Mario Ullrich
Impact in
- Numerical Analysis top 5%
- Mathematical Approximation and Integration
- Applied Mathematics top 5%
- Mathematical functions and polynomials
- Mathematical Analysis and Transform Methods
Papers in
-
- Mathematical Approximation and Integration 21
-
- Mathematical functions and polynomials 5
- Mathematical Analysis and Transform Methods 4
- Advanced Harmonic Analysis Research 3
- Point processes and geometric inequalities 2
- Co-authors
- David Krieg (8 shared papers)Aicke Hinrichs (5 shared papers)Erich Novak (4 shared papers)Tino Ullrich (4 shared papers)Henryk Woźniakowski (3 shared papers)Daniel Rudolf (1 shared paper)Martin Dyer (1 shared paper)Catherine Greenhill (1 shared paper)
- Journals
- Journal of Complexity (6 papers)Journal of Approximation Theory (2 papers)SIAM Journal on Numerical Analysis (2 papers)Acta Numerica (1 paper)Mathematics and Computers in Simulation (1 paper)
- Partner nations
- AustriaGermanyUnited States
In The Last Decade
Mario Ullrich
27 papers receiving 298 citations
Peers
Comparison fields: 5 of 45
- Numerical Analysis 202
- Applied Mathematics 111
- Statistics and Probability 66
- Mathematical Physics 53
- Statistics, Probability and Uncertainty 27
Countries citing papers authored by Mario Ullrich
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
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-authors
The 14 scholars most cited alongside Mario 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
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 42 | |
| 2 | 2021 | 34 | |
| 3 | 2013 | 26 | |
| 4 | 2017 | 20 | |
| 5 | 2016 | 19 | |
| 6 | 2018 | 18 | |
| 7 | 2014 | 14 | |
| 8 | 2014 | 14 | |
| 9 | 2020 | 14 | |
| 10 | 2017 | 14 | |
| 11 | 2013 | 13 | |
| 12 | 2014 | 11 | |
| 13 | 2015 | 10 | |
| 14 | 2019 | 9 | |
| 15 | 2023 | 9 | |
| 16 | 2018 | 9 | |
| 17 | 2014 | 8 | |
| 18 | 2023 | 7 | |
| 19 | 2025 | 5 | |
| 20 | 2018 | 5 |
About Mario Ullrich
Mario Ullrich is a scholar working on Numerical Analysis, Applied Mathematics, Computational Mechanics, Statistics and Probability and Computer Vision and Pattern Recognition, having authored 28 papers that have together received 318 indexed citations. Recurring topics across this work include Mathematical Approximation and Integration (21 papers), Markov Chains and Monte Carlo Methods (5 papers), Mathematical functions and polynomials (5 papers), Mathematical Analysis and Transform Methods (4 papers), Advanced Harmonic Analysis Research (3 papers), Advanced Numerical Analysis Techniques (3 papers), Bayesian Methods and Mixture Models (3 papers) and Point processes and geometric inequalities (2 papers). The work is most often cited by research in Numerical Analysis (202 citations), Applied Mathematics (111 citations), Statistics and Probability (66 citations), Mathematical Physics (53 citations) and Statistics, Probability and Uncertainty (27 citations). Mario Ullrich has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include David Krieg, Aicke Hinrichs, Erich Novak, Tino Ullrich, Henryk Woźniakowski, Daniel Rudolf, Martin Dyer, Catherine Greenhill, Peter Kritzer and К. Урбаник. Their work appears in journals such as Journal of Complexity, Journal of Approximation Theory, SIAM Journal on Numerical Analysis, Acta Numerica and Mathematics and Computers in Simulation.
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.