Azita Mayeli

31 papers and 376 indexed citations i.

About

Azita Mayeli is a scholar working on Applied Mathematics, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Azita Mayeli has authored 31 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Applied Mathematics, 11 papers in Computer Vision and Pattern Recognition and 9 papers in Signal Processing. Recurrent topics in Azita Mayeli’s work include Mathematical Analysis and Transform Methods (26 papers), Image and Signal Denoising Methods (11 papers) and Advanced Harmonic Analysis Research (8 papers). Azita Mayeli is often cited by papers focused on Mathematical Analysis and Transform Methods (26 papers), Image and Signal Denoising Methods (11 papers) and Advanced Harmonic Analysis Research (8 papers). Azita Mayeli collaborates with scholars based in United States, Spain and Germany. Azita Mayeli's co-authors include Daryl Geller, Alex Iosevich, Jonathan Pakianathan, Davide Barbieri, Eugenio Hernández, Hartmut Führ, Frode K. Hansen, Domenico Marinucci, Gestur Ólafsson and Thomas Fallon and has published in prestigious journals such as The Astrophysical Journal, Journal of Mathematical Analysis and Applications and Journal of Functional Analysis.

In The Last Decade

Co-authorship network of co-authors of Azita Mayeli i

Fields of papers citing papers by Azita Mayeli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Azita Mayeli

Since Specialization
Citations

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).

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.

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2025