IIT@MIT
In research, IIT@MIT stands highest in Physical Sciences (#1,131 of 12,888 worldwide), Life Sciences (#1,044 of 7,800 worldwide) and Computer Science (#633 of 4,667 worldwide), 2022–2025. Relative to its size it is most specialised in Computational Theory and Mathematics — Computational Theory and Mathematics is 8.9× its share of world research.
- World rank, 2022–2025
- #1,060 of 28,054 · #562 all time
- Rank in United States
- #184 of 4,192
- Research works
- 8.7k ▼ 19% vs 2013–17
- Citations
- 364k 41.6 per fractional work
- Top-10% rate
- 31.7% record average 16.5%
- Open access
- 32% world 28%
What is IIT@MIT 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 | #1,131 of 12,888 | 28.1% | 461 | #506 | |
| Life SciencesDomain | #1,044 of 7,800 | 44.9% | 87 | #968 | |
| Computer ScienceField | #633 of 4,667 | 29.4% | 175 | #185 | |
| Social SciencesDomain | #1,888 of 10,521 | 36.3% | 110 | #821 | |
| EngineeringField | #2,115 of 6,636 | 23.6% | 108 | #557 | |
| MathematicsField | #352 of 1,053 | 25.9% | 69 | #98 | |
| Artificial IntelligenceSubfield | #715 of 1,884 | 32.7% | 70 | #223 |
Each strip is that field’s whole ranked pool, with the notch where IIT@MIT 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#506 #1,131
- Life Sciences#968 #1,044
- Computer Science#185 #633
- Social Sciences#821 #1,888
- Engineering#557 #2,115
- Mathematics#98 #352
- Artificial Intelligence#223 #715
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
What does IIT@MIT specialise in?
Where its research is concentrated relative to its size: Computational Theory and Mathematics takes 8.9× the share of its output that it takes of world research.
- Computational Theory and MathematicsSubfield · 26.6 works8.9×
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: Mathematics, 8.4×. Every wedge is a field page.
- Mathematics 8.4×
- Computer Science 3.2×
- Physics and Astronomy 2.7×
- Decision Sciences 1.8×
- Biochemistry, Genetics and Molecular Biology 1.6×
- Economics, Econometrics and Finance 1.4×
- Neuroscience 1.2×
- Materials Science 1.1×
- Engineering 1.0×
- Chemical Engineering 1.0×
- Immunology and Microbiology 0.8×
- Earth and Planetary Sciences 0.7×
- Chemistry 0.7×
- Energy 0.6×
- Psychology 0.6×
- Business, Management and Accounting 0.6×
- Environmental Science 0.5×
- Social Sciences 0.5×
- Arts and Humanities 0.4×
- Health Professions 0.3×
- Medicine 0.3×
- Veterinary 0.3×
- Pharmacology, Toxicology and Pharmaceutics 0.3×
- Agricultural and Biological Sciences 0.2×
- Nursing 0.1×
- Dentistry 0.0×
Who are the top researchers at IIT@MIT?
Ranked on the composite score, Hariharan Rahul, John C. Dewan and Glenn A. Berchtold lead among researchers whose main affiliation is IIT@MIT.
- 1 Hariharan Rahul · #139,560 worldwide 1.1k citations · 19 works
- 2 John C. Dewan · #382,047 worldwide 233 citations · 54 works
- 3 Glenn A. Berchtold · #552,284 worldwide 136 citations · 33 works
- 4 Da Wang · #557,518 worldwide 78 citations · 17 works
- 5 R. Doxsey · #1,028,600 worldwide 86 citations · 40 works
- 6 Ricardo Ernesto Schaal · #1,174,031 worldwide 11 citations · 18 works
- 7 Machi Zawidzki · #1,571,396 worldwide 14 citations · 21 works
Which keywords describe research at IIT@MIT?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Machine Learning, Deep Learning, Approximation Algorithms, Neural Networks, Algorithmic Applications, Complexity Theory, Combinatorial Optimization and Graph Algorithms.
