Mario Bkassiny
- Computer Networks and Communications top 2%
- Electrical and Electronic Engineering top 10%
- Artificial Intelligence top 10%
- Aerospace Engineering top 10%
- Signal Processing top 5%
- Co-authors
- Sudharman K. JayaweeraYang LiKeith AveryChristos G. ChristodoulouChadi Abou‐RjeilyY. TawkAli El‐HajjMohammed Al‐Husseini
- Topics
- Cognitive Radio Networks and Spectrum Sensing (15 papers)Distributed Sensor Networks and Detection Algorithms (7 papers)Ultra-Wideband Communications Technology (5 papers)
- Journals
- IEEE Communications Surveys & TutorialsFertility and SterilityIEEE Transactions on Wireless Communications
- Partner nations
- United StatesLebanon
In The Last Decade
Mario Bkassiny
22 papers receiving 779 citations
Hit Papers
Peers
Comparison fields: 5 of 55
- Computer Networks and Communications 566
- Electrical and Electronic Engineering 484
- Artificial Intelligence 180
- Aerospace Engineering 151
- Signal Processing 110
Countries citing papers authored by Mario Bkassiny
This map shows the geographic impact of Mario Bkassiny'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 Mario Bkassiny with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Bkassiny more than expected).
Fields of papers citing papers by Mario Bkassiny
This network shows the impact of papers produced by Mario Bkassiny. 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 Mario Bkassiny. The network helps show where Mario Bkassiny may publish in the future.
Co-authorship network of co-authors of Mario Bkassiny
This figure shows the co-authorship network connecting the top 25 collaborators of Mario Bkassiny. A scholar is included among the top collaborators of Mario Bkassiny 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 Mario Bkassiny. Mario Bkassiny is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 16 | |
| 3 | 11 | |
| 4 | 2 | |
| 5 | 14 | |
| 6 | A Survey on Machine-Learning Techniques in Cognitive Radiosbreakdown → | 425 |
| 7 | 7 | |
| 8 | 23 | |
| 9 | 37 | |
| 10 | 1 | |
| 11 | 60 | |
| 12 | 10 | |
| 13 | 28 | |
| 14 | 73 | |
| 15 | 11 | |
| 16 | 6 | |
| 17 | 3 | |
| 18 | 16 | |
| 19 | 5 | |
| 20 | 0 |
About Mario Bkassiny
Mario Bkassiny is a scholar working on Computer Networks and Communications, Management Information Systems and Electrical and Electronic Engineering, having authored 24 papers that have together received 810 indexed citations. Recurring topics across this work include Cognitive Radio Networks and Spectrum Sensing (15 papers), Distributed Sensor Networks and Detection Algorithms (7 papers) and Ultra-Wideband Communications Technology (5 papers). The work is most often cited by research in Computer Networks and Communications (566 citations), Signal Processing (110 citations) and Electrical and Electronic Engineering (484 citations). Mario Bkassiny has collaborated with scholars based in United States and Lebanon. Frequent co-authors include Sudharman K. Jayaweera, Yang Li, Keith Avery, Christos G. Christodoulou, Chadi Abou‐Rjeily, Y. Tawk, Ali El‐Hajj, Mohammed Al‐Husseini, Chittabrata Ghosh and Lucinda L. Veeck. Their work appears in journals such as IEEE Communications Surveys & Tutorials, Fertility and Sterility and IEEE Transactions on Wireless Communications.
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.