Tino Ullrich

1.8k total citations
45 papers, 799 citations indexed

About

Tino Ullrich is a scholar working on Applied Mathematics, Numerical Analysis and Computational Mechanics. According to data from OpenAlex, Tino Ullrich has authored 45 papers receiving a total of 799 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Applied Mathematics, 32 papers in Numerical Analysis and 12 papers in Computational Mechanics. Recurrent topics in Tino Ullrich's work include Mathematical Approximation and Integration (32 papers), Mathematical Analysis and Transform Methods (24 papers) and Advanced Harmonic Analysis Research (20 papers). Tino Ullrich is often cited by papers focused on Mathematical Approximation and Integration (32 papers), Mathematical Analysis and Transform Methods (24 papers) and Advanced Harmonic Analysis Research (20 papers). Tino Ullrich collaborates with scholars based in Germany, Vietnam and United States. Tino Ullrich's co-authors include Winfried Sickel, Ðinh Dũng, Vladimir Temlyakov, Thomas Kühn, Holger Rauhut, Dachun Yang, Wen Yuan, Yiyu Liang, Yoshihiro Sawano and Mario Ullrich and has published in prestigious journals such as SHILAP Revista de lepidopterología, Mathematics of Computation and SIAM Journal on Numerical Analysis.

In The Last Decade

Tino Ullrich

44 papers receiving 740 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tino Ullrich Germany 17 538 391 243 187 120 45 799
Ðinh Dũng Vietnam 13 192 0.4× 313 0.8× 91 0.4× 180 1.0× 89 0.7× 48 502
Aicke Hinrichs Germany 12 151 0.3× 219 0.6× 64 0.3× 66 0.4× 70 0.6× 57 404
Shayne Waldron New Zealand 12 283 0.5× 126 0.3× 58 0.2× 203 1.1× 68 0.6× 49 583
Juan Malumbres Spain 16 346 0.6× 236 0.6× 167 0.7× 111 0.6× 33 0.3× 85 817
Борис Сергеевич Кашин Russia 13 206 0.4× 153 0.4× 107 0.4× 104 0.6× 63 0.5× 75 463
Manfred V. Golitschek Germany 12 255 0.5× 197 0.5× 60 0.2× 185 1.0× 75 0.6× 37 635
Borislav Bojanov Bulgaria 14 345 0.6× 222 0.6× 70 0.3× 180 1.0× 33 0.3× 57 574
M. Thamban Nair India 15 191 0.4× 143 0.4× 554 2.3× 86 0.5× 36 0.3× 78 687
Leszek Plaskota Poland 10 143 0.3× 222 0.6× 48 0.2× 84 0.4× 41 0.3× 43 396
Rolf Joachim Nessel Germany 5 519 1.0× 233 0.6× 189 0.8× 83 0.4× 91 0.8× 10 825

