Mohanad Sarhan

2.0k citations
14 papers · 807 · 1 hit paper · h-index 12

Impact in

Papers in

Mohanad Sarhan

14 papers receiving 791 citations

Mohanad Sarhan's Hit Papers

E-GraphSAGE: A Graph Neural Network based Intrusion Detection System for IoT 2022 · 186 citations
1860+1+2Years since publication50100150

Peers

Mohanad Sarhan
Comparison fields: 5 of 49
  • Signal Processing 314
  • Computer Networks and Communications 616
  • Artificial Intelligence 496
  • Information Systems 137
  • Control and Systems Engineering 76
Replace Wai Weng Lo with:
Wai Weng Lo Australia
Sebastián García Czechia
Cherita Corbett United States
Sunny Behal India
Jeffrey S. Chavis United States
Giovanni Apruzzese Liechtenstein
Ankur Chowdhary United States
Basil AsSadhan Saudi Arabia
Gideon Creech Australia
Jafar Haadi Jafarian United States
Mohanad Sarhan relative to Wai Weng Lo Australia Wai Weng Lo's profile →
Citations per field
00.5×1.6×
Wai Weng Lo · 1×
Citations per year

Countries citing papers authored by Mohanad Sarhan

Since Specialization
Citations

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

Fields of papers citing papers by Mohanad Sarhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside Mohanad Sarhan, 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 Mohanad Sarhan Line = papers co-authored together Mohanad Sarhan links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1
E-GraphSAGE: A Graph Neural Network based Intrusion Detection System for IoT
Hit paper breakdown →
2022186
2 2022106
3 202298
4 202275
5 202274
6 202373
7 202347
8 202345
9 202337
10 202319
11
Towards a Standard Feature Set of NIDS Datasets.
202118
12 202216
13 20237
14 20226

About Mohanad Sarhan

Mohanad Sarhan is a scholar working on Computer Networks and Communications, Artificial Intelligence, Signal Processing, Information Systems and Control and Systems Engineering, having authored 14 papers that have together received 807 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (12 papers), Anomaly Detection Techniques and Applications (7 papers), Internet Traffic Analysis and Secure E-voting (6 papers), Advanced Malware Detection Techniques (6 papers), Advanced Graph Neural Networks (2 papers), Blockchain Technology Applications and Security (2 papers), Crime, Illicit Activities, and Governance (1 paper) and Spam and Phishing Detection (1 paper). The work is most often cited by research in Signal Processing (314 citations), Computer Networks and Communications (616 citations), Artificial Intelligence (496 citations), Information Systems (137 citations) and Control and Systems Engineering (76 citations). Mohanad Sarhan has collaborated with scholars based in Australia. Frequent co-authors include Siamak Layeghy, Marius Portmann, Wai Weng Lo, Marcus Gallagher, Nour Moustafa and Raja Jurdak. Their work appears in journals such as Applied Intelligence, Journal of Parallel and Distributed Computing, Internet of Things, Digital Communications and Networks and International Journal of Information Security.

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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