Ashkan Panahi

697 total citations
41 papers, 392 citations indexed

About

Ashkan Panahi is a scholar working on Computational Mechanics, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Ashkan Panahi has authored 41 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computational Mechanics, 13 papers in Artificial Intelligence and 11 papers in Signal Processing. Recurrent topics in Ashkan Panahi's work include Sparse and Compressive Sensing Techniques (18 papers), Direction-of-Arrival Estimation Techniques (7 papers) and Blind Source Separation Techniques (5 papers). Ashkan Panahi is often cited by papers focused on Sparse and Compressive Sensing Techniques (18 papers), Direction-of-Arrival Estimation Techniques (7 papers) and Blind Source Separation Techniques (5 papers). Ashkan Panahi collaborates with scholars based in Sweden, United States and India. Ashkan Panahi's co-authors include Mats Viberg, M. Reza Khanzadi, Thomas Eriksson, Dan Kuylenstierna, Herbert Zirath, Babak Hassibi, Giuseppe Durisi, Guangjun Gao, Peter Gerstoft and Christoph F. Mecklenbräuker and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Automatic Control and IEEE Transactions on Image Processing.

In The Last Decade

Ashkan Panahi

38 papers receiving 380 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ashkan Panahi Sweden 11 152 137 114 60 60 41 392
Farzan Haddadi Iran 9 81 0.5× 101 0.7× 103 0.9× 64 1.1× 55 0.9× 28 284
Meenu Rani India 3 97 0.6× 181 1.3× 83 0.7× 117 1.9× 67 1.1× 4 357
R. B. Deshmukh India 4 97 0.6× 181 1.3× 83 0.7× 117 1.9× 70 1.2× 7 367
Ning Fu China 11 123 0.8× 193 1.4× 180 1.6× 66 1.1× 104 1.7× 102 475
Shuhong Jiao China 10 68 0.4× 76 0.6× 58 0.5× 51 0.8× 87 1.4× 35 278
Dominique Pastor France 14 63 0.4× 128 0.9× 193 1.7× 38 0.6× 115 1.9× 52 462
F. Castanié France 12 208 1.4× 138 1.0× 178 1.6× 53 0.9× 82 1.4× 89 558
Mark Borgerding United States 4 167 1.1× 164 1.2× 66 0.6× 88 1.5× 78 1.3× 7 362
Youwen Zhang China 11 191 1.3× 116 0.8× 145 1.3× 28 0.5× 22 0.4× 53 445

Countries citing papers authored by Ashkan Panahi

Since Specialization
Citations

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

Fields of papers citing papers by Ashkan Panahi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ashkan Panahi

