SASTRA University
In research, SASTRA University stands highest in Physical Sciences (#1,444 of 12,888 worldwide), Engineering (#884 of 6,636 worldwide) and Life Sciences (#1,781 of 7,800 worldwide), 2022–2025. Relative to its size it is most specialised in Health Information Management, Signal Processing and Computer Vision and Pattern Recognition — Health Information Management is 4.2× its share of world research.
- World rank, 2022–2025
- #1,720 of 28,054 · #3,051 all time
- Rank in India
- #78 of 1,840
- Research works
- 8.8k ▲ 36% vs 2013–17
- Citations
- 127k 14.5 per fractional work
- Top-10% rate
- 15.6% record average 16.5%
- Open access
- 32% world 28%
What is SASTRA University 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 |
|---|---|---|---|---|---|
| Physical SciencesDomain | #1,444 of 12,888 | 15.3% | 1,845 | #2428 | |
| EngineeringField | #884 of 6,636 | 14.0% | 757 | #1773 | |
| Life SciencesDomain | #1,781 of 7,800 | 17.1% | 338 | #3253 | |
| Health SciencesDomain | #2,838 of 11,982 | 18.1% | 271 | #6096 | |
| Computer ScienceField | #1,298 of 4,667 | 16.9% | 512 | #1628 | |
| Biochemistry, Genetics and Molecular BiologyField | #1,108 of 3,579 | 17.1% | 162 | #2597 | |
| MedicineField | #3,905 of 10,443 | 18.3% | 213 | #6423 | |
| Electrical and Electronic EngineeringSubfield | #870 of 2,318 | 13.2% | 214 | #1441 | |
| Materials ScienceField | #1,051 of 2,468 | 17.3% | 191 | #1785 | |
| Materials ChemistrySubfield | #767 of 1,556 | 19.8% | 121 | #1282 |
Each strip is that field’s whole ranked pool, with the notch where SASTRA 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 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.
- Physical Sciences#2,428 #1,444
- Engineering#1,773 #884
- Life Sciences#3,253 #1,781
- Health Sciences#6,096 #2,838
- Computer Science#1,628 #1,298
- Biochemistry, Genetics and Molecular Biology#2,597 #1,108
- Medicine#6,423 #3,905
- Electrical and Electronic Engineering#1,441 #870
- Materials Science#1,785 #1,051
- Materials Chemistry#1,282 #767
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
What does SASTRA University specialise in?
Where its research is concentrated relative to its size: Health Information Management takes 4.2× the share of its output that it takes of world research.
- Health Information ManagementSubfield · 29.1 works4.2×
- Signal ProcessingSubfield · 34.0 works4.1×
- Computer Vision and Pattern RecognitionSubfield · 131.0 works3.8×
- Computer Networks and CommunicationsSubfield · 86.5 works3.6×
- Computational Theory and MathematicsSubfield · 35.5 works3.0×
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: Chemistry, 2.4×. Every wedge is a field page.
- Chemistry 2.4×
- Computer Science 2.4×
- Chemical Engineering 2.0×
- Materials Science 2.0×
- Engineering 1.9×
- Decision Sciences 1.7×
- Energy 1.3×
- Biochemistry, Genetics and Molecular Biology 1.1×
- Environmental Science 1.0×
- Neuroscience 0.9×
- Mathematics 0.9×
- Business, Management and Accounting 0.9×
- Pharmacology, Toxicology and Pharmaceutics 0.9×
- Agricultural and Biological Sciences 0.8×
- Physics and Astronomy 0.8×
- Nursing 0.7×
- Immunology and Microbiology 0.6×
- Health Professions 0.6×
- Economics, Econometrics and Finance 0.5×
- Earth and Planetary Sciences 0.5×
- Dentistry 0.4×
- Medicine 0.4×
- Psychology 0.4×
- Veterinary 0.4×
- Social Sciences 0.2×
- Arts and Humanities 0.2×
Who are the top researchers at SASTRA University?
Ranked on the composite score, N. Arunkumar, V. Subramaniyaswamy and Ganesh Kumar Mani lead among researchers whose main affiliation is SASTRA University.
- 1 N. Arunkumar · #33,049 worldwide 493 citations · 37 works
- 2 V. Subramaniyaswamy · #102,879 worldwide 214 citations · 34 works
- 3 Ganesh Kumar Mani · #180,763 worldwide 138 citations · 24 works
- 4 Swaminathan Sethuraman · #187,332 worldwide 133 citations · 35 works
- 5 John Bosco Balaguru Rayappan · #195,534 worldwide 356 citations · 77 works
- 6 Rengarajan Amirtharaj · #233,960 worldwide 148 citations · 29 works
- 7 Logesh Ravi · #244,741 worldwide 127 citations · 32 works
- 8 Natarajan Sathiyamoorthy Venkataramanan · #250,436 worldwide 172 citations · 19 works
- 9 R. Manikandan · #269,890 worldwide 150 citations · 44 works
- 10 P. Shankar · #291,308 worldwide 125 citations · 23 works
Which keywords describe research at SASTRA University?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Machine Learning, Wireless Sensor Networks, Convolutional Neural Networks, Security Analysis, Neural Networks, Internet of Things and Healthcare.
