Juan Peypouquet
Juan Peypouquet publishes mostly in Computational Theory and Mathematics, Mathematical Physics and Numerical Analysis, on topics such as Optimization and Variational Analysis, Numerical methods in inverse problems and Sparse and Compressive Sensing Techniques.
- World rank
- #414,207 of 7,710,434 ranked researchers
- Rank in Chile
- #535 of 20,642
- Works
- 73
- Citations
- 2.1k
- Citations per work
- 28.2
What does Juan Peypouquet research?
Juan Peypouquet's work is mostly in Computer Science (35%), Mathematics (32%), 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 Sciences6183.9%
- Computer Science2635.1%
- Mathematics2432.2%
- Engineering1216.6%
- Everything else1216.1%
- 1Computational Theory and Mathematics35% of their works
- 2Mathematical Physics15% of their works
- 3Numerical Analysis13% of their works
- 4Computational Mechanics13% of their works
- 5Applied Mathematics4% of their works
- 6Control and Systems Engineering4% of their works
Research topics
- Optimization and Variational Analysis
- Numerical methods in inverse problems
- Sparse and Compressive Sensing Techniques
- Advanced Optimization Algorithms Research
- Advanced Mathematical Modeling in Engineering
- Stochastic Gradient Optimization Techniques
- Matrix Theory and Algorithms
- Contact Mechanics and Variational Inequalities
Which keywords describe Juan Peypouquet's research?
The keywords of their largest research topics: Convex Optimization, Variational Inequalities, Iterative Algorithms, Nonlinear Operators, Inverse Problems, Regularization Methods, Compressed Sensing and Optimization Software.
- Matrix Computations
- Contact
- Random Projections
- Heterogeneous
- Sparse Representation
- Optimization Software
- Regularization Methods
- Nonlinear Operators
- Variational Inequalities
- Convex Optimization
- Iterative Algorithms
- Inverse Problems
- Compressed Sensing
- Semidefinite Programming
- Finite Element
- Multiscale Methods
- Stochastic Gradient Descent
- Friction
- Numerical Linear Algebra
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 Optimization533 topics
- Variational Inequalities522 topics
- Iterative Algorithms461 topic
- Nonlinear Operators461 topic
- Inverse Problems251 topic
- Regularization Methods251 topic
- Compressed Sensing231 topic
- Optimization Software231 topic
- Semidefinite Programming231 topic
- Sparse Representation231 topic
- Finite Element182 topics
- Heterogeneous121 topic
- Multiscale Methods121 topic
- Random Projections71 topic
- Stochastic Gradient Descent71 topic
- Contact61 topic
- Friction61 topic
- Matrix Computations61 topic
- Numerical Linear Algebra61 topic
Where does Juan Peypouquet work?
Juan Peypouquet's main affiliation in the publication record is Federico Santa María Technical University, Chile.
How many publications and citations does Juan Peypouquet have?
OpenAlex counts 73 works and 2,056 citations for Juan Peypouquet, an h-index of 20, ranking #414,207 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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