Nour El Madhoun
- Computer Networks and Communications top 10%
- Artificial Intelligence top 10%
- Information Systems top 10%
- Signal Processing top 10%
- Computer Vision and Pattern Recognition
- Co-authors
- Khaldoun Al AghaMohamad BadraE. BertinBadis HammiRajendra PamulaParvez FarukiSajal BhatiaJenny Torres
- Topics
- Blockchain Technology Applications and Security (10 papers)Network Security and Intrusion Detection (5 papers)Advanced Malware Detection Techniques (4 papers)
- Partner nations
- FranceLebanonUnited States
In The Last Decade
Nour El Madhoun
21 papers receiving 189 citations
Hit Papers
Peers
Comparison fields: 5 of 32
- Computer Networks and Communications 108
- Artificial Intelligence 104
- Information Systems 92
- Signal Processing 65
- Computer Vision and Pattern Recognition 19
Countries citing papers authored by Nour El Madhoun
This map shows the geographic impact of Nour El Madhoun'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 Nour El Madhoun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nour El Madhoun more than expected).
Fields of papers citing papers by Nour El Madhoun
This network shows the impact of papers produced by Nour El Madhoun. 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 Nour El Madhoun. The network helps show where Nour El Madhoun may publish in the future.
Co-authorship network of co-authors of Nour El Madhoun
This figure shows the co-authorship network connecting the top 25 collaborators of Nour El Madhoun. A scholar is included among the top collaborators of Nour El Madhoun 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 Nour El Madhoun. Nour El Madhoun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 8 | |
| 6 | 2 | |
| 7 | Graph Neural Networks for Intrusion Detection: A Surveybreakdown → | 69 |
| 8 | 18 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | 3 | |
| 12 | 5 | |
| 13 | 5 | |
| 14 | 34 | |
| 15 | 6 | |
| 16 | 6 | |
| 17 | 1 | |
| 18 | 1 | |
| 19 | 3 | |
| 20 | 2 |
About Nour El Madhoun
Nour El Madhoun is a scholar working on Information Systems, Visual Arts and Performing Arts and Computer Networks and Communications, having authored 21 papers that have together received 197 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (10 papers), Network Security and Intrusion Detection (5 papers) and Advanced Malware Detection Techniques (4 papers). The work is most often cited by research in Signal Processing (65 citations), Computer Networks and Communications (108 citations) and Information Systems (92 citations). Nour El Madhoun has collaborated with scholars based in France, Lebanon and United States. Frequent co-authors include Khaldoun Al Agha, Mohamad Badra, E. Bertin, Badis Hammi, Rajendra Pamula, Parvez Faruki, Sajal Bhatia, Jenny Torres, Abeer Alsadoon and Guy Pujolle. Their work appears in journals such as IEEE Access, ACM Computing Surveys and Information.
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.