Countries citing papers authored by Tino Ullrich

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Tino Ullrich

This figure shows the co-authorship network connecting the top 25 collaborators of Tino Ullrich. A scholar is included among the top collaborators of Tino Ullrich 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 Tino Ullrich. Tino Ullrich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Krieg, David, et al.. (2025). Sampling projections in the uniform norm. Journal of Mathematical Analysis and Applications. 553(2). 129873–129873. 1 indexed citations
2.
Hauck, Michael, Christoph Meinecke, Alexander Schade, et al.. (2024). Perspective on the Development and Integration of Hydrogen Sensors for Fuel Cell Control. Energies. 17(20). 5158–5158. 2 indexed citations
3.
Jahn, Thomas, Tino Ullrich, & Felix Voigtlaender. (2023). Sampling numbers of smoothness classes via ℓ1-minimization. Journal of Complexity. 79. 101786–101786. 14 indexed citations
4.
Schäfer, Martin, et al.. (2023). Constructive subsampling of finite frames with applications in optimal function recovery. Applied and Computational Harmonic Analysis. 65. 209–248. 16 indexed citations
5.
Garrigós, Gustavo, Andreas Seeger, & Tino Ullrich. (2023). Haar Frame Characterizations of Besov–Sobolev Spaces and Optimal Embeddings into Their Dyadic Counterparts. Journal of Fourier Analysis and Applications. 29(3).
6.
Potts, Daniel, et al.. (2023). Fast hyperbolic wavelet regression meets ANOVA. Numerische Mathematik. 154(1-2). 155–207. 3 indexed citations
7.
Kühn, Thomas, Winfried Sickel, & Tino Ullrich. (2020). How anisotropic mixed smoothness affects the decay of singular numbers for Sobolev embeddings. Journal of Complexity. 63. 101523–101523. 5 indexed citations
8.
Ullrich, Tino, et al.. (2020). A higher order Faber spline basis for sampling discretization of functions. Journal of Approximation Theory. 257. 105449–105449. 6 indexed citations
9.
Dirksen, Sjoerd & Tino Ullrich. (2018). Gelfand numbers related to structured sparsity and Besov space embeddings with small mixed smoothness. Journal of Complexity. 48. 69–102. 8 indexed citations
10.
Dũng, Ðinh, et al.. (2016). Sampling on energy-norm based sparse grids for the optimal recovery of Sobolev type functions in Hγ. Journal of Approximation Theory. 207. 207–231. 10 indexed citations
11.
Cobos, Fernando, Dorothee D. Haroske, Thomas Kühn, & Tino Ullrich. (2015). Mini-Workshop: Modern Applications of $s$-numbers and Operator Ideals. Oberwolfach Reports. 12(1). 369–397. 3 indexed citations
12.
Mayer, Sebastian, Tino Ullrich, & Jan Vybíral. (2014). Entropy and Sampling Numbers of Classes of Ridge Functions. Constructive Approximation. 42(2). 231–264. 15 indexed citations
13.
Kühn, Thomas, Winfried Sickel, & Tino Ullrich. (2013). Approximation numbers of Sobolev embeddings—Sharp constants and tractability. Journal of Complexity. 30(2). 95–116. 21 indexed citations
14.
Ullrich, Tino. (2013). Optimal cubature in Besov spaces with dominating mixed smoothness on the unit square. Journal of Complexity. 30(2). 72–94. 5 indexed citations
15.
Dũng, Ðinh & Tino Ullrich. (2011). Whitney type inequalities for local anisotropic polynomial approximation. Journal of Approximation Theory. 163(11). 1590–1605. 2 indexed citations
16.
Foucart, Simon, Alain Pajor, Holger Rauhut, & Tino Ullrich. (2010). The Gelfand widths ofℓp-balls for0<p≤1. Journal of Complexity. 26(6). 629–640. 43 indexed citations
17.
Rauhut, Holger & Tino Ullrich. (2010). Generalized coorbit space theory and inhomogeneous function spaces of Besov–Lizorkin–Triebel type. Journal of Functional Analysis. 260(11). 3299–3362. 32 indexed citations
18.
Sickel, Winfried & Tino Ullrich. (2009). Tensor products of Sobolev–Besov spaces and applications to approximation from the hyperbolic cross. Journal of Approximation Theory. 161(2). 748–786. 45 indexed citations
19.
Ullrich, Tino. (2008). Smolyak's algorithm, sampling of sparse grids and sobolev spaces of dominating mixed smoothness. East journal on approximations. 14(1). 1–38. 7 indexed citations
20.
Cobos, Fernando, Christian Richter, & Tino Ullrich. (2008). Reiteration formulae for interpolation methods associated to polygons. Journal of Mathematical Analysis and Applications. 352(2). 773–787. 2 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Ðinh Dũng Breakdown of academic impact, for papers by Aicke Hinrichs Breakdown of academic impact, for papers by Shayne Waldron Breakdown of academic impact, for papers by Juan Malumbres Breakdown of academic impact, for papers by Борис Сергеевич Кашин Breakdown of academic impact, for papers by Manfred V. Golitschek Breakdown of academic impact, for papers by Borislav Bojanov Breakdown of academic impact, for papers by M. Thamban Nair Breakdown of academic impact, for papers by Leszek Plaskota Breakdown of academic impact, for papers by Rolf Joachim Nessel
Rankless by CCL
2026