Xilinx (United States)
In research, Xilinx (United States) stands highest in Physical Sciences (#3,294 of 17,446 worldwide), Electrical and Electronic Engineering (#933 of 3,725 worldwide) and Computer Science (#1,742 of 6,336 worldwide), over all time.
- World rank, 2022-now
- #19,045 of 22,385 · #8,093 all time
- Rank in United States
- #2,813 of 3,332
- Research works
- 1.2k ▼ 65% vs 2018-21
- Citations
- 19k 16.6 per fractional work
- Top-10% rate
- 13.7% all institutions 10.0%
- vs its own fields
- 0.93× 1.00× is exactly expected
- Open access
- 18% world 40%
- International
- 18% world 18%
What is Xilinx (United States) known for in research?
The fields where it stands highest, over all time, ranked among every institution above the floor in each field.
| Field | World rank | Where that sits | Top-10% rate | Works |
|---|---|---|---|---|
| Physical SciencesDomain | #3,294 of 17,446 | 14.6% | 999 | |
| Electrical and Electronic EngineeringSubfield | #933 of 3,725 | 15.8% | 383 | |
| Computer ScienceField | #1,742 of 6,336 | 15.5% | 451 | |
| EngineeringField | #2,913 of 9,532 | 14.6% | 495 | |
| Hardware and ArchitectureSubfield | #150 of 363 | 17.6% | 253 |
Each strip is that field's whole ranked pool, with the notch where Xilinx (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 fields of science does Xilinx (United States) work in?
In 2022-now, 54% of research at Xilinx (United States) is in Physical Sciences, 24% in Social Sciences. Its largest fields are Engineering (23%), Computer Science (14%), Social Sciences (9%). It does 1.3× 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 24 fields, with their numbers
- Physical Sciences5553.5%
- Engineering2423.5%
- Computer Science1414.0%
- Environmental Science98.6%
- Materials Science44.0%
- Physics and Astronomy21.7%
- Chemical Engineering10.7%
- Chemistry00.3%
- Mathematics00.3%
- Earth and Planetary Sciences00.3%
- Energy00.1%
- Social Sciences2524.4%
- Health Sciences1211.7%
- Medicine98.5%
- Health Professions33.1%
- Dentistry00.1%
- Veterinary00.1%
- Life Sciences1110.4%
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: Economics, Econometrics and Finance, 2.6×. Every wedge is a field page.
All 24 fields, with their numbers
- Economics, Econometrics and Finance2.65×6 works
- Chemical Engineering1.87×1 works
- Computer Science1.80×14 works
- Environmental Science1.74×9 works
- Engineering1.57×24 works
- Arts and Humanities1.54×5 works
- Decision Sciences1.35×1 works
- Neuroscience1.17×2 works
- Health Professions1.16×3 works
- Materials Science1.15×4 works
- Psychology0.85×3 works
- Biochemistry, Genetics and Molecular Biology0.81×4 works
- Agricultural and Biological Sciences0.79×4 works
- Physics and Astronomy0.78×2 works
- Social Sciences0.70×9 works
- Business, Management and Accounting0.49×2 works
- Immunology and Microbiology0.44×0 works
- Medicine0.44×9 works
- Veterinary0.40×0 works
- Dentistry0.29×0 works
- Mathematics0.28×0 works
- Chemistry0.21×0 works
- Earth and Planetary Sciences0.19×0 works
- Energy0.07×0 works
- Economics, Econometrics and Finance 2.6×
- Chemical Engineering 1.9×
- Computer Science 1.8×
- Environmental Science 1.7×
- Engineering 1.6×
- Arts and Humanities 1.5×
- Decision Sciences 1.4×
- Neuroscience 1.2×
- Health Professions 1.2×
- Materials Science 1.1×
- Psychology 0.8×
- Biochemistry, Genetics and Molecular Biology 0.8×
- Agricultural and Biological Sciences 0.8×
- Physics and Astronomy 0.8×
- Social Sciences 0.7×
- Business, Management and Accounting 0.5×
- Immunology and Microbiology 0.4×
- Medicine 0.4×
- Veterinary 0.4×
- Dentistry 0.3×
- Mathematics 0.3×
- Chemistry 0.2×
- Earth and Planetary Sciences 0.2×
- Energy 0.1×
Who are the top researchers at Xilinx (United States)?
Ranked on the quality score, Stephen Neuendorffer, Kees Vissers and Liam Madden lead among researchers whose main affiliation is Xilinx (United States).
- 1
Stephen Neuendorffer
United States · #495,741 worldwide 3.2k citations · 63 works
- 2
Kees Vissers
United States · #556,722 worldwide 3.9k citations · 88 works
- 3
Liam Madden
United States · #798,775 worldwide 2k citations · 46 works
- 4
Tim Tuan
United States · #875,293 worldwide 1.6k citations · 29 works
- 5
Carl Carmichael
United States · #1,163,330 worldwide 1.1k citations · 38 works
- 6
Jason Geng
United States · #1,245,046 worldwide 3k citations · 38 works
- 7
Chris Dick
United States · #1,350,409 worldwide 4.1k citations · 146 works
- 8
Prasanna Sundararajan
United States · #1,377,215 worldwide 696 citations · 16 works
- 9
Stanley Chen
United States · #1,568,423 worldwide 2.2k citations · 46 works
- 10
Satyaki Das
United States · #1,757,523 worldwide 371 citations · 17 works
Which keywords describe research at Xilinx (United States)?
