Advanced Micro Devices (United States)
In research, Advanced Micro Devices (United States) stands highest in Computer Science (#906 of 4,667 worldwide) and Physical Sciences (#5,513 of 12,888 worldwide), 2022–2025. Relative to its size it is most specialised in Hardware and Architecture, Computer Science and Electrical and Electronic Engineering — Hardware and Architecture is 124.4× its share of world research.
- World rank, 2022–2025
- #8,313 of 28,054 · #5,045 all time
- Rank in United States
- #1,111 of 4,192
- Research works
- 1.9k ▼ 46% vs 2013–17
- Citations
- 28k 15.2 per fractional work
- Top-10% rate
- 17.5% record average 16.5%
- Open access
- 8% world 28%
What is Advanced Micro Devices (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 | #906 of 4,667 | 18.5% | 85 | #560 | |
| Physical SciencesDomain | #5,513 of 12,888 | 16.0% | 151 | #3317 |
Each strip is that field’s whole ranked pool, with the notch where Advanced Micro Devices (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).
What does Advanced Micro Devices (United States) specialise in?
Where its research is concentrated relative to its size: Hardware and Architecture takes 124.4× the share of its output that it takes of world research.
- Hardware and ArchitectureSubfield · 23.1 works124×
- Computer ScienceField · 84.6 works6.6×
- Electrical and Electronic EngineeringSubfield · 35.9 works6.1×
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, 6.6×. Every wedge is a field page.
- Computer Science 6.6×
- Decision Sciences 2.3×
- Engineering 2.2×
- Physics and Astronomy 1.0×
- Economics, Econometrics and Finance 0.7×
- Materials Science 0.6×
- Mathematics 0.4×
- Earth and Planetary Sciences 0.4×
- Energy 0.3×
- Neuroscience 0.2×
- Environmental Science 0.2×
- Biochemistry, Genetics and Molecular Biology 0.2×
- Psychology 0.1×
- Immunology and Microbiology 0.1×
- Chemistry 0.1×
- Health Professions 0.1×
- Medicine 0.1×
- Business, Management and Accounting 0.1×
- Social Sciences 0.1×
- Agricultural and Biological Sciences 0.0×
Who are the top researchers at Advanced Micro Devices (United States)?
Ranked on the composite score, Samuel Naffziger, Vilas Sridharan and Srilatha Manne lead among researchers whose main affiliation is Advanced Micro Devices (United States).
- 1 Samuel Naffziger United States · #124,504 worldwide 287 citations · 21 works
- 2 Vilas Sridharan United States · #160,098 worldwide 238 citations · 20 works
- 3 Srilatha Manne United States · #310,573 worldwide 168 citations · 18 works
- 4 Jeff Rearick United States · #475,990 worldwide 61 citations · 19 works
- 5 Alvin L. S. Loke United States · #599,280 worldwide 92 citations · 15 works
- 6 Peng Fang United States · #656,949 worldwide 68 citations · 32 works
- 7 Bernd Schulz United States · #719,447 worldwide 37 citations · 29 works
- 8 Ming-Ren Lin United States · #750,521 worldwide 81 citations · 15 works
- 9 Harry Levinson United States · #819,907 worldwide 102 citations · 97 works
- 10 Tom Wallow United States · #1,067,280 worldwide 38 citations · 16 works
Which keywords describe research at Advanced Micro Devices (United States)?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Parallel Computing, High-Performance Computing, Deep Learning, GPU Computing, Performance Optimization, Neural Networks, Distributed Systems and Machine Learning.
- Network Coding
- Process Variation
- Reconfigurable Computing
- Virtualization
- Grid Computing
- Computer Graphics
- Simulation
- Failure Analysis
- Interconnect
- System Integration
- Cloud Computing
- Test Data Compression
- Embedded Cores
- Fault Localization
- Big Data
- FPGA
- Distributed Systems
- GPU Computing
- Machine Learning
- Parallel Computing
- Deep Learning
- High-Performance Computing
- Neural Networks
- Performance Optimization
- Energy Efficiency
- Resource Management
- Power Optimization
- Thermal Management
- Fault Tolerance
- CMOS Technology
- Integrated Circuits
- Embedded Systems
- Through-Silicon Via
- Visualization
- Workflow Management
- Rendering
- Task Scheduling
- High-Level Synthesis
- Texture Analysis
- Distributed Storage
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 Learning22▲ 3.9×44 topics
- Parallel Computing17▲ 86×3 topics
- High-Performance Computing16▲ 120×2 topics
- Machine Learning13▲ 2.5×32 topics
- Neural Networks12▲ 4.9×16 topics
- GPU Computing12▲ 198×1 topic
- Performance Optimization12▲ 118×1 topic
- Distributed Systems9▲ 34×5 topics
- Energy Efficiency7▲ 4.7×9 topics
- FPGA7▲ 115×2 topics
- Resource Management7▲ 24×2 topics
- Big Data6▲ 4.2×9 topics
- Power Optimization6▲ 138×2 topics
- Fault Localization5▲ 48×2 topics
- Thermal Management5▲ 9.9×4 topics
- Embedded Cores5▲ 199×1 topic
- Fault Tolerance5▲ 19×5 topics
- Test Data Compression5▲ 199×1 topic
- CMOS Technology5▲ 38×5 topics
- Cloud Computing5▲ 10×4 topics
- Integrated Circuits5▲ 19×3 topics
- System Integration5▲ 162×2 topics
- Embedded Systems5▲ 65×2 topics
- Interconnect5▲ 173×1 topic
- Through-Silicon Via5▲ 173×1 topic
- Failure Analysis4▲ 28×2 topics
- Visualization4▲ 47×2 topics
- Simulation4▲ 10×2 topics
- Workflow Management4▲ 38×2 topics
- Computer Graphics4▲ 96×1 topic
- Rendering4▲ 96×1 topic
- Grid Computing4▲ 71×1 topic
- Task Scheduling4▲ 71×1 topic
- Virtualization4▲ 29×2 topics
- High-Level Synthesis4▲ 114×1 topic
- Reconfigurable Computing4▲ 94×1 topic
- Texture Analysis4▲ 10×3 topics
- Process Variation4▲ 38×2 topics
- Distributed Storage4▲ 78×1 topic
- Network Coding4▲ 46×1 topic
Which research topics does Advanced Micro Devices (United States) publish most on?
By volume in 2022–2025: Parallel Computing and Optimization Techniques, VLSI and Analog Circuit Testing, 3D IC and TSV technologies and Computer Graphics and Visualization Techniques.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Parallel Computing and Optimization Techniques Hardware and Architecture 12 works
- 2 VLSI and Analog Circuit Testing Hardware and Architecture 5 works
- 3 3D IC and TSV technologies Electrical and Electronic Engineering 5 works
- 4 Computer Graphics and Visualization Techniques Computer Graphics and Computer-Aided Design 4 works
- 5 Distributed and Parallel Computing Systems Computer Networks and Communications 4 works
- 6 Embedded Systems Design Techniques Hardware and Architecture 4 works
- 7 Advanced Data Storage Technologies Computer Networks and Communications 4 works
- 8 Industrial Vision Systems and Defect Detection Industrial and Manufacturing Engineering 3 works
- 9 Integrated Circuits and Semiconductor Failure Analysis Electrical and Electronic Engineering 3 works
- 10 VLSI and FPGA Design Techniques Electrical and Electronic Engineering 3 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 Advanced Micro Devices (United States)'s research output changed?
Output in 2018–2022 was 46% lower 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.
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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.