Salar Fattahi
- Control and Systems Engineering top 10%
- Electrical and Electronic Engineering
- Artificial Intelligence
- Computer Networks and Communications
- Computational Mechanics
- Co-authors
- Javad LavaeiSomayeh SojoudiAlper AtamtürkMorteza AshraphijuoMurat ArcakNikolai MatniMohsen NazariRichard Y. Zhang
- Topics
- Sparse and Compressive Sensing Techniques (7 papers)Optimal Power Flow Distribution (6 papers)Stability and Control of Uncertain Systems (6 papers)
- Partner nations
- United StatesSwitzerlandIran
In The Last Decade
Salar Fattahi
25 papers receiving 201 citations
Peers
Comparison fields: 5 of 37
- Control and Systems Engineering 86
- Electrical and Electronic Engineering 76
- Artificial Intelligence 37
- Computer Networks and Communications 33
- Computational Mechanics 33
Countries citing papers authored by Salar Fattahi
This map shows the geographic impact of Salar Fattahi'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 Salar Fattahi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Salar Fattahi more than expected).
Fields of papers citing papers by Salar Fattahi
This network shows the impact of papers produced by Salar Fattahi. 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 Salar Fattahi. The network helps show where Salar Fattahi may publish in the future.
Co-authorship network of co-authors of Salar Fattahi
This figure shows the co-authorship network connecting the top 25 collaborators of Salar Fattahi. A scholar is included among the top collaborators of Salar Fattahi 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 Salar Fattahi. Salar Fattahi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | Scalable Inference of Sparsely-changing Gaussian Markov Random Fields | 1 |
| 3 | 1 | |
| 4 | 8 | |
| 5 | Exact Guarantees on the Absence of Spurious Local Minima for Non-negative Rank-1 Robust Principal Component Analysis | 7 |
| 6 | 19 | |
| 7 | 6 | |
| 8 | 3 | |
| 9 | 18 | |
| 10 | 1 | |
| 11 | 23 | |
| 12 | 2 | |
| 13 | 5 | |
| 14 | 7 | |
| 15 | 1 | |
| 16 | 10 | |
| 17 | 36 | |
| 18 | 4 | |
| 19 | 9 | |
| 20 | 4 |
About Salar Fattahi
Salar Fattahi is a scholar working on Numerical Analysis, Control and Systems Engineering and Statistics and Probability, having authored 26 papers that have together received 208 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (7 papers), Optimal Power Flow Distribution (6 papers) and Stability and Control of Uncertain Systems (6 papers). The work is most often cited by research in Numerical Analysis (25 citations), Control and Systems Engineering (86 citations) and Computational Theory and Mathematics (31 citations). Salar Fattahi has collaborated with scholars based in United States, Switzerland and Iran. Frequent co-authors include Javad Lavaei, Somayeh Sojoudi, Alper Atamtürk, Morteza Ashraphijuo, Murat Arcak, Nikolai Matni, Mohsen Nazari, Richard Y. Zhang, Andrés Gómez and Si̇mge Küçükyavuz. Their work appears in journals such as IEEE Transactions on Automatic Control, IEEE Access and Energy.
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.