Ðinh Dũng
- Numerical Analysis top 2%
- Applied Mathematics top 5%
- Computational Mechanics top 5%
- Computational Theory and Mathematics top 5%
- Mathematical Physics top 10%
- Co-authors
- Tino UllrichBằng Công VũVladimir TemlyakovPatrick L. CombettesMichael GriebelAlexey ChernovJakob ZechChristoph Schwab
- Topics
- Mathematical Approximation and Integration (27 papers)Probabilistic and Robust Engineering Design (8 papers)Mathematical Analysis and Transform Methods (8 papers)
- Journals
- SIAM Journal on Numerical AnalysisLecture notes in mathematicsJournal of Mathematical Analysis and Applications
- Partner nations
- VietnamGermanyUnited States
In The Last Decade
Ðinh Dũng
42 papers receiving 468 citations
Peers
Comparison fields: 5 of 62
- Numerical Analysis 313
- Applied Mathematics 192
- Computational Mechanics 180
- Computational Theory and Mathematics 111
- Mathematical Physics 91
Countries citing papers authored by Ðinh Dũng
This map shows the geographic impact of Ðinh Dũng'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 Ðinh Dũng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ðinh Dũng more than expected).
Fields of papers citing papers by Ðinh Dũng
This network shows the impact of papers produced by Ðinh Dũng. 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 Ðinh Dũng. The network helps show where Ðinh Dũng may publish in the future.
Co-authorship network of co-authors of Ðinh Dũng
This figure shows the co-authorship network connecting the top 25 collaborators of Ðinh Dũng. A scholar is included among the top collaborators of Ðinh Dũng 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 Ðinh Dũng. Ðinh Dũng 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 | 2 | |
| 3 | 7 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 5 | |
| 8 | 10 | |
| 9 | 19 | |
| 10 | 14 | |
| 11 | New estimates for the cardinality of high-dimensional hyperbolic crosses and approximations of functions having mixed smoothness | 1 |
| 12 | 3 | |
| 13 | 2 | |
| 14 | 2 | |
| 15 | Stability in periodic multi-wavelet decompositions and recovery of functions | 1 |
| 16 | Asymptotic orders of optimal non-linear approximations | 6 |
| 17 | 23 | |
| 18 | 22 | |
| 19 | 2 | |
| 20 | 4 |
About Ðinh Dũng
Ðinh Dũng is a scholar working on Numerical Analysis, Applied Mathematics and Statistics, Probability and Uncertainty, having authored 48 papers that have together received 502 indexed citations. Recurring topics across this work include Mathematical Approximation and Integration (27 papers), Probabilistic and Robust Engineering Design (8 papers) and Mathematical Analysis and Transform Methods (8 papers). The work is most often cited by research in Numerical Analysis (313 citations), Applied Mathematics (192 citations) and Mathematical Physics (91 citations). Ðinh Dũng has collaborated with scholars based in Vietnam, Germany and United States. Frequent co-authors include Tino Ullrich, Bằng Công Vũ, Vladimir Temlyakov, Patrick L. Combettes, Michael Griebel, Alexey Chernov, Jakob Zech, Christoph Schwab, Albert Cohen and Markus Bachmayr. Their work appears in journals such as SIAM Journal on Numerical Analysis, Lecture notes in mathematics 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.