REVA University
In research, REVA University stands highest in Physical Sciences (#2,452 of 10,670 worldwide), Computer Science (#1,812 of 4,417 worldwide) and Engineering (#2,630 of 5,901 worldwide), 2022-now. Relative to its size it is most specialised in Health Information Management, Signal Processing and Computer Networks and Communications (Health Information Management is 6.0× its share of world research).
- World rank, 2022-now
- #4,357 of 22,385 · #6,240 all time
- Rank in India
- #150 of 1,562
- Research works
- 4.5k ▲ 157% vs 2018-21
- Citations
- 26k 5.9 per fractional work
- Top-10% rate
- 4.5% all institutions 10.0%
- vs its own fields
- 0.66× 1.00× is exactly expected
- Open access
- 38% world 40%
- International
- 10% world 18%
What is REVA University known for in research?
The fields where it stands highest, 2022-now, ranked among every institution above the floor in each field.
| Field | World rank | Where that sits | Top-10% rate | Works | All time |
|---|---|---|---|---|---|
| Physical SciencesDomain | #2,452 of 10,670 | 4.4% | 1,847 | #3169 | |
| Computer ScienceField | #1,812 of 4,417 | 4.3% | 706 | #2263 | |
| EngineeringField | #2,630 of 5,901 | 4.0% | 786 | #2996 | |
| Electrical and Electronic EngineeringSubfield | #1,270 of 2,176 | 5.6% | 258 | #1851 | |
| Computer Networks and CommunicationsSubfield | #532 of 728 | 4.2% | 127 | #985 | |
| Information SystemsSubfield | #982 of 1,321 | 6.2% | 128 | #1560 | |
| Artificial IntelligenceSubfield | #1,385 of 1,862 | 4.2% | 194 | #1875 | |
| Plant ScienceSubfield | #1,005 of 1,317 | 5.9% | 81 | - | |
| Computer Vision and Pattern RecognitionSubfield | #752 of 963 | 3.9% | 146 | #1268 | |
| Health SciencesDomain | #7,806 of 9,902 | 5.8% | 211 | #12156 |
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 average mark, because the average differs by field (from about 6% in Dentistry to 21% in Economics).
Which of those standings moved
The same fields on both windows: where it stood over the whole record, and where it stands in 2022-now. The distance is the story, and it is the one thing the two rank columns above cannot show.
- Physical Sciences#3,169 #2,452
- Computer Science#2,263 #1,812
- Engineering#2,996 #2,630
- Electrical and Electronic Engineering#1,851 #1,270
- Computer Networks and Communications#985 #532
- Information Systems#1,560 #982
- Artificial Intelligence#1,875 #1,385
- Computer Vision and Pattern Recognition#1,268 #752
- Health Sciences#12,156 #7,806
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
Which fields of science does REVA University work in?
In 2022-now, 70% of research at REVA University is in Physical Sciences, 12% in Social Sciences. Its largest fields are Engineering (29%), Computer Science (27%), Medicine (6%). It does 1.8× the world's share of Physical Sciences.
Each ring splits the one inside it: the four domains of science, their fields, their subfields. Size is fractional works in 2022-now. Every slice is a page; the interactive view zooms down to single topics and colours each by how much more of it this institution does than the world.
Its 4 domains and 26 fields, with their numbers
- Physical Sciences2,04170.2%
- Engineering85129.3%
- Computer Science79227.2%
- Materials Science1344.6%
- Environmental Science1043.6%
- Chemistry582.0%
- Energy561.9%
- Physics and Astronomy180.6%
- Mathematics110.4%
- Chemical Engineering100.4%
- Earth and Planetary Sciences80.3%
- Social Sciences35312.1%
- Social Sciences1073.7%
- Business, Management and Accounting852.9%
- Psychology531.8%
- Decision Sciences441.5%
- Economics, Econometrics and Finance401.4%
- Arts and Humanities240.8%
- Life Sciences2739.4%
- Health Sciences2428.3%
- Medicine1786.1%
- Health Professions561.9%
- Dentistry40.1%
- Nursing40.1%
- Veterinary00.0%
What does REVA University specialise in?
Where its research is concentrated relative to its size: Health Information Management takes 6.0× the share of its output that it takes of world research.
