Ali Sayed
Impact in
- Signal Processing top 0.01%
- Blind Source Separation Techniques
- Speech and Audio Processing
- Computational Mechanics top 0.01%
- Advanced Adaptive Filtering Techniques
Papers in
-
- Distributed Control Multi-Agent Systems 116
- Distributed Sensor Networks and Detection Algorithms 101
- Neural Networks Stability and Synchronization 64
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- Advanced Adaptive Filtering Techniques 199
- Co-authors
- Federico S. Cattivelli (18 shared papers)Cassio Guimaraes Lopes (20 shared papers)T. Kailath (52 shared papers)A. Tarighat (27 shared papers)Zhi Quan (14 shared papers)Jianshu Chen (26 shared papers)Shuguang Robert Cui (7 shared papers)Sheng-Yuan Tu (19 shared papers)
- Journals
- IEEE Transactions on Signal Processing (104 papers)IEEE Transactions on Automatic Control (20 papers)IEEE Signal Processing Magazine (17 papers)IEEE Signal Processing Letters (12 papers)IEEE Transactions on Information Theory (10 papers)
- Partner nations
- United StatesSwitzerlandItaly
In The Last Decade
Ali Sayed
595 papers receiving 27.4k citations
Ali Sayed's Hit Papers
Peers
Comparison fields: 5 of 142
- Signal Processing 9.3k
- Computational Mechanics 13.3k
- Computer Networks and Communications 12.1k
- Artificial Intelligence 6.7k
- Control and Systems Engineering 3.3k
Countries citing papers authored by Ali Sayed
This map shows the geographic impact of Ali 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 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 Sayed more than expected).
Fields of papers citing papers by Ali Sayed
This network shows the impact of papers produced by Ali 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 Sayed. The network helps show where Ali Sayed may publish in the future.
Co-authors
The 25 scholars most cited alongside Ali Sayed, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 641 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Fundamentals of adaptive filtering Hit paper breakdown → | 2003 | 1357 |
| 2 | Diffusion LMS Strategies for Distributed Estimation Hit paper breakdown → | 2009 | 954 |
| 3 | Diffusion Least-Mean Squares Over Adaptive Networks: Formulation and Performance Analysis Hit paper breakdown → | 2008 | 891 |
| 4 | Optimal Linear Cooperation for Spectrum Sensing in Cognitive Radio Networks Hit paper breakdown → | 2008 | 824 |
| 5 | Adaptive Filters Hit paper breakdown → | 2008 | 779 |
| 6 | Diffusion Strategies for Distributed Kalman Filtering and Smoothing Hit paper breakdown → | 2010 | 707 |
| 7 | Adaptive Filters Hit paper breakdown → | 2008 | 696 |
| 8 | A Leakage-Based Precoding Scheme for Downlink Multi-User MIMO Channels Hit paper breakdown → | 2007 | 641 |
| 9 | Incremental Adaptive Strategies Over Distributed Networks Hit paper breakdown → | 2007 | 592 |
| 10 | Optimal Multiband Joint Detection for Spectrum Sensing in Cognitive Radio Networks Hit paper breakdown → | 2008 | 583 |
| 11 | Adaptation, Learning, and Optimization over Networks Hit paper breakdown → | 2014 | 539 |
| 12 | Diffusion Adaptation Strategies for Distributed Optimization and Learning Over Networks Hit paper breakdown → | 2012 | 520 |
| 13 | Diffusion recursive least-squares for distributed estimation over adaptive networks Hit paper breakdown → | 2008 | 511 |
| 14 | Adaptive Networks Hit paper breakdown → | 2014 | 466 |
| 15 | 2004 | 405 | |
| 16 | Diffusion strategies for adaptation and learning over networks: an examination of distributed strategies and network behavior Hit paper breakdown → | 2013 | 388 |
| 17 | 1999 | 384 | |
| 18 | Diffusion Strategies Outperform Consensus Strategies for Distributed Estimation Over Adaptive Networks Hit paper breakdown → | 2012 | 380 |
| 19 | 1994 | 345 | |
| 20 | 1995 | 331 |
About Ali Sayed
Ali Sayed is a scholar working on Computer Networks and Communications, Computational Mechanics, Signal Processing, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 641 papers that have together received 28.4k indexed citations. Recurring topics across this work include Advanced Adaptive Filtering Techniques (199 papers), Distributed Control Multi-Agent Systems (116 papers), Distributed Sensor Networks and Detection Algorithms (101 papers), Target Tracking and Data Fusion in Sensor Networks (69 papers), Blind Source Separation Techniques (67 papers), Neural Networks Stability and Synchronization (64 papers), Control Systems and Identification (60 papers) and Opinion Dynamics and Social Influence (58 papers). The work is most often cited by research in Signal Processing (9.3k citations), Computational Mechanics (13.3k citations), Computer Networks and Communications (12.1k citations), Artificial Intelligence (6.7k citations) and Control and Systems Engineering (3.3k citations). Ali Sayed has collaborated with scholars based in United States, Switzerland and Italy. Frequent co-authors include Federico S. Cattivelli, Cassio Guimaraes Lopes, T. Kailath, A. Tarighat, Zhi Quan, Jianshu Chen, Shuguang Robert Cui, Sheng-Yuan Tu, Xiaochuan Zhao and Mirette Sadek. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Automatic Control, IEEE Signal Processing Magazine, IEEE Signal Processing Letters and IEEE Transactions on Information Theory.
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.