Rajalakshmi Engineering College
In research, Rajalakshmi Engineering College stands highest in Physical Sciences (#1,681 of 10,670 worldwide), Computer Science (#952 of 4,417 worldwide) and Engineering (#1,712 of 5,901 worldwide), 2022-now. Relative to its size it is most specialised in Health Information Management, Neurology and Computer Vision and Pattern Recognition (Health Information Management is 8.1× its share of world research).
- World rank, 2022-now
- #2,618 of 22,385 · #5,243 all time
- Rank in ??
- #19 of 487
- Research works
- 2.5k ▲ 192% vs 2018-21
- Citations
- 20k 8.0 per fractional work
- Top-10% rate
- 8.9% all institutions 10.0%
- vs its own fields
- 1.04× 1.00× is exactly expected
- Open access
- 24% world 40%
- International
- 6% world 18%
What is Rajalakshmi Engineering College 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 | #1,681 of 10,670 | 9.1% | 1,084 | #3071 | |
| Computer ScienceField | #952 of 4,417 | 11.3% | 428 | #1816 | |
| EngineeringField | #1,712 of 5,901 | 7.1% | 476 | #3052 | |
| Artificial IntelligenceSubfield | #880 of 1,862 | 12.3% | 119 | #1500 | |
| Health SciencesDomain | #5,168 of 9,902 | 9.8% | 152 | #9400 | |
| Computer Vision and Pattern RecognitionSubfield | #548 of 963 | 9.2% | 101 | #1093 | |
| Information SystemsSubfield | #762 of 1,321 | 14.3% | 70 | - | |
| Life SciencesDomain | #3,757 of 6,403 | 10.8% | 141 | #7489 | |
| Electrical and Electronic EngineeringSubfield | #1,278 of 2,176 | 9.3% | 118 | #2099 | |
| Agricultural and Biological SciencesField | #2,037 of 3,157 | 13.3% | 66 | - |
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 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#3,071 #1,681
- Computer Science#1,816 #952
- Engineering#3,052 #1,712
- Artificial Intelligence#1,500 #880
- Health Sciences#9,400 #5,168
- Computer Vision and Pattern Recognition#1,093 #548
- Life Sciences#7,489 #3,757
- Electrical and Electronic Engineering#2,099 #1,278
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 Rajalakshmi Engineering College work in?
In 2022-now, 72% of research at Rajalakshmi Engineering College is in Physical Sciences, 10% in Health Sciences. Its largest fields are Engineering (31%), Computer Science (29%), Medicine (7%). It does 1.9× 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 Sciences1,21572.3%
- Engineering51930.9%
- Computer Science49429.4%
- Materials Science684.0%
- Environmental Science603.6%
- Chemistry261.5%
- Energy221.3%
- Mathematics80.5%
- Chemical Engineering70.4%
- Earth and Planetary Sciences60.4%
- Physics and Astronomy50.3%
- Health Sciences17010.1%
- Medicine1237.3%
- Health Professions422.5%
- Dentistry30.2%
- Nursing20.1%
- Veterinary00.0%
- Life Sciences1599.5%
- Social Sciences1378.2%
- Business, Management and Accounting382.3%
- Psychology311.9%
- Social Sciences301.8%
- Decision Sciences211.3%
- Economics, Econometrics and Finance100.6%
- Arts and Humanities60.4%
What does Rajalakshmi Engineering College specialise in?
Where its research is concentrated relative to its size: Health Information Management takes 8.1× the share of its output that it takes of world research.
- Health Information ManagementSubfield · 34.8 works8.1×
- NeurologySubfield · 27.1 works5.8×
- Computer Vision and Pattern RecognitionSubfield · 114.2 works5.4×
- Computer Networks and CommunicationsSubfield · 79.8 works5.3×
- Signal ProcessingSubfield · 24.8 works4.9×
- Automotive EngineeringSubfield · 38.3 works4.2×
- Computer ScienceField · 494.3 works3.8×
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, 3.8×. Every wedge is a field page.
All 26 fields, with their numbers
- Computer Science3.78×494 works
- Neuroscience2.07×57 works
- Engineering2.06×519 works
- Energy1.42×22 works
- Decision Sciences1.31×21 works
- Chemical Engineering1.17×7 works
- Materials Science1.15×68 works
- Chemistry0.97×26 works
- Agricultural and Biological Sciences0.94×75 works
- Health Professions0.94×42 works
- Environmental Science0.72×60 works
- Business, Management and Accounting0.71×38 works
- Psychology0.61×32 works
- Mathematics0.42×8 works
- Dentistry0.38×3 works
- Medicine0.38×123 works
- Biochemistry, Genetics and Molecular Biology0.28×25 works
- Economics, Econometrics and Finance0.28×10 works
- Earth and Planetary Sciences0.24×6 works
- Nursing0.23×2 works
- Pharmacology, Toxicology and Pharmaceutics0.22×1 works
- Social Sciences0.14×30 works
- Physics and Astronomy0.13×5 works
- Arts and Humanities0.13×6 works
- Immunology and Microbiology0.08×1 works
- Veterinary0.03×0 works
- Computer Science 3.8×
- Neuroscience 2.1×
- Engineering 2.1×
- Energy 1.4×
- Decision Sciences 1.3×
- Chemical Engineering 1.2×
- Materials Science 1.1×
- Chemistry 1.0×
- Agricultural and Biological Sciences 0.9×
- Health Professions 0.9×
- Environmental Science 0.7×
- Business, Management and Accounting 0.7×
- Psychology 0.6×
- Mathematics 0.4×
- Dentistry 0.4×
- Medicine 0.4×
- Biochemistry, Genetics and Molecular Biology 0.3×
- Economics, Econometrics and Finance 0.3×
- Earth and Planetary Sciences 0.2×
- Nursing 0.2×
- Pharmacology, Toxicology and Pharmaceutics 0.2×
- Social Sciences 0.1×
- Physics and Astronomy 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 quality score, K Ananthajothi, Sanjay Kumar Suman and R.V. Hemavathy lead among researchers whose main affiliation is Rajalakshmi Engineering College.
