Ali Ahmed
- Computational Mechanics top 5%
- Signal Processing top 5%
- Computer Vision and Pattern Recognition top 10%
- Biomedical Engineering
- Electrical and Electronic Engineering
- Co-authors
- Justin RombergBenjamin RechtFahad ShamshadLaurent DemanetSaeed‐Ul HassanMuhammad AwaisMuhammad AsimPaul Hand
- Topics
- Sparse and Compressive Sensing Techniques (13 papers)Blind Source Separation Techniques (6 papers)Image and Signal Denoising Methods (5 papers)
- Journals
- IEEE Transactions on Information TheoryIEEE Transactions on Signal ProcessingIEEE Sensors Journal
- Partner nations
- PakistanUnited StatesSouth Korea
In The Last Decade
Ali Ahmed
22 papers receiving 320 citations
Peers
Comparison fields: 5 of 59
- Computational Mechanics 202
- Signal Processing 124
- Computer Vision and Pattern Recognition 101
- Biomedical Engineering 76
- Electrical and Electronic Engineering 45
Countries citing papers authored by Ali Ahmed
This map shows the geographic impact of Ali Ahmed'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 Ali Ahmed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ali Ahmed more than expected).
Fields of papers citing papers by Ali Ahmed
This network shows the impact of papers produced by Ali Ahmed. 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 Ali Ahmed. The network helps show where Ali Ahmed may publish in the future.
Co-authorship network of co-authors of Ali Ahmed
This figure shows the co-authorship network connecting the top 25 collaborators of Ali Ahmed. A scholar is included among the top collaborators of Ali Ahmed 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 Ali Ahmed. Ali Ahmed is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 4 | |
| 5 | 17 | |
| 6 | 15 | |
| 7 | 4 | |
| 8 | 3 | |
| 9 | Solving Bilinear Inverse Problems using Deep Generative Priors. | 6 |
| 10 | 2 | |
| 11 | 8 | |
| 12 | 3 | |
| 13 | 10 | |
| 14 | 221 | |
| 15 | 2 | |
| 16 | 3 | |
| 17 | 6 | |
| 18 | 7 | |
| 19 | 1 | |
| 20 | 5 |
About Ali Ahmed
Ali Ahmed is a scholar working on Signal Processing, Computational Mechanics and Computer Vision and Pattern Recognition, having authored 23 papers that have together received 331 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (13 papers), Blind Source Separation Techniques (6 papers) and Image and Signal Denoising Methods (5 papers). The work is most often cited by research in Computational Mathematics (9 citations), Signal Processing (124 citations) and Computational Mechanics (202 citations). Ali Ahmed has collaborated with scholars based in Pakistan, United States and South Korea. Frequent co-authors include Justin Romberg, Benjamin Recht, Fahad Shamshad, Laurent Demanet, Saeed‐Ul Hassan, Muhammad Awais, Muhammad Asim, Paul Hand, Saad Ali and Alireza Aghasi. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Transactions on Signal Processing and IEEE Sensors Journal.
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.