Microsoft Research (India)
In research, Microsoft Research (India) stands highest in Computer Science (#1,020 of 4,667 worldwide) and Physical Sciences (#6,019 of 12,888 worldwide), 2022–2025. Relative to its size it is most specialised in Artificial Intelligence and Computer Science — Artificial Intelligence is 12.8× its share of world research.
- World rank, 2022–2025
- #10,495 of 28,054 · #4,998 all time
- Rank in India
- #746 of 1,840
- Research works
- 908 ▲ 8% vs 2013–17
- Citations
- 42k 46.0 per fractional work
- Top-10% rate
- 25.7% record average 16.5%
- Open access
- 35% world 28%
What is Microsoft Research (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 | #1,020 of 4,667 | 25.5% | 96 | #402 | |
| Physical SciencesDomain | #6,019 of 12,888 | 25.4% | 109 | #3205 |
Each strip is that field’s whole ranked pool, with the notch where Microsoft Research (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).
What does Microsoft Research (India) specialise in?
Where its research is concentrated relative to its size: Artificial Intelligence takes 12.8× the share of its output that it takes of world research.
- Artificial IntelligenceSubfield · 47.4 works13×
- Computer ScienceField · 95.6 works8.0×
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, 8.0×. Every wedge is a field page.
- Computer Science 8.0×
- Decision Sciences 2.2×
- Business, Management and Accounting 1.0×
- Economics, Econometrics and Finance 1.0×
- Neuroscience 0.9×
- Social Sciences 0.8×
- Nursing 0.7×
- Physics and Astronomy 0.6×
- Health Professions 0.6×
- Psychology 0.6×
- Engineering 0.5×
- Mathematics 0.3×
- Arts and Humanities 0.2×
- Biochemistry, Genetics and Molecular Biology 0.2×
- Medicine 0.2×
- Agricultural and Biological Sciences 0.2×
- Environmental Science 0.1×
- Chemistry 0.1×
- Energy 0.1×
- Materials Science 0.0×
Who are the top researchers at Microsoft Research (India)?
Ranked on the composite score, Kentaro Toyama, Aditya V. Nori and G. Ramalingam lead among researchers whose main affiliation is Microsoft Research (India).
- 1 Kentaro Toyama India · #49,553 worldwide 534 citations · 65 works
- 2 Aditya V. Nori India · #78,398 worldwide 290 citations · 28 works
- 3 G. Ramalingam India · #104,269 worldwide 187 citations · 25 works
- 4 William Thies India · #139,832 worldwide 241 citations · 25 works
- 5 Andrew Birrell India · #192,734 worldwide 286 citations · 20 works
- 6 Manik Varma India · #288,740 worldwide 447 citations · 15 works
- 7 Vipul Goyal India · #296,177 worldwide 261 citations · 59 works
- 8 Kapil Vaswani India · #303,397 worldwide 111 citations · 16 works
- 9 Jacki O’Neill India · #346,997 worldwide 132 citations · 20 works
- 10 Monojit Choudhury India · #471,206 worldwide 161 citations · 72 works
Which keywords describe research at Microsoft Research (India)?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Machine Learning, Information Retrieval, Text Classification, Neural Machine Translation, Statistical Machine Translation and Machine Translation.
- Performance Prediction
- Adversarial Examples
- Refactoring
- GPU Computing
- Automated Testing
- Natural Language Processing
- Surveillance
- Rural Communities
- Meta-Learning
- Community Health Workers
- Semi-Supervised Learning
- IoT Security
- Security
- Classification
- Distributed Systems
- Word Representation
- Statistical Machine Translation
- Social Media
- Information Retrieval
- Machine Learning
- Deep Learning
- Neural Networks
- Text Classification
- Neural Machine Translation
- Machine Translation
- Anomaly Detection
- Big Data
- Data Mining
- Deep Neural Networks
- Parallel Computing
- Feature Selection
- High-Performance Computing
- Mobile Technology
- Representation Learning
- Virtualization
- Hyperparameter Optimization
- Code Clone Detection
- Performance Optimization
- Software Fault Localization
- Log Analysis
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 Learning25▲ 4.8×49 topics
- Machine Learning20▲ 4.1×37 topics
- Neural Networks20▲ 8.5×20 topics
- Information Retrieval10▲ 28×4 topics
- Text Classification8▲ 34×2 topics
- Social Media7▲ 3.3×12 topics
- Neural Machine Translation7▲ 48×1 topic
- Statistical Machine Translation7▲ 48×1 topic
- Machine Translation7▲ 26×1 topic
- Word Representation7▲ 36×1 topic
- Anomaly Detection6▲ 12×4 topics
- Distributed Systems6▲ 22×5 topics
- Big Data4▲ 3.2×11 topics
- Classification4▲ 6.4×7 topics
- Data Mining4▲ 3.7×6 topics
- Security4▲ 4.0×8 topics
- Deep Neural Networks4▲ 23×3 topics
- IoT Security4▲ 7.6×3 topics
- Parallel Computing4▲ 19×2 topics
- Semi-Supervised Learning3▲ 20×3 topics
- Feature Selection3▲ 9.8×3 topics
- Community Health Workers3▲ 24×2 topics
- High-Performance Computing3▲ 25×2 topics
- Meta-Learning3▲ 25×2 topics
- Mobile Technology3▲ 141×1 topic
- Rural Communities3▲ 38×1 topic
- Representation Learning3▲ 14×3 topics
- Surveillance3▲ 7.0×3 topics
- Virtualization3▲ 24×2 topics
- Natural Language Processing3▲ 7.7×3 topics
- Hyperparameter Optimization2▲ 39×2 topics
- Automated Testing2▲ 62×1 topic
- Code Clone Detection2▲ 40×1 topic
- GPU Computing2▲ 42×1 topic
- Performance Optimization2▲ 25×1 topic
- Refactoring2▲ 40×1 topic
- Software Fault Localization2▲ 62×1 topic
- Adversarial Examples2▲ 30×1 topic
- Log Analysis2▲ 40×1 topic
- Performance Prediction2▲ 23×1 topic
Which research topics does Microsoft Research (India) publish most on?
By volume in 2022–2025: Natural Language Processing Techniques, Topic Modeling, ICT in Developing Communities and Parallel Computing and Optimization Techniques.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Natural Language Processing Techniques Artificial Intelligence 7 works
- 2 Topic Modeling Artificial Intelligence 7 works
- 3 ICT in Developing Communities Information Systems 3 works
- 4 Parallel Computing and Optimization Techniques Hardware and Architecture 2 works
- 5 Software Testing and Debugging Techniques Software 2 works
- 6 Software Engineering Research Information Systems 2 works
- 7 Software System Performance and Reliability Computer Networks and Communications 2 works
- 8 Adversarial Robustness in Machine Learning Artificial Intelligence 2 works
- 9 Privacy-Preserving Technologies in Data Artificial Intelligence 2 works
- 10 Multimodal Machine Learning Applications Computer Vision and Pattern Recognition 2 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 Microsoft Research (India)'s research output changed?
Output in 2018–2022 was 8% 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.