Meta (United States)
In research, Meta (United States) stands highest in Computer Science (#324 of 4,417 worldwide), Physical Sciences (#1,141 of 10,670 worldwide) and Artificial Intelligence (#374 of 1,862 worldwide), 2022-now. Relative to its size it is most specialised in Computer Networks and Communications, Artificial Intelligence and Computer Vision and Pattern Recognition (Computer Networks and Communications is 7.0× its share of world research).
- World rank, 2022-now
- #1,665 of 22,385 · #1,130 all time
- Rank in United States
- #331 of 3,332
- Research works
- 2.8k ▼ 57% vs 2018-21
- Citations
- 226k 81.8 per fractional work
- Top-10% rate
- 14.5% all institutions 10.0%
- vs its own fields
- 1.33× 1.00× is exactly expected
- Open access
- 55% world 40%
- International
- 44% world 18%
What is Meta (United States) known for in research?
The fields where it stands highest, 2022-now, ranked among every institution above the floor in each field.
| Field | World rank | Where that sits | Top-10% rate | Works | All time |
|---|---|---|---|---|---|
| Computer ScienceField | #324 of 4,417 | 17.3% | 257 | #216 | |
| Physical SciencesDomain | #1,141 of 10,670 | 16.6% | 379 | #874 | |
| Artificial IntelligenceSubfield | #374 of 1,862 | 22.9% | 83 | #214 | |
| EngineeringField | #1,276 of 5,901 | 15.9% | 90 | #1242 | |
| Social SciencesDomain | #3,221 of 9,585 | 12.0% | 121 | #1830 |
Each strip is that field's whole ranked pool, with the notch where Meta (United States) 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 average mark, because the average differs by field (from about 6% in Dentistry to 21% in Economics).
Which of those standings moved
The same fields on both windows: where it stood over the whole record, and where it stands in 2022-now. The distance is the story, and it is the one thing the two rank columns above cannot show.
- Computer Science#216 #324
- Physical Sciences#874 #1,141
- Artificial Intelligence#214 #374
- Engineering#1,242 #1,276
- Social Sciences#1,830 #3,221
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
Which fields of science does Meta (United States) work in?
In 2022-now, 67% of research at Meta (United States) is in Physical Sciences, 21% in Social Sciences. Its largest fields are Computer Science (45%), Engineering (15%), Social Sciences (8%). It does 1.7× the world's share of Physical Sciences.
Each ring splits the one inside it: the four domains of science, their fields, their subfields. Size is fractional works in 2022-now. Every slice is a page; the interactive view zooms down to single topics and colours each by how much more of it this institution does than the world.
Its 4 domains and 25 fields, with their numbers
- Physical Sciences42466.7%
- Computer Science28945.4%
- Engineering9815.4%
- Environmental Science101.6%
- Mathematics91.4%
- Physics and Astronomy81.2%
- Materials Science61.0%
- Earth and Planetary Sciences20.3%
- Energy10.2%
- Chemistry10.1%
- Chemical Engineering00.0%
- Social Sciences13120.7%
- Social Sciences548.4%
- Business, Management and Accounting243.8%
- Decision Sciences223.5%
- Psychology121.9%
- Economics, Econometrics and Finance111.7%
- Arts and Humanities81.3%
- Health Sciences548.5%
- Medicine436.8%
- Health Professions101.6%
- Nursing10.1%
- Veterinary00.1%
- Life Sciences264.1%
What does Meta (United States) specialise in?
Where its research is concentrated relative to its size: Computer Networks and Communications takes 7.0× the share of its output that it takes of world research.
- Computer Networks and CommunicationsSubfield · 39.5 works7.0×
- Artificial IntelligenceSubfield · 96.3 works6.3×
- Computer Vision and Pattern RecognitionSubfield · 47.0 works5.9×
- Computer ScienceField · 288.8 works5.8×
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, 5.8×. Every wedge is a field page.
