D. Leviatan

1.7k citations
126 papers · 1.0k · h-index 16

Impact in

Papers in

D. Leviatan

113 papers receiving 853 citations

Peers

D. Leviatan
Comparison fields: 5 of 61
  • Numerical Analysis 479
  • Statistics and Probability 510
  • Applied Mathematics 403
  • Mathematical Physics 161
  • Computational Theory and Mathematics 161
Replace G. Mastroianni with:
G. Mastroianni Italy
Günter Meinardus Germany
G.W. Wasilkowski United States
Rolf Joachim Nessel Germany
Manfred V. Golitschek Germany
Alain Pajor France
Tino Ullrich Germany
Oved Shisha United States
Eli Passow United States
J. Szabados Hungary
D. Leviatan relative to G. Mastroianni Italy G. Mastroianni's profile →
Citations per field
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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 126 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013135
2 200640
3 198638
4 199336
5 197034
6 199228
7 200428
8 197627
9 198825
10 198325
11 198222
12 200521
13 200218
14 199418
15 199716
16 199416
17 200015
18 199914
19 199314
20 200314

About D. Leviatan

D. Leviatan is a scholar working on Statistics and Probability, Numerical Analysis, Applied Mathematics, Computational Mechanics and Mathematical Physics, having authored 126 papers that have together received 1.0k indexed citations. Recurring topics across this work include Approximation Theory and Sequence Spaces (79 papers), Mathematical Approximation and Integration (48 papers), Mathematical functions and polynomials (39 papers), Iterative Methods for Nonlinear Equations (35 papers), Advanced Numerical Analysis Techniques (21 papers), Mathematical Analysis and Transform Methods (12 papers), Image and Signal Denoising Methods (10 papers) and Advanced Banach Space Theory (10 papers). The work is most often cited by research in Numerical Analysis (479 citations), Statistics and Probability (510 citations), Applied Mathematics (403 citations), Mathematical Physics (161 citations) and Computational Theory and Mathematics (161 citations). D. Leviatan has collaborated with scholars based in Israel, Ukraine and United States. Frequent co-authors include I. A. Shevchuk, Mark A. Davenport, Albert Cohen, Shai Dekel, Vladimir Temlyakov, Kirill A. Kopotun, Ronald DeVore, A. Jakimovski, R. K. Beatson and Z. Ditzian. 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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