R.M.D. Engineering College
In research, R.M.D. Engineering College stands highest in Engineering (#2,311 of 6,636 worldwide), Physical Sciences (#5,963 of 12,888 worldwide) and Computer Science (#2,164 of 4,667 worldwide), 2022–2025. Relative to its size it is most specialised in Computer Networks and Communications and Computer Vision and Pattern Recognition — Computer Networks and Communications is 9.2× its share of world research.
- World rank, 2022–2025
- #8,630 of 28,054 · #20,817 all time
- Rank in ??
- #143 of 692
- Research works
- 977 ▲ 256% vs 2013–17
- Citations
- 6.7k 6.9 per fractional work
- Top-10% rate
- 16.3% record average 16.5%
- Open access
- 24% world 28%
What is R.M.D. 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 |
|---|---|---|---|---|---|
| EngineeringField | #2,311 of 6,636 | 11.4% | 195 | #6194 | |
| Physical SciencesDomain | #5,963 of 12,888 | 14.6% | 452 | #13131 | |
| Computer ScienceField | #2,164 of 4,667 | 17.5% | 203 | #4226 | |
| Health SciencesDomain | #7,641 of 11,982 | 18.4% | 64 | — | |
| Electrical and Electronic EngineeringSubfield | #1,799 of 2,318 | 9.9% | 75 | — |
Each strip is that field’s whole ranked pool, with the notch where R.M.D. 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.
- Engineering#6,194 #2,311
- Physical Sciences#13,131 #5,963
- Computer Science#4,226 #2,164
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
What does R.M.D. Engineering College specialise in?
Where its research is concentrated relative to its size: Computer Networks and Communications takes 9.2× the share of its output that it takes of world research.
- Computer Networks and CommunicationsSubfield · 50.3 works9.2×
- Computer Vision and Pattern RecognitionSubfield · 39.0 works5.0×
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, 4.3×. Every wedge is a field page.
- Computer Science 4.3×
- Engineering 2.1×
- Neuroscience 1.8×
- Health Professions 1.4×
- Business, Management and Accounting 1.2×
- Energy 1.1×
- Decision Sciences 0.8×
- Agricultural and Biological Sciences 0.7×
- Environmental Science 0.7×
- Materials Science 0.6×
- Chemistry 0.5×
- Psychology 0.5×
- Mathematics 0.4×
- Chemical Engineering 0.4×
- Medicine 0.4×
- Earth and Planetary Sciences 0.3×
- Biochemistry, Genetics and Molecular Biology 0.2×
- Economics, Econometrics and Finance 0.2×
- Social Sciences 0.1×
- Physics and Astronomy 0.1×
- Pharmacology, Toxicology and Pharmaceutics 0.1×
- Veterinary 0.1×
- Dentistry 0.1×
- Arts and Humanities 0.0×
- Nursing 0.0×
Who are the top researchers at R.M.D. Engineering College?
Ranked on the composite score, S. Neelakandan, S. Devi and K. K. Thyagharajan lead among researchers whose main affiliation is R.M.D. Engineering College.
- 1 S. Neelakandan ?? · #556,313 worldwide 78 citations · 19 works
- 2 S. Devi ?? · #626,359 worldwide 136 citations · 30 works
- 3 K. K. Thyagharajan ?? · #685,379 worldwide 48 citations · 21 works
- 4 P. M. Joe Prathap ?? · #1,150,117 worldwide 56 citations · 25 works
- 5 R. Priya ?? · #1,325,038 worldwide 38 citations · 24 works
- 6 S. Ramya ?? · #1,366,319 worldwide 3 citations · 26 works
Which keywords describe research at R.M.D. 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, Healthcare, Security, Convolutional Neural Networks, IoT and Data Mining.
