Yale N. Patt
Yale N. Patt publishes mostly in Hardware and Architecture, Computer Networks and Communications and Electrical and Electronic Engineering, on topics such as Parallel Computing and Optimization Techniques, Advanced Data Storage Technologies and Distributed and Parallel Computing Systems.
- World rank
- #59,629 of 7,710,434 ranked researchers
- Rank in United States
- #22,972 of 1,627,098
- Works
- 379
- Citations
- 16k
- Citations per work
- 43.2
What does Yale N. Patt research?
Yale N. Patt's work is mostly in Computer Science (77%), Engineering (11%).
Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.
The fields and subfields, with their numbers
- Physical Sciences33588.4%
- Computer Science29377.2%
- Engineering4211.2%
- Everything else4411.6%
- 1Hardware and Architecture32% of their works
- 2Computer Networks and Communications31% of their works
- 3Electrical and Electronic Engineering11% of their works
- 4Artificial Intelligence6% of their works
- 5Information Systems5% of their works
- 6Computational Theory and Mathematics2% of their works
Research topics
- Parallel Computing and Optimization Techniques
- Advanced Data Storage Technologies
- Distributed and Parallel Computing Systems
- Interconnection Networks and Systems
- Embedded Systems Design Techniques
- Distributed systems and fault tolerance
- Cloud Computing and Resource Management
- Low-power high-performance VLSI design
Which keywords describe Yale N. Patt's research?
The keywords of their largest research topics: Parallel Computing, High-Performance Computing, GPU Computing, Performance Optimization, Distributed Systems, Distributed Storage, Network Coding and Resource Management.
- VLSI Circuits
- Cloud Computing
- Transactional Memory
- Reconfigurable Computing
- Networks on Chip
- Task Scheduling
- Energy Efficiency
- Resource Management
- Distributed Storage
- Performance Optimization
- High-Performance Computing
- Parallel Computing
- GPU Computing
- Distributed Systems
- Network Coding
- Fault Tolerance
- Grid Computing
- Interconnection Networks
- High-Level Synthesis
- Consistency
- Big Data
- Low-Power
Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.
All 22 words, with their numbers
- Parallel Computing4152 topics
- High-Performance Computing3402 topics
- GPU Computing2731 topic
- Performance Optimization2731 topic
- Distributed Systems1533 topics
- Distributed Storage1421 topic
- Network Coding1421 topic
- Resource Management1072 topics
- Fault Tolerance992 topics
- Energy Efficiency712 topics
- Grid Computing671 topic
- Task Scheduling671 topic
- Interconnection Networks531 topic
- Networks on Chip531 topic
- High-Level Synthesis511 topic
- Reconfigurable Computing511 topic
- Consistency461 topic
- Transactional Memory461 topic
- Big Data401 topic
- Cloud Computing401 topic
- Low-Power311 topic
- VLSI Circuits311 topic
Where does Yale N. Patt work?
Yale N. Patt's main affiliation in the publication record is The University of Texas at Austin, United States.
How many publications and citations does Yale N. Patt have?
OpenAlex counts 379 works and 16,375 citations for Yale N. Patt, an h-index of 68, ranking #59,629 of 7,710,434 researchers worldwide on the quality score.
Ranked on field-normalised citation excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.
Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.
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