Nicholas I. M. Gould
Nicholas I. M. Gould publishes mostly in Numerical Analysis, Computational Theory and Mathematics and Computational Mechanics, on topics such as Advanced Optimization Algorithms Research, Matrix Theory and Algorithms and Sparse and Compressive Sensing Techniques.
- World rank
- #126,860 of 7,710,434 ranked researchers
- Rank in United Kingdom
- #11,358 of 367,258
- Works
- 198
- Citations
- 13k
- Citations per work
- 63.4
What does Nicholas I. M. Gould research?
Nicholas I. M. Gould's work is mostly in Computer Science (31%), Mathematics (30%), Engineering (17%).
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 Sciences15679.0%
- Computer Science6231.1%
- Mathematics5829.5%
- Engineering3316.8%
- Physics and Astronomy31.6%
- Everything else4221.0%
- 1Numerical Analysis30% of their works
- 2Computational Theory and Mathematics24% of their works
- 3Computational Mechanics11% of their works
- 4Artificial Intelligence7% of their works
- 5Control and Systems Engineering6% of their works
- 6Atomic and Molecular Physics, and Optics2% of their works
Research topics
- Advanced Optimization Algorithms Research
- Matrix Theory and Algorithms
- Sparse and Compressive Sensing Techniques
- Optimization and Variational Analysis
- Stochastic Gradient Optimization Techniques
- Advanced Control Systems Optimization
- Numerical Methods and Algorithms
- Iterative Methods for Nonlinear Equations
Which keywords describe Nicholas I. M. Gould's research?
The keywords of their largest research topics: Convex Optimization, Optimization Software, Semidefinite Programming, Iterative Methods, Matrix Computations, Numerical Linear Algebra, Optimization and Compressed Sensing.
- Interval Analysis
- Convergence Analysis
- Model Predictive Control
- Random Projections
- Iterative Algorithms
- Compressed Sensing
- Numerical Linear Algebra
- Iterative Methods
- Optimization Software
- Convex Optimization
- Semidefinite Programming
- Matrix Computations
- Optimization
- Sparse Representation
- Nonlinear Operators
- Stochastic Gradient Descent
- Nonlinear Systems
- Floating-Point Arithmetic
- Newton's Method
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 19 words, with their numbers
- Convex Optimization2153 topics
- Optimization Software1401 topic
- Semidefinite Programming1401 topic
- Iterative Methods812 topics
- Matrix Computations661 topic
- Numerical Linear Algebra661 topic
- Optimization562 topics
- Compressed Sensing451 topic
- Sparse Representation451 topic
- Iterative Algorithms311 topic
- Nonlinear Operators311 topic
- Random Projections301 topic
- Stochastic Gradient Descent301 topic
- Model Predictive Control251 topic
- Nonlinear Systems251 topic
- Convergence Analysis151 topic
- Floating-Point Arithmetic151 topic
- Interval Analysis151 topic
- Newton's Method151 topic
Where does Nicholas I. M. Gould work?
Nicholas I. M. Gould's main affiliation in the publication record is Rutherford Appleton Laboratory, United Kingdom.
How many publications and citations does Nicholas I. M. Gould have?
OpenAlex counts 198 works and 12,552 citations for Nicholas I. M. Gould, an h-index of 48, ranking #126,860 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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