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Research facility · Cambridge · United States

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.

iit.it/research/lines/iit-mitROR OpenAlex
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.

FieldWorld rankWhere that sitsTop-10% rateWorksAll 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.

  1. Physical Sciences#506 #1,131
  2. Life Sciences#968 #1,044
  3. Computer Science#185 #633
  4. Social Sciences#821 #1,888
  5. Engineering#557 #2,115
  6. Mathematics#98 #352
  7. Artificial Intelligence#223 #715
all time2022–2025, better2022–2025, worse

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.

  1. Computational Theory and MathematicsSubfield · 26.6 works8.9×
← less than its size predicts1×more →

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.

Agricultural and Biological Sciences: 0.21× its world share, 7 worksAgricultural and Bio…Biochemistry, Genetics and Molecular Biology: 1.58× its world share, 59 worksBiochemistry, Geneti…Immunology and Microbiology: 0.81× its world share, 6 worksImmunology and Micro…Neuroscience: 1.24× its world share, 14 worksNeurosciencePharmacology, Toxicology and Pharmaceutics: 0.26× its world share, 1 worksPharmacology, Toxico…Chemical Engineering: 0.96× its world share, 2 worksChemical EngineeringChemistry: 0.66× its world share, 7 worksChemistryComputer Science: 3.22× its world share, 175 worksComputer ScienceEarth and Planetary Sciences: 0.74× its world share, 8 worksEarth and Planetary …Energy: 0.64× its world share, 4 worksEnergyEngineering: 1.03× its world share, 108 worksEngineeringEnvironmental Science: 0.50× its world share, 17 worksEnvironmental ScienceMaterials Science: 1.14× its world share, 28 worksMaterials ScienceMathematics: 8.38× its world share, 69 worksMathematicsPhysics and Astronomy: 2.67× its world share, 42 worksPhysics and AstronomyDentistry: 0.03× its world share, 0 worksDentistryHealth Professions: 0.32× its world share, 6 worksHealth ProfessionsMedicine: 0.27× its world share, 36 worksMedicineNursing: 0.15× its world share, 0 worksNursingVeterinary: 0.27× its world share, 0 worksVeterinaryArts and Humanities: 0.44× its world share, 9 worksArts and HumanitiesBusiness, Management and Accounting: 0.55× its world share, 12 worksBusiness, Management…Decision Sciences: 1.77× its world share, 12 worksDecision SciencesEconomics, Econometrics and Finance: 1.41× its world share, 21 worksEconomics, Econometr…Psychology: 0.64× its world share, 14 worksPsychologySocial Sciences: 0.47× its world share, 42 worksSocial Sciences1×world share
more than its size predictsabout as predictedless

Rings at 0.5×, 1× and 2×. Widest outward: Mathematics, 8.4×. Every wedge is a field page.

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. 1 Hariharan Rahul United States · #139,560 worldwide 1.1k citations · 19 works
  2. 2 John C. Dewan United States · #382,047 worldwide 233 citations · 54 works
  3. 3 Glenn A. Berchtold United States · #552,284 worldwide 136 citations · 33 works
  4. 4 Da Wang United States · #557,518 worldwide 78 citations · 17 works
  5. 5 R. Doxsey United States · #1,028,600 worldwide 86 citations · 40 works
  6. 6 Ricardo Ernesto Schaal United States · #1,174,031 worldwide 11 citations · 18 works
  7. 7 Machi Zawidzki United States · #1,571,396 worldwide 14 citations · 21 works
All ranked researchers at IIT@MIT

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.

