Philipp Grohs
Impact in
- Numerical Analysis top 5%
- Computational Mechanics top 2%
- 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 7
-
- Mathematical Analysis and Transform Methods 21
- Co-authors
- Gitta Kutyniok (8 shared papers)Arnulf Jentzen (10 shared papers)S. Hosseini (2 shared papers)Julius Berner (5 shared papers)Christoph Schwab (4 shared papers)Philipp Petersen (3 shared papers)Helmut Pottmann (3 shared papers)Johannes Wallner (2 shared papers)
- Journals
- Applied and Computational Harmonic Analysis (7 papers)Advances in Computational Mathematics (6 papers)Journal of Fourier Analysis and Applications (5 papers)Constructive Approximation (5 papers)IMA Journal of Numerical Analysis (5 papers)
- Partner nations
- AustriaSwitzerlandGermany
In The Last Decade
Philipp Grohs
86 papers receiving 991 citations
Peers
Comparison fields: 5 of 104
- Numerical Analysis 120
- Computational Mechanics 409
- Applied Mathematics 198
- Statistical and Nonlinear Physics 189
- Structural Biology 21
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 96 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 74 | |
| 2 | 2021 | 58 | |
| 3 | 2022 | 49 | |
| 4 | 2015 | 48 | |
| 5 | 2008 | 38 | |
| 6 | 2018 | 37 | |
| 7 | 2013 | 37 | |
| 8 | 2021 | 36 | |
| 9 | 2010 | 30 | |
| 10 | 2015 | 29 | |
| 11 | 2010 | 29 | |
| 12 | 2023 | 27 | |
| 13 | 2007 | 27 | |
| 14 | 2021 | 22 | |
| 15 | 2014 | 22 | |
| 16 | 2009 | 22 | |
| 17 | 2023 | 20 | |
| 18 | 2024 | 20 | |
| 19 | 2008 | 20 | |
| 20 | 2009 | 20 |
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 96 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Numerical Analysis Techniques (24 papers), Image and Signal Denoising Methods (23 papers), Mathematical Analysis and Transform Methods (21 papers), Seismic Imaging and Inversion Techniques (14 papers), Model Reduction and Neural Networks (13 papers), Neural Networks and Applications (9 papers), Sparse and Compressive Sensing Techniques (7 papers) and Numerical methods in inverse problems (6 papers). The work is most often cited by research in Numerical Analysis (120 citations), Computational Mechanics (409 citations), Applied Mathematics (198 citations), Statistical and Nonlinear Physics (189 citations) and Structural Biology (21 citations). Philipp Grohs has collaborated with scholars based in Austria, Switzerland and Germany. Frequent co-authors include Gitta Kutyniok, Arnulf Jentzen, S. Hosseini, Julius Berner, Christoph Schwab, Philipp Petersen, Helmut Pottmann, Johannes Wallner, Johannes Wallner and Niloy J. Mitra. Their work appears in journals such as Applied and Computational Harmonic Analysis, Advances in Computational Mathematics, Journal of Fourier Analysis and Applications, Constructive Approximation and IMA Journal of Numerical Analysis.
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.