Indian Institute of Technology Madras
In research, Indian Institute of Technology Madras stands highest in Physical Sciences (#460 of 12,888 worldwide), Engineering (#321 of 6,636 worldwide) and Mechanical Engineering (#115 of 1,351 worldwide), 2022–2025. Relative to its size it is most specialised in Fluid Flow and Transfer Processes, Computational Mechanics and Earth-Surface Processes — Fluid Flow and Transfer Processes is 8.4× its share of world research.
- World rank, 2022–2025
- #748 of 28,054 · #884 all time
- Rank in India
- #24 of 1,840
- Research works
- 44k ▲ 44% vs 2013–17
- Citations
- 737k 17.0 per fractional work
- Top-10% rate
- 12.8% record average 16.5%
- Open access
- 17% world 28%
What is Indian Institute of Technology Madras 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 | #460 of 12,888 | 12.1% | 7,820 | #628 | |
| EngineeringField | #321 of 6,636 | 11.3% | 4,217 | #331 | |
| Mechanical EngineeringSubfield | #115 of 1,351 | 12.8% | 642 | #152 | |
| Materials ScienceField | #251 of 2,468 | 11.1% | 846 | #335 | |
| Civil and Structural EngineeringSubfield | #110 of 896 | 10.5% | 447 | #127 | |
| Computer ScienceField | #657 of 4,667 | 12.3% | 821 | #836 | |
| ChemistryField | #205 of 1,330 | 11.0% | 424 | #488 | |
| Biomedical EngineeringSubfield | #243 of 1,568 | 10.1% | 521 | #370 | |
| Electrical and Electronic EngineeringSubfield | #369 of 2,318 | 6.9% | 863 | #467 | |
| Materials ChemistrySubfield | #262 of 1,556 | 11.0% | 483 | #312 |
Each strip is that field’s whole ranked pool, with the notch where Indian Institute of Technology Madras 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#628 #460
- Engineering#331 #321
- Mechanical Engineering#152 #115
- Materials Science#335 #251
- Civil and Structural Engineering#127 #110
- Computer Science#836 #657
- Chemistry#488 #205
- Biomedical Engineering#370 #243
- Electrical and Electronic Engineering#467 #369
- Materials Chemistry#312 #262
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
What does Indian Institute of Technology Madras specialise in?
Where its research is concentrated relative to its size: Fluid Flow and Transfer Processes takes 8.4× the share of its output that it takes of world research.
- Fluid Flow and Transfer ProcessesSubfield · 60.4 works8.4×
- Computational MechanicsSubfield · 411.0 works7.7×
- Earth-Surface ProcessesSubfield · 54.2 works4.9×
- Condensed Matter PhysicsSubfield · 65.6 works4.4×
- Chemical EngineeringField · 137.1 works4.2×
- Mechanics of MaterialsSubfield · 275.4 works4.2×
- Civil and Structural EngineeringSubfield · 447.2 works4.1×
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: Chemical Engineering, 4.2×. Every wedge is a field page.
- Chemical Engineering 4.2×
- Engineering 3.0×
- Chemistry 2.9×
- Materials Science 2.6×
- Energy 1.9×
- Physics and Astronomy 1.9×
- Mathematics 1.5×
- Earth and Planetary Sciences 1.5×
- Computer Science 1.1×
- Environmental Science 0.9×
- Decision Sciences 0.8×
- Neuroscience 0.6×
- Biochemistry, Genetics and Molecular Biology 0.5×
- Economics, Econometrics and Finance 0.5×
- Business, Management and Accounting 0.4×
- Pharmacology, Toxicology and Pharmaceutics 0.4×
- Nursing 0.3×
- Arts and Humanities 0.2×
- Psychology 0.2×
- Medicine 0.2×
- Dentistry 0.2×
- Agricultural and Biological Sciences 0.2×
- Health Professions 0.1×
- Social Sciences 0.1×
- Immunology and Microbiology 0.1×
- Veterinary 0.0×
Who are the top researchers at Indian Institute of Technology Madras?
Ranked on the composite score, Chandrasekharan Rajendran, Rajnish Kumar and Thalappil Pradeep lead among researchers whose main affiliation is Indian Institute of Technology Madras.
- 1 Chandrasekharan Rajendran · #16,205 worldwide 822 citations · 65 works
- 2 Rajnish Kumar · #28,407 worldwide 453 citations · 49 works
- 3 Thalappil Pradeep · #29,066 worldwide 1.2k citations · 124 works
- 4 Raghunathan Rengaswamy · #55,632 worldwide 681 citations · 68 works
- 5 B. Yegnanarayana · #62,926 worldwide 709 citations · 89 works
- 6 K. Ramamurthy · #67,174 worldwide 487 citations · 52 works
- 7 B.S. Murty · #75,865 worldwide 1.1k citations · 129 works
- 8 Radha Krishna Ganti · #91,956 worldwide 376 citations · 48 works
- 9 Sankaran Subramanian · #92,868 worldwide 269 citations · 37 works
- 10 Manu Santhanam · #94,333 worldwide 482 citations · 41 works
Which keywords describe research at Indian Institute of Technology Madras?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Heat Transfer, Mechanical Properties, Large-Eddy Simulation, Biomedical Applications, Numerical Simulation, Deep Learning, Microstructure and Fluid-Structure Interaction.
