Intel (India)
In research, Intel (India) stands highest in Computer Science (#1,838 of 4,667 worldwide), Physical Sciences (#6,939 of 12,888 worldwide) and Engineering (#4,130 of 6,636 worldwide), 2022–2025. 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 98.8× its share of world research.
- World rank, 2022–2025
- #10,455 of 28,054 · #13,857 all time
- Rank in India
- #742 of 1,840
- Research works
- 707 ▲ 125% vs 2013–17
- Citations
- 6.8k 9.6 per fractional work
- Top-10% rate
- 9.6% record average 16.5%
- Open access
- 14% world 28%
What is Intel (India) 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 | #1,838 of 4,667 | 10.9% | 112 | #1465 | |
| Physical SciencesDomain | #6,939 of 12,888 | 8.8% | 251 | #8586 | |
| EngineeringField | #4,130 of 6,636 | 6.5% | 129 | #6445 | |
| Electrical and Electronic EngineeringSubfield | #2,034 of 2,318 | 5.7% | 83 | #3349 |
Each strip is that field’s whole ranked pool, with the notch where Intel (India) 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#1,465 #1,838
- Physical Sciences#8,586 #6,939
- Engineering#6,445 #4,130
- Electrical and Electronic Engineering#3,349 #2,034
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
What does Intel (India) specialise in?
Where its research is concentrated relative to its size: Hardware and Architecture takes 98.8× the share of its output that it takes of world research.
- Hardware and ArchitectureSubfield · 33.3 works99×
- Computer Networks and CommunicationsSubfield · 22.0 works8.2×
- Electrical and Electronic EngineeringSubfield · 83.3 works7.8×
- Computer ScienceField · 112.3 works4.8×
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, 4.8×. Every wedge is a field page.
- Computer Science 4.8×
- Engineering 2.9×
- Neuroscience 1.6×
- Decision Sciences 0.8×
- Health Professions 0.4×
- Physics and Astronomy 0.4×
- Agricultural and Biological Sciences 0.3×
- Earth and Planetary Sciences 0.3×
- Business, Management and Accounting 0.3×
- Medicine 0.3×
- Materials Science 0.3×
- Biochemistry, Genetics and Molecular Biology 0.2×
- Dentistry 0.2×
- Psychology 0.2×
- Environmental Science 0.2×
- Social Sciences 0.1×
- Economics, Econometrics and Finance 0.1×
- Chemical Engineering 0.1×
- Chemistry 0.0×
- Energy 0.0×
- Mathematics 0.0×
- Arts and Humanities 0.0×
- Immunology and Microbiology 0.0×
Who are the top researchers at Intel (India)?
Ranked on the composite score, Sreenivas Subramoney, Sanchit Misra and Javed S Gaggatur lead among researchers whose main affiliation is Intel (India).
- 1 Sreenivas Subramoney India · #680,536 worldwide 47 citations · 18 works
- 2 Sanchit Misra India · #765,090 worldwide 42 citations · 23 works
- 3 Javed S Gaggatur India · #1,283,598 worldwide 37 citations · 17 works
- 4 Raghavendra Bhat India · #1,599,805 worldwide 7 citations · 15 works
Which keywords describe research at Intel (India)?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, CMOS Technology, Machine Learning, Process Variation, Energy Efficiency, Low-Power, Embedded Cores and Test Data Compression.
