James E. Smith
James E. Smith publishes mostly in Hardware and Architecture, Computer Networks and Communications and Artificial Intelligence, on topics such as Parallel Computing and Optimization Techniques, Advanced Data Storage Technologies and Distributed and Parallel Computing Systems.
- World rank
- #148,122 of 7,710,434 ranked researchers
- Rank in United States
- #55,900 of 1,627,098
- Works
- 956
- Citations
- 28k
- Citations per work
- 29.6
What does James E. Smith research?
James E. Smith's work is mostly in Computer Science (32%), Engineering (12%), Agricultural and Biological Sciences (6%).
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
- Everything else47649.8%
- Physical Sciences42244.1%
- Computer Science30932.3%
- Engineering11311.8%
- Life Sciences586.1%
- 1Hardware and Architecture12% of their works
- 2Computer Networks and Communications11% of their works
- 3Artificial Intelligence9% of their works
- 4Electrical and Electronic Engineering7% of their works
- 5Plant Science6% of their works
- 6Aerospace Engineering5% of their works
Research topics
- Parallel Computing and Optimization Techniques
- Advanced Data Storage Technologies
- Distributed and Parallel Computing Systems
- Evolutionary Algorithms and Applications
- Embedded Systems Design Techniques
- Cloud Computing and Resource Management
- Distributed systems and fault tolerance
- Metaheuristic Optimization Algorithms Research
Which keywords describe James E. Smith's research?
The keywords of their largest research topics: Parallel Computing, High-Performance Computing, GPU Computing, Performance Optimization, Distributed Systems, Resource Management, Evolutionary Algorithms and Distributed Storage.
- Differential Evolution
- Consistency
- Big Data
- High-Level Synthesis
- Genetic Programming
- Grid Computing
- Distributed Storage
- Resource Management
- Performance Optimization
- High-Performance Computing
- Parallel Computing
- GPU Computing
- Distributed Systems
- Evolutionary Algorithms
- Network Coding
- Task Scheduling
- Machine Learning
- Reconfigurable Computing
- Cloud Computing
- Fault Tolerance
- Particle Swarm Optimization
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 21 words, with their numbers
- Parallel Computing2682 topics
- High-Performance Computing2552 topics
- GPU Computing1951 topic
- Performance Optimization1951 topic
- Distributed Systems1623 topics
- Resource Management1122 topics
- Evolutionary Algorithms1042 topics
- Distributed Storage731 topic
- Network Coding731 topic
- Grid Computing601 topic
- Task Scheduling601 topic
- Genetic Programming591 topic
- Machine Learning591 topic
- High-Level Synthesis581 topic
- Reconfigurable Computing581 topic
- Big Data521 topic
- Cloud Computing521 topic
- Consistency501 topic
- Fault Tolerance501 topic
- Differential Evolution451 topic
- Particle Swarm Optimization451 topic
Where does James E. Smith work?
James E. Smith's main affiliation in the publication record is University of Wisconsin–Madison, United States.
How many publications and citations does James E. Smith have?
OpenAlex counts 956 works and 28,278 citations for James E. Smith, an h-index of 72, ranking #148,122 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.
Other researchers named James E. Smith
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