Joachim Stöckler
- Applied Mathematics top 1%
- Computer Vision and Pattern Recognition top 2%
- Computational Mechanics top 2%
- Mechanics of Materials top 10%
- Signal Processing top 5%
- Co-authors
- Charles K. ChuiWenjie HeJ. D. WardLarry L. SchumakerKurt JetterMaria CharinaMing‐Jun LaiWolfgang Dornisch
- Topics
- Advanced Numerical Analysis Techniques (23 papers)Image and Signal Denoising Methods (20 papers)Mathematical Analysis and Transform Methods (18 papers)
- Journals
- IEEE Transactions on Information TheoryComputer Methods in Applied Mechanics and EngineeringMathematics of Computation
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
Joachim Stöckler
33 papers receiving 856 citations
Peers
Comparison fields: 5 of 57
- Applied Mathematics 543
- Computer Vision and Pattern Recognition 481
- Computational Mechanics 439
- Mechanics of Materials 176
- Signal Processing 145
Countries citing papers authored by Joachim Stöckler
This map shows the geographic impact of Joachim Stöckler'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 Joachim Stöckler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joachim Stöckler more than expected).
Fields of papers citing papers by Joachim Stöckler
This network shows the impact of papers produced by Joachim Stöckler. 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 Joachim Stöckler. The network helps show where Joachim Stöckler may publish in the future.
Co-authorship network of co-authors of Joachim Stöckler
This figure shows the co-authorship network connecting the top 25 collaborators of Joachim Stöckler. A scholar is included among the top collaborators of Joachim Stöckler 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 Joachim Stöckler. Joachim Stöckler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 17 | |
| 3 | 7 | |
| 4 | 2 | |
| 5 | 5 | |
| 6 | 10 | |
| 7 | 21 | |
| 8 | 43 | |
| 9 | 11 | |
| 10 | 21 | |
| 11 | 31 | |
| 12 | 34 | |
| 13 | Approximation theory X : wavelets, splines, and applications | 123 |
| 14 | Approximation theory X : abstract and classical analysis | 21 |
| 15 | 194 | |
| 16 | 51 | |
| 17 | 36 | |
| 18 | 8 | |
| 19 | 39 | |
| 20 | 13 |
About Joachim Stöckler
Joachim Stöckler is a scholar working on Applied Mathematics, Computational Mechanics and Computer Vision and Pattern Recognition, having authored 33 papers that have together received 926 indexed citations. Recurring topics across this work include Advanced Numerical Analysis Techniques (23 papers), Image and Signal Denoising Methods (20 papers) and Mathematical Analysis and Transform Methods (18 papers). The work is most often cited by research in Applied Mathematics (543 citations), Computer Vision and Pattern Recognition (481 citations) and Computational Mechanics (439 citations). Joachim Stöckler has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Charles K. Chui, Wenjie He, Charles K. Chui, J. D. Ward, Larry L. Schumaker, Kurt Jetter, Maria Charina, Ming‐Jun Lai, Wolfgang Dornisch and Xianliang Shi. Their work appears in journals such as IEEE Transactions on Information Theory, Computer Methods in Applied Mechanics and Engineering and Mathematics of Computation.
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.