Mahmoud Nabil

1.4k total citations · 1 hit paper
59 papers, 876 citations indexed

About

Mahmoud Nabil is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Control and Systems Engineering. According to data from OpenAlex, Mahmoud Nabil has authored 59 papers receiving a total of 876 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Artificial Intelligence, 15 papers in Electrical and Electronic Engineering and 13 papers in Control and Systems Engineering. Recurrent topics in Mahmoud Nabil's work include Smart Grid Security and Resilience (13 papers), Adversarial Robustness in Machine Learning (11 papers) and Cryptography and Data Security (9 papers). Mahmoud Nabil is often cited by papers focused on Smart Grid Security and Resilience (13 papers), Adversarial Robustness in Machine Learning (11 papers) and Cryptography and Data Security (9 papers). Mahmoud Nabil collaborates with scholars based in United States, Saudi Arabia and Egypt. Mahmoud Nabil's co-authors include Mohamed Aly, Amir F. Atiya, Mohamed Mahmoud, Erchin Serpedin, Muhammad Ismail, Reyhan Baktur, Waleed Alasmary, Abdollah Homaifar, Ahmed Sherif and Mohamed Abdallah and has published in prestigious journals such as Nature Energy, IEEE Access and IEEE Transactions on Smart Grid.

In The Last Decade

Mahmoud Nabil

56 papers receiving 828 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.

ASTD: Arabic Sentiment Tweets Dataset

2015 260 citations Mahmoud Nabil, Mohamed Aly et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mahmoud Nabil United States	13	496	329	251	155	78	59	876
Myeonghwi Kim South Korea	4	263 0.5×	122 0.4×	65 0.3×	78 0.5×	118 1.5×	7	637
Linqiang Ge United States	15	188 0.4×	145 0.4×	129 0.5×	136 0.9×	329 4.2×	29	668
Ryan Gerdes United States	15	317 0.6×	485 1.5×	267 1.1×	95 0.6×	217 2.8×	60	864
Farid Naït‐Abdesselam France	17	206 0.4×	321 1.0×	62 0.2×	152 1.0×	825 10.6×	113	1.1k
Xiaofan He United States	21	373 0.8×	489 1.5×	67 0.3×	171 1.1×	715 9.2×	79	1.1k
Long Lin China	4	176 0.4×	254 0.8×	26 0.1×	78 0.5×	115 1.5×	9	550
Faisal Naeem Pakistan	14	112 0.2×	305 0.9×	92 0.4×	90 0.6×	325 4.2×	25	658
Daniel J. Mankowitz Israel	8	301 0.6×	78 0.2×	127 0.5×	25 0.2×	68 0.9×	19	540
Hokeun Kim United States	14	111 0.2×	135 0.4×	59 0.2×	112 0.7×	328 4.2×	37	575

Countries citing papers authored by Mahmoud Nabil

Since Specialization

Citations

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

Fields of papers citing papers by Mahmoud Nabil

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mahmoud Nabil

This figure shows the co-authorship network connecting the top 25 collaborators of Mahmoud Nabil. A scholar is included among the top collaborators of Mahmoud Nabil 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 Mahmoud Nabil. Mahmoud Nabil 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:

20 of 20 papers shown

Nabil, Mahmoud, et al.. (2025). Trojan Attack and Defense for Deep Learning Based Power Quality Disturbances Classification. IEEE Transactions on Network Science and Engineering. 12(5). 3962–3974. 1 indexed citations

Nabil, Mahmoud, et al.. (2025). Detection of Multiple Small Biased GPS Spoofing Attacks on Autonomous Vehicles Using Time Series Analysis. IEEE Open Journal of Vehicular Technology. 6. 1152–1163. 3 indexed citations

Ibrahem, Mohamed I., et al.. (2024). Poisoning Attack Mitigation for Privacy-Preserving Federated Learning-Based Energy Theft Detection. 3962–3968. 1 indexed citations

Badr, Mahmoud M., et al.. (2024). Securing Smart Grid False Data Detectors Against White-Box Evasion Attacks Without Sacrificing Accuracy. IEEE Internet of Things Journal. 11(20). 33873–33889. 9 indexed citations

Nabil, Mahmoud, et al.. (2024). NCAT12-DET: A New Benchmark Dataset for Surface Defect Detection and a Comparative Study. IEEE Access. 12. 72607–72619.

