Nour El Madhoun

635 citations
21 papers · 197 indexed · 1 hit paper · h-index 7

Nour El Madhoun

21 papers receiving 189 citations

Hit Papers

Graph Neural Networks for Intrusion Detection: A Survey692023202620242025204060

Peers

Nour El Madhoun
Comparison fields: 5 of 32
  • Signal Processing 65
  • Computer Networks and Communications 108
  • Information Systems 92
  • Artificial Intelligence 104
  • Computer Vision and Pattern Recognition 19
Replace Rahat Masood with:
Rahat Masood Australia
André Årnes Norway
Sari Sultan Kuwait
Mohamed Belaoued Algeria
Mohamed Dâfir Ech-Cherif El Kettani Morocco
Yassine Sadqi Morocco
Jeffrey Spaulding United States
Hazar Harmouch Germany
Atsuo Inomata Japan
Narasimha Shashidhar United States
Nour El Madhoun relative to Rahat Masood Australia Rahat Masood's profile →
Citations per field
00.5×4.5×
Rahat Masood · 1×
Citations per year

Countries citing papers authored by Nour El Madhoun

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 11 scholars most cited alongside Nour El Madhoun, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Nour El Madhoun Line = papers co-authored together Nour El Madhoun links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202416
2 20242
3 20243
4 20241
5 20248
6 20242
7
Graph Neural Networks for Intrusion Detection: A Surveybreakdown →
202369
8 202318
9 20231
10 20233
11 20233
12 20235
13 20225
14 202234
15 20226
16 20226
17 20221
18 20211
19 20203
20 20172

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), Advanced Malware Detection Techniques (4 papers), User Authentication and Security Systems (3 papers), FinTech, Crowdfunding, Digital Finance (3 papers), Art History and Market Analysis (2 papers), Advanced Authentication Protocols Security (2 papers) and Internet Traffic Analysis and Secure E-voting (2 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.

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