- Photon Emission Microscopy
- Frequency Synthesizer
- Neuromorphic Computing
- CMOS
- Nanowire Transistors
- Reconfigurable Computing
- Power Electronics
- GPU Computing
- Classification
- Embedded Systems
- High-Performance Computing
- Integrated Circuits
- Fault Tolerance
- Parallel Computing
- VLSI Circuits
- Convolutional Neural Networks
- Embedded Cores
- Neural Networks
- Process Variation
- Machine Learning
- Deep Learning
- CMOS Technology
- Energy Efficiency
- Low-Power
- Test Data Compression
- Approximate Computing
- FPGA
- Nanoelectronics
- Feature Extraction
- Thermal Management
- Medical Imaging
- Power Optimization
- Delta-Sigma Modulator
- Performance Optimization
- High-Level Synthesis
- Fault Localization
- Tunnel Field-Effect Transistors
- Transfer Learning
- Failure Analysis
- Laser Voltage Probing
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 Learning50▲ 4.8×58 topics
- Machine Learning33▲ 3.4×44 topics
- CMOS Technology23▲ 95×4 topics
- Process Variation19▲ 106×2 topics
- Energy Efficiency18▲ 6.4×11 topics
- Neural Networks18▲ 3.8×23 topics
- Low-Power16▲ 131×2 topics
- Embedded Cores16▲ 342×1 topic
- Test Data Compression16▲ 342×1 topic
- Convolutional Neural Networks15▲ 6.8×12 topics
- Approximate Computing12▲ 213×1 topic
- VLSI Circuits12▲ 213×1 topic
- FPGA11▲ 101×4 topics
- Parallel Computing10▲ 29×3 topics
- Nanoelectronics10▲ 37×2 topics
- Fault Tolerance9▲ 20×4 topics
- Feature Extraction9▲ 6.4×9 topics
- Integrated Circuits9▲ 19×3 topics
- Thermal Management9▲ 8.7×5 topics
- High-Performance Computing8▲ 34×2 topics
- Medical Imaging8▲ 5.4×6 topics
- Embedded Systems8▲ 59×3 topics
- Power Optimization8▲ 98×2 topics
- Classification8▲ 5.4×7 topics
- Delta-Sigma Modulator7▲ 73×2 topics
- GPU Computing7▲ 62×1 topic
- Performance Optimization7▲ 37×1 topic
- Power Electronics7▲ 7.0×6 topics
- High-Level Synthesis7▲ 111×1 topic
- Reconfigurable Computing7▲ 92×1 topic
- Fault Localization6▲ 32×2 topics
- Nanowire Transistors6▲ 54×1 topic
- Tunnel Field-Effect Transistors6▲ 54×1 topic
- CMOS6▲ 41×2 topics
- Transfer Learning6▲ 11×2 topics
- Neuromorphic Computing6▲ 17×2 topics
- Failure Analysis6▲ 20×2 topics
- Frequency Synthesizer6▲ 48×2 topics
- Laser Voltage Probing6▲ 64×1 topic
- Photon Emission Microscopy6▲ 64×1 topic
Which research topics does Intel (India) publish most on?
By volume in 2022–2025: VLSI and Analog Circuit Testing, Low-power high-performance VLSI design, Parallel Computing and Optimization Techniques and Embedded Systems Design Techniques.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 VLSI and Analog Circuit Testing Hardware and Architecture 16 works
- 2 Low-power high-performance VLSI design Electrical and Electronic Engineering 12 works
- 3 Parallel Computing and Optimization Techniques Hardware and Architecture 7 works
- 4 Embedded Systems Design Techniques Hardware and Architecture 7 works
- 5 Advancements in Semiconductor Devices and Circuit Design Electrical and Electronic Engineering 6 works
- 6 Integrated Circuits and Semiconductor Failure Analysis Electrical and Electronic Engineering 6 works
- 7 Semiconductor materials and devices Electrical and Electronic Engineering 5 works
- 8 Electromagnetic Compatibility and Noise Suppression Electrical and Electronic Engineering 5 works
- 9 Radiation Effects in Electronics Electrical and Electronic Engineering 4 works
- 10 Brain Tumor Detection and Classification Neurology 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 Intel (India)'s research output changed?
Output in 2018–2022 was 125% 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 Bengaluru
- Indian Institute of Science Bangalore
- Christ University
- Jain University
- National Institute of Mental Health and Neurosciences
- Bangalore University
- Indian Space Research Organisation
- PES University
- M S Ramaiah University of Applied Sciences
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.