Felix Voigtlaender
- Artificial Intelligence
- Statistical and Nonlinear Physics top 10%
- Applied Mathematics top 10%
- Computer Vision and Pattern Recognition
- Computational Mechanics
- Co-authors
- Gitta KutyniokRémi GribonvalMorten NielsenPhilipp GrohsTino UllrichPhilipp PetersenThomas JahnHartmut Führ
- Topics
- Mathematical Analysis and Transform Methods (14 papers)Image and Signal Denoising Methods (11 papers)Neural Networks and Applications (8 papers)
- Journals
- Astronomy and AstrophysicsJournal of Mathematical Analysis and ApplicationsMathematische Annalen
- Partner nations
- GermanyAustriaNetherlands
In The Last Decade
Felix Voigtlaender
25 papers receiving 166 citations
Peers
Comparison fields: 5 of 56
- Artificial Intelligence 72
- Statistical and Nonlinear Physics 48
- Applied Mathematics 43
- Computer Vision and Pattern Recognition 42
- Computational Mechanics 24
Countries citing papers authored by Felix Voigtlaender
This map shows the geographic impact of Felix Voigtlaender'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 Felix Voigtlaender with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Felix Voigtlaender more than expected).
Fields of papers citing papers by Felix Voigtlaender
This network shows the impact of papers produced by Felix Voigtlaender. 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 Felix Voigtlaender. The network helps show where Felix Voigtlaender may publish in the future.
Co-authorship network of co-authors of Felix Voigtlaender
This figure shows the co-authorship network connecting the top 25 collaborators of Felix Voigtlaender. A scholar is included among the top collaborators of Felix Voigtlaender 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 Felix Voigtlaender. Felix Voigtlaender is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 12 | |
| 3 | 14 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 2 | |
| 11 | 34 | |
| 12 | 50 | |
| 13 | 7 | |
| 14 | 2 | |
| 15 | 1 | |
| 16 | 3 | |
| 17 | 1 | |
| 18 | 0 | |
| 19 | Embedding theorems for decomposition spaces with applications to wavelet coorbit spaces | 13 |
| 20 | 13 |
About Felix Voigtlaender
Felix Voigtlaender is a scholar working on Applied Mathematics, Mathematical Physics and Computer Vision and Pattern Recognition, having authored 29 papers that have together received 182 indexed citations. Recurring topics across this work include Mathematical Analysis and Transform Methods (14 papers), Image and Signal Denoising Methods (11 papers) and Neural Networks and Applications (8 papers). The work is most often cited by research in Applied Mathematics (43 citations), Statistical and Nonlinear Physics (48 citations) and Computational Mathematics (2 citations). Felix Voigtlaender has collaborated with scholars based in Germany, Austria and Netherlands. Frequent co-authors include Gitta Kutyniok, Rémi Gribonval, Morten Nielsen, Philipp Grohs, Tino Ullrich, Philipp Petersen, Thomas Jahn, Hartmut Führ, Lukas Arnold and Felix Wolf. Their work appears in journals such as Astronomy and Astrophysics, Journal of Mathematical Analysis and Applications and Mathematische Annalen.
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.