IBM (United States)
In research, IBM (United States) stands highest in Physical Sciences (#797 of 12,888 worldwide), Computer Science (#335 of 4,667 worldwide) and Artificial Intelligence (#167 of 1,884 worldwide), 2022–2025. Relative to its size it is most specialised in Hardware and Architecture, Artificial Intelligence and Computer Science — Hardware and Architecture is 22.1× its share of world research.
- World rank, 2022–2025
- #1,366 of 28,054 · #121 all time
- Rank in United States
- #223 of 4,192
- Research works
- 35k ▼ 39% vs 2013–17
- Citations
- 1.4M 39.7 per fractional work
- Top-10% rate
- 22.3% record average 16.5%
- Open access
- 13% world 28%
What is IBM (United States) 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 |
|---|---|---|---|---|---|
| Physical SciencesDomain | #797 of 12,888 | 23.9% | 664 | #69 | |
| Computer ScienceField | #335 of 4,667 | 28.9% | 369 | #14 | |
| Artificial IntelligenceSubfield | #167 of 1,884 | 33.6% | 185 | #20 | |
| EngineeringField | #1,519 of 6,636 | 13.6% | 191 | #107 | |
| Electrical and Electronic EngineeringSubfield | #872 of 2,318 | 11.9% | 123 | #33 | |
| Health SciencesDomain | #6,739 of 11,982 | 17.9% | 64 | — | |
| Social SciencesDomain | #6,515 of 10,521 | 15.4% | 98 | #729 |
Each strip is that field’s whole ranked pool, with the notch where IBM (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 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.
- Physical Sciences#69 #797
- Computer Science#14 #335
- Artificial Intelligence#20 #167
- Engineering#107 #1,519
- Electrical and Electronic Engineering#33 #872
- Social Sciences#729 #6,515
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
What does IBM (United States) specialise in?
Where its research is concentrated relative to its size: Hardware and Architecture takes 22.1× the share of its output that it takes of world research.
- Hardware and ArchitectureSubfield · 21.4 works22×
- Artificial IntelligenceSubfield · 185.3 works8.9×
- Computer ScienceField · 369.4 works5.5×
- Atomic and Molecular Physics, and OpticsSubfield · 33.7 works5.4×
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, 5.5×. Every wedge is a field page.
- Computer Science 5.5×
- Physics and Astronomy 2.3×
- Decision Sciences 1.9×
- Engineering 1.5×
- Mathematics 1.1×
- Materials Science 1.0×
- Business, Management and Accounting 0.9×
- Neuroscience 0.8×
- Economics, Econometrics and Finance 0.5×
- Health Professions 0.5×
- Biochemistry, Genetics and Molecular Biology 0.4×
- Psychology 0.4×
- Energy 0.4×
- Dentistry 0.4×
- Medicine 0.3×
- Social Sciences 0.3×
- Veterinary 0.3×
- Environmental Science 0.2×
- Chemistry 0.2×
- Earth and Planetary Sciences 0.2×
- Pharmacology, Toxicology and Pharmaceutics 0.1×
- Immunology and Microbiology 0.1×
- Arts and Humanities 0.1×
- Nursing 0.1×
- Chemical Engineering 0.1×
- Agricultural and Biological Sciences 0.1×
Who are the top researchers at IBM (United States)?
Ranked on the composite score, Brian Kingsbury, J. Rissanen and Salim Roukos lead among researchers whose main affiliation is IBM (United States).
- 1 Brian Kingsbury United States · #2,729 worldwide 2.6k citations · 70 works
- 2 J. Rissanen United States · #3,435 worldwide 2.4k citations · 66 works
- 3 Salim Roukos United States · #6,760 worldwide 5.6k citations · 53 works
- 4 Hugo Krawczyk United States · #6,928 worldwide 1.8k citations · 55 works
- 5 Shai Halevi United States · #7,118 worldwide 1.6k citations · 71 works
- 6 Rosario Gennaro United States · #9,230 worldwide 940 citations · 55 works
- 7 Yu Zhu United States · #12,457 worldwide 1.1k citations · 52 works
- 8 David P. DiVincenzo United States · #14,829 worldwide 1.1k citations · 78 works
- 9 Richard G. Brewer United States · #16,305 worldwide 570 citations · 56 works
- 10 D.L. Harame United States · #16,375 worldwide 696 citations · 78 works
Which keywords describe research at IBM (United States)?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Machine Learning, Big Data, Security, Entanglement, Quantum Information and Distributed Systems.