- Modular Forms
- Scalar Curvature
- Chaos
- Semi-Supervised Learning
- High-Performance Computing
- Optimal Transport
- Nonlinear Equations
- Convex Optimization
- High-Throughput
- Triangulated Categories
- Cohomology
- Quantum Groups
- Parallel Computing
- Molecular Dynamics
- Homomorphic Encryption
- Combinatorial Optimization
- Big Data
- Algorithmic Applications
- Approximation Algorithms
- Deep Learning
- Machine Learning
- Neural Networks
- Data Mining
- Complexity Theory
- Security
- Graph Algorithms
- Identity-Based Encryption
- Distributed Systems
- Stability
- Cluster Algebras
- Quantum Mechanics
- Crystal Structures
- Materials Informatics
- Inverse Problems
- Network Coding
- Ricci Curvature
- Cryptanalysis
- Mobile Robots
- Kähler Metrics
- Synthetic Biology
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
- Machine Learning55▲ 2.4×59 topics
- Deep Learning49▲ 2.0×65 topics
- Neural Networks24▲ 2.2×26 topics
- Approximation Algorithms19▲ 38×5 topics
- Data Mining14▲ 2.6×8 topics
- Algorithmic Applications12▲ 50×2 topics
- Complexity Theory11▲ 31×2 topics
- Big Data10▲ 1.65×15 topics
- Security10▲ 2.3×10 topics
- Combinatorial Optimization10▲ 104×1 topic
- Graph Algorithms10▲ 104×1 topic
- Homomorphic Encryption9▲ 28×1 topic
- Identity-Based Encryption9▲ 28×1 topic
- Molecular Dynamics9▲ 7.6×5 topics
- Distributed Systems8▲ 7.3×5 topics
- Parallel Computing8▲ 10×4 topics
- Stability7▲ 4.6×6 topics
- Quantum Groups7▲ 30×2 topics
- Cluster Algebras7▲ 35×1 topic
- Cohomology7▲ 22×2 topics
- Quantum Mechanics7▲ 11×4 topics
- Triangulated Categories7▲ 35×1 topic
- Crystal Structures6▲ 11×2 topics
- High-Throughput6▲ 16×1 topic
- Materials Informatics6▲ 16×1 topic
- Convex Optimization6▲ 10.0×5 topics
- Inverse Problems5▲ 7.2×4 topics
- Nonlinear Equations5▲ 6.0×4 topics
- Network Coding5▲ 16×2 topics
- Optimal Transport5▲ 36×1 topic
- Ricci Curvature5▲ 36×1 topic
- High-Performance Computing5▲ 9.0×2 topics
- Cryptanalysis5▲ 8.7×4 topics
- Semi-Supervised Learning5▲ 6.5×3 topics
- Mobile Robots5▲ 7.2×2 topics
- Chaos5▲ 9.6×3 topics
- Kähler Metrics5▲ 53×1 topic
- Scalar Curvature5▲ 53×1 topic
- Synthetic Biology5▲ 12×2 topics
- Modular Forms5▲ 18×3 topics
Which research topics does IIT@MIT publish most on?
By volume in 2022–2025: Complexity and Algorithms in Graphs, Cryptography and Data Security, Algebraic structures and combinatorial models and Machine Learning in Materials Science.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Complexity and Algorithms in GraphsComputational Theory and Mathematics 10 works
- 2 Cryptography and Data SecurityArtificial Intelligence 9 works
- 3 Algebraic structures and combinatorial modelsGeometry and Topology 7 works
- 4 Machine Learning in Materials ScienceMaterials Chemistry 6 works
- 5 Geometric Analysis and Curvature FlowsApplied Mathematics 5 works
- 6 Geometry and complex manifoldsGeometry and Topology 5 works
- 7 CRISPR and Genetic EngineeringMolecular Biology 4 works
- 8 Blockchain Technology Applications and SecurityInformation Systems 4 works
- 9 Computational Drug Discovery MethodsComputational Theory and Mathematics 4 works
- 10 Neural Networks and ApplicationsArtificial Intelligence 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 IIT@MIT's research output changed?
Output in 2018–2022 was 19% lower 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 Cambridge
- Harvard University
- Massachusetts Institute of Technology
- Center for Astrophysics Harvard & Smithsonian
- National Bureau of Economic Research
- World Wide Web Consortium
- Broad Institute
- Smithsonian Astrophysical Observatory
- Draper Laboratory
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.