D. Leviatan

1.7k citations
129 papers · 1.1k · h-index 16

Impact in

Papers in

D. Leviatan

116 papers receiving 936 citations

Peers

D. Leviatan
Comparison fields: 5 of 63
  • Numerical Analysis 512
  • Statistics and Probability 532
  • Applied Mathematics 435
  • Mathematical Physics 176
  • Statistics, Probability and Uncertainty 87
Replace G. Mastroianni with:
G. Mastroianni Italy
Günter Meinardus Germany
Manfred V. Golitschek Germany
G.W. Wasilkowski United States
Tino Ullrich Germany
Rolf Joachim Nessel Germany
Ðinh Dũng Vietnam
Vu Kim Tuan United States
Yuly Makovoz United States
Günther Nürnberger Germany
D. Leviatan relative to G. Mastroianni Italy G. Mastroianni's profile →
Citations per field
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G. Mastroianni · 1×
Citations per year

Countries citing papers authored by D. Leviatan

Since Specialization
Citations

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

Fields of papers citing papers by D. Leviatan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside D. Leviatan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with D. Leviatan Line = papers co-authored together D. Leviatan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 129 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013171
2 199343
3 200640
4 198639
5 200436
6 197034
7 199229
8 197627
9 198326
10 200526
11 198825
12 198222
13 200218
14 199418
15 199717
16 200417
17 199416
18 200316
19 200016
20 199314

About D. Leviatan

D. Leviatan is a scholar working on Numerical Analysis, Statistics and Probability, Applied Mathematics, Mathematical Physics and Computational Mechanics, having authored 129 papers that have together received 1.1k indexed citations. Recurring topics across this work include Approximation Theory and Sequence Spaces (81 papers), Mathematical Approximation and Integration (50 papers), Mathematical functions and polynomials (41 papers), Iterative Methods for Nonlinear Equations (35 papers), Advanced Numerical Analysis Techniques (21 papers), Mathematical Analysis and Transform Methods (11 papers), Advanced Banach Space Theory (11 papers) and Image and Signal Denoising Methods (10 papers). The work is most often cited by research in Numerical Analysis (512 citations), Statistics and Probability (532 citations), Applied Mathematics (435 citations), Mathematical Physics (176 citations) and Statistics, Probability and Uncertainty (87 citations). D. Leviatan has collaborated with scholars based in Israel, Ukraine and United States. Frequent co-authors include I. A. Shevchuk, Albert Cohen, Mark A. Davenport, Shai Dekel, Vladimir Nikolaevich Temlyakov, Ronald DeVore, Kirill A. Kopotun, A. Jakimovski, Rick K. Beatson and Depeng Jiang. Their work appears in journals such as Journal of Approximation Theory, Constructive Approximation, Proceedings of the American Mathematical Society, Israel Journal of Mathematics and Advances in Computational Mathematics.

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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