Intel (United States)
In research, Intel (United States) stands highest in Physical Sciences (#561 of 10,670 worldwide), Engineering (#445 of 5,901 worldwide) and Electrical and Electronic Engineering (#165 of 2,176 worldwide), 2022-now. Relative to its size it is most specialised in Hardware and Architecture, Computer Networks and Communications and Electrical and Electronic Engineering (Hardware and Architecture is 60.5× its share of world research).
- World rank, 2022-now
- #923 of 22,385 · #748 all time
- Rank in United States
- #206 of 3,332
- Research works
- 23k ◆ 1% vs 2018-21
- Citations
- 624k 27.7 per fractional work
- Top-10% rate
- 10.5% all institutions 10.0%
- vs its own fields
- 1.14× 1.00× is exactly expected
- Open access
- 17% world 40%
- International
- 25% world 18%
What is Intel (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 |
|---|---|---|---|---|---|
| Physical SciencesDomain | #561 of 10,670 | 10.4% | 2,323 | #393 | |
| EngineeringField | #445 of 5,901 | 10.3% | 1,120 | #347 | |
| Electrical and Electronic EngineeringSubfield | #165 of 2,176 | 12.3% | 718 | #110 | |
| Computer ScienceField | #337 of 4,417 | 11.2% | 988 | #188 | |
| Computer Networks and CommunicationsSubfield | #133 of 728 | 14.0% | 193 | #78 | |
| Social SciencesDomain | #1,993 of 9,585 | 9.0% | 286 | #1852 | |
| Health SciencesDomain | #2,132 of 9,902 | 13.7% | 118 | #3057 | |
| Artificial IntelligenceSubfield | #416 of 1,862 | 11.0% | 270 | #319 | |
| MedicineField | #2,190 of 8,541 | 14.5% | 98 | #3005 | |
| Computer Vision and Pattern RecognitionSubfield | #300 of 963 | 10.8% | 141 | #184 |
Each strip is that field's whole ranked pool, with the notch where Intel (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.
- Physical Sciences#393 #561
- Engineering#347 #445
- Electrical and Electronic Engineering#110 #165
- Computer Science#188 #337
- Computer Networks and Communications#78 #133
- Social Sciences#1,852 #1,993
- Health Sciences#3,057 #2,132
- Artificial Intelligence#319 #416
- Medicine#3,005 #2,190
- Computer Vision and Pattern Recognition#184 #300
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 Intel (United States) work in?
In 2022-now, 82% of research at Intel (United States) is in Physical Sciences, 10% in Social Sciences. Its largest fields are Engineering (39%), Computer Science (35%), Social Sciences (4%). It does 2.1× 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 26 fields, with their numbers
- Physical Sciences2,47382.1%
- Engineering1,18939.5%
- Computer Science1,05034.9%
- Materials Science943.1%
- Physics and Astronomy692.3%
- Environmental Science331.1%
- Mathematics110.4%
- Earth and Planetary Sciences90.3%
- Chemistry80.3%
- Energy60.2%
- Chemical Engineering40.1%
- Social Sciences30610.2%
- Social Sciences1234.1%
- Business, Management and Accounting642.1%
- Decision Sciences441.5%
- Economics, Econometrics and Finance341.1%
- Psychology291.0%
- Arts and Humanities120.4%
- Health Sciences1334.4%
- Medicine1113.7%
- Health Professions190.6%
- Dentistry20.1%
- Nursing10.0%
- Veterinary00.0%
- Life Sciences1003.3%
What does Intel (United States) specialise in?
Where its research is concentrated relative to its size: Hardware and Architecture takes 60.5× the share of its output that it takes of world research.
- Hardware and ArchitectureSubfield · 205.2 works61×
- Computer Networks and CommunicationsSubfield · 204.1 works7.6×
- Electrical and Electronic EngineeringSubfield · 762.2 works7.1×
- Computer ScienceField · 1,050.0 works4.5×
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, 4.5×. Every wedge is a field page.
