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MIT Academy of Engineering

In research, MIT Academy of Engineering stands highest in Physical Sciences (#10,694 of 12,888 worldwide), Computer Science (#4,087 of 4,667 worldwide) and Engineering (#5,939 of 6,636 worldwide), 2022–2025. Relative to its size it is most specialised in Computer Vision and Pattern Recognition and Mechanical Engineering — Computer Vision and Pattern Recognition is 8.0× its share of world research.

mitaoe.ac.inROR OpenAlex
World rank, 2022–2025
#20,091
of 28,054 · #31,887 all time
Rank in ??
#415
of 692
Research works
554
▲ 276% vs 2013–17
Citations
2.4k
4.3 per fractional work
Top-10% rate
9.7%
record average 16.5%
Open access
38%
world 28%

What is MIT Academy of Engineering 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 #10,694 of 12,888 9.4%199 #17737
Computer ScienceField #4,087 of 4,667 12.5%87 #5943
EngineeringField #5,939 of 6,636 7.2%88 #9635

Each strip is that field’s whole ranked pool, with the notch where MIT Academy of Engineering 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#17,737 #10,694
  2. Computer Science#5,943 #4,087
  3. Engineering#9,635 #5,939
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 MIT Academy of Engineering specialise in?

Where its research is concentrated relative to its size: Computer Vision and Pattern Recognition takes 8.0× the share of its output that it takes of world research.

  1. Computer Vision and Pattern RecognitionSubfield · 27.2 works8.0×
  2. Mechanical EngineeringSubfield · 22.6 works4.6×
← 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: 0.84× its world share, 11 worksAgricultural and Bio…Biochemistry, Genetics and Molecular Biology: 0.06× its world share, 1 worksBiochemistry, Geneti…Immunology and Microbiology: 0.07× its world share, 0 worksImmunology and Micro…Neuroscience: 1.14× its world share, 5 worksNeurosciencePharmacology, Toxicology and Pharmaceutics: 0.61× its world share, 1 worksPharmacology, Toxico…Chemical Engineering: 2.42× its world share, 2 worksChemical EngineeringChemistry: 0.45× its world share, 2 worksChemistryComputer Science: 4.17× its world share, 87 worksComputer ScienceEarth and Planetary Sciences: 0.12× its world share, 0 worksEarth and Planetary …Energy: 1.03× its world share, 3 worksEnergyEngineering: 2.19× its world share, 88 worksEngineeringEnvironmental Science: 0.61× its world share, 8 worksEnvironmental ScienceMaterials Science: 0.58× its world share, 5 worksMaterials ScienceMathematics: 0.54× its world share, 2 worksMathematicsPhysics and Astronomy: 0.19× its world share, 1 worksPhysics and AstronomyDentistry: 0.30× its world share, 0 worksDentistryHealth Professions: 0.82× its world share, 6 worksHealth ProfessionsMedicine: 0.19× its world share, 10 worksMedicineVeterinary: 0.20× its world share, 0 worksVeterinaryArts and Humanities: 0.06× its world share, 0 worksArts and HumanitiesBusiness, Management and Accounting: 1.13× its world share, 10 worksBusiness, Management…Decision Sciences: 3.15× its world share, 8 worksDecision SciencesEconomics, Econometrics and Finance: 0.29× its world share, 2 worksEconomics, Econometr…Psychology: 0.87× its world share, 7 worksPsychologySocial Sciences: 0.28× its world share, 9 worksSocial Sciences1×world share
more than its size predictsabout as predictedless

Rings at 0.5×, 1× and 2×. Widest outward: Computer Science, 4.2×. Every wedge is a field page.

Who are the top researchers at MIT Academy of Engineering?

Ranked on the composite score, Sunita Barve and Yogesh Bhalerao lead among researchers whose main affiliation is MIT Academy of Engineering.

  1. 1 Sunita Barve ?? · #512,472 worldwide 95 citations · 20 works
  2. 2 Yogesh Bhalerao ?? · #1,600,207 worldwide 17 citations · 15 works
All ranked researchers at MIT Academy of Engineering

Which keywords describe research at MIT Academy of Engineering?

By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Machine Learning, Internet of Things, Convolutional Neural Networks, Neural Networks, Security, Healthcare and IoT.

