Ramzi A. Jaber
- Electrical and Electronic Engineering
- Computational Theory and Mathematics top 5%
- Biomedical Engineering
- Materials Chemistry
- Artificial Intelligence
- Co-authors
- Ali Massoud HaidarAbdallah KassemAhmad M. El‐HajjSomaya Al-MáadeedJihad Mohamad Alja’amFurqan ZahoorDaniel EtiembleFaisal Bashir
- Topics
- Low-power high-performance VLSI design (14 papers)Advancements in Semiconductor Devices and Circuit Design (12 papers)Quantum-Dot Cellular Automata (9 papers)
- Cited by
- Computational Theory and MathematicsElectrical and Electronic EngineeringBiomedical Engineering
- Journals
- IEEE AccessSensorsMicromachines
In The Last Decade
Ramzi A. Jaber
17 papers receiving 270 citations
Peers
Comparison fields: 5 of 19
- Electrical and Electronic Engineering 258
- Computational Theory and Mathematics 108
- Biomedical Engineering 70
- Materials Chemistry 40
- Artificial Intelligence 21
Countries citing papers authored by Ramzi A. Jaber
This map shows the geographic impact of Ramzi A. Jaber'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 Ramzi A. Jaber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ramzi A. Jaber more than expected).
Fields of papers citing papers by Ramzi A. Jaber
This network shows the impact of papers produced by Ramzi A. Jaber. 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 Ramzi A. Jaber. The network helps show where Ramzi A. Jaber may publish in the future.
Co-authorship network of co-authors of Ramzi A. Jaber
This figure shows the co-authorship network connecting the top 25 collaborators of Ramzi A. Jaber. A scholar is included among the top collaborators of Ramzi A. Jaber 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 Ramzi A. Jaber. Ramzi A. Jaber 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 | 4 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 10 | |
| 6 | 2 | |
| 7 | 12 | |
| 8 | 2 | |
| 9 | 29 | |
| 10 | 29 | |
| 11 | 10 | |
| 12 | 6 | |
| 13 | 10 | |
| 14 | 10 | |
| 15 | 30 | |
| 16 | 100 | |
| 17 | 9 | |
| 18 | 10 | |
| 19 | 0 | |
| 20 | 1 |
About Ramzi A. Jaber
Ramzi A. Jaber is a scholar working on Computational Theory and Mathematics, Electrical and Electronic Engineering and Physical Therapy, Sports Therapy and Rehabilitation, having authored 20 papers that have together received 275 indexed citations. Recurring topics across this work include Low-power high-performance VLSI design (14 papers), Advancements in Semiconductor Devices and Circuit Design (12 papers) and Quantum-Dot Cellular Automata (9 papers). The work is most often cited by research in Computational Theory and Mathematics (108 citations), Electrical and Electronic Engineering (258 citations) and Biomedical Engineering (70 citations). Ramzi A. Jaber has collaborated with scholars based in Lebanon, Qatar and Malaysia. Frequent co-authors include Ali Massoud Haidar, Abdallah Kassem, Ahmad M. El‐Hajj, Somaya Al-Máadeed, Jihad Mohamad Alja’am, Furqan Zahoor, Daniel Etiemble, Faisal Bashir, Usman Isyaku Bature and Haider Abbas. Their work appears in journals such as IEEE Access, Sensors and Micromachines.
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.