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University · Pittsburgh · United States

Carnegie Mellon University

In research, Carnegie Mellon University stands highest in Computer Science (#7 of 4,667 worldwide), Artificial Intelligence (#9 of 1,884 worldwide) and Physical Sciences (#110 of 12,888 worldwide), 2022–2025. Relative to its size it is most specialised in Software, Hardware and Architecture and Human-Computer Interaction — Software is 8.6× its share of world research.

World rank, 2022–2025
#135
of 28,054 · #47 all time
Rank in United States
#40
of 4,192
Research works
81k
▲ 15% vs 2013–17
Citations
4.1M
51.2 per fractional work
Top-10% rate
25.5%
record average 16.5%
Open access
33%
world 28%

What is Carnegie Mellon University 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
Computer ScienceField #7 of 4,667 26.0%2,684 #2
Artificial IntelligenceSubfield #9 of 1,884 26.2%1,030 #2
Physical SciencesDomain #110 of 12,888 24.4%5,651 #38
Social SciencesDomain #131 of 10,521 29.8%1,600 #28
Information SystemsSubfield #27 of 1,291 33.1%225 #1
Safety ResearchSubfield #2 of 92 42.7%89
Social SciencesField #144 of 6,365 34.4%659 #66
EngineeringField #159 of 6,636 22.5%1,701 #47
MathematicsField #30 of 1,053 19.7%238 #18
Computer Vision and Pattern RecognitionSubfield #30 of 941 28.1%471 #1

Each strip is that field’s whole ranked pool, with the notch where Carnegie Mellon 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.

  1. Computer Science#2 #7
  2. Artificial Intelligence#2 #9
  3. Physical Sciences#38 #110
  4. Social Sciences#28 #131
  5. Information Systems#1 #27
  6. Social Sciences#66 #144
  7. Engineering#47 #159
  8. Mathematics#18 #30
  9. Computer Vision and Pattern Recognition#1 #30
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 Carnegie Mellon University specialise in?

Where its research is concentrated relative to its size: Software takes 8.6× the share of its output that it takes of world research.

  1. SoftwareSubfield · 46.1 works8.6×
  2. Hardware and ArchitectureSubfield · 70.5 works7.5×
  3. Human-Computer InteractionSubfield · 128.2 works7.4×
  4. Computer Graphics and Computer-Aided DesignSubfield · 48.7 works7.1×
  5. Computational Theory and MathematicsSubfield · 187.4 works5.2×
  6. Statistics and ProbabilitySubfield · 93.1 works5.2×
← less than its size predictsmore →

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: 0.11× its world share, 43 worksAgricultural and Bio…Biochemistry, Genetics and Molecular Biology: 0.73× its world share, 324 worksBiochemistry, Geneti…Immunology and Microbiology: 0.20× its world share, 17 worksImmunology and Micro…Neuroscience: 2.04× its world share, 277 worksNeurosciencePharmacology, Toxicology and Pharmaceutics: 0.20× its world share, 6 worksPharmacology, Toxico…Chemical Engineering: 0.83× its world share, 24 worksChemical EngineeringChemistry: 0.79× its world share, 104 worksChemistryComputer Science: 4.13× its world share, 2,684 worksComputer ScienceEarth and Planetary Sciences: 0.58× its world share, 75 worksEarth and Planetary …Energy: 0.84× its world share, 64 worksEnergyEngineering: 1.36× its world share, 1,701 worksEngineeringEnvironmental Science: 0.41× its world share, 172 worksEnvironmental ScienceMaterials Science: 0.96× its world share, 280 worksMaterials ScienceMathematics: 2.43× its world share, 238 worksMathematicsPhysics and Astronomy: 1.66× its world share, 308 worksPhysics and AstronomyDentistry: 0.06× its world share, 2 worksDentistryHealth Professions: 0.35× its world share, 78 worksHealth ProfessionsMedicine: 0.22× its world share, 348 worksMedicineNursing: 0.14× its world share, 6 worksNursingVeterinary: 0.05× its world share, 0 worksVeterinaryArts and Humanities: 0.54× its world share, 130 worksArts and HumanitiesBusiness, Management and Accounting: 0.63× its world share, 170 worksBusiness, Management…Decision Sciences: 2.52× its world share, 204 worksDecision SciencesEconomics, Econometrics and Finance: 0.76× its world share, 136 worksEconomics, Econometr…Psychology: 1.19× its world share, 302 worksPsychologySocial Sciences: 0.62× its world share, 659 worksSocial Sciencesworld share
more than its size predictsabout as predictedless

Rings at 0.5×, and 2×. Widest outward: Computer Science, 4.1×. Every wedge is a field page.

Who are the top researchers at Carnegie Mellon University?

Ranked on the composite score, Herbert A. Simon, John A. Pople and Takeo Kanade lead among researchers whose main affiliation is Carnegie Mellon University.