This figure shows the co-authorship network connecting the top 25 collaborators of Ashkan Panahi. A scholar is included among the top collaborators of Ashkan Panahi 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 Ashkan Panahi. Ashkan Panahi 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.
Sattari, Mehdi, Hao Guo, Denız Gündüz, Ashkan Panahi, & Tommy Svensson. (2024). Full-Duplex Millimeter Wave MIMO Channel Estimation: A Neural Network Approach. SHILAP Revista de lepidopterología. 2. 1093–1108. 2 indexed citations
2.
Panahi, Ashkan, et al.. (2024). Double Averaging and Gradient Projection: Convergence Guarantees for Decentralized Constrained Optimization. IEEE Transactions on Automatic Control. 70(5). 3433–3440.
3.
Natalino, Carlos, Ashkan Panahi, Nasser Mohammadiha, & Paolo Monti. (2023). AI/ML-as-a-Service for optical network automation: use cases and challenges [Invited]. Journal of Optical Communications and Networking. 16(2). A169–A169. 2 indexed citations
4.
Panahi, Ashkan, et al.. (2023). Sharing Pattern Submodels for Prediction with Missing Values. Proceedings of the AAAI Conference on Artificial Intelligence. 37(8). 9882–9890. 2 indexed citations
5.
Panahi, Ashkan, et al.. (2022). Analysis of Knowledge Transfer in Kernel Regime. Proceedings of the 31st ACM International Conference on Information & Knowledge Management. 1615–1624. 2 indexed citations
6.
Panahi, Ashkan, et al.. (2020). Robust Group Subspace Recovery: A New Approach for Multi-Modality Data Fusion. IEEE Sensors Journal. 20(20). 12307–12316. 2 indexed citations
7.
Panahi, Ashkan, Morteza Haghir Chehreghani, & Devdatt Dubhashi. (2019). Accelerated proximal incremental algorithm schemes for non-strongly convex functions. Theoretical Computer Science. 812. 203–213. 1 indexed citations
8.
Tran, Kenneth, et al.. (2019). Nonlinear Multi-scale Super-resolution Using Deep Learning. Chalmers Research (Chalmers University of Technology). 3182–3186. 3 indexed citations
9.
Panahi, Ashkan, et al.. (2018). Information Subspace-Based Fusion for Vehicle Classification. 1612–1616. 3 indexed citations
10.
Panahi, Ashkan, Xiao Bian, Hamid Krim, & Liyi Dai. (2018). Robust Subspace Clustering by Bi-Sparsity Pursuit: Guarantees and Sequential Algorithm. Chalmers Research (Chalmers University of Technology). 14. 1302–1311.
11.
Panahi, Ashkan, et al.. (2018). Fusion of Community Structures in Multiplex Networks by Label Constraints. Chalmers Research (Chalmers University of Technology). 887–891. 2 indexed citations
12.
Panahi, Ashkan & Mats Viberg. (2017). Performance Analysis of Sparsity-Based Parameter Estimation. IEEE Transactions on Signal Processing. 65(24). 6478–6488. 4 indexed citations
13.
Panahi, Ashkan, Devdatt Dubhashi, Fredrik Johansson, & Chiranjib Bhattacharyya. (2017). Clustering by Sum of Norms: Stochastic Incremental Algorithm, Convergence and Cluster Recovery. Chalmers Research (Chalmers University of Technology). 70. 2769–2777. 14 indexed citations
14.
Panahi, Ashkan & Babak Hassibi. (2017). A Universal Analysis of Large-Scale Regularized Least Squares Solutions. CaltechAUTHORS (California Institute of Technology). 30. 3381–3390. 11 indexed citations
15.
Panahi, Ashkan, Mats Viberg, & Babak Hassibi. (2015). A numerical implementation of gridless compressed sensing. Chalmers Research (Chalmers University of Technology). 38. 3342–3346. 7 indexed citations
16.
Thrampoulidis, Christos, Ashkan Panahi, & Babak Hassibi. (2015). Asymptotically exact error analysis for the generalized equation-LASSO. CaltechAUTHORS (California Institute of Technology). 2021–2025. 15 indexed citations
17.
Panahi, Ashkan, et al.. (2014). Recovering signals with variable sparsity levels from the noisy 1-bit compressive measurements. Chalmers Research (Chalmers University of Technology). 6454–6458. 10 indexed citations
18.
Panahi, Ashkan, et al.. (2012). A robust RFPI-based 1-bit compressive sensing reconstruction algorithm. Chalmers Research (Chalmers University of Technology). 567–571. 35 indexed citations
19.
Panahi, Ashkan & Mats Viberg. (2012). A robust ℓ1 penalized DOA estimator. Chalmers Research (Chalmers University of Technology). 2013–2017.
20.
Panahi, Ashkan & Mats Viberg. (2011). Maximum a posteriori based regularization parameter selection. Chalmers Research (Chalmers University of Technology). 2452–2455. 7 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Farzan Haddadi Breakdown of academic impact, for papers by Meenu Rani Breakdown of academic impact, for papers by R. B. Deshmukh Breakdown of academic impact, for papers by Ning Fu Breakdown of academic impact, for papers by Shuhong Jiao Breakdown of academic impact, for papers by Dominique Pastor Breakdown of academic impact, for papers by F. Castanié Breakdown of academic impact, for papers by Mark Borgerding Breakdown of academic impact, for papers by Youwen Zhang
Rankless by CCL
2026