Meta (United States)
In research, Meta (United States) stands highest in Computer Science (#668 of 4,667 worldwide), Physical Sciences (#4,084 of 12,888 worldwide) and Engineering (#3,519 of 6,636 worldwide), 2022–2025. Relative to its size it is most specialised in Computer Networks and Communications, Computer Vision and Pattern Recognition and Computer Science — Computer Networks and Communications is 9.1× its share of world research.
- World rank, 2022–2025
- #6,116 of 28,054 · #4,818 all time
- Rank in United States
- #826 of 4,192
- Research works
- 1.3k ▲ 171% vs 2013–17
- Citations
- 86k 68.2 per fractional work
- Top-10% rate
- 25.9% record average 16.5%
- Open access
- 41% world 28%
What is Meta (United States) 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 | #668 of 4,667 | 27.3% | 168 | #466 | |
| Physical SciencesDomain | #4,084 of 12,888 | 24.2% | 264 | #3469 | |
| EngineeringField | #3,519 of 6,636 | 17.7% | 73 | #4901 |
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 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#466 #668
- Physical Sciences#3,469 #4,084
- Engineering#4,901 #3,519
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
What does Meta (United States) specialise in?
Where its research is concentrated relative to its size: Computer Networks and Communications takes 9.1× the share of its output that it takes of world research.
- Computer Networks and CommunicationsSubfield · 28.8 works9.1×
- Computer Vision and Pattern RecognitionSubfield · 28.2 works6.3×
- Computer ScienceField · 168.1 works6.1×
- Artificial IntelligenceSubfield · 48.2 works5.6×
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, 6.1×. Every wedge is a field page.
- Computer Science 6.1×
- Decision Sciences 3.7×
- Mathematics 1.9×
- Engineering 1.4×
- Business, Management and Accounting 1.2×
- Neuroscience 1.1×
- Physics and Astronomy 0.7×
- Economics, Econometrics and Finance 0.6×
- Psychology 0.5×
- Biochemistry, Genetics and Molecular Biology 0.5×
- Social Sciences 0.4×
- Energy 0.3×
- Earth and Planetary Sciences 0.3×
- Medicine 0.3×
- Materials Science 0.2×
- Health Professions 0.2×
- Environmental Science 0.2×
- Pharmacology, Toxicology and Pharmaceutics 0.1×
- Chemical Engineering 0.1×
- Immunology and Microbiology 0.1×
- Arts and Humanities 0.1×
- Nursing 0.1×
- Chemistry 0.1×
- Agricultural and Biological Sciences 0.0×
Who are the top researchers at Meta (United States)?
Ranked on the composite score, Allan G. Piersol, Mark Tygert and Christian Fuegen lead among researchers whose main affiliation is Meta (United States).
- 1 Allan G. Piersol United States · #102,625 worldwide 585 citations · 22 works
- 2 Mark Tygert United States · #204,754 worldwide 247 citations · 22 works
- 3 Christian Fuegen United States · #1,059,831 worldwide 80 citations · 26 works
- 4 Jay Mahadeokar United States · #1,204,783 worldwide 57 citations · 23 works
- 5 Mona Colburn United States · #1,550,855 worldwide 5 citations · 16 works
Which keywords describe research at Meta (United States)?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Machine Learning, Big Data, Distributed Systems, Collaborative Filtering, Matrix Factorization and Resource Management.
