Björn Jawerth
- Applied Mathematics top 0.1%
- Computer Vision and Pattern Recognition top 1%
- Mathematical Physics top 0.5%
- Computational Mechanics top 5%
- Signal Processing top 2%
- Co-authors
- Michael FrazierRonald DeVoreBradley J. LucierWim SweldensGuido WeissMario MilmanAlberto TorchinskyTerrance L. Huntsberger
- Topics
- Advanced Harmonic Analysis Research (16 papers)Image and Signal Denoising Methods (13 papers)Mathematical Analysis and Transform Methods (10 papers)
- Journals
- IEEE Transactions on Information TheoryIEEE Transactions on Signal ProcessingCommunications on Pure and Applied Mathematics
- Partner nations
- United StatesBelgiumIsrael
In The Last Decade
Björn Jawerth
36 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Applied Mathematics 2.0k
- Computer Vision and Pattern Recognition 1.1k
- Mathematical Physics 1.1k
- Computational Mechanics 354
- Signal Processing 294
Countries citing papers authored by Björn Jawerth
This map shows the geographic impact of Björn Jawerth'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 Björn Jawerth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Björn Jawerth more than expected).
Fields of papers citing papers by Björn Jawerth
This network shows the impact of papers produced by Björn Jawerth. 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 Björn Jawerth. The network helps show where Björn Jawerth may publish in the future.
Co-authorship network of co-authors of Björn Jawerth
This figure shows the co-authorship network connecting the top 25 collaborators of Björn Jawerth. A scholar is included among the top collaborators of Björn Jawerth 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 Björn Jawerth. Björn Jawerth is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 42 | |
| 3 | 27 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 9 | |
| 8 | 28 | |
| 9 | Image compression through wavelet transform codingbreakdown → | 613 |
| 10 | Littlewood-Paley Theory and the Study of Function Spacesbreakdown → | 534 |
| 11 | A discrete transform and decompositions of distribution spacesbreakdown → | 662 |
| 12 | 15 | |
| 13 | 3 | |
| 14 | 8 | |
| 15 | 81 | |
| 16 | 51 | |
| 17 | 15 | |
| 18 | 0 | |
| 19 | 5 | |
| 20 | 107 |
About Björn Jawerth
Björn Jawerth is a scholar working on Applied Mathematics, Mathematical Physics and Computer Vision and Pattern Recognition, having authored 40 papers that have together received 3.3k indexed citations. Recurring topics across this work include Advanced Harmonic Analysis Research (16 papers), Image and Signal Denoising Methods (13 papers) and Mathematical Analysis and Transform Methods (10 papers). The work is most often cited by research in Applied Mathematics (2.0k citations), Mathematical Physics (1.1k citations) and Computer Vision and Pattern Recognition (1.1k citations). Björn Jawerth has collaborated with scholars based in United States, Belgium and Israel. Frequent co-authors include Michael Frazier, Ronald DeVore, Bradley J. Lucier, Wim Sweldens, Guido Weiss, Mario Milman, Alberto Torchinsky, Terrance L. Huntsberger, Richard Rochberg and Marius Mitrea. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Transactions on Signal Processing and Communications on Pure and Applied Mathematics.
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.