- Meta-Learning
- High-Performance Computing
- Tunnel Field-Effect Transistors
- Nanowire Transistors
- Spintronics
- Information Retrieval
- Neuromorphic Computing
- Integrated Circuits
- Deep Neural Networks
- High-k Dielectrics
- Cloud Computing
- Nanoelectronics
- Communication
- Measurement
- Quantum Computation
- Quantum Simulation
- Distributed Systems
- Entanglement
- Big Data
- Machine Learning
- Deep Learning
- Neural Networks
- Security
- Quantum Information
- Healthcare
- Quantum Algorithms
- Cryptography
- Computation
- Metrology
- Quantum
- Atomic Layer Deposition
- Fault Localization
- Process Variation
- Resource Management
- Parallel Computing
- Representation Learning
- Virtualization
- Thin Films
- Text Classification
- Semi-Supervised Learning
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▲ 3.7×66 topics
- Machine Learning91▲ 3.2×67 topics
- Neural Networks75▲ 5.6×29 topics
- Big Data50▲ 6.4×15 topics
- Security42▲ 7.5×14 topics
- Entanglement29▲ 22×4 topics
- Quantum Information28▲ 28×3 topics
- Distributed Systems27▲ 19×6 topics
- Healthcare26▲ 2.6×14 topics
- Quantum Simulation25▲ 36×2 topics
- Quantum Algorithms24▲ 53×1 topic
- Quantum Computation24▲ 53×1 topic
- Cryptography21▲ 20×3 topics
- Measurement21▲ 29×2 topics
- Computation21▲ 34×2 topics
- Communication21▲ 8.0×3 topics
- Metrology21▲ 41×1 topic
- Nanoelectronics21▲ 27×2 topics
- Quantum21▲ 30×1 topic
- Cloud Computing20▲ 8.2×7 topics
- Atomic Layer Deposition19▲ 32×1 topic
- High-k Dielectrics19▲ 32×1 topic
- Fault Localization19▲ 32×2 topics
- Deep Neural Networks18▲ 20×3 topics
- Process Variation18▲ 36×2 topics
- Integrated Circuits18▲ 13×3 topics
- Resource Management17▲ 11×3 topics
- Neuromorphic Computing16▲ 16×2 topics
- Parallel Computing16▲ 16×4 topics
- Information Retrieval16▲ 8.7×5 topics
- Representation Learning16▲ 13×3 topics
- Spintronics16▲ 14×3 topics
- Virtualization15▲ 22×3 topics
- Nanowire Transistors15▲ 45×1 topic
- Thin Films15▲ 9.2×6 topics
- Tunnel Field-Effect Transistors15▲ 45×1 topic
- Text Classification15▲ 11×3 topics
- High-Performance Computing14▲ 20×2 topics
- Semi-Supervised Learning14▲ 15×3 topics
- Meta-Learning14▲ 20×2 topics
Which research topics does IBM (United States) publish most on?
By volume in 2022–2025: Quantum Computing Algorithms and Architecture, Quantum Information and Cryptography, Semiconductor materials and devices and Advancements in Semiconductor Devices and Circuit Design.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Quantum Computing Algorithms and Architecture Artificial Intelligence 24 works
- 2 Quantum Information and Cryptography Artificial Intelligence 21 works
- 3 Semiconductor materials and devices Electrical and Electronic Engineering 19 works
- 4 Advancements in Semiconductor Devices and Circuit Design Electrical and Electronic Engineering 15 works
- 5 Natural Language Processing Techniques Artificial Intelligence 13 works
- 6 Topic Modeling Artificial Intelligence 13 works
- 7 Cloud Computing and Resource Management Information Systems 13 works
- 8 Integrated Circuits and Semiconductor Failure Analysis Electrical and Electronic Engineering 12 works
- 9 Quantum and electron transport phenomena Atomic and Molecular Physics, and Optics 12 works
- 10 Big Data and Business Intelligence Management Information Systems 11 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 IBM (United States)'s research output changed?
Output in 2018–2022 was 39% lower 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 Armonk
- Underground Systems (United States)
- Advanced Network and Services (United States)
- Swiss Re (United States)
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.