James Demmel
James Demmel publishes mostly in Computational Theory and Mathematics, Computer Networks and Communications and Hardware and Architecture, on topics such as Matrix Theory and Algorithms, Parallel Computing and Optimization Techniques and Interconnection Networks and Systems.
- World rank
- #13,182 of 1,633,909 ranked researchers
- Rank in United States
- #6,355 of 358,040
- Works
- 136
- Citations
- 1.3k
- Citations per work
- 9.8
What does James Demmel research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Computational Theory and Mathematics19% of their works
- 2Computer Networks and Communications13% of their works
- 3Hardware and Architecture11% of their works
- 4Artificial Intelligence10% of their works
- 5Computer Vision and Pattern Recognition7% of their works
- 6Numerical Analysis7% of their works
Research topics
- Matrix Theory and Algorithms
- Parallel Computing and Optimization Techniques
- Interconnection Networks and Systems
- Advanced Optimization Algorithms Research
- Stochastic Gradient Optimization Techniques
- Sparse and Compressive Sensing Techniques
- Distributed and Parallel Computing Systems
- Tensor decomposition and applications
Which keywords describe James Demmel's research?
The keywords of their largest research topics: Parallel Computing, Convex Optimization, High-Performance Computing, Matrix Computations, Numerical Linear Algebra, GPU Computing, Performance Optimization and Interconnection Networks.
- Multilinear Algebra
- Distributed Systems
- Sparse Representation
- Compressed Sensing
- Optimization Software
- Interconnection Networks
- GPU Computing
- Matrix Computations
- Convex Optimization
- Parallel Computing
- High-Performance Computing
- Numerical Linear Algebra
- Performance Optimization
- Networks on Chip
- Semidefinite Programming
- Random Projections
- Stochastic Gradient Descent
- Grid Computing
- Tensor Decomposition
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.
All 19 words, with their numbers
- Parallel Computing352 topics
- Convex Optimization213 topics
- High-Performance Computing212 topics
- Matrix Computations191 topic
- Numerical Linear Algebra191 topic
- GPU Computing161 topic
- Performance Optimization161 topic
- Interconnection Networks91 topic
- Networks on Chip91 topic
- Optimization Software91 topic
- Semidefinite Programming91 topic
- Compressed Sensing61 topic
- Random Projections61 topic
- Sparse Representation61 topic
- Stochastic Gradient Descent61 topic
- Distributed Systems51 topic
- Grid Computing51 topic
- Multilinear Algebra51 topic
- Tensor Decomposition51 topic
Where does James Demmel work?
James Demmel's main affiliation in the publication record is University of California, Berkeley, United States.
How many publications and citations does James Demmel have?
Science Explorer counts 136 works and 1,338 citations for James Demmel, ranking #13,182 of 1,633,909 researchers worldwide on the composite score.
Ranked on field-normalised 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 are in the interactive view on the map. Is this your page? Request a correction or removal.