Ronald DeVore

22.2k total citations · 6 hit papers
163 papers, 13.0k citations indexed

About

Ronald DeVore is a scholar working on Computational Mechanics, Applied Mathematics and Numerical Analysis. According to data from OpenAlex, Ronald DeVore has authored 163 papers receiving a total of 13.0k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Computational Mechanics, 51 papers in Applied Mathematics and 38 papers in Numerical Analysis. Recurrent topics in Ronald DeVore's work include Image and Signal Denoising Methods (34 papers), Mathematical Analysis and Transform Methods (32 papers) and Mathematical Approximation and Integration (30 papers). Ronald DeVore is often cited by papers focused on Image and Signal Denoising Methods (34 papers), Mathematical Analysis and Transform Methods (32 papers) and Mathematical Approximation and Integration (30 papers). Ronald DeVore collaborates with scholars based in United States, France and Germany. Ronald DeVore's co-authors include George G. Lorentz, Albert Cohen, Wolfgang Dahmen, Richard G. Baraniuk, Michael B. Wakin, Mark A. Davenport, Vladimir Temlyakov, Bradley J. Lucier, Björn Jawerth and Ingrid Daubechies and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and IEEE Transactions on Information Theory.

In The Last Decade

Ronald DeVore

161 papers receiving 11.7k citations

Hit Papers

Constructive Approximation 1992 2026 2003 2014 1993 2008 2009 1992 2008 500 1000 1.5k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ronald DeVore 5.5k 3.9k 3.7k 2.0k 1.6k 163 13.0k
Gilbert Strang 5.0k 0.9× 3.8k 1.0× 2.0k 0.5× 2.0k 1.0× 1.8k 1.1× 185 18.6k
Charles A. Micchelli 3.7k 0.7× 2.3k 0.6× 1.6k 0.4× 1.2k 0.6× 638 0.4× 214 8.6k
Ronald R. Coifman 1.9k 0.3× 4.8k 1.2× 7.1k 1.9× 546 0.3× 1.9k 1.1× 196 21.1k
Marc Teboulle 6.8k 1.2× 3.6k 0.9× 386 0.1× 3.3k 1.6× 998 0.6× 95 14.9k
Amir Beck 6.1k 1.1× 3.6k 0.9× 325 0.1× 2.0k 1.0× 1.2k 0.7× 83 14.3k
Larry L. Schumaker 5.9k 1.1× 1.6k 0.4× 1.1k 0.3× 1.6k 0.8× 375 0.2× 192 9.3k
Michael K. Ng 5.1k 0.9× 7.9k 2.0× 626 0.2× 2.1k 1.1× 1.2k 0.8× 661 20.3k
Brian D. O. Anderson 2.6k 0.5× 1.8k 0.5× 722 0.2× 2.0k 1.0× 2.1k 1.3× 1.0k 39.5k
T. Kailath 7.4k 1.3× 3.0k 0.8× 1.8k 0.5× 1.5k 0.7× 17.5k 10.6× 571 40.5k
Vladimir Rokhlin 2.9k 0.5× 1.5k 0.4× 1.1k 0.3× 839 0.4× 584 0.4× 127 16.2k

Countries citing papers authored by Ronald DeVore

Since Specialization
Citations

This map shows the geographic impact of Ronald DeVore's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ronald DeVore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ronald DeVore more than expected).

Fields of papers citing papers by Ronald DeVore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ronald DeVore. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ronald DeVore. The network helps show where Ronald DeVore may publish in the future.

