Josep Torrellas
Josep Torrellas publishes mostly in Computer Networks and Communications, Hardware and Architecture and Electrical and Electronic Engineering, on topics such as Parallel Computing and Optimization Techniques, Advanced Data Storage Technologies and Distributed systems and fault tolerance.
- World rank
- #72,942 of 7,710,434 ranked researchers
- Rank in United States
- #28,145 of 1,627,098
- Works
- 652
- Citations
- 14k
- Citations per work
- 21.8
What does Josep Torrellas research?
Josep Torrellas's work is mostly in Computer Science (73%), Engineering (12%).
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 Sciences55284.7%
- Computer Science47372.6%
- Engineering7912.1%
- Everything else10015.3%
- 1Computer Networks and Communications32% of their works
- 2Hardware and Architecture28% of their works
- 3Electrical and Electronic Engineering12% of their works
- 4Artificial Intelligence6% of their works
- 5Information Systems4% of their works
- 6Computer Vision and Pattern Recognition2% of their works
Research topics
- Parallel Computing and Optimization Techniques
- Advanced Data Storage Technologies
- Distributed systems and fault tolerance
- Interconnection Networks and Systems
- Distributed and Parallel Computing Systems
- Embedded Systems Design Techniques
- Cloud Computing and Resource Management
- Low-power high-performance VLSI design
Which keywords describe Josep Torrellas's research?
The keywords of their largest research topics: Parallel Computing, High-Performance Computing, GPU Computing, Performance Optimization, Distributed Systems, Fault Tolerance, Distributed Storage and Network Coding.
- VLSI Circuits
- Cloud Computing
- Reconfigurable Computing
- Task Scheduling
- Energy Efficiency
- Interconnection Networks
- Consistency
- Network Coding
- Fault Tolerance
- Performance Optimization
- High-Performance Computing
- Parallel Computing
- GPU Computing
- Distributed Systems
- Distributed Storage
- Resource Management
- Transactional Memory
- Networks on Chip
- Grid Computing
- High-Level Synthesis
- 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 Computing4992 topics
- High-Performance Computing4242 topics
- GPU Computing3521 topic
- Performance Optimization3521 topic
- Distributed Systems2553 topics
- Fault Tolerance2412 topics
- Distributed Storage1471 topic
- Network Coding1471 topic
- Resource Management1312 topics
- Consistency1241 topic
- Transactional Memory1241 topic
- Interconnection Networks1171 topic
- Networks on Chip1171 topic
- Energy Efficiency1052 topics
- Grid Computing721 topic
- Task Scheduling721 topic
- High-Level Synthesis641 topic
- Reconfigurable Computing641 topic
- Big Data591 topic
- Cloud Computing591 topic
- Low-Power461 topic
- VLSI Circuits461 topic
Where does Josep Torrellas work?
Josep Torrellas's main affiliation in the publication record is University of Illinois Urbana-Champaign, United States.
How many publications and citations does Josep Torrellas have?
OpenAlex counts 652 works and 14,241 citations for Josep Torrellas, an h-index of 64, ranking #72,942 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.
Discussion
Ask a question or share a note about Josep Torrellas. Keep it to the research: no personal attacks, advertising or links. Any reader can report a post, which collapses it for everyone until it is opened.