Ali H. Sayed
About
In The Last Decade
Ali H. Sayed
546 papers receiving 25.3k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Computational Mechanics 12.5k
- Computer Networks and Communications 11.1k
- Signal Processing 8.9k
- Electrical and Electronic Engineering 7.2k
- Artificial Intelligence 6.0k
Countries citing papers authored by Ali H. Sayed
This map shows the geographic impact of Ali H. Sayed'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 H. Sayed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ali H. Sayed more than expected).
Fields of papers citing papers by Ali H. Sayed
This network shows the impact of papers produced by Ali H. Sayed. 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 H. Sayed. The network helps show where Ali H. Sayed may publish in the future.
Co-authorship network of co-authors of Ali H. Sayed
This figure shows the co-authorship network connecting the top 25 collaborators of Ali H. Sayed. A scholar is included among the top collaborators of Ali H. Sayed 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 H. Sayed. Ali H. Sayed 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 | 1 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 10 | |
| 6 | 12 | |
| 7 | 8 | |
| 8 | 34 | |
| 9 | 64 | |
| 10 | 26 | |
| 11 | 17 | |
| 12 | A Linearly Convergent Proximal Gradient Algorithm for Decentralized Optimization | 13 |
| 13 | 13 | |
| 14 | Convergence of Variance-Reduced Stochastic Learning under Random Reshuffling. | 2 |
| 15 | Cluster formation over adaptive networks with selfish agents | 4 |
| 16 | Distributed Learning via Diffusion Adaptation with Application to Ensemble Learning | 1 |
| 17 | State estimation with uncertain parametric models | 0 |
| 18 | An adaptive filter robust to data uncertainties | 2 |
| 19 | Hoo Optimality Criteria for LMS and Backpropagation | 9 |
| 20 | A high-performance cost-effective pole-zero MMSE-DFE | 17 |
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.