Shai Dekel

703 total citations
36 papers, 382 citations indexed

About

Shai Dekel is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition and Applied Mathematics. According to data from OpenAlex, Shai Dekel has authored 36 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computational Mechanics, 12 papers in Computer Vision and Pattern Recognition and 12 papers in Applied Mathematics. Recurrent topics in Shai Dekel's work include Image and Signal Denoising Methods (10 papers), Mathematical Analysis and Transform Methods (9 papers) and Advanced Harmonic Analysis Research (8 papers). Shai Dekel is often cited by papers focused on Image and Signal Denoising Methods (10 papers), Mathematical Analysis and Transform Methods (9 papers) and Advanced Harmonic Analysis Research (8 papers). Shai Dekel collaborates with scholars based in Israel, United States and Spain. Shai Dekel's co-authors include D. Leviatan, Amir Averbuch, Pencho Petrushev, Arie Feuer, Eli Turkel, George Kyriazis, Wolfgang Dahmen, Dan Givoli, Nira Dyn and Gérard Kerkyacharian and has published in prestigious journals such as Journal of Computational Physics, IEEE Transactions on Image Processing and IEEE Transactions on Signal Processing.

In The Last Decade

Shai Dekel

36 papers receiving 359 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Shai Dekel Israel	13	133	117	102	73	55	36	382
Martin Ehler Austria	15	84 0.6×	201 1.7×	246 2.4×	22 0.3×	61 1.1×	50	526
Fritz Keinert United States	8	39 0.3×	56 0.5×	148 1.5×	28 0.4×	45 0.8×	20	320
Alessandro Buccini Italy	10	149 1.1×	50 0.4×	88 0.9×	184 2.5×	67 1.2×	42	324
Emmanuel Soubies France	9	180 1.4×	17 0.1×	75 0.7×	46 0.6×	132 2.4×	30	368
Hartmut Führ Germany	14	35 0.3×	348 3.0×	233 2.3×	144 2.0×	47 0.9×	52	561
Andreas Weinmann Germany	12	170 1.3×	22 0.2×	209 2.0×	40 0.5×	137 2.5×	55	513
Minru Bai China	14	243 1.8×	38 0.3×	192 1.9×	16 0.2×	15 0.3×	32	485
Caroline Chaux France	7	222 1.7×	14 0.1×	181 1.8×	64 0.9×	77 1.4×	13	354
Pouya D. Tafti Switzerland	9	86 0.6×	39 0.3×	106 1.0×	20 0.3×	39 0.7×	17	245
Tuomo Valkonen Finland	9	196 1.5×	32 0.3×	170 1.7×	115 1.6×	35 0.6×	39	413

Countries citing papers authored by Shai Dekel

Since Specialization

Citations

This map shows the geographic impact of Shai Dekel'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 Shai Dekel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shai Dekel more than expected).

Fields of papers citing papers by Shai Dekel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shai Dekel. 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 Shai Dekel. The network helps show where Shai Dekel may publish in the future.

Co-authorship network of co-authors of Shai Dekel

This figure shows the co-authorship network connecting the top 25 collaborators of Shai Dekel. A scholar is included among the top collaborators of Shai Dekel 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 Shai Dekel. Shai Dekel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Dekel, Shai, et al.. (2023). Numerical Methods for Pdes Over Manifolds Using Spectral Physics Informed Neural Networks. SSRN Electronic Journal. 1 indexed citations

Turkel, Eli, et al.. (2022). A physically-informed deep-learning model using time-reversal for locating a source from sparse and highly noisy sensors data. Journal of Computational Physics. 470. 111592–111592. 7 indexed citations

Dekel, Shai, et al.. (2022). PR-DAD: Phase Retrieval Using Deep Auto-Decoders. 165–172. 2 indexed citations

Turkel, Eli, et al.. (2020). Obstacle segmentation based on the wave equation and deep learning. Journal of Computational Physics. 413. 109458–109458. 21 indexed citations

Dekel, Shai, et al.. (2016). Wavelet decompositions of Random Forests: smoothness analysis, sparse approximation and applications. Journal of Machine Learning Research. 17(1). 6952–6989. 5 indexed citations

Bar‐Zion, Avinoam, et al.. (2016). Stable Support Recovery of Stream of Pulses With Application to Ultrasound Imaging. IEEE Transactions on Signal Processing. 64(14). 3750–3759. 13 indexed citations

Dekel, Shai, et al.. (2014). Exact recovery of non-uniform splines from the projection onto spaces of algebraic polynomials. Journal of Approximation Theory. 182. 7–17. 7 indexed citations

Binenbaum, Yoav, et al.. (2014). Computer-aided diagnostics in digital pathology: automated evaluation of early-phase pancreatic cancer in mice. International Journal of Computer Assisted Radiology and Surgery. 10(7). 1043–1054. 13 indexed citations

Dekel, Shai, et al.. (2014). Exact Recovery of Dirac Ensembles from the Projection Onto Spaces of Spherical Harmonics. Constructive Approximation. 42(2). 183–207. 15 indexed citations

10.

Barkan, Oren, et al.. (2013). Adaptive Compressed Tomography Sensing. 2195–2202. 10 indexed citations

11.

Dekel, Shai. (2012). On the analysis of anisotropic smoothness. Journal of Approximation Theory. 164(8). 1143–1164. 2 indexed citations

12.

Dekel, Shai, et al.. (2012). On dual spaces of anisotropic Hardy spaces. Mathematische Nachrichten. 285(17-18). 2078–2092. 5 indexed citations

13.

Dekel, Shai. (2009). On the equivalence of the modulus of smoothness and the K-functional over convex domains. Journal of Approximation Theory. 162(2). 349–362. 3 indexed citations

14.

Dahmen, Wolfgang, Shai Dekel, & Pencho Petrushev. (2009). Two-Level-Split Decomposition of Anisotropic Besov Spaces. Constructive Approximation. 31(2). 149–194. 12 indexed citations

15.

Dekel, Shai, et al.. (2009). Anisotropic Meshless Frames on ℝ n. Journal of Fourier Analysis and Applications. 15(5). 634–662. 15 indexed citations

16.

Dekel, Shai, et al.. (2007). Low Bit-Rate Image Coding Using Adaptive Geometric Piecewise Polynomial Approximation. IEEE Transactions on Image Processing. 16(9). 2225–2233. 10 indexed citations

17.

Dahmen, Wolfgang, Shai Dekel, & Pencho Petrushev. (2007). Multilevel preconditioning for partition of unity methods: some analytic concepts. Numerische Mathematik. 107(3). 503–532. 10 indexed citations

18.

Averbuch, Amir, et al.. (2006). Image Coding With Geometric Wavelets. IEEE Transactions on Image Processing. 16(1). 69–77. 13 indexed citations

19.

Dekel, Shai, D. Leviatan, & Micha Sharir. (2003). On Bivariate Smoothness Spaces Associated with Nonlinear Approximation. Constructive Approximation. 20(4). 625–646. 9 indexed citations

20.

Dekel, Shai & Nira Dyn. (2002). Poly-scale refinability and subdivision. Applied and Computational Harmonic Analysis. 13(1). 35–62. 7 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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