- Sensors
- Smart Farming
- Computer Vision
- Mobile Edge Computing
- Edge Computing
- Smart Home
- Medical Diagnosis
- Logistic Regression
- Anomaly Detection
- Energy Efficiency
- Feature Selection
- Medical Imaging
- Smart Cities
- Image Processing
- Environmental Monitoring
- Wireless Sensor Networks
- IoT
- Convolutional Neural Networks
- Healthcare
- Machine Learning
- Deep Learning
- Internet of Things
- Security
- Neural Networks
- Data Mining
- IoT Security
- Feature Extraction
- Big Data Analytics
- Artificial Intelligence
- Big Data
- Classification
- Security and Privacy
- 5G Networks
- Classification Models
- Privacy
- Cybersecurity
- Cloud Computing
- Transfer Learning
- Fog Computing
- Intrusion 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 Learning164▲ 7.8×69 topics
- Machine Learning122▲ 6.1×69 topics
- Internet of Things59▲ 11×24 topics
- Healthcare53▲ 7.7×9 topics
- Security42▲ 10×18 topics
- Convolutional Neural Networks41▲ 9.2×13 topics
- Neural Networks39▲ 4.1×31 topics
- IoT38▲ 17×12 topics
- Data Mining37▲ 8.1×12 topics
- Wireless Sensor Networks36▲ 13×16 topics
- IoT Security32▲ 16×3 topics
- Environmental Monitoring26▲ 11×6 topics
- Feature Extraction26▲ 9.4×10 topics
- Image Processing26▲ 9.7×11 topics
- Big Data Analytics26▲ 20×5 topics
- Smart Cities25▲ 16×8 topics
- Artificial Intelligence24▲ 2.9×27 topics
- Medical Imaging22▲ 7.1×6 topics
- Big Data22▲ 3.9×22 topics
- Feature Selection21▲ 16×4 topics
- Classification21▲ 7.3×8 topics
- Energy Efficiency20▲ 3.5×19 topics
- Security and Privacy20▲ 17×3 topics
- Anomaly Detection19▲ 10×4 topics
- 5G Networks18▲ 14×4 topics
- Logistic Regression18▲ 31×2 topics
- Classification Models18▲ 32×1 topic
- Medical Diagnosis18▲ 31×1 topic
- Privacy18▲ 10.0×5 topics
- Smart Home17▲ 17×3 topics
- Cybersecurity17▲ 12×4 topics
- Edge Computing16▲ 21×2 topics
- Cloud Computing16▲ 9.4×10 topics
- Mobile Edge Computing16▲ 16×2 topics
- Transfer Learning15▲ 13×3 topics
- Computer Vision15▲ 9.0×5 topics
- Fog Computing15▲ 21×1 topic
- Smart Farming14▲ 21×2 topics
- Intrusion Detection14▲ 16×3 topics
- Sensors14▲ 18×3 topics
Which research topics does R.M.D. Engineering College publish most on?
By volume in 2022–2025: Artificial Intelligence in Healthcare, IoT and Edge/Fog Computing, IoT-based Smart Home Systems and Smart Agriculture and AI.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Artificial Intelligence in Healthcare Health Information Management 18 works
- 2 IoT and Edge/Fog Computing Computer Networks and Communications 15 works
- 3 IoT-based Smart Home Systems Electrical and Electronic Engineering 13 works
- 4 Smart Agriculture and AI Plant Science 12 works
- 5 Network Security and Intrusion Detection Computer Networks and Communications 11 works
- 6 Blockchain Technology Applications and Security Information Systems 9 works
- 7 Brain Tumor Detection and Classification Neurology 9 works
- 8 AI in cancer detection Artificial Intelligence 7 works
- 9 COVID-19 diagnosis using AI Radiology, Nuclear Medicine and Imaging 6 works
- 10 Water Quality Monitoring Technologies Water Science and Technology 6 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 R.M.D. Engineering College's research output changed?
Output in 2018–2022 was 256% 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
- Rajalakshmi Engineering College
- St. Joseph’s College of Engineering
- 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.