▲ more of its work than of the world’s◆ about the world’s share▼ less than the world’s

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
  1. Machine Learning55▲ 2.4×59 topics
  2. Deep Learning49▲ 2.0×65 topics
  3. Neural Networks24▲ 2.2×26 topics
  4. Approximation Algorithms19▲ 38×5 topics
  5. Data Mining14▲ 2.6×8 topics
  6. Algorithmic Applications12▲ 50×2 topics
  7. Complexity Theory11▲ 31×2 topics
  8. Big Data10▲ 1.65×15 topics
  9. Security10▲ 2.3×10 topics
  10. Combinatorial Optimization10▲ 104×1 topic
  11. Graph Algorithms10▲ 104×1 topic
  12. Homomorphic Encryption9▲ 28×1 topic
  13. Identity-Based Encryption9▲ 28×1 topic
  14. Molecular Dynamics9▲ 7.6×5 topics
  15. Distributed Systems8▲ 7.3×5 topics
  16. Parallel Computing8▲ 10×4 topics
  17. Stability7▲ 4.6×6 topics
  18. Quantum Groups7▲ 30×2 topics
  19. Cluster Algebras7▲ 35×1 topic
  20. Cohomology7▲ 22×2 topics
  21. Quantum Mechanics7▲ 11×4 topics
  22. Triangulated Categories7▲ 35×1 topic
  23. Crystal Structures6▲ 11×2 topics
  24. High-Throughput6▲ 16×1 topic
  25. Materials Informatics6▲ 16×1 topic
  26. Convex Optimization6▲ 10.0×5 topics
  27. Inverse Problems5▲ 7.2×4 topics
  28. Nonlinear Equations5▲ 6.0×4 topics
  29. Network Coding5▲ 16×2 topics
  30. Optimal Transport5▲ 36×1 topic
  31. Ricci Curvature5▲ 36×1 topic
  32. High-Performance Computing5▲ 9.0×2 topics
  33. Cryptanalysis5▲ 8.7×4 topics
  34. Semi-Supervised Learning5▲ 6.5×3 topics
  35. Mobile Robots5▲ 7.2×2 topics
  36. Chaos5▲ 9.6×3 topics
  37. Kähler Metrics5▲ 53×1 topic
  38. Scalar Curvature5▲ 53×1 topic
  39. Synthetic Biology5▲ 12×2 topics
  40. 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.

Complexity and Algorithms in Graphs: 10 fractional worksCryptography and Data Security: 9 fractional worksAlgebraic structures and…7Algebraic structures and combinatorial models: 7 fractional worksMachine Learning in Mate…6Machine Learning in Materials Science: 6 fractional worksGeometric Analysis and Curvature Flows: 5 fractional worksGeometry and complex manifolds: 5 fractional worksCRISPR and Genetic Engin…4CRISPR and Genetic Engineering: 4 fractional worksBlockchain Technology Ap…4Blockchain Technology Applications and Security: 4 fractional worksComputational Drug Disco…4Computational Drug Discovery Methods: 4 fractional worksNeural Networks and Appl…4Neural Networks and Applications: 4 fractional works
Computational Theory and MathematicsArtificial IntelligenceGeometry and TopologyMaterials Chemistry3 others

Area is fractional works; colour is the subfield each topic belongs to.

  1. 1 Complexity and Algorithms in Graphs Computational Theory and Mathematics 10 works
  2. 2 Cryptography and Data Security Artificial Intelligence 9 works
  3. 3 Algebraic structures and combinatorial models Geometry and Topology 7 works
  4. 4 Machine Learning in Materials Science Materials Chemistry 6 works
  5. 5 Geometric Analysis and Curvature Flows Applied Mathematics 5 works
  6. 6 Geometry and complex manifolds Geometry and Topology 5 works
  7. 7 CRISPR and Genetic Engineering Molecular Biology 4 works
  8. 8 Blockchain Technology Applications and Security Information Systems 4 works
  9. 9 Computational Drug Discovery Methods Computational Theory and Mathematics 4 works
  10. 10 Neural Networks and Applications Artificial 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.

openly available31.6%not open68.4%

World: 28% of research is openly available.

with international co-authors15.9%domestic only84.1%

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.

1990200020102020
grewheldshrank

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

All research institutions in Cambridge

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.