All 25 fields, with their numbers
- Computer Science5.84×289 works
- Decision Sciences3.64×22 works
- Mathematics1.21×9 works
- Business, Management and Accounting1.18×24 works
- Engineering1.03×98 works
- Neuroscience1.01×10 works
- Economics, Econometrics and Finance0.79×11 works
- Social Sciences0.67×54 works
- Psychology0.64×12 works
- Health Professions0.60×10 works
- Physics and Astronomy0.54×8 works
- Arts and Humanities0.45×8 works
- Veterinary0.39×0 works
- Biochemistry, Genetics and Molecular Biology0.36×12 works
- Medicine0.35×43 works
- Environmental Science0.33×10 works
- Materials Science0.28×6 works
- Earth and Planetary Sciences0.20×2 works
- Energy0.20×1 works
- Nursing0.20×1 works
- Chemical Engineering0.13×0 works
- Immunology and Microbiology0.12×1 works
- Agricultural and Biological Sciences0.09×3 works
- Chemistry0.08×1 works
- Pharmacology, Toxicology and Pharmaceutics0.07×0 works
- Computer Science 5.8×
- Decision Sciences 3.6×
- Mathematics 1.2×
- Business, Management and Accounting 1.2×
- Engineering 1.0×
- Neuroscience 1.0×
- Economics, Econometrics and Finance 0.8×
- Social Sciences 0.7×
- Psychology 0.6×
- Health Professions 0.6×
- Physics and Astronomy 0.5×
- Arts and Humanities 0.5×
- Veterinary 0.4×
- Biochemistry, Genetics and Molecular Biology 0.4×
- Medicine 0.3×
- Environmental Science 0.3×
- Materials Science 0.3×
- Earth and Planetary Sciences 0.2×
- Energy 0.2×
- Nursing 0.2×
- Chemical Engineering 0.1×
- Immunology and Microbiology 0.1×
- Agricultural and Biological Sciences 0.1×
- Chemistry 0.1×
- Pharmacology, Toxicology and Pharmaceutics 0.1×
Who are the top researchers at Meta (United States)?
Ranked on the quality score, Dhruba Borthakur, Cameron Marlow and Satish Chandra lead among researchers whose main affiliation is Meta (United States).
- 1
Dhruba Borthakur
United States · #129,139 worldwide 5.6k citations · 22 works
- 2
Cameron Marlow
United States · #137,745 worldwide 11k citations · 43 works
- 3
Satish Chandra
United States · #164,158 worldwide 3.1k citations · 93 works
- 4
Adam D. I. Kramer
United States · #231,776 worldwide 8.7k citations · 44 works
- 5
Mark Tygert
United States · #355,657 worldwide 3.5k citations · 85 works
- 6
Farshad Kooti
United States · #528,083 worldwide 1.2k citations · 26 works
- 7
Ali Israr
United States · #626,737 worldwide 4.2k citations · 102 works
- 8
Nils Wernerfelt
United States · #631,864 worldwide 1.5k citations · 54 works
- 9
Shangchen Han
United States · #638,202 worldwide 663 citations · 17 works
- 10
Sriram Sankar
United States · #778,880 worldwide 410 citations · 42 works
Which keywords describe research at Meta (United States)?
By fractional works in 2022-now, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Machine Learning, Big Data, Distributed Systems, Information Retrieval, Text Classification and Convolutional Neural Networks.
