Fathi Amsaad

1.1k total citations
70 papers, 588 citations indexed

About

Fathi Amsaad is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture and Computer Networks and Communications. According to data from OpenAlex, Fathi Amsaad has authored 70 papers receiving a total of 588 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Electrical and Electronic Engineering, 30 papers in Hardware and Architecture and 19 papers in Computer Networks and Communications. Recurrent topics in Fathi Amsaad's work include Physical Unclonable Functions (PUFs) and Hardware Security (30 papers), Integrated Circuits and Semiconductor Failure Analysis (22 papers) and Neuroscience and Neural Engineering (12 papers). Fathi Amsaad is often cited by papers focused on Physical Unclonable Functions (PUFs) and Hardware Security (30 papers), Integrated Circuits and Semiconductor Failure Analysis (22 papers) and Neuroscience and Neural Engineering (12 papers). Fathi Amsaad collaborates with scholars based in United States, Kazakhstan and Malaysia. Fathi Amsaad's co-authors include Abdul Razaque, Mohammed Niamat, N. Z. Jhanjhi, Salim Hariri, Selçuk Köse, Tamzidul Hoque, Mohamed Baza, Sajal Bhatia, Mohamed Mahmoud and Shujing Chen and has published in prestigious journals such as IEEE Access, IEEE Internet of Things Journal and Electronics.

In The Last Decade

Fathi Amsaad

60 papers receiving 561 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fathi Amsaad United States	14	247	222	166	144	132	70	588
Artemios G. Voyiatzis Greece	16	153 0.6×	222 1.0×	172 1.0×	148 1.0×	134 1.0×	45	593
Sriram Sankaran India	13	153 0.6×	422 1.9×	206 1.2×	153 1.1×	127 1.0×	70	667
Chintan Patel India	12	208 0.8×	160 0.7×	132 0.8×	58 0.4×	61 0.5×	39	465
Hannes Tschofenig Germany	11	330 1.3×	671 3.0×	272 1.6×	61 0.4×	213 1.6×	115	889
Cesar Albenes Zeferino Brazil	16	355 1.4×	601 2.7×	62 0.4×	523 3.6×	75 0.6×	63	879
Masoumeh Safkhani Iran	16	97 0.4×	546 2.5×	453 2.7×	60 0.4×	165 1.3×	65	766
Uzair Javaid Singapore	10	233 0.9×	321 1.4×	460 2.8×	59 0.4×	163 1.2×	14	630
Ahmed Sherif United States	12	209 0.8×	89 0.4×	184 1.1×	23 0.2×	178 1.3×	46	482
Sina Faezi United States	12	195 0.8×	74 0.3×	57 0.3×	144 1.0×	51 0.4×	19	450

Countries citing papers authored by Fathi Amsaad

Since Specialization

Citations

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

Fields of papers citing papers by Fathi Amsaad

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fathi Amsaad

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

All Works

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20 of 20 papers shown

Amsaad, Fathi, et al.. (2025). Ml assisted techniques in power side channel analysis for trojan classification. Cluster Computing. 28(3). 2 indexed citations

Badr, Mahmoud M., et al.. (2024). Securing Smart Grids: Deep Reinforcement Learning Approach for Detecting Cyber-Attacks. 1–6. 2 indexed citations

Amsaad, Fathi, et al.. (2024). Routing Protocol Attack Detection Using Machine Learning Through Parallel Computing in Wireless Sensor Network. 1–5. 1 indexed citations

Amsaad, Fathi, et al.. (2024). SRAM PUFs: A Study of Aging Impact and Potential Mitigation. 1–5.

Amsaad, Fathi, et al.. (2024). Enhancing the Performance of Unsupervised Machine Learning Using Parallel Computing: A Comparative Analysis. 1–5. 1 indexed citations

Amsaad, Fathi, et al.. (2024). Hybrid Efficient Unsupervised Anomaly Detection for Early Pandemic Case Identification. 279–284. 2 indexed citations

Amsaad, Fathi, et al.. (2024). Isolation Forest Based TinyML for Detecting Hardware Trojans on FPGA in Real Time. 1–5.

Zhang, Junjie, et al.. (2024). Malicious Code Detection Using LLM. 414–416.

Amsaad, Fathi, et al.. (2024). An Overview of Secure Network Segmentation in Connected IIoT Environments. 1(1). 1–1. 1 indexed citations

10.

Amsaad, Fathi, et al.. (2023). Benchmarking for Hardware Security: Types, Design Levels, and Limitations. 80.2. 1088–1092. 1 indexed citations

11.

Baza, Mohamed, et al.. (2023). A comprehensive review on blockchains for Internet of Vehicles: Challenges and directions. Computer Science Review. 48. 100547–100547. 41 indexed citations

12.

Rahman, Md Tauhidur, et al.. (2023). Evaluating the Robustness of SRAM Physical Unclonable Functions: Empirical Investigations. 1–7. 1 indexed citations

13.

Amsaad, Fathi, et al.. (2023). FPGA Hardware Trojan Detection: Golden-Free Machine Learning Approach. 181–186. 3 indexed citations

14.

Singla, Jimmy, et al.. (2022). Light Weight Authentication Scheme for Smart Home IoT Devices. Cryptography. 6(3). 37–37. 26 indexed citations

15.

Pal, Souvik, et al.. (2022). Information-Centric IoT-Based Smart Farming with Dynamic Data燨ptimization. Computers, materials & continua/Computers, materials & continua (Print). 74(2). 3865–3880. 2 indexed citations

16.

Amsaad, Fathi, Mohammed Niamat, Abdul Razaque, et al.. (2021). Enhancing the Performance of Lightweight Configurable PUF for Robust IoT Hardware-Assisted Security. IEEE Access. 9. 136792–136810. 13 indexed citations

17.

Razaque, Abdul, Bandar Alotaibi, Munif Alotaibi, et al.. (2021). Blockchain-Enabled Deep Recurrent Neural Network Model for Clickbait Detection. IEEE Access. 10. 3144–3163. 15 indexed citations

18.

Fouda, Mostafa M., et al.. (2020). Detection of Lying Electrical Vehicles in Charging Coordination Using Deep Learning. IEEE Access. 8. 179400–179414. 21 indexed citations

19.

Razaque, Abdul, et al.. (2016). Intelligent Healthcare Monitoring using Radio Frequency Identification Detection. Communications on Applied Electronics. 4(5). 6–13.

20.

Amsaad, Fathi, et al.. (2016). An innovative delay based algorithm to boost PUF security against machine learning attacks. 1–6. 3 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.

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