Ronald A. DeVore

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name Citations Publications World Ranking National Ranking

Mathematics D-index 65 Citations 23,161 197 World Ranking 268 National Ranking 152

Research.com Recognitions

Awards & Achievements

2018 - SIAM Fellow For his fundamental contributions to the mathematical foundations of information and computational sciences.

2017 - Member of the National Academy of Sciences

2013 - Fellow of the American Mathematical Society

2001 - Fellow of the American Academy of Arts and Sciences

Overview

What is he best known for?

The fields of study Ronald A. DeVore is best known for:

Lossy compression
Trigonometry
Hyperbolic function

Ronald A. DeVore incorporates Artificial intelligence and Theoretical computer science in his studies. He carries out multidisciplinary research, doing studies in Theoretical computer science and Algorithm. Much of his study explores Algorithm relationship to Quantization (signal processing). Ronald A. DeVore integrates Quantization (signal processing) with Data compression in his research. Ronald A. DeVore connects Data compression with Lossy compression in his research. He frequently studies issues relating to Artificial intelligence and Lossy compression. He performs multidisciplinary study in the fields of Mathematical analysis and Piecewise via his papers. He conducted interdisciplinary study in his works that combined Piecewise and Mathematical analysis. In his research, Ronald A. DeVore undertakes multidisciplinary study on Wavelet transform and Multiresolution analysis.

His most cited work include:

Image compression through wavelet transform coding (833 citations)
Data compression and harmonic analysis (386 citations)
Hyperbolic Wavelet Approximation (131 citations)

What are the main themes of his work throughout his whole career to date

His Mathematical analysis study in the realm of Smoothness interacts with subjects such as Combinatorics. As part of his studies on Mathematical analysis, he often connects relevant subjects like Trigonometry. Ronald A. DeVore integrates Combinatorics with Geometry in his study. He combines Geometry and Regular polygon in his research. He combines topics linked to Interpolation (computer graphics) with his work on Artificial intelligence. His work on Artificial intelligence expands to the thematically related Interpolation (computer graphics). His study in Numerical approximation extends to Numerical analysis with its themes. Numerical approximation is closely attributed to Numerical analysis in his research. He integrates many fields, such as Applied mathematics and Pure mathematics, in his works.

Ronald A. DeVore most often published in these fields:

Mathematical analysis (87.50%)
Artificial intelligence (43.75%)
Combinatorics (37.50%)

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