Tino Ullrich
- Numerical Analysis top 2%
- Mathematical Approximation and Integration 32
- Applied Mathematics top 1%
- Mathematical Analysis and Transform Methods 24
- Advanced Harmonic Analysis Research 20
- Mathematical Physics top 5%
- Advanced Mathematical Physics Problems 4
- Computational Mathematics top 10%
- Computational Mechanics top 5%
- Advanced Numerical Analysis Techniques 7
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- Image and Signal Denoising Methods 6
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- Advanced Mathematical Modeling in Engineering 5
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- Approximation Theory and Sequence Spaces 5
Tino Ullrich
44 papers receiving 740 citations
Peers
Comparison fields: 5 of 44
- Numerical Analysis 391
- Applied Mathematics 538
- Mathematical Physics 243
- Computational Mathematics 11
- Computational Mechanics 187
Countries citing papers authored by Tino Ullrich
This map shows the geographic impact of Tino Ullrich'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 Tino Ullrich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tino Ullrich more than expected).
Fields of papers citing papers by Tino Ullrich
This network shows the impact of papers produced by Tino Ullrich. 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 Tino Ullrich. The network helps show where Tino Ullrich may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tino Ullrich, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 14 | |
| 4 | 2023 | 16 | |
| 5 | 2023 | 0 | |
| 6 | 2023 | 3 | |
| 7 | 2020 | 5 | |
| 8 | 2020 | 6 | |
| 9 | 2018 | 8 | |
| 10 | 2016 | 10 | |
| 11 | 2015 | 3 | |
| 12 | 2014 | 15 | |
| 13 | 2013 | 21 | |
| 14 | 2013 | 5 | |
| 15 | 2011 | 2 | |
| 16 | 2010 | 43 | |
| 17 | 2010 | 32 | |
| 18 | 2009 | 45 | |
| 19 | Smolyak's algorithm, sampling of sparse grids and sobolev spaces of dominating mixed smoothness | 2008 | 7 |
| 20 | 2008 | 2 |
About Tino Ullrich
Tino Ullrich is a scholar working on Numerical Analysis, Applied Mathematics and Mathematical Physics, having authored 45 papers that have together received 799 indexed citations. Recurring topics across this work include Mathematical Approximation and Integration (32 papers), Mathematical Analysis and Transform Methods (24 papers), Advanced Harmonic Analysis Research (20 papers), Advanced Numerical Analysis Techniques (7 papers), Image and Signal Denoising Methods (6 papers), Advanced Mathematical Modeling in Engineering (5 papers), Approximation Theory and Sequence Spaces (5 papers) and Advanced Mathematical Physics Problems (4 papers). The work is most often cited by research in Numerical Analysis (391 citations), Applied Mathematics (538 citations) and Mathematical Physics (243 citations). Tino Ullrich has collaborated with scholars based in Germany, Vietnam and United States. Frequent co-authors include Winfried Sickel, Ðinh Dũng, Vladimir Temlyakov, Thomas Kühn, Holger Rauhut, Dachun Yang, Wen Yuan, Yiyu Liang, Yoshihiro Sawano and Mario Ullrich. Their work appears in journals such as Journal of Complexity, Journal of Approximation Theory, Constructive Approximation, Journal of Fourier Analysis and Applications and SIAM Journal on Numerical Analysis.
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.