Jamie M. Taylor
Jamie M. Taylor publishes mostly in Statistical and Nonlinear Physics, Electronic, Optical and Magnetic Materials and Computational Mechanics, on topics such as Model Reduction and Neural Networks, Liquid Crystal Research Advancements and Material Dynamics and Properties.
- World rank
- #2,242,751 of 7,710,434 ranked researchers
- Rank in Spain
- #48,600 of 204,306
- Works
- 52
- Citations
- 214
- Citations per work
- 4.1
What does Jamie M. Taylor research?
Jamie M. Taylor's work is mostly in Physics and Astronomy (22%), Engineering (16%), Materials Science (15%).
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 Sciences3159.4%
- Physics and Astronomy1122.1%
- Engineering815.9%
- Materials Science815.2%
- Computer Science36.2%
- Everything else2140.6%
- 1Statistical and Nonlinear Physics22% of their works
- 2Electronic, Optical and Magnetic Materials9% of their works
- 3Computational Mechanics9% of their works
- 4Mechanical Engineering7% of their works
- 5Materials Chemistry6% of their works
- 6Artificial Intelligence6% of their works
Research topics
- Model Reduction and Neural Networks
- Liquid Crystal Research Advancements
- Material Dynamics and Properties
- Advanced Numerical Methods in Computational Mathematics
- Neural Networks and Applications
- Advanced Numerical Analysis Techniques
- Numerical methods for differential equations
- Advanced Thermodynamics and Statistical Mechanics
Which keywords describe Jamie M. Taylor's research?
The keywords of their largest research topics: Deep Learning, Model Reduction, Partial Differential Equations, Fluid-Structure Interaction, Liquid Crystals, Self-Organization, Glass Transition and Supercooled Liquids.
- Stochastic Thermodynamics
- Numerical Integration
- NURBS
- Finite Elements
- Finite Element Methods
- Supercooled Liquids
- Self-Organization
- Fluid-Structure Interaction
- Model Reduction
- Deep Learning
- Partial Differential Equations
- Liquid Crystals
- Glass Transition
- Discontinuous Galerkin Methods
- Differential Equations
- Fluctuation Theorems
- Neural Networks
- Self-Organizing Maps
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 Learning302 topics
- Model Reduction251 topic
- Partial Differential Equations251 topic
- Fluid-Structure Interaction122 topics
- Liquid Crystals91 topic
- Self-Organization91 topic
- Glass Transition81 topic
- Supercooled Liquids81 topic
- Discontinuous Galerkin Methods71 topic
- Finite Element Methods71 topic
- Differential Equations51 topic
- Finite Elements51 topic
- Fluctuation Theorems51 topic
- NURBS51 topic
- Neural Networks51 topic
- Numerical Integration51 topic
- Self-Organizing Maps51 topic
- Stochastic Thermodynamics51 topic
Where does Jamie M. Taylor work?
Jamie M. Taylor's main affiliation in the publication record is Basque Center for Applied Mathematics, Spain.
How many publications and citations does Jamie M. Taylor have?
OpenAlex counts 52 works and 214 citations for Jamie M. Taylor, an h-index of 9, ranking #2,242,751 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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