AlQahtani, Ali Abdullah S., et al.. (2024). Leveraging Machine Learning for Wi-Fi-Based Environmental Continuous Two-Factor Authentication. IEEE Access. 12. 13277–13289. 8 indexed citations

Nabil, Mahmoud, et al.. (2024). Numerical investigation of the impact of inlet and outlet ports of water jet impingement cooling modules. Heat Transfer. 54(1). 117–144.

Nabil, Mahmoud, et al.. (2022). A Review on Human–Machine Trust Evaluation: Human-Centric and Machine-Centric Perspectives. IEEE Transactions on Human-Machine Systems. 52(5). 952–962. 47 indexed citations

Nabil, Mahmoud, et al.. (2022). Accurate and Privacy-Preserving Person Localization Using Federated-Learning and the Camera Surveillance Systems of Public Places. IEEE Access. 10. 109894–109907. 4 indexed citations

10.

Baza, Mohamed, Ahmed Sherif, Mahmoud Nabil, et al.. (2021). Privacy-Preserving and Collusion-Resistant Charging Coordination Schemes for Smart Grids. IEEE Transactions on Dependable and Secure Computing. 19(4). 2226–2243. 13 indexed citations

11.

Alsabaan, Maazen, et al.. (2021). A Distributed Surveillance System With Full Coverage Guarantee Using Positive Orthogonal Codes. IEEE Access. 9. 16837–16848. 2 indexed citations

12.

Nabil, Mahmoud, et al.. (2021). Privacy-Preserving Non-Participatory Surveillance System for COVID-19-Like Pandemics. IEEE Access. 9. 79911–79926. 7 indexed citations

13.

Takiddin, Abdulrahman, Muhammad Ismail, Mahmoud Nabil, Mohamed Mahmoud, & Erchin Serpedin. (2020). Detecting Electricity Theft Cyber-Attacks in AMI Networks Using Deep Vector Embeddings. IEEE Systems Journal. 15(3). 4189–4198. 53 indexed citations

14.

Nabil, Mahmoud, Muhammad Ismail, Mohamed Mahmoud, Waleed Alasmary, & Erchin Serpedin. (2019). PPETD: Privacy-Preserving Electricity Theft Detection Scheme With Load Monitoring and Billing for AMI Networks. IEEE Access. 7. 96334–96348. 81 indexed citations

15.

Nabil, Mahmoud, et al.. (2019). MDMS: Efficient and Privacy-Preserving Multidimension and Multisubset Data Collection for AMI Networks. IEEE Internet of Things Journal. 6(6). 10363–10374. 26 indexed citations

16.

Nabil, Mahmoud, et al.. (2019). Efficient and Privacy-Preserving Ridesharing Organization for Transferable and Non-Transferable Services. IEEE Transactions on Dependable and Secure Computing. 18(3). 1291–1306. 25 indexed citations

17.

Nabil, Mahmoud, et al.. (2019). A Multi-Authority Attribute-Based Signcryption Scheme with Efficient\n Revocation for Smart Grid Downlink Communication. arXiv (Cornell University). 9 indexed citations

18.

Nabil, Mahmoud, et al.. (2018). EPIC: Efficient Privacy-Preserving Scheme With EtoE Data Integrity and Authenticity for AMI Networks. IEEE Internet of Things Journal. 6(2). 3309–3321. 36 indexed citations

19.

Nabil, Mahmoud, Mohamed Aly, & Amir F. Atiya. (2015). ASTD: Arabic Sentiment Tweets Dataset. 2515–2519. 260 indexed citations breakdown →

20.

Nabil, Mahmoud, Mohamed Aly, & Amir F. Atiya. (2014). LABR: A Large Scale Arabic Book Reviews Dataset. arXiv (Cornell University). 7 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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