Ali H. 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 105
- Distributed Sensor Networks and Detection Algorithms 95
- Neural Networks Stability and Synchronization 62
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- Advanced Adaptive Filtering Techniques 195
- Co-authors
- Federico S. Cattivelli (18 shared papers)Cássio G. Lopes (20 shared papers)T. Kailath (52 shared papers)A. Tarighat (27 shared papers)Zhi Quan (15 shared papers)Jianshu Chen (27 shared papers)Shuguang Cui (7 shared papers)Sheng-Yuan Tu (19 shared papers)
- Journals
- IEEE Transactions on Signal Processing (103 papers)IEEE Signal Processing Magazine (17 papers)IEEE Transactions on Automatic Control (14 papers)IEEE Signal Processing Letters (12 papers)IEEE Transactions on Signal and Information Processing over Networks (9 papers)
- Partner nations
- United StatesSwitzerlandItaly
In The Last Decade
Ali H. Sayed
578 papers receiving 26.4k citations
Ali H. Sayed's Hit Papers
Peers
Comparison fields: 5 of 141
- Signal Processing 9.3k
- Computational Mechanics 13.0k
- Computer Networks and Communications 11.6k
- Artificial Intelligence 6.3k
- Control and Systems Engineering 3.3k
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-authors
The 25 scholars most cited alongside Ali H. 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 618 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Fundamentals of adaptive filtering Hit paper breakdown → | 2003 | 1362 |
| 2 | Diffusion LMS Strategies for Distributed Estimation Hit paper breakdown → | 2009 | 922 |
| 3 | Diffusion Least-Mean Squares Over Adaptive Networks: Formulation and Performance Analysis Hit paper breakdown → | 2008 | 864 |
| 4 | Optimal Linear Cooperation for Spectrum Sensing in Cognitive Radio Networks Hit paper breakdown → | 2008 | 822 |
| 5 | Adaptive Filters Hit paper breakdown → | 2008 | 771 |
| 6 | Diffusion Strategies for Distributed Kalman Filtering and Smoothing Hit paper breakdown → | 2010 | 688 |
| 7 | Adaptive Filters Hit paper breakdown → | 2008 | 680 |
| 8 | A Leakage-Based Precoding Scheme for Downlink Multi-User MIMO Channels Hit paper breakdown → | 2007 | 631 |
| 9 | Optimal Multiband Joint Detection for Spectrum Sensing in Cognitive Radio Networks Hit paper breakdown → | 2008 | 583 |
| 10 | Incremental Adaptive Strategies Over Distributed Networks Hit paper breakdown → | 2007 | 571 |
| 11 | Diffusion recursive least-squares for distributed estimation over adaptive networks Hit paper breakdown → | 2008 | 500 |
| 12 | Diffusion Adaptation Strategies for Distributed Optimization and Learning Over Networks Hit paper breakdown → | 2012 | 494 |
| 13 | Adaptation, Learning, and Optimization over Networks Hit paper breakdown → | 2014 | 490 |
| 14 | Adaptive Networks Hit paper breakdown → | 2014 | 437 |
| 15 | 2004 | 402 | |
| 16 | 1999 | 383 | |
| 17 | Diffusion strategies for adaptation and learning over networks: an examination of distributed strategies and network behavior Hit paper breakdown → | 2013 | 364 |
| 18 | Diffusion Strategies Outperform Consensus Strategies for Distributed Estimation Over Adaptive Networks Hit paper breakdown → | 2012 | 357 |
| 19 | 1994 | 347 | |
| 20 | 1995 | 334 |
About Ali H. Sayed
Ali H. Sayed is a scholar working on Computer Networks and Communications, Computational Mechanics, Artificial Intelligence, Electrical and Electronic Engineering and Signal Processing, having authored 618 papers that have together received 27.5k indexed citations. Recurring topics across this work include Advanced Adaptive Filtering Techniques (195 papers), Distributed Control Multi-Agent Systems (105 papers), Distributed Sensor Networks and Detection Algorithms (95 papers), Target Tracking and Data Fusion in Sensor Networks (69 papers), Blind Source Separation Techniques (67 papers), Neural Networks Stability and Synchronization (62 papers), Control Systems and Identification (60 papers) and Opinion Dynamics and Social Influence (54 papers). The work is most often cited by research in Signal Processing (9.3k citations), Computational Mechanics (13.0k citations), Computer Networks and Communications (11.6k citations), Artificial Intelligence (6.3k citations) and Control and Systems Engineering (3.3k citations). Ali H. Sayed has collaborated with scholars based in United States, Switzerland and Italy. Frequent co-authors include Federico S. Cattivelli, Cássio G. Lopes, T. Kailath, A. Tarighat, Zhi Quan, Jianshu Chen, Shuguang Cui, Sheng-Yuan Tu, Xiaochuan Zhao and Mirette Sadek. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Signal Processing Magazine, IEEE Transactions on Automatic Control, IEEE Signal Processing Letters and IEEE Transactions on Signal and Information Processing over Networks.
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.