Mohanad Sarhan

1.8k total citations · 1 hit paper
14 papers, 717 citations indexed

About

Mohanad Sarhan is a scholar working on Computer Networks and Communications, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Mohanad Sarhan has authored 14 papers receiving a total of 717 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Networks and Communications, 12 papers in Artificial Intelligence and 6 papers in Signal Processing. Recurrent topics in Mohanad Sarhan's work include Network Security and Intrusion Detection (12 papers), Anomaly Detection Techniques and Applications (7 papers) and Internet Traffic Analysis and Secure E-voting (6 papers). Mohanad Sarhan is often cited by papers focused on Network Security and Intrusion Detection (12 papers), Anomaly Detection Techniques and Applications (7 papers) and Internet Traffic Analysis and Secure E-voting (6 papers). Mohanad Sarhan collaborates with scholars based in Australia. Mohanad Sarhan's co-authors include Marius Portmann, Siamak Layeghy, Wai Weng Lo, Marcus Gallagher, Nour Moustafa and Raja Jurdak and has published in prestigious journals such as Expert Systems with Applications, Journal of Parallel and Distributed Computing and Computers & Electrical Engineering.

In The Last Decade

Mohanad Sarhan

14 papers receiving 699 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

E-GraphSAGE: A Graph Neural Network based Intrusion Detection System for IoT

2022 170 citations Wai Weng Lo, Siamak Layeghy et al. arXiv (Cornell University) profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Mohanad Sarhan Australia	12	572	479	300	128	67	14	717
Wai Weng Lo Australia	8	410 0.7×	370 0.8×	197 0.7×	98 0.8×	43 0.6×	9	565
Sebastián García Czechia	9	835 1.5×	770 1.6×	542 1.8×	164 1.3×	48 0.7×	25	1.0k
Rick Hofstede Netherlands	11	545 1.0×	388 0.8×	187 0.6×	119 0.9×	34 0.5×	19	605
Yun Cui South Korea	9	549 1.0×	264 0.6×	287 1.0×	281 2.2×	31 0.5×	25	626
Jafar Haadi Jafarian United States	10	554 1.0×	265 0.6×	231 0.8×	163 1.3×	56 0.8×	26	641
Samaneh Mahdavifar Canada	9	474 0.8×	262 0.5×	446 1.5×	248 1.9×	25 0.4×	12	650
Ariana Mirian United States	8	335 0.6×	281 0.6×	219 0.7×	219 1.7×	62 0.9×	17	515
Futai Zou China	14	326 0.6×	293 0.6×	205 0.7×	219 1.7×	21 0.3×	66	568
Xuehui Du China	10	323 0.6×	265 0.6×	157 0.5×	119 0.9×	25 0.4×	53	463

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-authorship network of co-authors of Mohanad Sarhan

This figure shows the co-authorship network connecting the top 25 collaborators of Mohanad Sarhan. A scholar is included among the top collaborators of Mohanad Sarhan 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 Mohanad Sarhan. Mohanad Sarhan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

14 of 14 papers shown

Lo, Wai Weng, et al.. (2023). XG-BoT: An explainable deep graph neural network for botnet detection and forensics. Internet of Things. 22. 100747–100747. 42 indexed citations

Sarhan, Mohanad, Siamak Layeghy, Marcus Gallagher, & Marius Portmann. (2023). From zero-shot machine learning to zero-day attack detection. International Journal of Information Security. 22(4). 947–959. 39 indexed citations

Layeghy, Siamak, et al.. (2023). Exploring edge TPU for network intrusion detection in IoT. Journal of Parallel and Distributed Computing. 179. 104712–104712. 18 indexed citations

Layeghy, Siamak, et al.. (2023). FlowTransformer: A transformer framework for flow-based network intrusion detection systems. Expert Systems with Applications. 241. 122564–122564. 62 indexed citations

Sarhan, Mohanad, et al.. (2023). DOC-NAD: A Hybrid Deep One-class Classifier for Network Anomaly Detection. 1–7. 7 indexed citations

Lo, Wai Weng, et al.. (2023). Inspection-L: self-supervised GNN node embeddings for money laundering detection in bitcoin. Applied Intelligence. 53(16). 19406–19417. 32 indexed citations

Sarhan, Mohanad, Siamak Layeghy, & Marius Portmann. (2022). Evaluating Standard Feature Sets Towards Increased Generalisability and Explainability of ML-Based Network Intrusion Detection. Big Data Research. 30. 100359–100359. 68 indexed citations

Sarhan, Mohanad, Siamak Layeghy, Marcus Gallagher, & Marius Portmann. (2022). From Zero-Shot Machine Learning to Zero-Day Attack Detection. SSRN Electronic Journal. 5 indexed citations

Sarhan, Mohanad, Siamak Layeghy, Nour Moustafa, & Marius Portmann. (2022). Cyber Threat Intelligence Sharing Scheme Based on Federated Learning for Network Intrusion Detection. Journal of Network and Systems Management. 31(1). 85 indexed citations

10.

Sarhan, Mohanad, Wai Weng Lo, Siamak Layeghy, & Marius Portmann. (2022). HBFL: A hierarchical blockchain-based federated learning framework for collaborative IoT intrusion detection. Computers & Electrical Engineering. 103. 108379–108379. 65 indexed citations

11.

Sarhan, Mohanad, Siamak Layeghy, Nour Moustafa, Marcus Gallagher, & Marius Portmann. (2022). Feature extraction for machine learning-based intrusion detection in IoT networks. Digital Communications and Networks. 10(1). 205–216. 92 indexed citations

12.

Lo, Wai Weng, Siamak Layeghy, Mohanad Sarhan, Marcus Gallagher, & Marius Portmann. (2022). Graph Neural Network-based Android Malware Classification with Jumping Knowledge. 1–9. 14 indexed citations

13.

Lo, Wai Weng, Siamak Layeghy, Mohanad Sarhan, Marcus Gallagher, & Marius Portmann. (2022). E-GraphSAGE: A Graph Neural Network based Intrusion Detection System for IoT. arXiv (Cornell University). 1–9. 170 indexed citations breakdown →

14.

Sarhan, Mohanad, Siamak Layeghy, Nour Moustafa, & Marius Portmann. (2021). Towards a Standard Feature Set of NIDS Datasets.. 18 indexed citations

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.

Explore authors with similar magnitude of impact