IBM Research - Austin
In research, IBM Research - Austin stands highest in Computer Science (#355 of 7,020 worldwide), Engineering (#1,541 of 11,412 worldwide) and Physical Sciences (#2,928 of 21,541 worldwide), over all time.
- World rank, all time
- #4,635 of 42,892
- Rank in United States
- #1,099 of 8,685
- Research works
- 1.1k ▼ 49% vs 2013–17
- Citations
- 33k 30.9 per fractional work
- Top-10% rate
- 23.1% record average 16.5%
- Open access
- 7% world 28%
What is IBM Research - Austin known for in research?
The fields where it stands highest, over all time, ranked among every institution above the floor in each field.
| Field | World rank | Where that sits | Top-10% rate | Works |
|---|---|---|---|---|
| Computer ScienceField | #355 of 7,020 | 36.0% | 447 | |
| EngineeringField | #1,541 of 11,412 | 29.5% | 491 | |
| Physical SciencesDomain | #2,928 of 21,541 | 31.9% | 987 | |
| Electrical and Electronic EngineeringSubfield | #705 of 4,248 | 31.8% | 397 | |
| Hardware and ArchitectureSubfield | #72 of 357 | 36.5% | 171 | |
| Computer Networks and CommunicationsSubfield | #739 of 1,873 | 35.5% | 128 |
Each strip is that field’s whole ranked pool, with the notch where IBM Research - Austin 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).
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×
- Decision Sciences 2.9×
- Engineering 2.2×
- Materials Science 1.6×
- Business, Management and Accounting 1.2×
- Economics, Econometrics and Finance 0.8×
- Environmental Science 0.5×
- Social Sciences 0.4×
- Chemistry 0.3×
- Physics and Astronomy 0.3×
- Energy 0.2×
- Mathematics 0.2×
- Earth and Planetary Sciences 0.2×
- Health Professions 0.1×
- Medicine 0.1×
Who are the top researchers at IBM Research - Austin?
Ranked on the composite score, Sani Nassif, Charles J. Alpert and Kanak Agarwal lead among researchers whose main affiliation is IBM Research - Austin.
- 1 Sani Nassif United States · #11,892 worldwide 693 citations · 65 works
- 2 Charles J. Alpert United States · #12,435 worldwide 746 citations · 59 works
- 3 Kanak Agarwal United States · #98,768 worldwide 257 citations · 31 works
- 4 Gi-Joon Nam United States · #99,202 worldwide 250 citations · 34 works
- 5 Kevin Nowka United States · #234,291 worldwide 156 citations · 28 works
- 6 Frank Liu United States · #241,583 worldwide 211 citations · 45 works
- 7 Anirudh Devgan United States · #309,969 worldwide 229 citations · 15 works
- 8 Karthick Rajamani United States · #366,578 worldwide 113 citations · 20 works
- 9 Derek Williams United States · #426,689 worldwide 104 citations · 15 works
- 10 M. Cases United States · #597,389 worldwide 75 citations · 30 works
Which keywords describe research at IBM Research - Austin?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Internet of Things, Distributed Systems, Cloud Computing, Fault Localization, Nanofabrication, Big Data and High-Resolution Patterning.
- Ontology
- Artificial Intelligence
- Parallel Computing
- Electron Beam Lithography
- Thermal Management
- Energy Efficiency
- Neural Networks
- Nanofabrication
- Cloud Computing
- Distributed Systems
- Machine Learning
- Deep Learning
- Internet of Things
- Big Data
- Fault Localization
- High-Resolution Patterning
- Security
- IoT Security
- Anomaly Detection
- Healthcare
- Resolution Limits
- High-Performance Computing
- Semantic Web
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 23 words are chosen for being large and distinctive. Each links to the topic it comes from most.
All 23 words, with their numbers
- Deep Learning3▲ 3.1×13 topics
- Machine Learning2▲ 2.1×12 topics
- Internet of Things2▲ 7.2×5 topics
- Distributed Systems2▲ 36×4 topics
- Big Data2▲ 5.8×4 topics
- Cloud Computing2▲ 19×4 topics
- Fault Localization2▲ 76×2 topics
- Nanofabrication2▲ 83×2 topics
- High-Resolution Patterning1▲ 221×2 topics
- Neural Networks1▲ 2.9×8 topics
- Security1▲ 6.8×5 topics
- Energy Efficiency1▲ 4.2×3 topics
- IoT Security1▲ 12×3 topics
- Thermal Management1▲ 12×3 topics
- Anomaly Detection1▲ 13×3 topics
- Electron Beam Lithography1▲ 363×1 topic
- Healthcare1▲ 3.1×2 topics
- Parallel Computing1▲ 32×3 topics
- Resolution Limits1▲ 363×1 topic
- Artificial Intelligence1▲ 2.5×5 topics
- High-Performance Computing1▲ 41×2 topics
- Ontology1▲ 41×1 topic
- Semantic Web1▲ 36×1 topic
Which research topics does IBM Research - Austin publish most on?
By volume in 2022–2025: Advancements in Photolithography Techniques, Semantic Web and Ontologies, Integrated Circuits and Semiconductor Failure Analysis and Embedded Systems Design Techniques.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Advancements in Photolithography Techniques Electrical and Electronic Engineering 1 works
- 2 Semantic Web and Ontologies Artificial Intelligence 1 works
- 3 Integrated Circuits and Semiconductor Failure Analysis Electrical and Electronic Engineering 1 works
- 4 Embedded Systems Design Techniques Hardware and Architecture 1 works
- 5 Parallel Computing and Optimization Techniques Hardware and Architecture 1 works
- 6 Software System Performance and Reliability Computer Networks and Communications 1 works
- 7 3D IC and TSV technologies Electrical and Electronic Engineering 1 works
- 8 IoT and Edge/Fog Computing Computer Networks and Communications 1 works
- 9 Cloud Computing and Resource Management Information Systems 1 works
- 10 Electromagnetic Compatibility and Noise Suppression Electrical and Electronic Engineering 1 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 Research - Austin's research output changed?
Output in 2018–2022 was 49% 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 Austin
- The University of Texas at Austin
- Perfect Harmony Health
- Oracle (United States)
- Dynamic Systems (United States)
- The University of Texas System
- Office of the Attorney General
- Silicon Labs (United States)
- Texas Department of Transportation
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.