All 26 fields, with their numbers
- Computer Science4.48×1,050 works
- Engineering2.63×1,189 works
- Decision Sciences1.51×44 works
- Physics and Astronomy1.03×69 works
- Neuroscience0.91×45 works
- Materials Science0.89×94 works
- Business, Management and Accounting0.66×64 works
- Economics, Econometrics and Finance0.53×34 works
- Chemical Engineering0.35×4 works
- Social Sciences0.32×123 works
- Psychology0.31×29 works
- Mathematics0.30×11 works
- Health Professions0.24×19 works
- Energy0.23×6 works
- Environmental Science0.22×34 works
- Biochemistry, Genetics and Molecular Biology0.21×34 works
- Earth and Planetary Sciences0.20×10 works
- Medicine0.19×112 works
- Chemistry0.16×8 works
- Arts and Humanities0.14×12 works
- Agricultural and Biological Sciences0.13×18 works
- Pharmacology, Toxicology and Pharmaceutics0.11×1 works
- Dentistry0.10×2 works
- Immunology and Microbiology0.09×3 works
- Veterinary0.06×0 works
- Nursing0.04×1 works
- Computer Science 4.5×
- Engineering 2.6×
- Decision Sciences 1.5×
- Physics and Astronomy 1.0×
- Neuroscience 0.9×
- Materials Science 0.9×
- Business, Management and Accounting 0.7×
- Economics, Econometrics and Finance 0.5×
- Chemical Engineering 0.3×
- Social Sciences 0.3×
- Psychology 0.3×
- Mathematics 0.3×
- Health Professions 0.2×
- Energy 0.2×
- Environmental Science 0.2×
- Biochemistry, Genetics and Molecular Biology 0.2×
- Earth and Planetary Sciences 0.2×
- Medicine 0.2×
- Chemistry 0.2×
- Arts and Humanities 0.1×
- Agricultural and Biological Sciences 0.1×
- Pharmacology, Toxicology and Pharmaceutics 0.1×
- Dentistry 0.1×
- Immunology and Microbiology 0.1×
- Veterinary 0.1×
- Nursing 0.0×
Who are the top researchers at Intel (United States)?
Ranked on the quality score, Vladlen Koltun, Konstantina Papagiannaki and Chris B. Wilkerson lead among researchers whose main affiliation is Intel (United States).
- 1
Vladlen Koltun
United States · #6,842 worldwide 56k citations · 316 works
- 2
Konstantina Papagiannaki
United States · #32,361 worldwide 9.8k citations · 151 works
- 3
Chris B. Wilkerson
United States · #33,547 worldwide 6.6k citations · 80 works
- 4
Aamer Jaleel
United States · #47,313 worldwide 6.5k citations · 112 works
- 5
Pradeep Kumar Dubey
United States · #48,370 worldwide 15k citations · 372 works
- 6
Nadathur Satish
United States · #51,141 worldwide 7k citations · 70 works
- 7
Tahir Ghani
United States · #51,837 worldwide 8k citations · 64 works
- 8
Mark T. Bohr
United States · #57,493 worldwide 7.5k citations · 70 works
- 9
Jeffrey R. Hightower
United States · #57,839 worldwide 9.7k citations · 38 works
- 10
Petros Maniatis
United States · #60,070 worldwide 7.2k citations · 119 works
Which keywords describe research at Intel (United States)?
By fractional works in 2022-now, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Machine Learning, Parallel Computing, CMOS Technology, Thermal Management, Energy Efficiency and Integrated Circuits.
