Amir Rastegarnia

2.0k total citations
85 papers, 1.4k citations indexed

About

Amir Rastegarnia is a scholar working on Computational Mechanics, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Amir Rastegarnia has authored 85 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Computational Mechanics, 43 papers in Signal Processing and 24 papers in Artificial Intelligence. Recurrent topics in Amir Rastegarnia's work include Advanced Adaptive Filtering Techniques (57 papers), Blind Source Separation Techniques (36 papers) and Speech and Audio Processing (24 papers). Amir Rastegarnia is often cited by papers focused on Advanced Adaptive Filtering Techniques (57 papers), Blind Source Separation Techniques (36 papers) and Speech and Audio Processing (24 papers). Amir Rastegarnia collaborates with scholars based in Iran, United Kingdom and United Arab Emirates. Amir Rastegarnia's co-authors include Azam Khalili, Md. Kafiul Islam, Zhi Yang, Saeid Sanei, Mohammad Ali Tinati, Wael M. Bazzi, Jonathon A. Chambers, Zhi Yang, Anh Tuan Nguyen and Tohid Yousefi Rezaii and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Electronics and IEEE Transactions on Signal Processing.

In The Last Decade

Amir Rastegarnia

83 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Amir Rastegarnia Iran 19 529 492 439 418 198 85 1.4k
Mohammad Ali Tinati Iran 14 280 0.5× 335 0.7× 161 0.4× 151 0.4× 51 0.3× 84 773
Muhammad Tahir Akhtar Japan 20 1.1k 2.0× 1.1k 2.2× 236 0.5× 116 0.3× 137 0.7× 96 1.4k
Liam Kilmartin Ireland 18 122 0.2× 122 0.2× 278 0.6× 239 0.6× 43 0.2× 59 1.1k
Tim Fingscheidt Germany 21 1.1k 2.0× 504 1.0× 396 0.9× 312 0.7× 26 0.1× 206 1.9k
Zhi Yang China 20 242 0.5× 69 0.1× 719 1.6× 538 1.3× 26 0.1× 90 1.8k
James M. Gilbert United Kingdom 15 477 0.9× 89 0.2× 172 0.4× 403 1.0× 64 0.3× 64 1.3k
Manuel Blanco–Velasco Spain 22 806 1.5× 200 0.4× 343 0.8× 229 0.5× 227 1.1× 79 2.2k
Mingjiang Wang China 16 324 0.6× 140 0.3× 171 0.4× 276 0.7× 134 0.7× 142 1.1k
Mostefa Mesbah Australia 23 549 1.0× 25 0.1× 699 1.6× 207 0.5× 350 1.8× 132 1.5k
Zhiwu Huang China 18 214 0.4× 113 0.2× 95 0.2× 227 0.5× 171 0.9× 55 1.7k

Countries citing papers authored by Amir Rastegarnia

Since Specialization
Citations

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

Fields of papers citing papers by Amir Rastegarnia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amir Rastegarnia

