Ben Keller
Ben Keller publishes mostly in Electrical and Electronic Engineering, Hardware and Architecture and Computer Vision and Pattern Recognition, on topics such as Low-power high-performance VLSI design, Advanced Neural Network Applications and Parallel Computing and Optimization Techniques.
- World rank
- #804,265 of 7,710,434 ranked researchers
- Rank in United States
- #268,219 of 1,627,098
- Works
- 43
- Citations
- 1.5k
- Citations per work
- 35.5
What does Ben Keller research?
Ben Keller's work is mostly in Engineering (54%), Computer Science (32%).
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 Sciences3785.9%
- Engineering2353.7%
- Computer Science1432.2%
- Everything else614.1%
- 1Electrical and Electronic Engineering47% of their works
- 2Hardware and Architecture16% of their works
- 3Computer Vision and Pattern Recognition10% of their works
- 4Biomedical Engineering7% of their works
- 5Artificial Intelligence4% of their works
- 6Computer Networks and Communications2% of their works
Research topics
- Low-power high-performance VLSI design
- Advanced Neural Network Applications
- Parallel Computing and Optimization Techniques
- Advanced Memory and Neural Computing
- VLSI and Analog Circuit Testing
- Analog and Mixed-Signal Circuit Design
- Advancements in Semiconductor Devices and Circuit Design
- VLSI and FPGA Design Techniques
Which keywords describe Ben Keller's research?
The keywords of their largest research topics: Low-Power, Process Variation, Approximate Computing, VLSI Circuits, Convolutional Neural Networks, Deep Learning, Parallel Computing and Performance Optimization.
- Tunnel Field-Effect Transistors
- Nanowire Transistors
- CMOS
- Test Data Compression
- Neuromorphic Computing
- Performance Optimization
- Deep Learning
- VLSI Circuits
- Process Variation
- Low-Power
- Approximate Computing
- Convolutional Neural Networks
- Parallel Computing
- Memristor
- Embedded Cores
- ASIC
- FPGA
- Neural Recording
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
- Low-Power242 topics
- Process Variation242 topics
- Approximate Computing181 topic
- VLSI Circuits181 topic
- Convolutional Neural Networks91 topic
- Deep Learning91 topic
- Parallel Computing91 topic
- Performance Optimization91 topic
- Memristor81 topic
- Neuromorphic Computing81 topic
- Embedded Cores71 topic
- Test Data Compression71 topic
- ASIC61 topic
- CMOS61 topic
- FPGA61 topic
- Nanowire Transistors61 topic
- Neural Recording61 topic
- Tunnel Field-Effect Transistors61 topic
Where does Ben Keller work?
Ben Keller's main affiliation in the publication record is Nvidia (United States), United States.
How many publications and citations does Ben Keller have?
OpenAlex counts 43 works and 1,527 citations for Ben Keller, an h-index of 17, ranking #804,265 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 Ben Keller
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