- Radial Basis Functions
- Particle Image Velocimetry
- Fluid Mechanics
- Fluid Dynamics
- Composite Materials
- Emissions
- Vortex Dynamics
- Polymer Composites
- Chemical Kinetics
- Fluid-Structure Interaction
- Thermal Management
- Energy Storage
- Numerical Simulation
- Environmental Impact
- Catalysis
- Nanocomposites
- Neural Networks
- Nanoparticles
- Machine Learning
- Mechanical Properties
- Deep Learning
- Heat Transfer
- Biomedical Applications
- Nanomaterials
- Renewable Energy
- Large-Eddy Simulation
- Microstructure
- Graphene
- Energy Efficiency
- Additive Manufacturing
- Power Electronics
- Renewable Energy Integration
- Finite Element Analysis
- Turbulent Flows
- Nonlinear Dynamics
- Turbulent Flow
- Transition Metal Catalysis
- Multiphase Flow
- Boundary Layer Transition
- Combustion Instabilities
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 Learning403▲ 1.27×79 topics
- Mechanical Properties363▲ 4.0×39 topics
- Heat Transfer345▲ 7.5×17 topics
- Machine Learning334◆ 1.10×79 topics
- Biomedical Applications274▲ 2.5×36 topics
- Nanoparticles232▲ 1.99×44 topics
- Nanomaterials205▲ 2.1×20 topics
- Neural Networks200▲ 1.40×37 topics
- Renewable Energy198▲ 1.49×41 topics
- Nanocomposites197▲ 2.6×22 topics
- Large-Eddy Simulation189▲ 11×5 topics
- Catalysis182▲ 3.0×28 topics
- Microstructure182▲ 3.8×19 topics
- Environmental Impact181◆ 1.15×47 topics
- Graphene181▲ 2.9×12 topics
- Numerical Simulation169▲ 6.2×13 topics
- Energy Efficiency150▲ 1.72×36 topics
- Energy Storage146▲ 2.4×12 topics
- Additive Manufacturing142▲ 4.9×8 topics
- Thermal Management140▲ 4.5×8 topics
- Power Electronics126▲ 4.1×8 topics
- Fluid-Structure Interaction125▲ 8.9×6 topics
- Renewable Energy Integration110▲ 3.5×6 topics
- Chemical Kinetics106▲ 13×3 topics
- Finite Element Analysis103▲ 4.8×9 topics
- Polymer Composites96▲ 3.9×6 topics
- Turbulent Flows96▲ 10×3 topics
- Vortex Dynamics95▲ 8.9×4 topics
- Nonlinear Dynamics94▲ 4.6×7 topics
- Emissions93▲ 5.0×6 topics
- Turbulent Flow93▲ 8.4×4 topics
- Composite Materials84▲ 4.5×10 topics
- Transition Metal Catalysis81▲ 10×4 topics
- Fluid Dynamics78▲ 6.1×6 topics
- Multiphase Flow74▲ 9.1×4 topics
- Fluid Mechanics72▲ 11×2 topics
- Boundary Layer Transition70▲ 11×1 topic
- Particle Image Velocimetry70▲ 11×1 topic
- Combustion Instabilities70▲ 12×2 topics
- Radial Basis Functions68▲ 10×2 topics
Which research topics does Indian Institute of Technology Madras publish most on?
By volume in 2022–2025: Fluid Dynamics and Turbulent Flows, Combustion and flame dynamics, Advanced Combustion Engine Technologies and Additive Manufacturing and 3D Printing Technologies.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Fluid Dynamics and Turbulent FlowsComputational Mechanics 70 works
- 2 Combustion and flame dynamicsComputational Mechanics 55 works
- 3 Advanced Combustion Engine TechnologiesFluid Flow and Transfer Processes 49 works
- 4 Additive Manufacturing and 3D Printing TechnologiesAutomotive Engineering 46 works
- 5 Advanced Battery Technologies ResearchAutomotive Engineering 45 works
- 6 Catalytic C–H Functionalization MethodsOrganic Chemistry 45 works
- 7 Computational Fluid Dynamics and AerodynamicsComputational Mechanics 40 works
- 8 Advanced Sensor and Energy Harvesting MaterialsBiomedical Engineering 39 works
- 9 Coastal and Marine DynamicsEarth-Surface Processes 38 works
- 10 Fluid Dynamics and Vibration AnalysisComputational Mechanics 38 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 Indian Institute of Technology Madras's research output changed?
Output in 2018–2022 was 44% 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
- Saveetha University
- SRM Institute of Science and Technology
- Anna University, Chennai
- University of Madras
- Sathyabama Institute of Science and Technology
- Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology
- Hindustan Institute of Technology and Science
- Vels University
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.