- 1 K Ananthajothi #439,806 worldwide 461 citations · 37 works
- 2 Sanjay Kumar Suman #561,823 worldwide 944 citations · 68 works
- 3 R.V. Hemavathy #920,602 worldwide 1.6k citations · 34 works
- 4 L. Bhagyalakshmi #995,528 worldwide 614 citations · 44 works
- 5 L. Bhagyalakshmi #998,861 worldwide 294 citations · 16 works
- 6 T Kumaragurubaran #1,127,477 worldwide 411 citations · 28 works
- 7 N. Duraimurugan #1,195,804 worldwide 188 citations · 16 works
- 8 P Kumar #1,251,296 worldwide 1.2k citations · 54 works
- 9 T. Rajasanthosh Kumar #1,378,070 worldwide 699 citations · 27 works
- 10 Senthil Pandi S #1,669,819 worldwide 1.2k citations · 152 works
Which keywords describe research at Rajalakshmi Engineering College?
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, Healthcare, Wireless Sensor Networks, Security and IoT.
- MRI
- RFID Technology
- Security and Privacy
- Image Segmentation
- Privacy
- Classification Models
- Anomaly Detection
- Smart Cities
- Crop Yield Prediction
- Feature Selection
- Classification
- Big Data Analytics
- IoT Security
- Data Mining
- Artificial Intelligence
- Image Processing
- Security
- Neural Networks
- Internet of Things
- Machine Learning
- Deep Learning
- Healthcare
- Convolutional Neural Networks
- Wireless Sensor Networks
- IoT
- Environmental Monitoring
- Feature Extraction
- Medical Imaging
- Mechanical Properties
- Energy Efficiency
- Smart Farming
- Internet of Things (IoT)
- Plant Disease Detection
- Transfer Learning
- Renewable Energy Integration
- Medical Diagnosis
- Computer Vision
- Convolutional Neural Network
- Medical Image Analysis
- Brain Tumor
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 Learning388▲ 6.7×75 topics
- Machine Learning298▲ 5.3×87 topics
- Healthcare100▲ 5.2×10 topics
- Internet of Things98▲ 6.8×25 topics
- Convolutional Neural Networks91▲ 7.4×13 topics
- Neural Networks90▲ 3.5×35 topics
- Wireless Sensor Networks83▲ 11×20 topics
- Security78▲ 7.0×19 topics
- IoT72▲ 11×16 topics
- Image Processing71▲ 9.7×12 topics
- Environmental Monitoring68▲ 11×11 topics
- Artificial Intelligence66▲ 2.8×35 topics
- Feature Extraction65▲ 8.6×10 topics
- Data Mining64▲ 5.2×16 topics
- Medical Imaging56▲ 6.3×7 topics
- IoT Security48▲ 9.4×3 topics
- Mechanical Properties46▲ 2.8×25 topics
- Big Data Analytics45▲ 13×5 topics
- Energy Efficiency44▲ 2.8×27 topics
- Classification44▲ 5.7×9 topics
- Smart Farming42▲ 22×2 topics
- Feature Selection42▲ 12×6 topics
- Internet of Things (IoT)41▲ 21×3 topics
- Crop Yield Prediction39▲ 22×1 topic
- Plant Disease Detection39▲ 22×1 topic
- Smart Cities38▲ 8.6×7 topics
- Transfer Learning37▲ 11×3 topics
- Anomaly Detection33▲ 6.9×5 topics
- Renewable Energy Integration33▲ 6.0×5 topics
- Classification Models32▲ 22×1 topic
- Medical Diagnosis32▲ 21×1 topic
- Privacy32▲ 6.5×6 topics
- Computer Vision31▲ 6.7×5 topics
- Image Segmentation30▲ 15×3 topics
- Convolutional Neural Network30▲ 11×4 topics
- Security and Privacy29▲ 9.2×3 topics
- Medical Image Analysis29▲ 9.3×4 topics
- RFID Technology28▲ 9.7×5 topics
- Brain Tumor26▲ 23×1 topic
- MRI26▲ 19×1 topic
Which research topics does Rajalakshmi Engineering College publish most on?
By volume in 2022-now: Smart Agriculture and AI, Artificial Intelligence in Healthcare, Brain Tumor Detection and Classification 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 39 works
- 2 Artificial Intelligence in Healthcare Health Information Management 32 works
- 3 Brain Tumor Detection and Classification Neurology 26 works
- 4 IoT and Edge/Fog Computing Computer Networks and Communications 21 works
- 5 IoT-based Smart Home Systems Electrical and Electronic Engineering 21 works
- 6 Blockchain Technology Applications and Security Information Systems 19 works
- 7 IoT and GPS-based Vehicle Safety Systems Mechanical Engineering 16 works
- 8 Network Security and Intrusion Detection Computer Networks and Communications 16 works
- 9 Anomaly Detection Techniques and Applications Artificial Intelligence 15 works
- 10 Advanced Battery Technologies Research Automotive Engineering 14 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 Rajalakshmi Engineering College's research output changed?
Output in 2022-2025 was 192% 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 Rajalakshmi Engineering College as a percentage of every work published that year, 0.010% in 2024.
Fractional works of Rajalakshmi Engineering College 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 9.8% in 2023.
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 have tabs of their own, above.
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