Co-authorship network of co-authors of Ronald DeVore

This figure shows the co-authorship network connecting the top 25 collaborators of Ronald DeVore. A scholar is included among the top collaborators of Ronald DeVore based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ronald DeVore. Ronald DeVore is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
DeVore, Ronald, et al.. (2025). Convergence and error control of consistent PINNs for elliptic PDEs. IMA Journal of Numerical Analysis. 46(1). 90–148.
2.
DeVore, Ronald, et al.. (2024). Weighted variation spaces and approximation by shallow ReLU networks. Applied and Computational Harmonic Analysis. 74. 101713–101713. 1 indexed citations
3.
Cohen, Albert, Wolfgang Dahmen, Ronald DeVore, & Angela Kunoth. (2018). Multiscale and High-Dimensional Problems. Oberwolfach Reports. 14(1). 1001–1051. 1 indexed citations
4.
Cohen, Albert, Wolfgang Dahmen, Ronald DeVore, & Angela Kunoth. (2014). Multiscale and High-Dimensional Problems. Oberwolfach Reports. 10(3). 2179–2257. 1 indexed citations
5.
Belochitski, Alexei, Peter Binev, Ronald DeVore, et al.. (2011). Tree approximation of the long wave radiation parameterization in the NCAR CAM global climate model. Journal of Computational and Applied Mathematics. 236(4). 447–460. 21 indexed citations
6.
DeVore, Ronald & Angela Kunoth. (2009). Multiscale, Nonlinear and Adaptive Approximation: Dedicated to Wolfgang Dahmen on the Occasion of his 60th Birthday. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 659–659. 11 indexed citations
7.
Cohen, Albert, Wolfgang Dahmen, & Ronald DeVore. (2008). Compressed sensing and best 𝑘-term approximation. Journal of the American Mathematical Society. 22(1). 211–231. 535 indexed citations breakdown →
8.
Binev, Peter, Wolfgang Dahmen, Ronald DeVore, & Pencho Petrushev. (2002). Approximation Classes for Adaptive Methods. RWTH Publications (RWTH Aachen). 28(4). 391–416. 42 indexed citations
9.
Cohen, Albert, Wolfgang Dahmen, & Ronald DeVore. (2002). Adaptive Wavelet Methods II—Beyond the Elliptic Case. Foundations of Computational Mathematics. 2(3). 203–202. 148 indexed citations
10.
DeVore, Ronald & Guergana Petrova. (2000). The averaging lemma. Journal of the American Mathematical Society. 14(2). 279–296. 28 indexed citations
11.
DeVore, Ronald, et al.. (2000). Optimal Entropy Encoders For Mining MultiplyResolved Data. WIT transactions on information and communication technologies. 25. 3 indexed citations
12.
Donoho, David L., Martin Vetterli, Ronald DeVore, & Ingrid Daubechies. (2000). Data compression and harmonic analysis (invited paper). IEEE Press eBooks. 391–432. 1 indexed citations
13.
Choy, H., Wallace Akerley, & Ronald DeVore. (1998). Paclitaxel, carboplatin and radiation therapy for non-small-cell lung cancer.. PubMed. 12(1 Suppl 2). 80–6. 7 indexed citations
14.
DeVore, Ronald. (1994). Adaptive wavelet bases for image compression. 197–219. 5 indexed citations
15.
DeVore, Ronald, et al.. (1990). Degree of Adaptive Approximation. Mathematics of Computation. 55(192). 625–625. 5 indexed citations
16.
DeVore, Ronald, et al.. (1990). Degree of adaptive approximation. Mathematics of Computation. 55(192). 625–635. 30 indexed citations
17.
DeVore, Ronald & В. А. Попов. (1988). Interpolation of Besov spaces. Transactions of the American Mathematical Society. 305(1). 397–414. 188 indexed citations
18.
DeVore, Ronald. (1986). Approximation by rational functions. Proceedings of the American Mathematical Society. 98(4). 601–604. 5 indexed citations
19.
DeVore, Ronald, et al.. (1984). Error Estimates for Gaussian Quadrature and Weighted-L1 Polynomial Approximation.. SIAM Journal on Mathematical Analysis. 21(2). 400. 6 indexed citations
20.
Boor, Carl de & Ronald DeVore. (1983). Approximation by Smooth Multivariate Splines. Transactions of the American Mathematical Society. 276(2). 775–775. 19 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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