Fathi M. Salem
- Electrical and Electronic Engineering
- Signal Processing top 10%
- Artificial Intelligence
- Computer Networks and Communications
- Computer Vision and Pattern Recognition
- Co-authors
- Zaid AlbatainehYuzhen LuKhurram WaheedUchechukwu C. WejinyaYantao ShenJehad AbabnehChao YangNing Xi
- Topics
- Blind Source Separation Techniques (9 papers)Advanced Adaptive Filtering Techniques (6 papers)Wireless Communication Networks Research (6 papers)
- Journals
- Neural Processing LettersCircuits Systems and Signal ProcessingInternational Journal of Speech Technology
- Partner nations
- United StatesJordanGermany
In The Last Decade
Fathi M. Salem
23 papers receiving 231 citations
Peers
Comparison fields: 5 of 78
- Electrical and Electronic Engineering 71
- Signal Processing 64
- Artificial Intelligence 58
- Computer Networks and Communications 37
- Computer Vision and Pattern Recognition 31
Countries citing papers authored by Fathi M. Salem
This map shows the geographic impact of Fathi M. Salem'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 Fathi M. Salem with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fathi M. Salem more than expected).
Fields of papers citing papers by Fathi M. Salem
This network shows the impact of papers produced by Fathi M. Salem. 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 Fathi M. Salem. The network helps show where Fathi M. Salem may publish in the future.
Co-authorship network of co-authors of Fathi M. Salem
This figure shows the co-authorship network connecting the top 25 collaborators of Fathi M. Salem. A scholar is included among the top collaborators of Fathi M. Salem 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 Fathi M. Salem. Fathi M. Salem is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 68 | |
| 2 | 3 | |
| 3 | 28 | |
| 4 | 13 | |
| 5 | 15 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | Linear Phase FIR Low Pass Filter Design Using Hybrid- Differential Evolution | 7 |
| 10 | 2 | |
| 11 | 0 | |
| 12 | 4 | |
| 13 | 7 | |
| 14 | 3 | |
| 15 | 1 | |
| 16 | 4 | |
| 17 | 2 | |
| 18 | ALGEBRAIC OVERCOMPLETE INDEPENDENT COMPONENT ANALYSIS | 18 |
| 19 | 1 | |
| 20 | Blind Multi User Detection in DS-CDMA Systems using Natural Gradient based Symbol Recovery Structures | 5 |
About Fathi M. Salem
Fathi M. Salem is a scholar working on Signal Processing, Computer Networks and Communications and Computational Mechanics, having authored 26 papers that have together received 237 indexed citations. Recurring topics across this work include Blind Source Separation Techniques (9 papers), Advanced Adaptive Filtering Techniques (6 papers) and Wireless Communication Networks Research (6 papers). The work is most often cited by research in Signal Processing (64 citations), Artificial Intelligence (58 citations) and Computer Networks and Communications (37 citations). Fathi M. Salem has collaborated with scholars based in United States, Jordan and Germany. Frequent co-authors include Zaid Albataineh, Yuzhen Lu, Khurram Waheed, Uchechukwu C. Wejinya, Yantao Shen, Jehad Ababneh, Chao Yang and Ning Xi. Their work appears in journals such as Neural Processing Letters, Circuits Systems and Signal Processing and International Journal of Speech Technology.
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.