Hans‐Georg Stark
- Computer Vision and Pattern Recognition top 10%
- Applied Mathematics top 5%
- Signal Processing
- Cognitive Neuroscience
- Geophysics
- Co-authors
- Peter MaaßChen SagivGitta KutyniokStephan DahlkeGerd TeschkeChristiane ThielemannNir SochenAlfred K. Louis
- Topics
- Image and Signal Denoising Methods (9 papers)Mathematical Analysis and Transform Methods (7 papers)Seismic Imaging and Inversion Techniques (3 papers)
- Partner nations
- GermanyIsraelUnited States
In The Last Decade
Hans‐Georg Stark
17 papers receiving 216 citations
Peers
Comparison fields: 5 of 58
- Computer Vision and Pattern Recognition 100
- Applied Mathematics 77
- Signal Processing 41
- Cognitive Neuroscience 32
- Geophysics 28
Countries citing papers authored by Hans‐Georg Stark
This map shows the geographic impact of Hans‐Georg Stark'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 Hans‐Georg Stark with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hans‐Georg Stark more than expected).
Fields of papers citing papers by Hans‐Georg Stark
This network shows the impact of papers produced by Hans‐Georg Stark. 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 Hans‐Georg Stark. The network helps show where Hans‐Georg Stark may publish in the future.
Co-authorship network of co-authors of Hans‐Georg Stark
This figure shows the co-authorship network connecting the top 25 collaborators of Hans‐Georg Stark. A scholar is included among the top collaborators of Hans‐Georg Stark 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 Hans‐Georg Stark. Hans‐Georg Stark is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 34 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 8 | |
| 8 | 71 | |
| 9 | 62 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 4 | |
| 13 | Wavelets and digital image processing | 4 |
| 14 | 12 | |
| 15 | Multiscale Analysis, Wavelets and Texture Quality | 4 |
| 16 | 3 | |
| 17 | 0 | |
| 18 | 0 | |
| 19 | 2 |
About Hans‐Georg Stark
Hans‐Georg Stark is a scholar working on Applied Mathematics, Computer Vision and Pattern Recognition and Mathematical Physics, having authored 19 papers that have together received 230 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (9 papers), Mathematical Analysis and Transform Methods (7 papers) and Seismic Imaging and Inversion Techniques (3 papers). The work is most often cited by research in Applied Mathematics (77 citations), Computer Vision and Pattern Recognition (100 citations) and Signal Processing (41 citations). Hans‐Georg Stark has collaborated with scholars based in Germany, Israel and United States. Frequent co-authors include Peter Maaß, Chen Sagiv, Gitta Kutyniok, Stephan Dahlke, Gerd Teschke, Christiane Thielemann, Nir Sochen, Alfred K. Louis, Andreas Rieder and Ron Levie. Their work appears in journals such as Physics Letters A, Journal of Mathematical Analysis and Applications and Signal Processing.
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.