- Health Information ManagementSubfield · 44.5 works6.0×
- Signal ProcessingSubfield · 49.9 works5.7×
- Computer Networks and CommunicationsSubfield · 143.0 works5.5×
- Computer Vision and Pattern RecognitionSubfield · 157.2 works4.3×
- Computer ScienceField · 792.5 works3.5×
- Media TechnologySubfield · 30.5 works3.3×
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.
All 26 fields, with their numbers
- Computer Science3.50×792 works
- Energy2.08×56 works
- Engineering1.95×851 works
- Decision Sciences1.57×44 works
- Materials Science1.32×134 works
- Chemistry1.27×58 works
- Neuroscience1.24×58 works
- Chemical Engineering1.01×10 works
- Agricultural and Biological Sciences0.90×124 works
- Business, Management and Accounting0.90×85 works
- Health Professions0.73×56 works
- Environmental Science0.72×104 works
- Economics, Econometrics and Finance0.65×40 works
- Psychology0.60×53 works
- Biochemistry, Genetics and Molecular Biology0.51×80 works
- Pharmacology, Toxicology and Pharmaceutics0.50×5 works
- Medicine0.32×178 works
- Mathematics0.31×11 works
- Social Sciences0.29×106 works
- Physics and Astronomy0.28×18 works
- Dentistry0.28×4 works
- Arts and Humanities0.28×24 works
- Nursing0.25×4 works
- Immunology and Microbiology0.20×6 works
- Earth and Planetary Sciences0.17×8 works
- Veterinary0.09×0 works
- Computer Science 3.5×
- Energy 2.1×
- Engineering 1.9×
- Decision Sciences 1.6×
- Materials Science 1.3×
- Chemistry 1.3×
- Neuroscience 1.2×
- Chemical Engineering 1.0×
- Agricultural and Biological Sciences 0.9×
- Business, Management and Accounting 0.9×
- Health Professions 0.7×
- 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×
- Medicine 0.3×
- Mathematics 0.3×
- Social Sciences 0.3×
- Physics and Astronomy 0.3×
- Dentistry 0.3×
- Arts and Humanities 0.3×
- Nursing 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 quality score, Venkatesan Muthukumaran, Neelakanta Sarvashiva Kiran and Sikandar Imamsab Mulla lead among researchers whose main affiliation is REVA University.
- 1
Venkatesan Muthukumaran
India · #597,986 worldwide 1.3k citations · 88 works
- 2
Neelakanta Sarvashiva Kiran
India · #698,567 worldwide 613 citations · 68 works
- 3
Sikandar Imamsab Mulla
India · #832,037 worldwide 8.1k citations · 173 works
- 4
Chandrashekar Yashaswini
India · #917,147 worldwide 418 citations · 53 works
- 5
D. H. Nagaraju
India · #1,394,214 worldwide 3.2k citations · 100 works
- 6
S Supreeth
India · #1,664,601 worldwide 554 citations · 63 works
- 7
Syed Thouheed Ahmed
India · #1,703,906 worldwide 1.2k citations · 103 works
- 8
Farooque Azam
India · #1,739,697 worldwide 1.9k citations · 78 works
- 9
Karthick Vasudevan
India · #2,050,482 worldwide 1.3k citations · 137 works
- 10
Nitu Ghosh
India · #2,258,540 worldwide 202 citations · 48 works
Which keywords describe research at REVA University?
By fractional works in 2022-now, weighted toward what it does more of than the world: Deep Learning, Machine Learning, Internet of Things, Convolutional Neural Networks, Security, Neural Networks, Wireless Sensor Networks and Healthcare.
