Nour Moustafa

16.5k citations
151 papers · 10.0k indexed · 11 hit papers · h-index 44

Impact in

Papers in

Nour Moustafa

146 papers receiving 9.5k citations

Hit Papers

An explainable deep learning-enabled intrusion detection framework in IoT networks 2023 · 102 citations
102201520262018202250010001.5k2.0k

Peers

Nour Moustafa
Comparison fields: 5 of 136
  • Signal Processing 4.0k
  • Computer Networks and Communications 7.7k
  • Artificial Intelligence 6.5k
  • Information Systems 1.9k
  • Control and Systems Engineering 1.2k
Replace Ali Dehghantanha with:
Ali Dehghantanha Canada
Wanlei Zhou Australia
Ali A. Ghorbani Canada
Yuval Elovici Israel
Zhihong Tian China
Reza M. Parizi United States
Patrick McDaniel United States
Jong Hyuk Park South Korea
Xiapu Luo Hong Kong
Javier López Spain
Nour Moustafa relative to Ali Dehghantanha Canada Ali Dehghantanha's profile →
Citations per field
00.5×1.5×1.9×
Ali Dehghantanha · 1×
Citations per year

Countries citing papers authored by Nour Moustafa

Since Specialization
Citations

This map shows the geographic impact of Nour Moustafa'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 Moustafa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nour Moustafa more than expected).

Fields of papers citing papers by Nour Moustafa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nour Moustafa. 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 Moustafa. The network helps show where Nour Moustafa may publish in the future.

Co-authors

The 25 scholars most cited alongside Nour Moustafa, 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 Moustafa Line = papers co-authored together Nour Moustafa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20243
2 202410
3 202414
4 202312
5 20235
6 20236
7 202241
8 202226
9 202213
10 202223
11 20221
12 202131
13 202135
14 202149
15 202147
16 202031
17 202084
18 202044
19 201813
20 201845

About Nour Moustafa

Nour Moustafa is a scholar working on Computer Networks and Communications, Signal Processing, Artificial Intelligence, Information Systems and Control and Systems Engineering, having authored 151 papers that have together received 10.0k indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (67 papers), Anomaly Detection Techniques and Applications (39 papers), Advanced Malware Detection Techniques (34 papers), Smart Grid Security and Resilience (23 papers), Privacy-Preserving Technologies in Data (22 papers), Internet Traffic Analysis and Secure E-voting (21 papers), Blockchain Technology Applications and Security (17 papers) and IoT and Edge/Fog Computing (16 papers). The work is most often cited by research in Signal Processing (4.0k citations), Computer Networks and Communications (7.7k citations), Artificial Intelligence (6.5k citations), Information Systems (1.9k citations) and Control and Systems Engineering (1.2k citations). Nour Moustafa has collaborated with scholars based in Australia, United States and Egypt. Frequent co-authors include Jill Slay, Benjamin Turnbull, Kim‐Kwang Raymond Choo, Elena Sitnikova, Zahir Tari, Nickolaos Koroniotis, Marwa Keshk, Jiankun Hu, Adnan Anwar and Muna Al-Hawawreh. Their work appears in journals such as IEEE Access, IEEE Transactions on Intelligent Transportation Systems, IEEE Internet of Things Journal, IEEE Transactions on Industrial Informatics and Ad Hoc Networks.

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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