Everett H. Phillips
Everett H. Phillips publishes mostly in Computational Mechanics, Hardware and Architecture and Computer Networks and Communications, on topics such as Parallel Computing and Optimization Techniques, Advanced Data Storage Technologies and Meteorological Phenomena and Simulations.
- World rank
- #1,210,425 of 7,710,434 ranked researchers
- Rank in United States
- #387,982 of 1,627,098
- Works
- 20
- Citations
- 1.4k
- Citations per work
- 71.9
What does Everett H. Phillips research?
Everett H. Phillips's work is mostly in Computer Science (46%), Engineering (17%), Earth and Planetary Sciences (7%).
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 Sciences1470.4%
- Computer Science946.3%
- Engineering316.7%
- Earth and Planetary Sciences17.4%
- Everything else629.6%
- 1Computational Mechanics17% of their works
- 2Hardware and Architecture15% of their works
- 3Computer Networks and Communications15% of their works
- 4Computer Vision and Pattern Recognition9% of their works
- 5Atmospheric Science7% of their works
- 6Artificial Intelligence7% of their works
Research topics
- Parallel Computing and Optimization Techniques
- Advanced Data Storage Technologies
- Meteorological Phenomena and Simulations
- Computational Fluid Dynamics and Aerodynamics
- Solar Radiation and Photovoltaics
- Advanced Neural Network Applications
- Cloud Computing and Resource Management
- Fluid Dynamics and Turbulent Flows
Which keywords describe Everett H. Phillips's research?
The keywords of their largest research topics: Parallel Computing, GPU Computing, Performance Optimization, Distributed Storage, Network Coding, Data Assimilation, Ensemble Kalman Filter and High-Order Schemes.
- Turbulent Flows
- Forecasting
- Convolutional Neural Networks
- Big Data
- High-Order Schemes
- Data Assimilation
- Distributed Storage
- GPU Computing
- Parallel Computing
- Performance Optimization
- Network Coding
- Ensemble Kalman Filter
- Turbulence Modeling
- Cloud Computing
- Deep Learning
- Solar Radiation
- Vortex Dynamics
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
- Parallel Computing132 topics
- GPU Computing81 topic
- Performance Optimization81 topic
- Distributed Storage51 topic
- Network Coding51 topic
- Data Assimilation41 topic
- Ensemble Kalman Filter41 topic
- High-Order Schemes31 topic
- Turbulence Modeling31 topic
- Big Data21 topic
- Cloud Computing21 topic
- Convolutional Neural Networks21 topic
- Deep Learning21 topic
- Forecasting21 topic
- Solar Radiation21 topic
- Turbulent Flows21 topic
- Vortex Dynamics21 topic
Where does Everett H. Phillips work?
Everett H. Phillips's main affiliation in the publication record is Nvidia (United States), United States.
How many publications and citations does Everett H. Phillips have?
OpenAlex counts 20 works and 1,438 citations for Everett H. Phillips, an h-index of 12, ranking #1,210,425 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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