Arian Maleki
- Computational Mechanics top 0.2%
- Electrical and Electronic Engineering top 5%
- Signal Processing top 0.5%
- Biomedical Engineering top 5%
- Computer Vision and Pattern Recognition top 1%
- Co-authors
- David L. DonohoAndrea MontanariRichard G. BaraniukChristopher A. MetzlerLaura AnitoriZai YangMorteza ShahramVictoria Stodden
- Topics
- Sparse and Compressive Sensing Techniques (41 papers)Image and Signal Denoising Methods (21 papers)Blind Source Separation Techniques (16 papers)
- Journals
- Proceedings of the National Academy of SciencesIEEE Transactions on Information TheoryIEEE Transactions on Image Processing
- Partner nations
- United StatesChinaIran
In The Last Decade
Arian Maleki
60 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Computational Mechanics 2.3k
- Electrical and Electronic Engineering 1.1k
- Signal Processing 910
- Biomedical Engineering 896
- Computer Vision and Pattern Recognition 823
Countries citing papers authored by Arian Maleki
This map shows the geographic impact of Arian Maleki'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 Arian Maleki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arian Maleki more than expected).
Fields of papers citing papers by Arian Maleki
This network shows the impact of papers produced by Arian Maleki. 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 Arian Maleki. The network helps show where Arian Maleki may publish in the future.
Co-authorship network of co-authors of Arian Maleki
This figure shows the co-authorship network connecting the top 25 collaborators of Arian Maleki. A scholar is included among the top collaborators of Arian Maleki 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 Arian Maleki. Arian Maleki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | Approximate Message Passing for Amplitude Based Optimization | 3 |
| 7 | 22 | |
| 8 | 1 | |
| 9 | Global Analysis of Expectation Maximization for Mixtures of Two Gaussians | 16 |
| 10 | 3 | |
| 11 | 18 | |
| 12 | 114 | |
| 13 | Iterative Thresholding Algorithm for Sparse Inverse Covariance Estimation | 29 |
| 14 | 11 | |
| 15 | 204 | |
| 16 | 5 | |
| 17 | 22 | |
| 18 | Message-passing algorithms for compressed sensingbreakdown → | 1479 |
| 19 | Freely Available, Optimally Tuned Iterative Thresholding Algorithms for Compressed Sensing | 4 |
| 20 | 23 |
About Arian Maleki
Arian Maleki is a scholar working on Computational Mechanics, Signal Processing and Statistics and Probability, having authored 64 papers that have together received 3.9k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (41 papers), Image and Signal Denoising Methods (21 papers) and Blind Source Separation Techniques (16 papers). The work is most often cited by research in Computational Mechanics (2.3k citations), Acoustics and Ultrasonics (81 citations) and Signal Processing (910 citations). Arian Maleki has collaborated with scholars based in United States, China and Iran. Frequent co-authors include David L. Donoho, Andrea Montanari, Richard G. Baraniuk, Christopher A. Metzler, Laura Anitori, Zai Yang, Morteza Shahram, Victoria Stodden, Christoph Studer and Charles Jeon. Their work appears in journals such as Proceedings of the National Academy of Sciences, IEEE Transactions on Information Theory 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.