Arash Amini

102 papers receiving 1.3k citations

Peers

Arash Amini
Comparison fields: 5 of 105
  • Computational Mechanics 581
  • Signal Processing 270
  • Computational Mathematics 9
  • Computer Vision and Pattern Recognition 251
  • Acoustics and Ultrasonics 9
Replace Wan Luo with:
Wan Luo China
Gerald Matz Austria
Hadi Zayyani Iran
Zihan Zhou China
Ioannis D. Schizas United States
Yili Xia China
Javier Vía Spain
Saikat Chatterjee Sweden
Hong Chen China
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Citations per field
00.5×4.7×
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Citations per year

Countries citing papers authored by Arash Amini

Since Specialization
Citations

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

Fields of papers citing papers by Arash Amini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Arash Amini, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Arash Amini Line = papers co-authored together Arash Amini links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011125
2 199973
3 201266
4 200162
5 201256
6 201451
7 201151
8 201650
9 201243
10 201643
11 201940
12 200837
13 201434
14 201634
15 201132
16 202028
17 201220
18 201819
19 201419
20 201619

About Arash Amini

Arash Amini is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition, Signal Processing, Biomedical Engineering and Electrical and Electronic Engineering, having authored 108 papers that have together received 1.4k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (48 papers), Blind Source Separation Techniques (17 papers), Microwave Imaging and Scattering Analysis (16 papers), Image and Signal Denoising Methods (15 papers), Statistical Methods and Inference (9 papers), Direction-of-Arrival Estimation Techniques (7 papers), Mathematical Analysis and Transform Methods (7 papers) and Medical Image Segmentation Techniques (6 papers). The work is most often cited by research in Computational Mechanics (581 citations), Signal Processing (270 citations), Computational Mathematics (9 citations), Computer Vision and Pattern Recognition (251 citations) and Acoustics and Ultrasonics (9 citations). Arash Amini has collaborated with scholars based in Iran, Switzerland and United States. Frequent co-authors include Farokh Marvasti, Michaël Unser, Mayorkinos Papaelias, Mani Entezami, Babak Hossein Khalaj, Ulugbek S. Kamilov, Martin J. Wainwright, Mark P. de Souza, Farzan Haddadi and Norman Terry. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Information Theory, Signal Processing, IEEE Signal Processing Letters and IEEE Transactions on Image 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.

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