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.
| Field | World rank | Where that sits | Top-10% rate | Works | All 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.
- Computer Science#2 #7
- Artificial Intelligence#2 #9
- Physical Sciences#38 #110
- Social Sciences#28 #131
- Information Systems#1 #27
- Social Sciences#66 #144
- Engineering#47 #159
- Mathematics#18 #30
- Computer Vision and Pattern Recognition#1 #30
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.
- SoftwareSubfield · 46.1 works8.6×
- Hardware and ArchitectureSubfield · 70.5 works7.5×
- Human-Computer InteractionSubfield · 128.2 works7.4×
- Computer Graphics and Computer-Aided DesignSubfield · 48.7 works7.1×
- Computational Theory and MathematicsSubfield · 187.4 works5.2×
- Statistics and ProbabilitySubfield · 93.1 works5.2×
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: Computer Science, 4.1×. Every wedge is a field page.
- Computer Science 4.1×
- Decision Sciences 2.5×
- Mathematics 2.4×
- Neuroscience 2.0×
- Physics and Astronomy 1.7×
- Engineering 1.4×
- Psychology 1.2×
- Materials Science 1.0×
- Energy 0.8×
- Chemical Engineering 0.8×
- Chemistry 0.8×
- Economics, Econometrics and Finance 0.8×
- Biochemistry, Genetics and Molecular Biology 0.7×
- Business, Management and Accounting 0.6×
- Social Sciences 0.6×
- Earth and Planetary Sciences 0.6×
- Arts and Humanities 0.5×
- Environmental Science 0.4×
- Health Professions 0.3×
- Medicine 0.2×
- Immunology and Microbiology 0.2×
- Pharmacology, Toxicology and Pharmaceutics 0.2×
- Nursing 0.1×
- Agricultural and Biological Sciences 0.1×
- Dentistry 0.1×
- Veterinary 0.1×
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 Herbert A. Simon United States · #65 worldwide 4.2k citations · 188 works
- 2 John A. Pople United States · #77 worldwide 11k citations · 142 works
- 3 Takeo Kanade United States · #140 worldwide 4.8k citations · 188 works
- 4 George Loewenstein United States · #577 worldwide 3.9k citations · 115 works
- 5 Adrian Perrig United States · #689 worldwide 3.2k citations · 146 works
- 6 Deva Ramanan United States · #848 worldwide 11k citations · 91 works
- 7 Chris Dyer United States · #1,013 worldwide 3k citations · 109 works
- 8 Baruch Fischhoff United States · #1,347 worldwide 1.7k citations · 104 works
- 9 William W. Cohen United States · #1,502 worldwide 2.6k citations · 124 works
- 10 Noah A. Smith United States · #1,695 worldwide 2.4k citations · 148 works
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.
- Sampling-Based Algorithms
- Convex Optimization
- Gesture Recognition
- Distributed Control
- Model Checking
- Mobile Robots
- Convolutional Networks
- Unsupervised Learning
- Distributed Systems
- Neural Machine Translation
- Collision Avoidance
- Corpus Linguistics
- Word Representation
- Machine Translation
- Topic Modeling
- Surveillance
- Multi-Agent Systems
- Convolutional Neural Networks
- Big Data
- Machine Learning
- Deep Learning
- Neural Networks
- Artificial Intelligence
- Data Mining
- Information Retrieval
- Text Classification
- Autonomous Vehicles
- Semantic Similarity
- Robotics
- Deep Neural Networks
- Reinforcement Learning
- Statistical Machine Translation
- Approximation Algorithms
- Fairness
- Representation Learning
- Semi-Supervised Learning
- Accountability
- Transparency
- Algorithmic Bias
- Optimal Motion Planning
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 Learning958▲ 3.4×82 topics
- Machine Learning717▲ 2.6×85 topics
- Neural Networks534▲ 4.2×37 topics
- Big Data204▲ 2.7×27 topics
- Artificial Intelligence196▲ 1.71×43 topics
- Convolutional Neural Networks179▲ 2.9×14 topics
- Data Mining141▲ 2.3×19 topics
- Multi-Agent Systems131▲ 8.3×6 topics
- Information Retrieval130▲ 7.2×5 topics
- Surveillance125▲ 5.6×6 topics
- Text Classification124▲ 9.3×3 topics
- Topic Modeling122▲ 9.9×3 topics
- Autonomous Vehicles122▲ 7.0×5 topics
- Machine Translation116▲ 8.4×2 topics
- Semantic Similarity115▲ 11×1 topic
- Word Representation115▲ 11×1 topic
- Robotics110▲ 5.4×9 topics
- Corpus Linguistics105▲ 5.8×4 topics
- Deep Neural Networks102▲ 11×3 topics
- Collision Avoidance93▲ 6.1×4 topics
- Reinforcement Learning93▲ 10×4 topics
- Neural Machine Translation92▲ 11×1 topic
- Statistical Machine Translation92▲ 11×1 topic
- Distributed Systems88▲ 6.3×6 topics
- Approximation Algorithms87▲ 15×5 topics
- Unsupervised Learning84▲ 7.1×3 topics
- Fairness74▲ 10×2 topics
- Convolutional Networks73▲ 6.2×3 topics
- Representation Learning72▲ 6.2×3 topics
- Mobile Robots70▲ 8.5×3 topics
- Semi-Supervised Learning69▲ 7.5×3 topics
- Model Checking68▲ 18×3 topics
- Accountability64▲ 7.2×4 topics
- Distributed Control64▲ 6.8×3 topics
- Transparency64▲ 6.2×3 topics
- Gesture Recognition64▲ 10×3 topics
- Algorithmic Bias63▲ 11×1 topic
- Convex Optimization62▲ 9.4×5 topics
- Optimal Motion Planning60▲ 9.3×1 topic
- 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.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Topic Modeling Artificial Intelligence 115 works
- 2 Natural Language Processing Techniques Artificial Intelligence 92 works
- 3 Ethics and Social Impacts of AI Safety Research 63 works
- 4 Robotic Path Planning Algorithms Computer Vision and Pattern Recognition 60 works
- 5 Robot Manipulation and Learning Control and Systems Engineering 52 works
- 6 Multimodal Machine Learning Applications Computer Vision and Pattern Recognition 50 works
- 7 Robotics and Sensor-Based Localization Aerospace Engineering 48 works
- 8 Speech Recognition and Synthesis Artificial Intelligence 48 works
- 9 Reinforcement Learning in Robotics Artificial Intelligence 48 works
- 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.
World: 28% of research is openly available.
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.
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
- University of Pittsburgh
- University of Pittsburgh Medical Center
- Duquesne University
- Children's Hospital of Pittsburgh
- La Roche College
- UPMC Hillman Cancer Center
- Geriatric Research Education and Clinical Center
- Allegheny General Hospital
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.