Azita Mayeli
- Applied Mathematics top 5%
- Mathematical Physics top 10%
- Computer Vision and Pattern Recognition top 10%
- Geophysics
- Statistical and Nonlinear Physics
- Co-authors
- Daryl GellerIsaac Z. PesensonQuôc Thông Lê GiaH. N. MhaskarDing‐Xuan ZhouHartmut FührJonathan PakianathanYurii Lyubarskii
- Topics
- Mathematical Analysis and Transform Methods (19 papers)Image and Signal Denoising Methods (10 papers)Advanced Harmonic Analysis Research (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Mathematical Analysis and ApplicationsBulletin of the London Mathematical Society
- Partner nations
- United StatesGermanyAustralia
In The Last Decade
Azita Mayeli
23 papers receiving 191 citations
Peers
Comparison fields: 5 of 43
- Applied Mathematics 148
- Mathematical Physics 71
- Computer Vision and Pattern Recognition 60
- Geophysics 24
- Statistical and Nonlinear Physics 23
Countries citing papers authored by Azita Mayeli
This map shows the geographic impact of Azita Mayeli'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 Azita Mayeli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Azita Mayeli more than expected).
Fields of papers citing papers by Azita Mayeli
This network shows the impact of papers produced by Azita Mayeli. 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 Azita Mayeli. The network helps show where Azita Mayeli may publish in the future.
Co-authorship network of co-authors of Azita Mayeli
This figure shows the co-authorship network connecting the top 25 collaborators of Azita Mayeli. A scholar is included among the top collaborators of Azita Mayeli 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 Azita Mayeli. Azita Mayeli 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 | 0 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | Novel methods in harmonic analysis | 1 |
| 9 | 12 | |
| 10 | 10 | |
| 11 | 7 | |
| 12 | 4 | |
| 13 | 4 | |
| 14 | 11 | |
| 15 | 5 | |
| 16 | 14 | |
| 17 | 3 | |
| 18 | 15 | |
| 19 | 8 | |
| 20 | Discrete and Continuous Wavelet Transformations on the Heisenberg Group | 0 |
About Azita Mayeli
Azita Mayeli is a scholar working on Applied Mathematics, Mathematical Physics and Computer Vision and Pattern Recognition, having authored 26 papers that have together received 197 indexed citations. Recurring topics across this work include Mathematical Analysis and Transform Methods (19 papers), Image and Signal Denoising Methods (10 papers) and Advanced Harmonic Analysis Research (6 papers). The work is most often cited by research in Applied Mathematics (148 citations), Mathematical Physics (71 citations) and Computer Vision and Pattern Recognition (60 citations). Azita Mayeli has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Daryl Geller, Isaac Z. Pesenson, Quôc Thông Lê Gia, H. N. Mhaskar, Ding‐Xuan Zhou, Hartmut Führ, Jonathan Pakianathan, Yurii Lyubarskii, Gestur Ólafsson and Thomas Fallon. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Mathematical Analysis and Applications and Bulletin of the London Mathematical Society.
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.