- Edge Computing
- Smart Home
- Intrusion Detection
- Classification Models
- Transfer Learning
- Electric Vehicles
- Plant Disease Detection
- Internet of Things (IoT)
- Smart Farming
- Smart Cities
- Privacy
- Medical Imaging
- Energy Efficiency
- Image Processing
- Artificial Intelligence
- IoT
- Wireless Sensor Networks
- Convolutional Neural Networks
- Healthcare
- Machine Learning
- Deep Learning
- Neural Networks
- Internet of Things
- Security
- Data Mining
- Environmental Monitoring
- IoT Security
- Feature Extraction
- Feature Selection
- Classification
- Big Data Analytics
- Anomaly Detection
- Cybersecurity
- Crop Yield Prediction
- Renewable Energy Integration
- Security and Privacy
- 5G Networks
- Medical Diagnosis
- Security Analysis
- Mobile Edge Computing
Size is fractional works in 2022-now 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 Learning553▲ 5.5×77 topics
- Machine Learning447▲ 4.6×90 topics
- Neural Networks165▲ 3.7×35 topics
- Healthcare145▲ 4.4×14 topics
- Internet of Things145▲ 5.8×25 topics
- Convolutional Neural Networks136▲ 6.4×14 topics
- Security130▲ 6.7×22 topics
- Wireless Sensor Networks112▲ 8.6×22 topics
- Data Mining105▲ 4.9×20 topics
- IoT90▲ 8.2×19 topics
- Environmental Monitoring88▲ 7.8×10 topics
- Artificial Intelligence87▲ 2.1×41 topics
- IoT Security85▲ 9.5×3 topics
- Image Processing82▲ 6.4×11 topics
- Feature Extraction81▲ 6.2×10 topics
- Energy Efficiency72▲ 2.7×35 topics
- Feature Selection71▲ 11×6 topics
- Medical Imaging69▲ 4.5×8 topics
- Classification68▲ 5.1×10 topics
- Privacy61▲ 7.3×7 topics
- Big Data Analytics60▲ 9.7×5 topics
- Smart Cities60▲ 7.8×7 topics
- Anomaly Detection57▲ 6.8×5 topics
- Smart Farming56▲ 17×2 topics
- Cybersecurity55▲ 7.6×4 topics
- Internet of Things (IoT)52▲ 15×2 topics
- Crop Yield Prediction51▲ 17×1 topic
- Plant Disease Detection51▲ 17×1 topic
- Renewable Energy Integration51▲ 5.3×5 topics
- Electric Vehicles45▲ 5.4×5 topics
- Security and Privacy44▲ 7.9×3 topics
- Transfer Learning43▲ 7.7×3 topics
- 5G Networks43▲ 7.3×5 topics
- Classification Models41▲ 16×1 topic
- Medical Diagnosis41▲ 16×1 topic
- Intrusion Detection40▲ 9.6×4 topics
- Security Analysis39▲ 8.1×4 topics
- Smart Home39▲ 8.4×4 topics
- Mobile Edge Computing39▲ 8.4×2 topics
- Edge Computing38▲ 10×2 topics
Which research topics does REVA University publish most on?
By volume in 2022-now: Smart Agriculture and AI, Artificial Intelligence in Healthcare, IoT and Edge/Fog Computing and Network Security and Intrusion Detection.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Smart Agriculture and AI Plant Science 51 works
- 2 Artificial Intelligence in Healthcare Health Information Management 41 works
- 3 IoT and Edge/Fog Computing Computer Networks and Communications 34 works
- 4 Network Security and Intrusion Detection Computer Networks and Communications 33 works
- 5 Blockchain Technology Applications and Security Information Systems 33 works
- 6 IoT-based Smart Home Systems Electrical and Electronic Engineering 27 works
- 7 AI in cancer detection Artificial Intelligence 25 works
- 8 Brain Tumor Detection and Classification Neurology 25 works
- 9 Advanced Battery Technologies Research Automotive Engineering 20 works
- 10 Advanced Malware Detection Techniques Signal Processing 18 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: 40% of research is openly available.
World: 18% is written across borders.
How has REVA University's research output changed?
Output in 2022-2025 was 157% higher than in 2018-2021.
The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.
Its share of all research
Growing output can still be a shrinking share: all of science grows. This is REVA University as a percentage of every work published that year, 0.013% in 2024.
Fractional works of REVA University over all fractional works that year. How the balance of science has shifted.
How much of it reaches the world top 10%
Year by year, against all institutions in the same year.
Of each year's output, the share that reached the world's 10% most cited for its field and year. Peak 14.2% in 2011.
Other research institutions in Bengaluru
- Indian Institute of Science Bangalore
- Christ University
- Department of Space
- Jain University
- National Institute of Mental Health and Neurosciences
- Bangalore University
- 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 have tabs of their own, above.
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