Wael M. Bazzi
- Electrical and Electronic Engineering top 10%
- Computer Networks and Communications top 10%
- Computational Mechanics top 10%
- Signal Processing top 10%
- Artificial Intelligence
- Co-authors
- Azam KhaliliAmir RastegarniaSaeid SaneiJonathan Rodrı́guezKazi Mohammed Saidul HuqXiongwen ZhaoDouglas SickerZhenyu Zhou
- Topics
- Advanced Adaptive Filtering Techniques (21 papers)Blind Source Separation Techniques (15 papers)Speech and Audio Processing (10 papers)
- Journals
- IEEE Transactions on Industrial ElectronicsIEEE Transactions on Intelligent Transportation SystemsIEEE Transactions on Industrial Informatics
- Partner nations
- United Arab EmiratesIranUnited Kingdom
In The Last Decade
Wael M. Bazzi
31 papers receiving 503 citations
Peers
Comparison fields: 5 of 55
- Electrical and Electronic Engineering 320
- Computer Networks and Communications 135
- Computational Mechanics 118
- Signal Processing 98
- Artificial Intelligence 82
Countries citing papers authored by Wael M. Bazzi
This map shows the geographic impact of Wael M. Bazzi'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 Wael M. Bazzi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wael M. Bazzi more than expected).
Fields of papers citing papers by Wael M. Bazzi
This network shows the impact of papers produced by Wael M. Bazzi. 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 Wael M. Bazzi. The network helps show where Wael M. Bazzi may publish in the future.
Co-authorship network of co-authors of Wael M. Bazzi
This figure shows the co-authorship network connecting the top 25 collaborators of Wael M. Bazzi. A scholar is included among the top collaborators of Wael M. Bazzi 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 Wael M. Bazzi. Wael M. Bazzi 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 | 12 | |
| 3 | 3 | |
| 4 | 16 | |
| 5 | 125 | |
| 6 | 29 | |
| 7 | 12 | |
| 8 | 152 | |
| 9 | 12 | |
| 10 | 11 | |
| 11 | 18 | |
| 12 | 4 | |
| 13 | 22 | |
| 14 | 4 | |
| 15 | A Distributed Algorithm for In-Network Adaptive Estimation Using Incremental Aggregated Gradient | 1 |
| 16 | 3 | |
| 17 | 5 | |
| 18 | 16 | |
| 19 | 1 | |
| 20 | 2 |
About Wael M. Bazzi
Wael M. Bazzi is a scholar working on Signal Processing, Computational Mechanics and Computer Networks and Communications, having authored 32 papers that have together received 524 indexed citations. Recurring topics across this work include Advanced Adaptive Filtering Techniques (21 papers), Blind Source Separation Techniques (15 papers) and Speech and Audio Processing (10 papers). The work is most often cited by research in Signal Processing (98 citations), Computer Networks and Communications (135 citations) and Computational Mechanics (118 citations). Wael M. Bazzi has collaborated with scholars based in United Arab Emirates, Iran and United Kingdom. Frequent co-authors include Azam Khalili, Amir Rastegarnia, Saeid Sanei, Jonathan Rodrı́guez, Kazi Mohammed Saidul Huq, Xiongwen Zhao, Douglas Sicker, Zhenyu Zhou, Valerio Frascolla and Sherif Adeshina Busari. Their work appears in journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Intelligent Transportation Systems and IEEE Transactions on Industrial Informatics.
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.