Tirunelveli Medical College
In research, Tirunelveli Medical College stands highest in Engineering (#3,227 of 6,636 worldwide), Physical Sciences (#7,303 of 12,888 worldwide) and Health Sciences (#7,793 of 11,982 worldwide), 2022–2025.
- World rank, 2022–2025
- #10,816 of 28,054 · #14,981 all time
- Rank in India
- #772 of 1,840
- Research works
- 1.5k ▲ 80% vs 2013–17
- Citations
- 12k 7.9 per fractional work
- Top-10% rate
- 9.1% record average 16.5%
- Open access
- 52% world 28%
What is Tirunelveli Medical 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 | #3,227 of 6,636 | 13.5% | 146 | #6178 | |
| Physical SciencesDomain | #7,303 of 12,888 | 12.5% | 313 | #9834 | |
| Health SciencesDomain | #7,793 of 11,982 | 3.7% | 215 | #13405 | |
| MedicineField | #7,209 of 10,443 | 3.2% | 193 | #12317 | |
| Computer ScienceField | #3,534 of 4,667 | 16.1% | 80 | #4984 | |
| Life SciencesDomain | #7,321 of 7,800 | 8.8% | 69 | #13325 |
Each strip is that field’s whole ranked pool, with the notch where Tirunelveli Medical 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#6,178 #3,227
- Physical Sciences#9,834 #7,303
- Health Sciences#13,405 #7,793
- Medicine#12,317 #7,209
- Computer Science#4,984 #3,534
- Life Sciences#13,325 #7,321
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
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: Energy, 1.9×. Every wedge is a field page.
- Energy 1.9×
- Materials Science 1.8×
- Computer Science 1.6×
- Medicine 1.6×
- Veterinary 1.5×
- Engineering 1.5×
- Pharmacology, Toxicology and Pharmaceutics 1.5×
- Neuroscience 1.3×
- Chemistry 1.3×
- Health Professions 1.0×
- Decision Sciences 0.8×
- Agricultural and Biological Sciences 0.8×
- Dentistry 0.8×
- Immunology and Microbiology 0.7×
- Biochemistry, Genetics and Molecular Biology 0.7×
- Chemical Engineering 0.6×
- Environmental Science 0.5×
- Psychology 0.4×
- Arts and Humanities 0.4×
- Business, Management and Accounting 0.3×
- Nursing 0.3×
- Mathematics 0.3×
- Economics, Econometrics and Finance 0.3×
- Physics and Astronomy 0.2×
- Earth and Planetary Sciences 0.1×
- Social Sciences 0.1×
Who are the top researchers at Tirunelveli Medical College?
Ranked on the composite score, Sudhakar Sengan, V. Jaiganesh and E. Fantin Irudaya Raj lead among researchers whose main affiliation is Tirunelveli Medical College.
- 1 Sudhakar Sengan India · #320,676 worldwide 135 citations · 41 works
- 2 V. Jaiganesh India · #634,083 worldwide 52 citations · 22 works
- 3 E. Fantin Irudaya Raj India · #761,699 worldwide 92 citations · 21 works
Which keywords describe research at Tirunelveli Medical College?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Machine Learning, Epidemiology, Convolutional Neural Networks, Mechanical Properties, Renewable Energy Integration, Power Electronics and Treatment.
- Image Segmentation
- Energy Storage Systems
- Glaucoma
- Diabetic Retinopathy
- Smart Home
- Medical Image Analysis
- Environmental Monitoring
- Solar Energy
- Microstructure
- Image Processing
- Nanomaterials
- Security
- Classification
- Feature Extraction
- COVID-19
- Renewable Energy Integration
- Renewable Energy
- Convolutional Neural Networks
- Mechanical Properties
- Machine Learning
- Deep Learning
- Epidemiology
- Treatment
- Healthcare
- Nanoparticles
- Power Electronics
- Internet of Things
- Medical Imaging
- Energy Efficiency
- Diagnosis
- Wireless Sensor Networks
- Graphene
- Immune Response
- IoT
- Transfer Learning
- Big Data Analytics
- Smart Farming
- Macular Degeneration
- Image Analysis
- Smart Grid Applications
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 Learning71▲ 3.2×64 topics
- Machine Learning51▲ 2.5×54 topics
- Epidemiology42▲ 1.66×83 topics
- Mechanical Properties24▲ 3.8×24 topics
- Treatment22▲ 2.9×34 topics
- Convolutional Neural Networks22▲ 4.8×13 topics
- Healthcare20▲ 2.8×12 topics
- Renewable Energy18▲ 1.96×19 topics
- Nanoparticles17▲ 2.1×27 topics
- Renewable Energy Integration16▲ 7.5×5 topics
- Power Electronics16▲ 7.3×6 topics
- COVID-1916▲ 1.78×13 topics
- Internet of Things16▲ 2.8×18 topics
- Feature Extraction15▲ 5.2×10 topics
- Medical Imaging14▲ 4.2×7 topics
- Classification14▲ 4.7×11 topics
- Energy Efficiency13▲ 2.2×16 topics
- Security12▲ 3.0×14 topics
- Diagnosis12▲ 2.1×24 topics
- Nanomaterials12▲ 1.83×15 topics
- Wireless Sensor Networks12▲ 4.3×13 topics
- Image Processing12▲ 4.2×9 topics
- Graphene12▲ 2.7×9 topics
- Microstructure11▲ 3.4×10 topics
- Immune Response10▲ 2.8×12 topics
- Solar Energy10▲ 4.9×4 topics
- IoT10▲ 4.1×9 topics
- Environmental Monitoring9▲ 3.9×5 topics
- Transfer Learning9▲ 7.6×2 topics
- Medical Image Analysis9▲ 7.4×4 topics
- Big Data Analytics8▲ 5.5×5 topics
- Smart Home7▲ 6.5×2 topics
- Smart Farming7▲ 9.5×2 topics
- Diabetic Retinopathy7▲ 11×2 topics
- Macular Degeneration7▲ 8.7×2 topics
- Glaucoma7▲ 7.0×4 topics
- Image Analysis6▲ 10×2 topics
- Energy Storage Systems6▲ 7.0×2 topics
- Smart Grid Applications6▲ 7.5×2 topics
- Image Segmentation6▲ 7.6×3 topics
Which research topics does Tirunelveli Medical College publish most on?
By volume in 2022–2025: Microgrid Control and Optimization, Retinal Imaging and Analysis, Artificial Intelligence in Healthcare and Smart Agriculture and AI.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Microgrid Control and Optimization Control and Systems Engineering 6 works
- 2 Retinal Imaging and Analysis Radiology, Nuclear Medicine and Imaging 6 works
- 3 Artificial Intelligence in Healthcare Health Information Management 5 works
- 4 Smart Agriculture and AI Plant Science 5 works
- 5 Advanced DC-DC Converters Electrical and Electronic Engineering 5 works
- 6 Brain Tumor Detection and Classification Neurology 5 works
- 7 COVID-19 diagnosis using AI Radiology, Nuclear Medicine and Imaging 4 works
- 8 Advanced Battery Technologies Research Automotive Engineering 4 works
- 9 Aluminum Alloys Composites Properties Mechanical Engineering 4 works
- 10 Liver Disease Diagnosis and Treatment Epidemiology 4 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 Tirunelveli Medical College's research output changed?
Output in 2018–2022 was 80% 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 Tirunelveli
- Manonmaniam Sundaranar University
- Social Change and Development
- ISRO Propulsion Complex
- Government College of Engineering, Tirunelveli
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.