Markus Bachmayr
Impact in
- Computational Mathematics top 1%
- Tensor decomposition and applications
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- Model Reduction and Neural Networks
Papers in
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- Tensor decomposition and applications 8
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- Advanced Numerical Methods in Computational Mathematics 7
- Sparse and Compressive Sensing Techniques 7
- Co-authors
- Reinhold Schneider (3 shared papers)Albert Cohen (5 shared papers)André Uschmajew (3 shared papers)Wolfgang Dahmen (5 shared papers)Martin Burger (1 shared paper)Christoph Ortner (2 shared papers)Ralf Drautz (1 shared paper)Cas van der Oord (1 shared paper)
- Journals
- SIAM Journal on Numerical Analysis (6 papers)ESAIM Mathematical Modelling and Numerical Analysis (5 papers)Mathematics of Computation (3 papers)IMA Journal of Numerical Analysis (3 papers)Foundations of Computational Mathematics (2 papers)
- Partner nations
- GermanyFranceUnited Kingdom
In The Last Decade
Markus Bachmayr
28 papers receiving 442 citations
Peers
Comparison fields: 5 of 58
- Computational Mathematics 114
- Statistical and Nonlinear Physics 137
- Numerical Analysis 55
- Statistics, Probability and Uncertainty 70
- Computational Mechanics 135
Countries citing papers authored by Markus Bachmayr
This map shows the geographic impact of Markus Bachmayr'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 Markus Bachmayr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Bachmayr more than expected).
Fields of papers citing papers by Markus Bachmayr
This network shows the impact of papers produced by Markus Bachmayr. 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 Markus Bachmayr. The network helps show where Markus Bachmayr may publish in the future.
Co-authors
The 21 scholars most cited alongside Markus Bachmayr, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 112 | |
| 2 | 2016 | 85 | |
| 3 | 2009 | 50 | |
| 4 | 2016 | 47 | |
| 5 | 2017 | 25 | |
| 6 | 2017 | 23 | |
| 7 | 2013 | 21 | |
| 8 | 2023 | 20 | |
| 9 | 2016 | 17 | |
| 10 | 2016 | 14 | |
| 11 | 2015 | 10 | |
| 12 | 2014 | 8 | |
| 13 | 2023 | 6 | |
| 14 | 2012 | 3 | |
| 15 | 2022 | 3 | |
| 16 | 2025 | 2 | |
| 17 | 2017 | 2 | |
| 18 | 2020 | 2 | |
| 19 | 2023 | 2 | |
| 20 | 2022 | 2 |
About Markus Bachmayr
Markus Bachmayr is a scholar working on Computational Mathematics, Computational Mechanics, Computational Theory and Mathematics, Applied Mathematics and Statistics, Probability and Uncertainty, having authored 32 papers that have together received 466 indexed citations. Recurring topics across this work include Tensor decomposition and applications (8 papers), Advanced Numerical Methods in Computational Mathematics (7 papers), Sparse and Compressive Sensing Techniques (7 papers), Image and Signal Denoising Methods (5 papers), Probabilistic and Robust Engineering Design (5 papers), Matrix Theory and Algorithms (5 papers), Model Reduction and Neural Networks (4 papers) and Mathematical functions and polynomials (3 papers). The work is most often cited by research in Computational Mathematics (114 citations), Statistical and Nonlinear Physics (137 citations), Numerical Analysis (55 citations), Statistics, Probability and Uncertainty (70 citations) and Computational Mechanics (135 citations). Markus Bachmayr has collaborated with scholars based in Germany, France and United Kingdom. Frequent co-authors include Reinhold Schneider, Albert Cohen, André Uschmajew, Wolfgang Dahmen, Martin Burger, Christoph Ortner, Ralf Drautz, Cas van der Oord, Ronald DeVore and Albert Cohen. Their work appears in journals such as SIAM Journal on Numerical Analysis, ESAIM Mathematical Modelling and Numerical Analysis, Mathematics of Computation, IMA Journal of Numerical Analysis and Foundations of Computational Mathematics.
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.