Rajalakshmi Engineering College
In research, Rajalakshmi Engineering College stands highest in Health Sciences (#2,306 of 11,982 worldwide), Physical Sciences (#2,845 of 12,888 worldwide) and Engineering (#1,522 of 6,636 worldwide), 2022–2025. Relative to its size it is most specialised in Health Information Management, Neurology and Computer Networks and Communications — Health Information Management is 8.5× its share of world research.
- World rank, 2022–2025
- #3,469 of 28,054 · #8,923 all time
- Rank in ??
- #38 of 692
- Research works
- 2.5k ▲ 224% vs 2013–17
- Citations
- 20k 8.0 per fractional work
- Top-10% rate
- 19.0% record average 16.5%
- Open access
- 24% world 28%
What is Rajalakshmi Engineering College 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 |
|---|---|---|---|---|---|
| Health SciencesDomain | #2,306 of 11,982 | 23.1% | 152 | #7291 | |
| Physical SciencesDomain | #2,845 of 12,888 | 17.1% | 1,084 | #6708 | |
| EngineeringField | #1,522 of 6,636 | 11.9% | 476 | #3944 | |
| Computer ScienceField | #1,250 of 4,667 | 22.4% | 428 | #3017 | |
| MedicineField | #2,891 of 10,443 | 18.7% | 109 | #8833 | |
| Artificial IntelligenceSubfield | #702 of 1,884 | 23.7% | 119 | #1772 | |
| Information SystemsSubfield | #588 of 1,291 | 30.6% | 70 | — | |
| Computer Networks and CommunicationsSubfield | #354 of 705 | 22.1% | 72 | #1486 | |
| Social SciencesDomain | #5,679 of 10,521 | 24.3% | 119 | #10487 | |
| Computer Vision and Pattern RecognitionSubfield | #576 of 941 | 18.7% | 101 | #1527 |
Each strip is that field’s whole ranked pool, with the notch where Rajalakshmi Engineering College 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.
- Health Sciences#7,291 #2,306
- Physical Sciences#6,708 #2,845
- Engineering#3,944 #1,522
- Computer Science#3,017 #1,250
- Medicine#8,833 #2,891
- Artificial Intelligence#1,772 #702
- Computer Networks and Communications#1,486 #354
- Social Sciences#10,487 #5,679
- Computer Vision and Pattern Recognition#1,527 #576
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
What does Rajalakshmi Engineering College specialise in?
Where its research is concentrated relative to its size: Health Information Management takes 8.5× the share of its output that it takes of world research.
- Health Information ManagementSubfield · 32.6 works8.5×
- NeurologySubfield · 23.8 works5.7×
- Computer Networks and CommunicationsSubfield · 72.0 works5.4×
- Computer Vision and Pattern RecognitionSubfield · 100.5 works5.3×
- Signal ProcessingSubfield · 22.7 works5.0×
- Automotive EngineeringSubfield · 33.8 works4.2×
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, 3.7×. Every wedge is a field page.
- Computer Science 3.7×
- Engineering 2.1×
- Neuroscience 2.1×
- Energy 1.5×
- Chemical Engineering 1.2×
- Materials Science 1.2×
- Decision Sciences 1.2×
- Chemistry 1.0×
- Health Professions 1.0×
- Agricultural and Biological Sciences 0.9×
- Business, Management and Accounting 0.8×
- Environmental Science 0.7×
- Psychology 0.6×
- Mathematics 0.4×
- Dentistry 0.4×
- Medicine 0.4×
- Economics, Econometrics and Finance 0.3×
- Biochemistry, Genetics and Molecular Biology 0.3×
- Nursing 0.3×
- Earth and Planetary Sciences 0.2×
- Pharmacology, Toxicology and Pharmaceutics 0.2×
- Physics and Astronomy 0.1×
- Social Sciences 0.1×
- Arts and Humanities 0.1×
- Immunology and Microbiology 0.1×
- Veterinary 0.0×
Who are the top researchers at Rajalakshmi Engineering College?
Ranked on the composite score, P Kumar, M. Selvakumar and N. Venkateshwaran lead among researchers whose main affiliation is Rajalakshmi Engineering College.
- 1 P Kumar ?? · #413,848 worldwide 173 citations · 15 works
- 2 M. Selvakumar ?? · #427,779 worldwide 87 citations · 23 works
- 3 N. Venkateshwaran ?? · #501,946 worldwide 165 citations · 17 works
- 4 Sanjay Kumar Suman ?? · #576,732 worldwide 76 citations · 21 works
- 5 K. Bhaskar ?? · #742,248 worldwide 95 citations · 25 works
- 6 K. Vijay ?? · #769,449 worldwide 76 citations · 24 works
- 7 N. Sasirekha ?? · #817,282 worldwide 24 citations · 18 works
- 8 Senthil Pandi S ?? · #860,148 worldwide 75 citations · 41 works
- 9 M.G. Umamaheswari ?? · #926,203 worldwide 46 citations · 15 works
- 10 T. Manikandan ?? · #1,081,449 worldwide 11 citations · 20 works
Which keywords describe research at Rajalakshmi Engineering College?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Machine Learning, Internet of Things, Convolutional Neural Networks, Healthcare, Wireless Sensor Networks, Security and Image Processing.