By fractional works in 2022-now, weighted toward what it does more of than the world: Deep Learning, Sustainability, Entrepreneurship, Digital Economy, Science, Industrial Enterprises, Innovation Economics and Economic Development.
- Resistive Switching
- Memristor
- Marine Environment
- Teaching Methods
- Student Competencies
- Interdisciplinary Collaboration
- Fault Tolerance
- Neuromorphic Computing
- Embedded Systems
- FPGA
- 3D Printing
- Literature
- Technology
- Industrial Enterprises
- Science
- Digital Economy
- Entrepreneurship
- Globalization
- Education
- Sustainability
- Deep Learning
- Machine Learning
- Neural Networks
- Economic Development
- Artificial Intelligence
- Healthcare
- Catalysis
- Innovation Economics
- Urbanization
- Pedagogy
- Computer Vision
- CMOS Technology
- Language Teaching
- Art
- Global Governance
- Postcolonialism
- Synaptic Plasticity
- Integrated Circuits
- High-Level Synthesis
- Reconfigurable Computing
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 Learning6▲ 1.79×18 topics
- Sustainability5▲ 2.0×11 topics
- Machine Learning5▲ 1.39×15 topics
- Education3▲ 1.90×11 topics
- Neural Networks3▲ 2.1×7 topics
- Globalization3▲ 1.50×6 topics
- Economic Development3▲ 3.4×5 topics
- Entrepreneurship3▲ 6.6×2 topics
- Artificial Intelligence2▲ 1.69×6 topics
- Digital Economy2▲ 11×2 topics
- Healthcare2▲ 1.95×9 topics
- Science2▲ 9.3×3 topics
- Catalysis2▲ 2.9×4 topics
- Industrial Enterprises2▲ 57×1 topic
- Innovation Economics2▲ 57×1 topic
- Technology2▲ 3.7×2 topics
- Urbanization2▲ 5.0×6 topics
- Literature2▲ 3.3×5 topics
- Pedagogy2▲ 3.5×4 topics
- 3D Printing2▲ 7.3×3 topics
- Computer Vision2▲ 5.7×2 topics
- FPGA2▲ 41×2 topics
- CMOS Technology2▲ 18×3 topics
- Embedded Systems2▲ 33×2 topics
- Language Teaching1▲ 5.3×2 topics
- Neuromorphic Computing1▲ 12×2 topics
- Art1▲ 14×1 topic
- Fault Tolerance1▲ 8.0×3 topics
- Global Governance1▲ 5.4×2 topics
- Interdisciplinary Collaboration1▲ 18×1 topic
- Postcolonialism1▲ 9.1×3 topics
- Student Competencies1▲ 20×1 topic
- Synaptic Plasticity1▲ 6.1×3 topics
- Teaching Methods1▲ 8.1×1 topic
- Integrated Circuits1▲ 7.9×3 topics
- Marine Environment1▲ 7.9×3 topics
- High-Level Synthesis1▲ 55×1 topic
- Memristor1▲ 13×1 topic
- Reconfigurable Computing1▲ 45×1 topic
- Resistive Switching1▲ 13×1 topic
Which research topics does Xilinx (United States) publish most on?
By volume in 2022-now: Economic and Industrial Development, Art, Technology, and Culture, Education, Innovation and Language Studies and Embedded Systems Design Techniques.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Economic and Industrial Development Economics and Econometrics 2 works
- 2 Art, Technology, and Culture Visual Arts and Performing Arts 1 works
- 3 Education, Innovation and Language Studies Education 1 works
- 4 Embedded Systems Design Techniques Hardware and Architecture 1 works
- 5 Advanced Memory and Neural Computing Electrical and Electronic Engineering 1 works
- 6 Cultural and Historical Studies Visual Arts and Performing Arts 1 works
- 7 Nanotechnology research and applications Biomedical Engineering 1 works
- 8 Advanced Manufacturing and Logistics Optimization Industrial and Manufacturing Engineering 1 works
- 9 Advanced Neural Network Applications Computer Vision and Pattern Recognition 1 works
- 10 Surface Modification and Superhydrophobicity Surfaces, Coatings and Films 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 Xilinx (United States)'s research output changed?
Output in 2022-2025 was 65% 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 Xilinx (United States) as a percentage of every work published that year, 0.00020% in 2024.
Fractional works of Xilinx (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 25.9% in 2018.
Other research institutions in San Jose
- San Jose State University
- ITRI International
- Altera (United States)
- Adobe Systems (United States)
- Cadence Design Systems (United States)
- Western Digital (United States)
- Hitachi Global Storage Technologies (United States)
- Broadcom (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.
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