M. Nayeri
- Control and Systems Engineering top 5%
- Computational Mechanics top 5%
- Electrical and Electronic Engineering
- Signal Processing top 5%
- Biomedical Engineering
- Co-authors
- J.R. DellerW.K. JenkinsAdel AlaeddiniMehdi GhazanfariHong FanRadislav A. PotyrailoXiaxi LiAndrei Kolmakov
- Topics
- Advanced Adaptive Filtering Techniques (26 papers)Image and Signal Denoising Methods (13 papers)Control Systems and Identification (12 papers)
- Journals
- SHILAP Revista de lepidopterologíaProceedings of the IEEEIEEE Transactions on Signal Processing
- Partner nations
- United StatesIranJapan
In The Last Decade
M. Nayeri
42 papers receiving 571 citations
Peers
Comparison fields: 5 of 63
- Control and Systems Engineering 214
- Computational Mechanics 204
- Electrical and Electronic Engineering 154
- Signal Processing 147
- Biomedical Engineering 112
Countries citing papers authored by M. Nayeri
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).
Fields of papers citing papers by M. Nayeri
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.
Co-authorship network of co-authors of M. Nayeri
This figure shows the co-authorship network connecting the top 25 collaborators of M. Nayeri. A scholar is included among the top collaborators of M. Nayeri 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 M. Nayeri. M. Nayeri 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 | 10 | |
| 3 | 1 | |
| 4 | Information Sharing in Designing a Supply Chain Model Considering Demand Forecasting Using Markov Process | 2 |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | AN OPTIMUM ALGORITHM FOR SINGLE MACHINE WITH EARLY/TARDY COST | 2 |
| 12 | 12 | |
| 13 | 3 | |
| 14 | 5 | |
| 15 | 0 | |
| 16 | 6 | |
| 17 | 23 | |
| 18 | 24 | |
| 19 | 58 | |
| 20 | RELATIONSHIPS BETWEEN ERROR SURFACES AND NETWORK ARCHITECTURES IN ADAPTIVE FILTERS. | 5 |
About M. Nayeri
M. Nayeri is a scholar working on Signal Processing, Computational Mechanics and Computer Vision and Pattern Recognition, having authored 46 papers that have together received 594 indexed citations. Recurring topics across this work include Advanced Adaptive Filtering Techniques (26 papers), Image and Signal Denoising Methods (13 papers) and Control Systems and Identification (12 papers). The work is most often cited by research in Signal Processing (147 citations), Statistics, Probability and Uncertainty (82 citations) and Bioengineering (62 citations). M. Nayeri has collaborated with scholars based in United States, Iran and Japan. Frequent co-authors include J.R. Deller, W.K. Jenkins, Adel Alaeddini, Mehdi Ghazanfari, Hong Fan, Radislav A. Potyrailo, Xiaxi Li, Andrei Kolmakov, Douglas Sexton and C. C. Calvert. Their work appears in journals such as SHILAP Revista de lepidopterología, Proceedings of the IEEE and IEEE Transactions on Signal Processing.
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.