Stefan Kindermann
- Mathematical Physics top 5%
- Computer Vision and Pattern Recognition top 5%
- Computational Mechanics top 5%
- Artificial Intelligence top 10%
- Computational Theory and Mathematics top 5%
- Co-authors
- Stanley OsherPeter W. JonesAndreas B. NeubauerEdwin LughoferCarmeliza NavascaMahardhika PratamaCarlos CernudaVictor Isakov
- Topics
- Numerical methods in inverse problems (37 papers)Advanced Mathematical Modeling in Engineering (10 papers)Image and Signal Denoising Methods (9 papers)
- Journals
- Journal of Computational PhysicsIEEE Transactions on Fuzzy SystemsIEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control
- Partner nations
- AustriaUnited StatesGermany
In The Last Decade
Stefan Kindermann
52 papers receiving 882 citations
Peers
Comparison fields: 5 of 85
- Mathematical Physics 283
- Computer Vision and Pattern Recognition 265
- Computational Mechanics 233
- Artificial Intelligence 189
- Computational Theory and Mathematics 136
Countries citing papers authored by Stefan Kindermann
This map shows the geographic impact of Stefan Kindermann'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 Stefan Kindermann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Kindermann more than expected).
Fields of papers citing papers by Stefan Kindermann
This network shows the impact of papers produced by Stefan Kindermann. 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 Stefan Kindermann. The network helps show where Stefan Kindermann may publish in the future.
Co-authorship network of co-authors of Stefan Kindermann
This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Kindermann. A scholar is included among the top collaborators of Stefan Kindermann 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 Stefan Kindermann. Stefan Kindermann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 9 | |
| 7 | 3 | |
| 8 | 21 | |
| 9 | 8 | |
| 10 | 51 | |
| 11 | 1 | |
| 12 | 78 | |
| 13 | Rule Weight Optimization and Feature Selection in Fuzzy Systems with Sparsity Contraints. | 2 |
| 14 | 15 | |
| 15 | Swamp reducing technique for tensor decomposition | 40 |
| 16 | 1 | |
| 17 | 6 | |
| 18 | 5 | |
| 19 | 7 | |
| 20 | 8 |
About Stefan Kindermann
Stefan Kindermann is a scholar working on Computational Mathematics, Mathematical Physics and Applied Mathematics, having authored 55 papers that have together received 959 indexed citations. Recurring topics across this work include Numerical methods in inverse problems (37 papers), Advanced Mathematical Modeling in Engineering (10 papers) and Image and Signal Denoising Methods (9 papers). The work is most often cited by research in Computational Mathematics (77 citations), Mathematical Physics (283 citations) and Computer Vision and Pattern Recognition (265 citations). Stefan Kindermann has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include Stanley Osher, Peter W. Jones, Andreas B. Neubauer, Edwin Lughofer, Carmeliza Navasca, Mahardhika Pratama, Carlos Cernuda, Victor Isakov, Frank Bauer and Na Li. Their work appears in journals such as Journal of Computational Physics, IEEE Transactions on Fuzzy Systems and IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control.
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.