- Federated Learning
- Unsupervised Learning
- GPU Computing
- Graph Convolutional Networks
- Heterogeneous Networks
- Wireless Networks
- Word Representation
- Topic Modeling
- MapReduce
- Surveillance
- Semi-Supervised Learning
- Anomaly Detection
- Representation Learning
- Virtualization
- Parallel Computing
- Resource Management
- Matrix Factorization
- Energy Efficiency
- Big Data
- Neural Networks
- Deep Learning
- Machine Learning
- Distributed Systems
- Collaborative Filtering
- Data Mining
- Cloud Computing
- Convolutional Neural Networks
- Information Retrieval
- High-Performance Computing
- Security
- Text Classification
- Data Centers
- IoT Security
- Machine Translation
- Convex Optimization
- Workflow Management
- Hyperparameter Optimization
- Convolutional Networks
- Performance Optimization
- Differential Privacy
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 Learning68▲ 5.5×62 topics
- Neural Networks40▲ 7.2×27 topics
- Machine Learning34▲ 2.9×50 topics
- Big Data18▲ 5.6×17 topics
- Distributed Systems15▲ 26×6 topics
- Energy Efficiency12▲ 3.5×14 topics
- Collaborative Filtering10▲ 77×1 topic
- Matrix Factorization10▲ 77×1 topic
- Data Mining10▲ 3.6×10 topics
- Resource Management10▲ 16×2 topics
- Cloud Computing9▲ 9.5×7 topics
- Parallel Computing9▲ 22×4 topics
- Convolutional Neural Networks9▲ 3.4×11 topics
- Virtualization9▲ 30×2 topics
- Information Retrieval8▲ 11×4 topics
- Representation Learning8▲ 17×3 topics
- High-Performance Computing8▲ 27×2 topics
- Anomaly Detection8▲ 7.5×3 topics
- Security8▲ 3.3×15 topics
- Semi-Supervised Learning7▲ 18×3 topics
- Text Classification7▲ 12×3 topics
- Surveillance7▲ 6.9×4 topics
- Data Centers6▲ 31×1 topic
- MapReduce6▲ 31×1 topic
- IoT Security6▲ 5.4×3 topics
- Topic Modeling6▲ 12×2 topics
- Machine Translation6▲ 10×1 topic
- Word Representation6▲ 14×1 topic
- Convex Optimization6▲ 21×4 topics
- Wireless Networks6▲ 10×8 topics
- Workflow Management6▲ 23×2 topics
- Heterogeneous Networks5▲ 16×2 topics
- Hyperparameter Optimization5▲ 37×2 topics
- Graph Convolutional Networks5▲ 13×2 topics
- Convolutional Networks5▲ 9.9×3 topics
- GPU Computing5▲ 36×1 topic
- Performance Optimization5▲ 21×1 topic
- Unsupervised Learning5▲ 9.4×3 topics
- Differential Privacy5▲ 18×1 topic
- Federated Learning5▲ 18×1 topic
Which research topics does Meta (United States) publish most on?
By volume in 2022–2025: Recommender Systems and Techniques, Cloud Computing and Resource Management, Topic Modeling and Parallel Computing and Optimization Techniques.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Recommender Systems and Techniques Information Systems 10 works
- 2 Cloud Computing and Resource Management Information Systems 6 works
- 3 Topic Modeling Artificial Intelligence 6 works
- 4 Parallel Computing and Optimization Techniques Hardware and Architecture 5 works
- 5 Privacy-Preserving Technologies in Data Artificial Intelligence 5 works
- 6 Advanced Graph Neural Networks Artificial Intelligence 4 works
- 7 Image and Video Quality Assessment Computer Vision and Pattern Recognition 4 works
- 8 Advanced Data Storage Technologies Computer Networks and Communications 4 works
- 9 Software Engineering Research Information Systems 4 works
- 10 Multimodal Machine Learning Applications Computer Vision and Pattern Recognition 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.
World: 28% of research is openly available.
World: 19% is written across borders.
How has Meta (United States)'s research output changed?
Output in 2018–2022 was 171% 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 Menlo Park
- SRI International
- SLAC National Accelerator Laboratory
- Stanford Synchrotron Radiation Lightsource
- Exponent (United States)
- Kavli Institute for Particle Astrophysics and Cosmology
- Pacific Biosciences (United States)
- Linac Coherent Light Source
- ATUM (United States)
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.