- World rank, all time
- #28,657 of 34,923
- Rank in United States
- #6,025 of 7,310
- Research works
- 144 ▼ 55% vs 2018-21
- Citations
- 5.5k 37.9 per fractional work
- Top-10% rate
- 7.8% all institutions 10.0%
- vs its own fields
- 1.04× 1.00× is exactly expected
- Open access
- 48% world 40%
- International
- 26% world 18%
Which fields of science does Uber AI (United States) work in?
In 2022-now, 52% of research at Uber AI (United States) is in Physical Sciences, 42% in Social Sciences. Its largest fields are Computer Science (38%), Business, Management and Accounting (15%), Social Sciences (14%). It does 1.5× the world's share of Social 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 18 fields, with their numbers
- Physical Sciences2152.3%
- Computer Science1638.2%
- Engineering49.9%
- Mathematics11.4%
- Physics and Astronomy01.2%
- Energy00.8%
- Environmental Science00.5%
- Earth and Planetary Sciences00.2%
- Social Sciences1742.1%
- Health Sciences13.3%
- Health Professions12.0%
- Medicine11.2%
- Life Sciences12.3%
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: Decision Sciences, 5.7×. Every wedge is a field page.
All 18 fields, with their numbers
- Decision Sciences5.65×2 works
- Computer Science4.91×16 works
- Business, Management and Accounting4.51×6 works
- Economics, Econometrics and Finance3.19×3 works
- Mathematics1.18×1 works
- Social Sciences1.13×6 works
- Energy0.89×0 works
- Health Professions0.77×1 works
- Engineering0.66×4 works
- Physics and Astronomy0.55×0 works
- Immunology and Microbiology0.47×0 works
- Biochemistry, Genetics and Molecular Biology0.21×0 works
- Psychology0.18×0 works
- Agricultural and Biological Sciences0.14×0 works
- Arts and Humanities0.14×0 works
- Earth and Planetary Sciences0.13×0 works
- Environmental Science0.11×0 works
- Medicine0.06×0 works
- Decision Sciences 5.7×
- Computer Science 4.9×
- Business, Management and Accounting 4.5×
- Economics, Econometrics and Finance 3.2×
- Mathematics 1.2×
- Social Sciences 1.1×
- Energy 0.9×
- Health Professions 0.8×
- Engineering 0.7×
- Physics and Astronomy 0.6×
- Immunology and Microbiology 0.5×
- Biochemistry, Genetics and Molecular Biology 0.2×
- Psychology 0.2×
- Agricultural and Biological Sciences 0.1×
- Arts and Humanities 0.1×
- Earth and Planetary Sciences 0.1×
- Environmental Science 0.1×
- Medicine 0.1×
Who are the top researchers at Uber AI (United States)?
Ranked on the quality score, Josh Cutler, Matt Dickenson and Huaixiu Zheng lead among researchers whose main affiliation is Uber AI (United States).
- 1
Josh Cutler
United States · #1,591,632 worldwide 772 citations · 22 works
- 2
Matt Dickenson
United States · #3,136,296 worldwide 663 citations · 22 works
- 3
Huaixiu Zheng
United States · #3,535,379 worldwide 1k citations · 19 works
- 4
Rafael Conte
United States · #7,005,299 worldwide 18 citations · 99 works
Which keywords describe research at Uber AI (United States)?
By fractional works in 2022-now, weighted toward what it does more of than the world: Big Data, Distributed Systems, Machine Learning, Consumer Behavior, Deep Learning, E-commerce, Game Theory and Social Media.
- Resource Allocation
- Anomaly Detection
- Mobile Networks
- MapReduce
- Electronic Word-of-Mouth
- Consumer Engagement
- Caching
- Marketing Strategies
- Mechanism Design
- Analytics
- Cloud Computing
- Supply Chain Management
- Sustainability
- Consumer Behavior
- Distributed Systems
- Big Data
- Machine Learning
- Deep Learning
- Social Media
- Energy Efficiency
- E-commerce
- Neural Networks
- Game Theory
- Business Intelligence
- Wireless Networks
- Retail Economics
- Coalition Formation
- Data Mining
- Information-Centric Networking
- Matching Theory
- Virtualization
- Clustering Algorithms
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 32 words are chosen for being large and distinctive. Each links to the topic it comes from most.
All 32 words, with their numbers
- Machine Learning4▲ 2.7×19 topics
- Big Data4▲ 9.3×7 topics
- Deep Learning4▲ 2.6×19 topics
- Distributed Systems2▲ 34×3 topics
- Social Media2▲ 4.2×7 topics
- Consumer Behavior2▲ 8.7×5 topics
- Energy Efficiency2▲ 5.4×5 topics
- Sustainability2▲ 2.1×5 topics
- E-commerce2▲ 8.6×4 topics
- Supply Chain Management2▲ 5.4×5 topics
- Neural Networks2▲ 3.0×12 topics
- Cloud Computing2▲ 15×4 topics
- Game Theory2▲ 26×3 topics
- Analytics2▲ 41×1 topic
- Business Intelligence2▲ 41×1 topic
- Mechanism Design1▲ 88×2 topics
- Wireless Networks1▲ 22×3 topics
- Marketing Strategies1▲ 35×1 topic
- Retail Economics1▲ 135×1 topic
- Caching1▲ 102×1 topic
- Coalition Formation1▲ 277×1 topic
- Consumer Engagement1▲ 23×1 topic
- Data Mining1▲ 3.9×3 topics
- Electronic Word-of-Mouth1▲ 23×1 topic
- Information-Centric Networking1▲ 102×1 topic
- MapReduce1▲ 50×1 topic
- Matching Theory1▲ 277×1 topic
- Mobile Networks1▲ 84×2 topics
- Virtualization1▲ 35×1 topic
- Anomaly Detection1▲ 9.6×3 topics
- Clustering Algorithms1▲ 38×2 topics
- Resource Allocation1▲ 14×4 topics
Which research topics does Uber AI (United States) publish most on?
By volume in 2022-now: Big Data and Business Intelligence, Consumer Market Behavior and Pricing, Caching and Content Delivery and Digital Marketing and Social Media.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Big Data and Business Intelligence Management Information Systems 2 works
- 2 Consumer Market Behavior and Pricing Marketing 1 works
- 3 Caching and Content Delivery Computer Networks and Communications 1 works
- 4 Digital Marketing and Social Media Sociology and Political Science 1 works
- 5 Game Theory and Voting Systems Economics and Econometrics 1 works
- 6 Cloud Computing and Resource Management Information Systems 1 works
- 7 Software Testing and Debugging Techniques Software 1 works
- 8 Recommender Systems and Techniques Information Systems 1 works
- 9 Software Engineering Research Information Systems 1 works
- 10 Data Management and Algorithms Signal Processing 1 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 Uber AI (United States)'s research output changed?
Output in 2022-2025 was 55% 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 Uber AI (United States) as a percentage of every work published that year, 0.00018% in 2024.
Fractional works of Uber AI (United States) over all fractional works that year. How the balance of science has shifted.
Other research institutions in San Francisco
Research measures only: rankings here say nothing about teaching, admissions or student experience. Comparable institutions and collaboration partners have tabs of their own, above.
Discussion
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