Joel R. Phillips
Joel R. Phillips publishes mostly in Electrical and Electronic Engineering, Statistical and Nonlinear Physics and Atomic and Molecular Physics, and Optics, on topics such as Model Reduction and Neural Networks, Electromagnetic Simulation and Numerical Methods and Low-power high-performance VLSI design.
- World rank
- #787,799 of 7,710,434 ranked researchers
- Rank in United States
- #263,318 of 1,627,098
- Works
- 137
- Citations
- 4.8k
- Citations per work
- 35.3
What does Joel R. Phillips research?
Joel R. Phillips's work is mostly in Engineering (44%), Physics and Astronomy (17%), Computer Science (5%).
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 Sciences9066.0%
- Engineering6044.0%
- Physics and Astronomy2317.0%
- Computer Science75.0%
- Everything else4734.0%
- 1Electrical and Electronic Engineering34% of their works
- 2Statistical and Nonlinear Physics10% of their works
- 3Atomic and Molecular Physics, and Optics7% of their works
- 4Control and Systems Engineering6% of their works
- 5Hardware and Architecture5% of their works
- 6Computational Mechanics5% of their works
Research topics
- Model Reduction and Neural Networks
- Electromagnetic Simulation and Numerical Methods
- Low-power high-performance VLSI design
- VLSI and FPGA Design Techniques
- Electromagnetic Scattering and Analysis
- Probabilistic and Robust Engineering Design
- Numerical methods for differential equations
- VLSI and Analog Circuit Testing
Which keywords describe Joel R. Phillips's research?
The keywords of their largest research topics: Maxwell's Equations, Deep Learning, Partial Differential Equations, Electromagnetics, Finite-Difference Time-Domain, Low-Power, VLSI Circuits and ASIC.
- Embedded Cores
- Differential Equations
- Sensitivity Analysis
- FPGA
- ASIC
- Low-Power
- Electromagnetics
- Deep Learning
- Maxwell's Equations
- Partial Differential Equations
- Finite-Difference Time-Domain
- VLSI Circuits
- Electromagnetic Scattering
- Integral Equation Methods
- Uncertainty Quantification
- Numerical Integration
- Test Data Compression
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 17 words, with their numbers
- Maxwell's Equations452 topics
- Deep Learning361 topic
- Partial Differential Equations361 topic
- Electromagnetics281 topic
- Finite-Difference Time-Domain281 topic
- Low-Power241 topic
- VLSI Circuits241 topic
- ASIC171 topic
- Electromagnetic Scattering171 topic
- FPGA171 topic
- Integral Equation Methods171 topic
- Sensitivity Analysis171 topic
- Uncertainty Quantification171 topic
- Differential Equations161 topic
- Numerical Integration161 topic
- Embedded Cores141 topic
- Test Data Compression141 topic
Where does Joel R. Phillips work?
Joel R. Phillips's main affiliation in the publication record is Cadence Design Systems (United States), United States.
How many publications and citations does Joel R. Phillips have?
OpenAlex counts 137 works and 4,832 citations for Joel R. Phillips, an h-index of 31, ranking #787,799 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.
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