This figure shows the co-authorship network connecting the top 25 collaborators of Amir Rastegarnia. A scholar is included among the top collaborators of Amir Rastegarnia 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 Amir Rastegarnia. Amir Rastegarnia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Khalili, Azam, Amir Rastegarnia, Ali Farzamnia, Saeid Sanei, & Thamer A. H. Alghamdi. (2024). Tracking Analysis of Maximum Versoria Criterion Based Adaptive Filter. IEEE Access. 12. 30747–30753. 1 indexed citations
3.
Rastegarnia, Amir, et al.. (2022). Power and Current Limiting Strategy Based on Droop Controller With Floating Characteristic for Grid-Connected Distributed Generations. IEEE Access. 10. 13966–13973. 2 indexed citations
4.
Rastegarnia, Amir, et al.. (2021). A Class of Diffusion Proportionate Subband Adaptive Filters for Sparse System Identification over Distributed Networks. Circuits Systems and Signal Processing. 40(12). 6242–6264. 3 indexed citations
5.
Khalili, Azam, et al.. (2020). A Robust Scalable Demand-Side Management Based on Diffusion-ADMM Strategy for Smart Grid. IEEE Internet of Things Journal. 7(4). 3363–3377. 16 indexed citations
6.
Rastegarnia, Amir, et al.. (2019). A Self-Governed Online Energy Management and Trading for Smart Micro/Nano-Grids. IEEE Transactions on Industrial Electronics. 67(9). 7484–7498. 29 indexed citations
7.
Rastegarnia, Amir, et al.. (2019). Performance Analysis of Distributed Kalman Filtering With Partial Diffusion Over Noisy Network. IEEE Transactions on Aerospace and Electronic Systems. 56(3). 1767–1782. 15 indexed citations
8.
Rastegarnia, Amir. (2019). Reduced-Communication Diffusion RLS for Distributed Estimation Over Multi-Agent Networks. IEEE Transactions on Circuits & Systems II Express Briefs. 67(1). 177–181. 37 indexed citations
9.
Rastegarnia, Amir, et al.. (2018). Tracking Analysis of Minimum Kernel Risk-Sensitive Loss Algorithm Under General Non-Gaussian Noise. IEEE Transactions on Circuits & Systems II Express Briefs. 66(7). 1262–1266. 12 indexed citations
10.
Rastegarnia, Amir, et al.. (2018). Agent-Based Decentralized Optimal Charging Strategy for Plug-in Electric Vehicles. IEEE Transactions on Industrial Electronics. 66(5). 3668–3680. 52 indexed citations
11.
Rastegarnia, Amir, et al.. (2017). Analysis of Partial Diffusion LMS for Adaptive Estimation Over Networks with Noisy Links. IEEE Transactions on Network Science and Engineering. 5(2). 101–112. 11 indexed citations
12.
Rastegarnia, Amir, Azam Khalili, & Md. Kafiul Islam. (2016). A Self-Organizing Diffusion Mobile Adaptive Network for Pursuing a Target. 6(2). 25–31. 1 indexed citations
13.
Khalili, Azam, et al.. (2016). Adaptive-Filtering-Based Algorithm for Impulsive Noise Cancellation from ECG Signal. SHILAP Revista de lepidopterología. 4(2). 169–176. 1 indexed citations
14.
Islam, Md. Kafiul, Amir Rastegarnia, & Zhi Yang. (2016). Methods for artifact detection and removal from scalp EEG: A review. Neurophysiologie Clinique. 46(4-5). 287–305. 294 indexed citations
15.
Rastegarnia, Amir, et al.. (2015). Frequency Estimation of Unbalanced Three-Phase Power Systems Using the Modified Adaptive Filtering. 5. 16–25. 4 indexed citations
16.
Khalili, Azam, Amir Rastegarnia, & Saeid Sanei. (2015). Robust frequency estimation in three‐phase power systems using correntropy‐based adaptive filter. IET Science Measurement & Technology. 9(8). 928–935. 40 indexed citations
17.
Islam, Md. Kafiul, Amir Rastegarnia, & Azam Khalili. (2015). A Robust Distributed Estimation Algorithm under Alpha-Stable Noise Condition. 4(2). 76–85. 2 indexed citations
18.
Khalili, Azam, et al.. (2015). An Adaptive Incremental Algorithm for Distributed Filtering of Hypercomplex Processes. 5. 9–15. 2 indexed citations
19.
Bazzi, Wael M., Amir Rastegarnia, Azam Khalili, & Saeid Sanei. (2014). A Distributed Algorithm for In-Network Adaptive Estimation Using Incremental Aggregated Gradient. 142–146. 1 indexed citations
20.
Khalili, Azam, Mohammad Ali Tinati, & Amir Rastegarnia. (2011). The impact of unreliable communications on the steady-state performance of incremental RLS adaptive networks. Iranian Conference on Electrical Engineering. 1–5. 2 indexed citations

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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