Kurt Keutzer
Kurt Keutzer publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Hardware and Architecture, on topics such as Advanced Neural Network Applications, Parallel Computing and Optimization Techniques and Low-power high-performance VLSI design.
- World rank
- #10,279 of 7,710,434 ranked researchers
- Rank in United States
- #3,542 of 1,627,098
- Works
- 615
- Citations
- 39k
- Citations per work
- 64.1
What does Kurt Keutzer research?
Kurt Keutzer's work is mostly in Computer Science (66%), Engineering (16%).
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 Sciences50281.6%
- Computer Science40365.6%
- Engineering9816.0%
- Everything else11318.4%
- 1Artificial Intelligence21% of their works
- 2Computer Vision and Pattern Recognition19% of their works
- 3Hardware and Architecture17% of their works
- 4Electrical and Electronic Engineering16% of their works
- 5Computer Networks and Communications6% of their works
- 6Computational Theory and Mathematics3% of their works
Research topics
Which keywords describe Kurt Keutzer's research?
The keywords of their largest research topics: Deep Learning, FPGA, Convolutional Neural Networks, Image Recognition, Parallel Computing, Performance Optimization, Low-Power and VLSI Circuits.
- Visual Question Answering
- Placement
- Reconfigurable Computing
- Transfer Learning
- Test Data Compression
- VLSI Circuits
- Performance Optimization
- Image Recognition
- FPGA
- Deep Learning
- Convolutional Neural Networks
- Parallel Computing
- Low-Power
- Embedded Cores
- Domain Adaptation
- High-Level Synthesis
- ASIC
- Image Captioning
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 18 words, with their numbers
- Deep Learning1792 topics
- FPGA1342 topics
- Convolutional Neural Networks1271 topic
- Image Recognition1271 topic
- Parallel Computing921 topic
- Performance Optimization921 topic
- Low-Power901 topic
- VLSI Circuits901 topic
- Embedded Cores881 topic
- Test Data Compression881 topic
- Domain Adaptation821 topic
- Transfer Learning821 topic
- High-Level Synthesis791 topic
- Reconfigurable Computing791 topic
- ASIC551 topic
- Placement551 topic
- Image Captioning521 topic
- Visual Question Answering521 topic
Where does Kurt Keutzer work?
Kurt Keutzer's main affiliation in the publication record is University of California, Berkeley, United States.
How many publications and citations does Kurt Keutzer have?
OpenAlex counts 615 works and 39,448 citations for Kurt Keutzer, an h-index of 85, ranking #10,279 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
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