M. Nayeri

30 papers and 447 indexed citations i.

About

M. Nayeri is a scholar working on Computational Mechanics, Signal Processing and Control and Systems Engineering. According to data from OpenAlex, M. Nayeri has authored 30 papers receiving a total of 447 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computational Mechanics, 12 papers in Signal Processing and 10 papers in Control and Systems Engineering. Recurrent topics in M. Nayeri’s work include Advanced Adaptive Filtering Techniques (13 papers), Blind Source Separation Techniques (8 papers) and Control Systems and Identification (8 papers). M. Nayeri is often cited by papers focused on Advanced Adaptive Filtering Techniques (13 papers), Blind Source Separation Techniques (8 papers) and Control Systems and Identification (8 papers). M. Nayeri collaborates with scholars based in United States, Iran and Norway. M. Nayeri's co-authors include J.R. Deller, W.K. Jenkins, Mehdi Ghazanfari, Adel Alaeddini, Hong Fan, Radislav A. Potyrailo, Daniel Sexton, Andrei Kolmakov, Xiaxi Li and C. C. Calvert and has published in prestigious journals such as Proceedings of the IEEE, IEEE Transactions on Signal Processing and Information Sciences.

In The Last Decade

Co-authorship network of co-authors of M. Nayeri i

Fields of papers citing papers by M. Nayeri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Nayeri. 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 M. Nayeri. The network helps show where M. Nayeri may publish in the future.

Countries citing papers authored by M. Nayeri

Since Specialization
Citations

This map shows the geographic impact of M. Nayeri'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 M. Nayeri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Nayeri 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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