- Smart Home
- Medical Image Analysis
- Security and Privacy
- Computer Vision
- Privacy
- Classification Models
- Smart Cities
- Plant Disease Detection
- Internet of Things (IoT)
- Big Data
- Feature Selection
- Big Data Analytics
- IoT Security
- Data Mining
- Feature Extraction
- Environmental Monitoring
- Security
- Neural Networks
- Healthcare
- Machine Learning
- Deep Learning
- Internet of Things
- Convolutional Neural Networks
- Wireless Sensor Networks
- Image Processing
- IoT
- Artificial Intelligence
- Medical Imaging
- Mechanical Properties
- Supply Chain Management
- Classification
- Smart Farming
- Crop Yield Prediction
- Transfer Learning
- Anomaly Detection
- Medical Diagnosis
- Renewable Energy Integration
- Image Segmentation
- Convolutional Neural Network
- RFID Technology
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 Learning347▲ 6.8×75 topics
- Machine Learning262▲ 5.4×87 topics
- Internet of Things91▲ 7.0×25 topics
- Healthcare90▲ 5.3×10 topics
- Convolutional Neural Networks81▲ 7.4×13 topics
- Neural Networks79▲ 3.4×34 topics
- Wireless Sensor Networks75▲ 11×20 topics
- Security70▲ 7.2×18 topics
- Image Processing65▲ 9.8×12 topics
- Environmental Monitoring62▲ 11×10 topics
- IoT61▲ 11×16 topics
- Feature Extraction60▲ 8.7×10 topics
- Artificial Intelligence58▲ 2.8×34 topics
- Data Mining58▲ 5.2×16 topics
- Medical Imaging51▲ 6.7×7 topics
- IoT Security44▲ 9.3×3 topics
- Mechanical Properties43▲ 3.0×24 topics
- Big Data Analytics41▲ 13×5 topics
- Supply Chain Management40▲ 2.9×14 topics
- Feature Selection39▲ 12×6 topics
- Classification39▲ 5.7×9 topics
- Big Data39▲ 2.9×21 topics
- Smart Farming38▲ 22×2 topics
- Internet of Things (IoT)36▲ 21×2 topics
- Crop Yield Prediction36▲ 23×1 topic
- Plant Disease Detection36▲ 23×1 topic
- Transfer Learning33▲ 12×3 topics
- Smart Cities33▲ 8.6×7 topics
- Anomaly Detection31▲ 7.0×4 topics
- Classification Models30▲ 22×1 topic
- Medical Diagnosis30▲ 21×1 topic
- Privacy30▲ 6.8×6 topics
- Renewable Energy Integration28▲ 5.6×5 topics
- Computer Vision26▲ 6.5×5 topics
- Image Segmentation26▲ 14×3 topics
- Security and Privacy26▲ 9.1×3 topics
- Convolutional Neural Network26▲ 11×4 topics
- Medical Image Analysis26▲ 9.3×4 topics
- RFID Technology26▲ 9.6×5 topics
- Smart Home25▲ 9.8×5 topics
Which research topics does Rajalakshmi Engineering College publish most on?
By volume in 2022–2025: Smart Agriculture and AI, Artificial Intelligence in Healthcare, Brain Tumor Detection and Classification and IoT-based Smart Home Systems.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Smart Agriculture and AI Plant Science 36 works
- 2 Artificial Intelligence in Healthcare Health Information Management 30 works
- 3 Brain Tumor Detection and Classification Neurology 23 works
- 4 IoT-based Smart Home Systems Electrical and Electronic Engineering 20 works
- 5 IoT and Edge/Fog Computing Computer Networks and Communications 19 works
- 6 Blockchain Technology Applications and Security Information Systems 18 works
- 7 Anomaly Detection Techniques and Applications Artificial Intelligence 14 works
- 8 Network Security and Intrusion Detection Computer Networks and Communications 14 works
- 9 IoT and GPS-based Vehicle Safety Systems Mechanical Engineering 14 works
- 10 EEG and Brain-Computer Interfaces Cognitive Neuroscience 13 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 Rajalakshmi Engineering College's research output changed?
Output in 2018–2022 was 224% 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 Chennai
- Sri Sivasubramaniya Nadar College of Engineering
- St. Joseph’s College of Engineering
- R.M.D. Engineering College
- Jeppiaar Engineering College
- Panimalar Medical College Hospital & Research Institute
- Society for Electronic Transactions and Security
- Easwari Engineering College
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.