- Medical Diagnosis
- Plant Disease Detection
- Internet of Things (IoT)
- Chaotic Maps
- Smart Farming
- Anomaly Detection
- Big Data Analytics
- Renewable Energy Integration
- IoT
- Two-Dimensional Materials
- IoT Security
- Security Analysis
- Environmental Monitoring
- Biomedical Applications
- Wireless Sensor Networks
- Mechanical Properties
- Security
- Convolutional Neural Networks
- Healthcare
- Machine Learning
- Deep Learning
- Neural Networks
- Internet of Things
- Nanomaterials
- Data Mining
- Environmental Impact
- Renewable Energy
- Image Processing
- Energy Efficiency
- Nanocomposites
- Graphene
- Feature Extraction
- Cryptanalysis
- Nanostructures
- Chaos
- Privacy
- Feature Selection
- Image Encryption
- Crop Yield Prediction
- Classification Models
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 Learning321▲ 3.4×75 topics
- Machine Learning270▲ 3.0×79 topics
- Neural Networks97▲ 2.3×33 topics
- Healthcare84▲ 2.7×13 topics
- Internet of Things77▲ 3.2×24 topics
- Convolutional Neural Networks75▲ 3.8×14 topics
- Nanomaterials72▲ 2.5×19 topics
- Security68▲ 3.9×18 topics
- Data Mining68▲ 3.3×13 topics
- Mechanical Properties67▲ 2.5×29 topics
- Environmental Impact65▲ 1.40×33 topics
- Wireless Sensor Networks65▲ 5.2×16 topics
- Renewable Energy63▲ 1.60×31 topics
- Biomedical Applications62▲ 1.92×32 topics
- Image Processing56▲ 4.6×12 topics
- Environmental Monitoring53▲ 5.1×8 topics
- Energy Efficiency53▲ 2.1×29 topics
- Security Analysis53▲ 11×4 topics
- Nanocomposites51▲ 2.3×19 topics
- IoT Security47▲ 5.4×3 topics
- Graphene46▲ 2.4×12 topics
- Two-Dimensional Materials45▲ 7.2×4 topics
- Feature Extraction45▲ 3.6×10 topics
- IoT44▲ 4.4×14 topics
- Cryptanalysis43▲ 19×3 topics
- Renewable Energy Integration41▲ 4.5×5 topics
- Nanostructures40▲ 3.7×10 topics
- Big Data Analytics40▲ 6.7×5 topics
- Chaos37▲ 19×3 topics
- Anomaly Detection36▲ 4.5×5 topics
- Privacy36▲ 4.4×7 topics
- Smart Farming35▲ 11×2 topics
- Feature Selection34▲ 5.6×6 topics
- Chaotic Maps32▲ 30×1 topic
- Image Encryption32▲ 30×1 topic
- Internet of Things (IoT)32▲ 10×2 topics
- Crop Yield Prediction32▲ 11×1 topic
- Plant Disease Detection32▲ 11×1 topic
- Classification Models28▲ 11×1 topic
- Medical Diagnosis28▲ 11×1 topic
Which research topics does SASTRA University publish most on?
By volume in 2022–2025: Chaos-based Image/Signal Encryption, Smart Agriculture and AI, Artificial Intelligence in Healthcare and Advanced Steganography and Watermarking Techniques.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Chaos-based Image/Signal Encryption Computer Vision and Pattern Recognition 32 works
- 2 Smart Agriculture and AI Plant Science 32 works
- 3 Artificial Intelligence in Healthcare Health Information Management 28 works
- 4 Advanced Steganography and Watermarking Techniques Computer Vision and Pattern Recognition 22 works
- 5 Network Security and Intrusion Detection Computer Networks and Communications 20 works
- 6 Advanced Battery Technologies Research Automotive Engineering 18 works
- 7 Blockchain Technology Applications and Security Information Systems 18 works
- 8 IoT and Edge/Fog Computing Computer Networks and Communications 17 works
- 9 Innovative concrete reinforcement materials Civil and Structural Engineering 16 works
- 10 Gas Sensing Nanomaterials and Sensors Electrical and Electronic Engineering 16 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 SASTRA University's research output changed?
Output in 2018–2022 was 36% 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 Thanjavur
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.