Philipp Grohs
Impact in
- Numerical Analysis top 5%
- Computational Mechanics top 5%
- Advanced Numerical Analysis Techniques
- Sparse and Compressive Sensing Techniques
- Advanced Numerical Methods in Computational Mathematics
Papers in
-
- Advanced Numerical Analysis Techniques 24
- Sparse and Compressive Sensing Techniques 5
-
- Mathematical Analysis and Transform Methods 18
- Co-authors
- Arnulf Jentzen (10 shared papers)S. Hosseini (2 shared papers)Gitta Kutyniok (5 shared papers)Christoph Schwab (4 shared papers)Helmut Pottmann (3 shared papers)Niloy J. Mitra (1 shared paper)Johannes Wallner (2 shared papers)Ingrid Daubechies (1 shared paper)
- Journals
- Applied and Computational Harmonic Analysis (7 papers)Advances in Computational Mathematics (6 papers)Journal of Fourier Analysis and Applications (5 papers)IMA Journal of Numerical Analysis (5 papers)Constructive Approximation (5 papers)
- Partner nations
- AustriaSwitzerlandGermany
In The Last Decade
Philipp Grohs
79 papers receiving 826 citations
Peers
Comparison fields: 5 of 96
- Numerical Analysis 112
- Computational Mechanics 346
- Applied Mathematics 174
- Structural Biology 21
- Statistical and Nonlinear Physics 159
Countries citing papers authored by Philipp Grohs
This map shows the geographic impact of Philipp Grohs'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 Philipp Grohs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philipp Grohs more than expected).
Fields of papers citing papers by Philipp Grohs
This network shows the impact of papers produced by Philipp Grohs. 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 Philipp Grohs. The network helps show where Philipp Grohs may publish in the future.
Co-authors
The 25 scholars most cited alongside Philipp Grohs, 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 87 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 56 | |
| 2 | 2022 | 47 | |
| 3 | 2015 | 46 | |
| 4 | 2008 | 37 | |
| 5 | 2018 | 36 | |
| 6 | 2021 | 34 | |
| 7 | 2013 | 34 | |
| 8 | 2023 | 27 | |
| 9 | 2015 | 27 | |
| 10 | 2010 | 26 | |
| 11 | 2007 | 23 | |
| 12 | 2010 | 23 | |
| 13 | 2021 | 21 | |
| 14 | 2024 | 20 | |
| 15 | 2014 | 20 | |
| 16 | 2022 | 19 | |
| 17 | 2012 | 18 | |
| 18 | 2023 | 17 | |
| 19 | 2009 | 17 | |
| 20 | 2008 | 17 |
About Philipp Grohs
Philipp Grohs is a scholar working on Computational Mechanics, Applied Mathematics, Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Geophysics, having authored 87 papers that have together received 878 indexed citations. Recurring topics across this work include Advanced Numerical Analysis Techniques (24 papers), Image and Signal Denoising Methods (20 papers), Mathematical Analysis and Transform Methods (18 papers), Seismic Imaging and Inversion Techniques (13 papers), Model Reduction and Neural Networks (12 papers), Neural Networks and Applications (8 papers), Numerical methods in inverse problems (5 papers) and Sparse and Compressive Sensing Techniques (5 papers). The work is most often cited by research in Numerical Analysis (112 citations), Computational Mechanics (346 citations), Applied Mathematics (174 citations), Structural Biology (21 citations) and Statistical and Nonlinear Physics (159 citations). Philipp Grohs has collaborated with scholars based in Austria, Switzerland and Germany. Frequent co-authors include Arnulf Jentzen, S. Hosseini, Gitta Kutyniok, Christoph Schwab, Helmut Pottmann, Niloy J. Mitra, Johannes Wallner, Johannes Wallner, Ingrid Daubechies and Felix Voigtlaender. Their work appears in journals such as Applied and Computational Harmonic Analysis, Advances in Computational Mathematics, Journal of Fourier Analysis and Applications, IMA Journal of Numerical Analysis and Constructive Approximation.
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.