D. Leviatan
- Statistics and Probability top 0.5%
- Numerical Analysis top 1%
- Applied Mathematics top 1%
- Computational Mechanics top 5%
- Mathematical Physics top 5%
- Co-authors
- I. A. ShevchukAlbert CohenMark A. DavenportShai DekelVladimir TemlyakovKirill A. KopotunRonald DeVoreR. K. Beatson
- Topics
- Approximation Theory and Sequence Spaces (79 papers)Mathematical Approximation and Integration (48 papers)Mathematical functions and polynomials (39 papers)
- Journals
- SHILAP Revista de lepidopterologíaSIAM Journal on Numerical AnalysisJournal of Mathematical Analysis and Applications
- Partner nations
- IsraelUkraineUnited States
In The Last Decade
D. Leviatan
113 papers receiving 853 citations
Peers
Comparison fields: 5 of 61
- Statistics and Probability 510
- Numerical Analysis 479
- Applied Mathematics 403
- Computational Mechanics 208
- Mathematical Physics 161
Countries citing papers authored by D. Leviatan
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
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-authorship network of co-authors of D. Leviatan
This figure shows the co-authorship network connecting the top 25 collaborators of D. Leviatan. A scholar is included among the top collaborators of D. Leviatan 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 D. Leviatan. D. Leviatan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | Pointwise estimates of coconvex approximation | 2 |
| 9 | 5 | |
| 10 | 2 | |
| 11 | 0 | |
| 12 | 1 | |
| 13 | 2 | |
| 14 | Estimates on the approximation of 3-monotone functions by 3-monotone quadratic splines | 4 |
| 15 | 9 | |
| 16 | 3 | |
| 17 | 13 | |
| 18 | 5 | |
| 19 | 1 | |
| 20 | 1 |
About D. Leviatan
D. Leviatan is a scholar working on Numerical Analysis, Statistics and Probability and Applied Mathematics, 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) and Mathematical functions and polynomials (39 papers). The work is most often cited by research in Numerical Analysis (479 citations), Statistics and Probability (510 citations) and Applied Mathematics (403 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 Temlyakov, Kirill A. Kopotun, Ronald DeVore, R. K. Beatson, A. Jakimovski and Depeng Jiang. Their work appears in journals such as SHILAP Revista de lepidopterología, SIAM Journal on Numerical Analysis and Journal of Mathematical Analysis and Applications.
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.