  1. 1 Herbert A. Simon United States · #65 worldwide 4.2k citations · 188 works
  2. 2 John A. Pople United States · #77 worldwide 11k citations · 142 works
  3. 3 Takeo Kanade United States · #140 worldwide 4.8k citations · 188 works
  4. 4 George Loewenstein United States · #577 worldwide 3.9k citations · 115 works
  5. 5 Adrian Perrig United States · #689 worldwide 3.2k citations · 146 works
  6. 6 Deva Ramanan United States · #848 worldwide 11k citations · 91 works
  7. 7 Chris Dyer United States · #1,013 worldwide 3k citations · 109 works
  8. 8 Baruch Fischhoff United States · #1,347 worldwide 1.7k citations · 104 works
  9. 9 William W. Cohen United States · #1,502 worldwide 2.6k citations · 124 works
  10. 10 Noah A. Smith United States · #1,695 worldwide 2.4k citations · 148 works
All ranked researchers at Carnegie Mellon University

Which keywords describe research at Carnegie Mellon University?

By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Machine Learning, Neural Networks, Multi-Agent Systems, Information Retrieval, Text Classification, Topic Modeling and Big Data.

▲ 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 Learning958▲ 3.4×82 topics
  2. Machine Learning717▲ 2.6×85 topics
  3. Neural Networks534▲ 4.2×37 topics
  4. Big Data204▲ 2.7×27 topics
  5. Artificial Intelligence196▲ 1.71×43 topics
  6. Convolutional Neural Networks179▲ 2.9×14 topics
  7. Data Mining141▲ 2.3×19 topics
  8. Multi-Agent Systems131▲ 8.3×6 topics
  9. Information Retrieval130▲ 7.2×5 topics
  10. Surveillance125▲ 5.6×6 topics
  11. Text Classification124▲ 9.3×3 topics
  12. Topic Modeling122▲ 9.9×3 topics
  13. Autonomous Vehicles122▲ 7.0×5 topics
  14. Machine Translation116▲ 8.4×2 topics
  15. Semantic Similarity115▲ 11×1 topic
  16. Word Representation115▲ 11×1 topic
  17. Robotics110▲ 5.4×9 topics
  18. Corpus Linguistics105▲ 5.8×4 topics
  19. Deep Neural Networks102▲ 11×3 topics
  20. Collision Avoidance93▲ 6.1×4 topics
  21. Reinforcement Learning93▲ 10×4 topics
  22. Neural Machine Translation92▲ 11×1 topic
  23. Statistical Machine Translation92▲ 11×1 topic
  24. Distributed Systems88▲ 6.3×6 topics
  25. Approximation Algorithms87▲ 15×5 topics
  26. Unsupervised Learning84▲ 7.1×3 topics
  27. Fairness74▲ 10×2 topics
  28. Convolutional Networks73▲ 6.2×3 topics
  29. Representation Learning72▲ 6.2×3 topics
  30. Mobile Robots70▲ 8.5×3 topics
  31. Semi-Supervised Learning69▲ 7.5×3 topics
  32. Model Checking68▲ 18×3 topics
  33. Accountability64▲ 7.2×4 topics
  34. Distributed Control64▲ 6.8×3 topics
  35. Transparency64▲ 6.2×3 topics
  36. Gesture Recognition64▲ 10×3 topics
  37. Algorithmic Bias63▲ 11×1 topic
  38. Convex Optimization62▲ 9.4×5 topics
  39. Optimal Motion Planning60▲ 9.3×1 topic
  40. Sampling-Based Algorithms60▲ 9.3×1 topic

Which research topics does Carnegie Mellon University publish most on?

By volume in 2022–2025: Topic Modeling, Natural Language Processing Techniques, Ethics and Social Impacts of AI and Robotic Path Planning Algorithms.

  1. 1 Topic Modeling Artificial Intelligence 115 works
  2. 2 Natural Language Processing Techniques Artificial Intelligence 92 works
  3. 3 Ethics and Social Impacts of AI Safety Research 63 works
  4. 4 Robotic Path Planning Algorithms Computer Vision and Pattern Recognition 60 works
  5. 5 Robot Manipulation and Learning Control and Systems Engineering 52 works
  6. 6 Multimodal Machine Learning Applications Computer Vision and Pattern Recognition 50 works
  7. 7 Robotics and Sensor-Based Localization Aerospace Engineering 48 works
  8. 8 Speech Recognition and Synthesis Artificial Intelligence 48 works
  9. 9 Reinforcement Learning in Robotics Artificial Intelligence 48 works
  10. 10 Tactile and Sensory Interactions Cognitive Neuroscience 47 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 available33.0%not open67.0%

World: 28% of research is openly available.

with international co-authors14.9%domestic only85.1%

World: 19% is written across borders.

How has Carnegie Mellon University's research output changed?

Output in 2018–2022 was 15% higher 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 Pittsburgh

All research institutions in Pittsburgh

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.