Armin Eftekhari

32 papers receiving 297 citations

Peers

Armin Eftekhari
Comparison fields: 5 of 67
  • Computational Mechanics 153
  • Computational Mathematics 4
  • Computer Vision and Pattern Recognition 111
  • Signal Processing 48
  • Acoustics and Ultrasonics 2
Replace Goran Marjanovic with:
Goran Marjanovic Australia
Xinyue Shen China
Christopher Dyken Norway
Mariette Annergren Sweden
Xiaoqiang Hua China
Zhang Liu China
K. Sudhakar India
Yuesheng Xu United States
Guangliang Chen China
M. Novey United States
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Citations per year

Countries citing papers authored by Armin Eftekhari

Since Specialization
Citations

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

Fields of papers citing papers by Armin Eftekhari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Armin Eftekhari, 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 Armin Eftekhari Line = papers co-authored together Armin Eftekhari links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201435
2 201134
3 200934
4 201131
5 201725
6 201023
7 201022
8 199214
9 201812
10
Changes of the Mandible after Orthodontic Treatment with and without Extraction of Four Premolars.
20168
11
20188
12
Fast and Provable ADMM for Learning with Generative Priors
20197
13 20197
14 20136
15 20195
16 20094
17 20084
18 20233
19 20203
20 20163

About Armin Eftekhari

Armin Eftekhari is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition, Signal Processing, Biomedical Engineering and Artificial Intelligence, having authored 35 papers that have together received 312 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (17 papers), Blind Source Separation Techniques (6 papers), Image and Signal Denoising Methods (6 papers), Microwave Imaging and Scattering Analysis (5 papers), Face and Expression Recognition (5 papers), Medical Image Segmentation Techniques (4 papers), Orthodontics and Dentofacial Orthopedics (2 papers) and Direction-of-Arrival Estimation Techniques (2 papers). The work is most often cited by research in Computational Mechanics (153 citations), Computational Mathematics (4 citations), Computer Vision and Pattern Recognition (111 citations), Signal Processing (48 citations) and Acoustics and Ultrasonics (2 citations). Armin Eftekhari has collaborated with scholars based in United States, Iran and United Kingdom. Frequent co-authors include Michael B. Wakin, Hamid Abrishami Moghaddam, Massoud Babaie‐Zadeh, Javad Alirezaie, Christopher J. Rozell, Christian Jutten, R. Viswanathan, Mohamad Forouzanfar, Paul G. Constantine and Rachel Ward. Their work appears in journals such as Applied and Computational Harmonic Analysis, SIAM Journal on Optimization, IEEE Transactions on Pattern Analysis and Machine Intelligence, Physical review. E and Journal of Optimization Theory and Applications.

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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