Samsung (India)
In research, Samsung (India) stands highest in Computer Science (#3,191 of 4,667 worldwide), Engineering (#4,825 of 6,636 worldwide) and Physical Sciences (#10,295 of 12,888 worldwide), 2022–2025. Relative to its size it is most specialised in Signal Processing, Computer Networks and Communications and Computer Vision and Pattern Recognition — Signal Processing is 16.4× its share of world research.
- World rank, 2022–2025
- #19,483 of 28,054 · #28,774 all time
- Rank in India
- #1,293 of 1,840
- Research works
- 1.5k ▲ 34% vs 2013–17
- Citations
- 9.2k 6.1 per fractional work
- Top-10% rate
- 4.8% record average 16.5%
- Open access
- 15% world 28%
What is Samsung (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 | #3,191 of 4,667 | 4.7% | 233 | #4185 | |
| EngineeringField | #4,825 of 6,636 | 5.2% | 134 | #5935 | |
| Physical SciencesDomain | #10,295 of 12,888 | 4.9% | 375 | #15909 | |
| Electrical and Electronic EngineeringSubfield | #2,168 of 2,318 | 4.3% | 82 | #3257 | |
| Computer Vision and Pattern RecognitionSubfield | #941 of 941 | 0.9% | 62 | #1742 |
Each strip is that field’s whole ranked pool, with the notch where Samsung (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#4,185 #3,191
- Engineering#5,935 #4,825
- Physical Sciences#15,909 #10,295
- Electrical and Electronic Engineering#3,257 #2,168
- Computer Vision and Pattern Recognition#1,742 #941
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
What does Samsung (India) specialise in?
Where its research is concentrated relative to its size: Signal Processing takes 16.4× the share of its output that it takes of world research.
- Signal ProcessingSubfield · 20.9 works16×
- Computer Networks and CommunicationsSubfield · 50.6 works14×
- Computer Vision and Pattern RecognitionSubfield · 62.3 works12×
- Computer ScienceField · 233.2 works7.2×
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, 7.2×. Every wedge is a field page.
- Computer Science 7.2×
- Engineering 2.1×
- Psychology 0.7×
- Decision Sciences 0.7×
- Physics and Astronomy 0.4×
- Business, Management and Accounting 0.3×
- Neuroscience 0.3×
- Health Professions 0.2×
- Biochemistry, Genetics and Molecular Biology 0.2×
- Earth and Planetary Sciences 0.1×
- Medicine 0.1×
- Veterinary 0.1×
- Arts and Humanities 0.1×
- Pharmacology, Toxicology and Pharmaceutics 0.1×
- Energy 0.1×
- Social Sciences 0.1×
- Chemistry 0.1×
- Agricultural and Biological Sciences 0.1×
- Dentistry 0.1×
- Economics, Econometrics and Finance 0.1×
- Materials Science 0.1×
- Environmental Science 0.1×
- Mathematics 0.1×
Who are the top researchers at Samsung (India)?
Ranked on the composite score, Arindam Chaudhuri, Diwakar Sharma and Joy Bose lead among researchers whose main affiliation is Samsung (India).
- 1 Arindam Chaudhuri India · #780,547 worldwide 44 citations · 31 works
- 2 Diwakar Sharma India · #1,400,408 worldwide 16 citations · 19 works
- 3 Joy Bose India · #1,433,726 worldwide 12 citations · 28 works
- 4 Ashok Kumar Reddy Chavva India · #1,556,154 worldwide 8 citations · 15 works
Which keywords describe research at Samsung (India)?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Energy Efficiency, Convolutional Neural Networks, Wireless Networks, 5G Networks, Massive MIMO and Machine Learning.
