Mario Ullrich

653 total citations
25 papers, 282 citations indexed

About

Mario Ullrich is a scholar working on Numerical Analysis, Applied Mathematics and Statistics and Probability. According to data from OpenAlex, Mario Ullrich has authored 25 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Numerical Analysis, 13 papers in Applied Mathematics and 7 papers in Statistics and Probability. Recurrent topics in Mario Ullrich's work include Mathematical Approximation and Integration (19 papers), Markov Chains and Monte Carlo Methods (5 papers) and Mathematical functions and polynomials (5 papers). Mario Ullrich is often cited by papers focused on Mathematical Approximation and Integration (19 papers), Markov Chains and Monte Carlo Methods (5 papers) and Mathematical functions and polynomials (5 papers). Mario Ullrich collaborates with scholars based in Austria, Germany and United Kingdom. Mario Ullrich's co-authors include David Krieg, Aicke Hinrichs, Erich Novak, Tino Ullrich, Henryk Woźniakowski, Daniel Rudolf, Peter Kritzer, Gerhard Larcher, Frances Y. Kuo and Martin Dyer and has published in prestigious journals such as SIAM Journal on Numerical Analysis, Journal of Mathematical Analysis and Applications and Linear Algebra and its Applications.

In The Last Decade

Mario Ullrich

24 papers receiving 261 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mario Ullrich Austria 12 186 104 66 53 48 25 282
Aicke Hinrichs Germany 12 219 1.2× 151 1.5× 46 0.7× 64 1.2× 66 1.4× 57 404
Peter Kritzer Austria 12 414 2.2× 154 1.5× 34 0.5× 24 0.5× 94 2.0× 60 455
Ðinh Dũng Vietnam 13 313 1.7× 192 1.8× 50 0.8× 91 1.7× 180 3.8× 48 502
Борис Сергеевич Кашин Russia 13 153 0.8× 206 2.0× 52 0.8× 107 2.0× 104 2.2× 75 463
Giancarlo Travaglini Italy 11 128 0.7× 238 2.3× 53 0.8× 117 2.2× 18 0.4× 49 369
Grzegorz W. Wasilkowski United States 14 432 2.3× 213 2.0× 95 1.4× 24 0.5× 102 2.1× 35 534
Michael Gnewuch Germany 12 293 1.6× 102 1.0× 25 0.4× 11 0.2× 65 1.4× 37 342
Edward Neuman United States 21 152 0.8× 924 8.9× 41 0.6× 63 1.2× 90 1.9× 88 1.1k
András Kroó Hungary 13 199 1.1× 364 3.5× 158 2.4× 93 1.8× 71 1.5× 101 587
Woula Themistoclakis Italy 11 134 0.7× 167 1.6× 62 0.9× 23 0.4× 41 0.9× 36 289

Countries citing papers authored by Mario Ullrich

Since Specialization
Citations

This map shows the geographic impact of Mario 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 Mario Ullrich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Ullrich more than expected).

Fields of papers citing papers by Mario Ullrich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mario 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 Mario Ullrich. The network helps show where Mario Ullrich may publish in the future.

Co-authorship network of co-authors of Mario Ullrich

This figure shows the co-authorship network connecting the top 25 collaborators of Mario Ullrich. A scholar is included among the top collaborators of Mario 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 Mario Ullrich. Mario 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, Erich Novak, & Mario Ullrich. (2025). On the power of adaption and randomization. Forum of Mathematics Sigma. 13.
2.
Krieg, David, et al.. (2025). Sampling projections in the uniform norm. Journal of Mathematical Analysis and Applications. 553(2). 129873–129873. 1 indexed citations
3.
Ullrich, Mario. (2024). Inequalities between s-numbers. Advances in Operator Theory. 9(4). 1 indexed citations
4.
Krieg, David, et al.. (2023). Exponential tractability of L2-approximation with function values. Advances in Computational Mathematics. 49(2). 7 indexed citations
5.
Ullrich, Mario, et al.. (2023). On the power of iid information for linear approximation. 1(1). 88–126. 4 indexed citations
6.
Krieg, David & Mario Ullrich. (2021). Journal of Complexity / Function values are enough for L2-approximation : Part II. University Library Linz repository (Johannes Kepler Universitat Linz). 29 indexed citations
7.
Ullrich, Mario & David Krieg. (2021). Foundations of Computational Mathematics / Function values are enough for L2-approximation. University Library Linz repository (Johannes Kepler Universitat Linz). 37 indexed citations
8.
Hinrichs, Aicke, et al.. (2019). Monatshefte für Mathematik / On a multi-dimensional Poissonian pair correlation concept and uniform distribution. University Library Linz repository (Johannes Kepler Universitat Linz). 9 indexed citations
9.
Krieg, David & Mario Ullrich. (2019). On $L_2$-approximation in Hilbert spaces using function values. arXiv (Cornell University). 3 indexed citations
10.
Hinrichs, Aicke, et al.. (2018). The minimal k-dispersion of point sets in high dimensions. Journal of Complexity. 51. 68–78. 2 indexed citations
11.
Hinrichs, Aicke, et al.. (2018). The curse of dimensionality for numerical integration on general domains. Journal of Complexity. 50. 25–42. 17 indexed citations
12.
Ullrich, Mario. (2018). A note on the dispersion of admissible lattices. Discrete Applied Mathematics. 257. 385–387. 5 indexed citations
13.
Kritzer, Peter, Frances Y. Kuo, Dirk Nuyens, & Mario Ullrich. (2018). Lattice rules with random n achieve nearly the optimal O(nα12) error independently of the dimension. Journal of Approximation Theory. 240. 96–113. 8 indexed citations
14.
Ullrich, Mario, et al.. (2017). Change of Variable in Spaces of Mixed Smoothness and Numerical Integration of Multivariate Functions on the Unit Cube. Constructive Approximation. 46(1). 69–108. 13 indexed citations
15.
Ullrich, Mario. (2015). A lower bound for the dispersion on the torus. Mathematics and Computers in Simulation. 143. 186–190. 10 indexed citations
16.
Dyer, Martin, Catherine Greenhill, & Mario Ullrich. (2014). Structure and eigenvalues of heat-bath Markov chains. Linear Algebra and its Applications. 454. 57–71. 7 indexed citations
17.
Hinrichs, Aicke, Erich Novak, & Mario Ullrich. (2014). On weak tractability of the Clenshaw–Curtis Smolyak algorithm. Journal of Approximation Theory. 183. 31–44. 13 indexed citations
18.
Novak, Erich, Mario Ullrich, & Henryk Woźniakowski. (2014). Complexity of oscillatory integration for univariate Sobolev spaces. Journal of Complexity. 31(1). 15–41. 11 indexed citations
19.
Hinrichs, Aicke, Erich Novak, Mario Ullrich, & Henryk Woźniakowski. (2013). The curse of dimensionality for numerical integration of smooth functions II. Journal of Complexity. 30(2). 117–143. 25 indexed citations
20.
Ullrich, Mario & К. Урбаник. (1960). A limit theorem for random variables in compact topological groups. Colloquium Mathematicum. 7(2). 191–198. 4 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.

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