▲ 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. Deep Learning64▲ 6.9×59 topics
  2. Machine Learning33▲ 3.8×47 topics
  3. Neural Networks21▲ 5.0×24 topics
  4. Internet of Things20▲ 8.5×13 topics
  5. Convolutional Neural Networks18▲ 9.4×13 topics
  6. Security17▲ 9.6×12 topics
  7. Healthcare15▲ 5.0×5 topics
  8. Supply Chain Management12▲ 4.8×9 topics
  9. Energy Efficiency11▲ 4.5×16 topics
  10. IoT11▲ 11×7 topics
  11. Image Processing10▲ 8.5×8 topics
  12. Feature Extraction9▲ 7.2×9 topics
  13. Blockchain8▲ 13×2 topics
  14. Wireless Sensor Networks8▲ 6.6×8 topics
  15. Environmental Monitoring8▲ 7.7×6 topics
  16. Privacy8▲ 9.8×3 topics
  17. Sensors8▲ 22×3 topics
  18. Big Data8▲ 3.1×10 topics
  19. Heat Transfer7▲ 5.5×12 topics
  20. Smart Home7▲ 16×2 topics
  21. Human-Computer Interaction7▲ 15×5 topics
  22. Decentralization7▲ 12×1 topic
  23. Home Automation7▲ 54×1 topic
  24. Optimization7▲ 5.5×11 topics
  25. Smart Contracts7▲ 16×1 topic
  26. Wireless7▲ 49×1 topic
  27. Computer Vision6▲ 8.8×5 topics
  28. Real-time Tracking6▲ 23×2 topics
  29. Internet of Things (IoT)6▲ 20×2 topics
  30. Feature Selection6▲ 9.8×3 topics
  31. Plant Disease Detection6▲ 21×1 topic
  32. Smart Farming6▲ 19×1 topic
  33. Support Vector Machines5▲ 5.8×6 topics
  34. Thermodynamic Analysis5▲ 30×3 topics
  35. Big Data Analytics5▲ 8.3×4 topics
  36. Face Recognition5▲ 16×3 topics
  37. Pose Estimation5▲ 15×2 topics
  38. Sign Language4▲ 27×2 topics
  39. Emotion Recognition4▲ 8.2×3 topics
  40. Gesture Recognition4▲ 21×3 topics

Which research topics does MIT Academy of Engineering publish most on?

By volume in 2022–2025: Blockchain Technology Applications and Security, IoT-based Smart Home Systems, Smart Agriculture and AI and Artificial Intelligence in Healthcare.

Blockchain Technology Applications and Security: 7 fractional worksIoT-based Smart Home Systems: 7 fractional worksSmart Agriculture and AI6Smart Agriculture and AI: 6 fractional worksArtificial Intelligence …4Artificial Intelligence in Healthcare: 4 fractional worksHand Gesture Recognition Systems: 3 fractional worksAdvanced Neural Network Applications: 3 fractional worksIoT and Edge/Fog Computing3IoT and Edge/Fog Computing: 3 fractional worksBig Data and Business Intelligence: 3 fractional worksFace recognition and analysis: 3 fractional worksVideo Surveillance and T…3Video Surveillance and Tracking Methods: 3 fractional works
Information SystemsElectrical and Electronic EngineeringPlant ScienceHealth Information Management4 others

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

  1. 1 Blockchain Technology Applications and Security Information Systems 7 works
  2. 2 IoT-based Smart Home Systems Electrical and Electronic Engineering 7 works
  3. 3 Smart Agriculture and AI Plant Science 6 works
  4. 4 Artificial Intelligence in Healthcare Health Information Management 4 works
  5. 5 Hand Gesture Recognition Systems Human-Computer Interaction 3 works
  6. 6 Advanced Neural Network Applications Computer Vision and Pattern Recognition 3 works
  7. 7 IoT and Edge/Fog Computing Computer Networks and Communications 3 works
  8. 8 Big Data and Business Intelligence Management Information Systems 3 works
  9. 9 Face recognition and analysis Computer Vision and Pattern Recognition 3 works
  10. 10 Video Surveillance and Tracking Methods Computer Vision and Pattern Recognition 3 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 available38.0%not open62.0%

World: 28% of research is openly available.

with international co-authors4.0%domestic only96.0%

World: 19% is written across borders.

How has MIT Academy of Engineering's research output changed?

Output in 2018–2022 was 276% higher than in 2013–2017.

20152020
grewheldshrank

The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.

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.