- Non-Orthogonal Multiple Access
- Speech Enhancement
- Deep Neural Networks
- Edge Computing
- Mobile Edge Computing
- Image Processing
- Security and Privacy
- Distributed Systems
- Interference Alignment
- Channel Modeling
- 5G
- MIMO Systems
- Healthcare
- Beamforming
- Channel Estimation
- Security
- Massive MIMO
- Wireless Networks
- Energy Efficiency
- Neural Networks
- Deep Learning
- Machine Learning
- Convolutional Neural Networks
- 5G Networks
- Internet of Things
- Spectral Efficiency
- Feature Extraction
- IoT Security
- Wireless Communication
- Heterogeneous Networks
- Cellular Networks
- Convolutional Networks
- Anomaly Detection
- Resource Allocation
- Unsupervised Learning
- Emotion Recognition
- Smart Cities
- Communications
- Audio-Visual Speech Recognition
- Intelligent Reflecting Surfaces
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 Learning110▲ 7.7×62 topics
- Neural Networks43▲ 6.6×23 topics
- Machine Learning33▲ 2.4×39 topics
- Energy Efficiency29▲ 7.4×9 topics
- Convolutional Neural Networks27▲ 8.7×10 topics
- Wireless Networks20▲ 32×8 topics
- 5G Networks19▲ 22×5 topics
- Massive MIMO19▲ 55×3 topics
- Internet of Things18▲ 4.9×15 topics
- Security16▲ 5.8×16 topics
- Spectral Efficiency16▲ 58×2 topics
- Channel Estimation15▲ 42×4 topics
- Feature Extraction14▲ 7.5×7 topics
- Beamforming14▲ 32×4 topics
- IoT Security14▲ 10×3 topics
- Healthcare14▲ 2.9×7 topics
- Wireless Communication13▲ 21×5 topics
- MIMO Systems13▲ 38×2 topics
- Heterogeneous Networks12▲ 31×2 topics
- 5G12▲ 50×3 topics
- Cellular Networks12▲ 57×1 topic
- Channel Modeling12▲ 23×6 topics
- Convolutional Networks12▲ 20×3 topics
- Interference Alignment12▲ 57×1 topic
- Anomaly Detection11▲ 9.0×4 topics
- Distributed Systems10▲ 15×6 topics
- Resource Allocation10▲ 13×8 topics
- Security and Privacy9▲ 11×3 topics
- Unsupervised Learning9▲ 15×3 topics
- Image Processing9▲ 4.7×6 topics
- Emotion Recognition8▲ 10×3 topics
- Mobile Edge Computing8▲ 12×2 topics
- Smart Cities8▲ 7.2×3 topics
- Edge Computing8▲ 14×2 topics
- Communications7▲ 53×2 topics
- Deep Neural Networks7▲ 16×3 topics
- Audio-Visual Speech Recognition7▲ 31×1 topic
- Speech Enhancement7▲ 31×1 topic
- Intelligent Reflecting Surfaces7▲ 42×1 topic
- Non-Orthogonal Multiple Access7▲ 42×1 topic
Which research topics does Samsung (India) publish most on?
By volume in 2022–2025: Advanced MIMO Systems Optimization, Speech and Audio Processing, Advanced Wireless Communication Technologies and IoT and Edge/Fog Computing.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Advanced MIMO Systems Optimization Electrical and Electronic Engineering 12 works
- 2 Speech and Audio Processing Signal Processing 7 works
- 3 Advanced Wireless Communication Technologies Electrical and Electronic Engineering 7 works
- 4 IoT and Edge/Fog Computing Computer Networks and Communications 7 works
- 5 Speech Recognition and Synthesis Artificial Intelligence 6 works
- 6 Millimeter-Wave Propagation and Modeling Electrical and Electronic Engineering 6 works
- 7 Telecommunications and Broadcasting Technologies Media Technology 6 works
- 8 Music and Audio Processing Signal Processing 6 works
- 9 Software-Defined Networks and 5G Computer Networks and Communications 5 works
- 10 Advanced Neural Network Applications Computer Vision and Pattern Recognition 5 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 Samsung (India)'s research output changed?
Output in 2018–2022 was 34% 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.