Ghassen Ben Brahim
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Neurology top 10%
- Co-authors
- Ala Al‐FuqahaGhazanfar LatifJaafar AlghazoAbul BasharD. N. F. Awang IskandarNazeeruddin MohammadBilal KhanSlim Belhaiza
- Topics
- Mobile Ad Hoc Networks (8 papers)Cooperative Communication and Network Coding (8 papers)Online Learning and Analytics (5 papers)
- Partner nations
- Saudi ArabiaUnited StatesLebanon
In The Last Decade
Ghassen Ben Brahim
46 papers receiving 384 citations
Peers
Comparison fields: 5 of 80
- Artificial Intelligence 123
- Computer Networks and Communications 112
- Computer Vision and Pattern Recognition 86
- Electrical and Electronic Engineering 72
- Neurology 64
Countries citing papers authored by Ghassen Ben Brahim
This map shows the geographic impact of Ghassen Ben Brahim'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 Ghassen Ben Brahim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ghassen Ben Brahim more than expected).
Fields of papers citing papers by Ghassen Ben Brahim
This network shows the impact of papers produced by Ghassen Ben Brahim. 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 Ghassen Ben Brahim. The network helps show where Ghassen Ben Brahim may publish in the future.
Co-authorship network of co-authors of Ghassen Ben Brahim
This figure shows the co-authorship network connecting the top 25 collaborators of Ghassen Ben Brahim. A scholar is included among the top collaborators of Ghassen Ben Brahim 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 Ghassen Ben Brahim. Ghassen Ben Brahim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 9 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 11 | |
| 8 | 5 | |
| 9 | 2 | |
| 10 | 37 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 3 | |
| 14 | 1 | |
| 15 | 6 | |
| 16 | 11 | |
| 17 | 4 | |
| 18 | 2 | |
| 19 | 1 | |
| 20 | 2 |
About Ghassen Ben Brahim
Ghassen Ben Brahim is a scholar working on Computer Science Applications, Computer Networks and Communications and Artificial Intelligence, having authored 49 papers that have together received 415 indexed citations. Recurring topics across this work include Mobile Ad Hoc Networks (8 papers), Cooperative Communication and Network Coding (8 papers) and Online Learning and Analytics (5 papers). The work is most often cited by research in Computer Science Applications (51 citations), Neurology (64 citations) and Health Informatics (8 citations). Ghassen Ben Brahim has collaborated with scholars based in Saudi Arabia, United States and Lebanon. Frequent co-authors include Ala Al‐Fuqaha, Ghazanfar Latif, Jaafar Alghazo, Abul Bashar, D. N. F. Awang Iskandar, Nazeeruddin Mohammad, Bilal Khan, Slim Belhaiza, Rym M’Hallah and Ilyes Jenhani. Their work appears in journals such as Scientific Reports, IEEE Access and IEEE Journal on Selected Areas in 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.