- Electromigration
- Power Optimization
- Photon Emission Microscopy
- High-Temperature Electronics
- Atomic Layer Deposition
- VLSI Circuits
- Through-Silicon Via
- Test Data Compression
- Failure Analysis
- Fault Tolerance
- FPGA
- Distributed Systems
- Nanoelectronics
- Performance Optimization
- GPU Computing
- High-Performance Computing
- Integrated Circuits
- CMOS Technology
- Energy Efficiency
- Machine Learning
- Deep Learning
- Neural Networks
- Parallel Computing
- Thermal Management
- Process Variation
- Big Data
- Multicore Architectures
- Convolutional Neural Networks
- Low-Power
- Neuromorphic Computing
- Fault Localization
- System Integration
- Embedded Cores
- Interconnect
- Approximate Computing
- Semiconductor Devices
- High-k Dielectrics
- Laser Voltage Probing
- Thin Films
- Embedded Systems
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 Learning339▲ 3.3×79 topics
- Machine Learning213▲ 2.1×87 topics
- Neural Networks171▲ 3.7×34 topics
- Energy Efficiency129▲ 4.6×30 topics
- Parallel Computing110▲ 31×5 topics
- CMOS Technology105▲ 43×5 topics
- Thermal Management104▲ 11×8 topics
- Integrated Circuits100▲ 23×3 topics
- Process Variation98▲ 56×2 topics
- High-Performance Computing97▲ 40×3 topics
- Big Data91▲ 3.2×30 topics
- GPU Computing76▲ 65×1 topic
- Multicore Architectures76▲ 65×1 topic
- Performance Optimization76▲ 40×2 topics
- Convolutional Neural Networks74▲ 3.4×14 topics
- Nanoelectronics72▲ 29×2 topics
- Low-Power70▲ 55×2 topics
- Distributed Systems67▲ 13×6 topics
- Neuromorphic Computing66▲ 19×2 topics
- FPGA65▲ 57×4 topics
- Fault Localization62▲ 30×2 topics
- Fault Tolerance62▲ 13×7 topics
- System Integration60▲ 105×2 topics
- Failure Analysis60▲ 22×4 topics
- Embedded Cores60▲ 132×1 topic
- Test Data Compression60▲ 132×1 topic
- Interconnect59▲ 119×1 topic
- Through-Silicon Via59▲ 119×1 topic
- Approximate Computing55▲ 89×1 topic
- VLSI Circuits55▲ 89×1 topic
- Semiconductor Devices54▲ 27×2 topics
- Atomic Layer Deposition54▲ 28×1 topic
- High-k Dielectrics54▲ 28×1 topic
- High-Temperature Electronics50▲ 28×2 topics
- Laser Voltage Probing50▲ 63×1 topic
- Photon Emission Microscopy50▲ 63×1 topic
- Thin Films50▲ 8.5×10 topics
- Power Optimization47▲ 58×2 topics
- Embedded Systems46▲ 34×4 topics
- Electromigration46▲ 54×2 topics
Which research topics does Intel (United States) publish most on?
By volume in 2022-now: Parallel Computing and Optimization Techniques, VLSI and Analog Circuit Testing, 3D IC and TSV technologies and Low-power high-performance VLSI design.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Parallel Computing and Optimization Techniques Hardware and Architecture 76 works
- 2 VLSI and Analog Circuit Testing Hardware and Architecture 60 works
- 3 3D IC and TSV technologies Electrical and Electronic Engineering 59 works
- 4 Low-power high-performance VLSI design Electrical and Electronic Engineering 55 works
- 5 Semiconductor materials and devices Electrical and Electronic Engineering 54 works
- 6 Integrated Circuits and Semiconductor Failure Analysis Electrical and Electronic Engineering 50 works
- 7 Advancements in Semiconductor Devices and Circuit Design Electrical and Electronic Engineering 44 works
- 8 Embedded Systems Design Techniques Hardware and Architecture 40 works
- 9 Advanced Memory and Neural Computing Electrical and Electronic Engineering 38 works
- 10 Electronic Packaging and Soldering Technologies Electrical and Electronic Engineering 33 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 Intel (United States)'s research output changed?
Output in 2022-2025 was 1% 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 Intel (United States) as a percentage of every work published that year, 0.014% in 2024.
Fractional works of Intel (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 20.4% in 2009.
Other research institutions in Santa Clara
- Santa Clara University
- Nvidia (United States)
- Agilent Technologies (United States)
- Applied Materials (United States)
- GlobalFoundries (United States)
- Coherent (United States)
- Renesas Electronics (United States)
- Evans Analytical Group (United States)
Compare Intel (United States) with
- vs
Salk Institute for Biological Studies
- vs
Medical College of Wisconsin
- vs
Tilburg University
- vs
Monash Health
- vs
Shanghai University of Traditional Chinese Medicine
- vs
Palacký University Olomouc
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 Intel publish research on?
In research, Intel (United States) stands highest in Physical Sciences (#561 of 10,670 worldwide), Engineering (#445 of 5,901 worldwide) and Electrical and Electronic Engineering (#165 of 2,176 worldwide), 2022-now. Relative to its size it is most specialised in Hardware and Architecture, Computer Networks and Communications and Electrical and Electronic Engineering (Hardware and Architecture is 60.5× its share of world research).
Discussion
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