- Statistical Machine Translation
- Convolutional Networks
- Graph Convolutional Networks
- Heterogeneous Networks
- Wireless Networks
- Surveillance
- Convex Optimization
- Virtualization
- Resource Management
- Deep Neural Networks
- Security
- Matrix Factorization
- Word Representation
- Machine Translation
- Representation Learning
- Text Classification
- Social Media
- Convolutional Neural Networks
- Big Data
- Neural Networks
- Deep Learning
- Machine Learning
- Distributed Systems
- Information Retrieval
- Energy Efficiency
- Topic Modeling
- Data Mining
- Semantic Similarity
- Collaborative Filtering
- Cloud Computing
- Semi-Supervised Learning
- Anomaly Detection
- Parallel Computing
- Unsupervised Learning
- High-Performance Computing
- Hyperparameter Optimization
- Data Centers
- MapReduce
- Meta-Learning
- Neural Machine Translation
Size is fractional works in 2022-now 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 Learning113▲ 5.1×69 topics
- Neural Networks68▲ 6.9×30 topics
- Machine Learning60▲ 2.8×61 topics
- Big Data28▲ 4.5×21 topics
- Distributed Systems21▲ 20×6 topics
- Convolutional Neural Networks20▲ 4.4×11 topics
- Information Retrieval18▲ 13×5 topics
- Social Media17▲ 1.89×23 topics
- Energy Efficiency17▲ 2.8×18 topics
- Text Classification16▲ 15×3 topics
- Topic Modeling15▲ 15×3 topics
- Representation Learning15▲ 15×3 topics
- Data Mining14▲ 3.1×11 topics
- Machine Translation14▲ 14×2 topics
- Semantic Similarity14▲ 18×1 topic
- Word Representation14▲ 18×1 topic
- Collaborative Filtering14▲ 61×1 topic
- Matrix Factorization14▲ 61×1 topic
- Cloud Computing14▲ 7.6×8 topics
- Security13▲ 3.1×16 topics
- Semi-Supervised Learning13▲ 16×3 topics
- Deep Neural Networks12▲ 16×3 topics
- Anomaly Detection12▲ 6.7×4 topics
- Resource Management12▲ 11×2 topics
- Parallel Computing11▲ 15×4 topics
- Virtualization11▲ 21×2 topics
- Unsupervised Learning10▲ 10×3 topics
- Convex Optimization10▲ 18×4 topics
- High-Performance Computing9▲ 18×2 topics
- Surveillance9▲ 5.1×5 topics
- Hyperparameter Optimization9▲ 33×2 topics
- Wireless Networks8▲ 8.9×9 topics
- Data Centers8▲ 21×1 topic
- Heterogeneous Networks8▲ 12×2 topics
- MapReduce8▲ 21×1 topic
- Graph Convolutional Networks8▲ 11×2 topics
- Meta-Learning8▲ 14×2 topics
- Convolutional Networks8▲ 9.1×3 topics
- Neural Machine Translation8▲ 13×1 topic
- Statistical Machine Translation8▲ 13×1 topic
Which research topics does Meta (United States) publish most on?
By volume in 2022-now: Topic Modeling, Recommender Systems and Techniques, Cloud Computing and Resource Management and Natural Language Processing Techniques.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Topic Modeling Artificial Intelligence 14 works
- 2 Recommender Systems and Techniques Information Systems 14 works
- 3 Cloud Computing and Resource Management Information Systems 8 works
- 4 Natural Language Processing Techniques Artificial Intelligence 8 works
- 5 Software Engineering Research Information Systems 7 works
- 6 Software Testing and Debugging Techniques Software 7 works
- 7 Multimodal Machine Learning Applications Computer Vision and Pattern Recognition 7 works
- 8 Advanced Graph Neural Networks Artificial Intelligence 6 works
- 9 Software System Performance and Reliability Computer Networks and Communications 6 works
- 10 Advanced Neural Network Applications Computer Vision and Pattern Recognition 6 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: 40% of research is openly available.
World: 18% is written across borders.
How has Meta (United States)'s research output changed?
Output in 2022-2025 was 57% lower than in 2018-2021.
The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.
Its share of all research
Growing output can still be a shrinking share: all of science grows. This is Meta (United States) as a percentage of every work published that year, 0.0020% in 2024.
Fractional works of Meta (United States) over all fractional works that year. How the balance of science has shifted.
How much of it reaches the world top 10%
Year by year, against all institutions in the same year.
Of each year's output, the share that reached the world's 10% most cited for its field and year. Peak 42.0% in 2010.
Other research institutions in Menlo Park
- SRI International
- Exponent (United States)
- Pacific Biosciences (United States)
- ATUM (United States)
- Personalis (United States)
- Geron (United States)
- Alpha Omega Alpha Medical Honor Society
- Acuity Technologies (United States)
Research measures only: rankings here say nothing about teaching, admissions or student experience. Comparable institutions and collaboration partners have tabs of their own, above.
Questions people ask
What does Meta AI publish research on?
In research, Meta (United States) stands highest in Computer Science (#324 of 4,417 worldwide), Physical Sciences (#1,141 of 10,670 worldwide) and Artificial Intelligence (#374 of 1,862 worldwide), 2022-now. Relative to its size it is most specialised in Computer Networks and Communications, Artificial Intelligence and Computer Vision and Pattern Recognition (Computer Networks and Communications is 7.0× its share of world research).
Discussion
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