 67 citations · 19 works
- 9 Kiran Kumari Patil India · #1,023,584 worldwide 45 citations · 21 works
- 10 Farooque Azam India · #1,210,988 worldwide 69 citations · 17 works
Which keywords describe research at REVA University?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Machine Learning, Convolutional Neural Networks, Internet of Things, Security, Healthcare, Neural Networks and Wireless Sensor Networks.
- Edge Computing
- Intrusion Detection
- 5G Networks
- Classification Models
- Transfer Learning
- Power Electronics
- Plant Disease Detection
- Renewable Energy Integration
- Smart Cities
- Big Data Analytics
- Supply Chain Management
- Medical Imaging
- Feature Selection
- Image Processing
- IoT Security
- IoT
- Wireless Sensor Networks
- Convolutional Neural Networks
- Internet of Things
- Machine Learning
- Deep Learning
- Neural Networks
- Healthcare
- Security
- Data Mining
- Environmental Monitoring
- Feature Extraction
- Artificial Intelligence
- Energy Efficiency
- Classification
- Privacy
- Smart Farming
- Anomaly Detection
- Internet of Things (IoT)
- Cybersecurity
- Electric Vehicles
- Security and Privacy
- Medical Diagnosis
- Smart Home
- Mobile Edge Computing
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 Learning505▲ 5.6×74 topics
- Machine Learning398▲ 4.7×84 topics
- Neural Networks144▲ 3.6×34 topics
- Internet of Things132▲ 5.8×23 topics
- Healthcare131▲ 4.4×14 topics
- Convolutional Neural Networks130▲ 6.8×14 topics
- Security116▲ 6.8×20 topics
- Wireless Sensor Networks99▲ 8.4×20 topics
- Data Mining96▲ 4.9×17 topics
- IoT82▲ 8.4×18 topics
- Environmental Monitoring79▲ 7.9×8 topics
- IoT Security78▲ 9.3×3 topics
- Feature Extraction77▲ 6.4×10 topics
- Image Processing76▲ 6.5×11 topics
- Artificial Intelligence73▲ 2.0×36 topics
- Feature Selection66▲ 11×6 topics
- Energy Efficiency66▲ 2.7×35 topics
- Medical Imaging64▲ 4.8×8 topics
- Classification63▲ 5.2×10 topics
- Supply Chain Management61▲ 2.5×17 topics
- Privacy57▲ 7.3×6 topics
- Big Data Analytics55▲ 9.8×5 topics
- Smart Farming52▲ 17×2 topics
- Smart Cities51▲ 7.5×7 topics
- Anomaly Detection50▲ 6.5×5 topics
- Renewable Energy Integration48▲ 5.4×5 topics
- Internet of Things (IoT)47▲ 16×1 topic
- Plant Disease Detection47▲ 17×1 topic
- Cybersecurity46▲ 7.3×4 topics
- Power Electronics43▲ 5.0×8 topics
- Electric Vehicles43▲ 5.5×5 topics
- Transfer Learning41▲ 8.2×3 topics
- Security and Privacy40▲ 7.9×3 topics
- Classification Models39▲ 16×1 topic
- Medical Diagnosis39▲ 16×1 topic
- 5G Networks39▲ 7.3×5 topics
- Smart Home38▲ 8.6×4 topics
- Intrusion Detection37▲ 9.6×4 topics
- Mobile Edge Computing35▲ 8.5×2 topics
- Edge Computing34▲ 10×2 topics
Which research topics does REVA University publish most on?
By volume in 2022–2025: Smart Agriculture and AI, Artificial Intelligence in Healthcare, Blockchain Technology Applications and Security and IoT and Edge/Fog Computing.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Smart Agriculture and AI Plant Science 47 works
- 2 Artificial Intelligence in Healthcare Health Information Management 39 works
- 3 Blockchain Technology Applications and Security Information Systems 32 works
- 4 IoT and Edge/Fog Computing Computer Networks and Communications 31 works
- 5 Network Security and Intrusion Detection Computer Networks and Communications 30 works
- 6 IoT-based Smart Home Systems Electrical and Electronic Engineering 26 works
- 7 Brain Tumor Detection and Classification Neurology 24 works
- 8 AI in cancer detection Artificial Intelligence 24 works
- 9 Advanced Battery Technologies Research Automotive Engineering 20 works
- 10 Advanced Malware Detection Techniques Signal Processing 17 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 REVA University's research output changed?
Output in 2018–2022 was 297% 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.