Mohammed Abuhamad

706 total citations
28 papers, 408 citations indexed

About

Mohammed Abuhamad is a scholar working on Artificial Intelligence, Signal Processing and Information Systems. According to data from OpenAlex, Mohammed Abuhamad has authored 28 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 10 papers in Signal Processing and 7 papers in Information Systems. Recurrent topics in Mohammed Abuhamad's work include Advanced Malware Detection Techniques (9 papers), Adversarial Robustness in Machine Learning (7 papers) and Network Security and Intrusion Detection (5 papers). Mohammed Abuhamad is often cited by papers focused on Advanced Malware Detection Techniques (9 papers), Adversarial Robustness in Machine Learning (7 papers) and Network Security and Intrusion Detection (5 papers). Mohammed Abuhamad collaborates with scholars based in United States, South Korea and Saudi Arabia. Mohammed Abuhamad's co-authors include DaeHun Nyang, Aziz Mohaisen, Tamer Abuhmed, Ahmed Abusnaina, Afsah Anwar, Hisham Alasmary, Sana Ullah, Sanggil Kang, Kyungja Han and Saeed Salem and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Physics in Medicine and Biology.

In The Last Decade

Mohammed Abuhamad

25 papers receiving 389 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohammed Abuhamad United States 9 227 199 191 112 63 28 408
Peilong Li United States 9 195 0.9× 44 0.2× 220 1.2× 257 2.3× 41 0.7× 26 443
Robert J. Walls United States 12 167 0.7× 120 0.6× 172 0.9× 156 1.4× 82 1.3× 29 344
Gelei Deng Singapore 10 137 0.6× 61 0.3× 103 0.5× 80 0.7× 17 0.3× 22 303
Wandong Cai China 8 117 0.5× 140 0.7× 122 0.6× 179 1.6× 21 0.3× 54 331
Fanchao Qi China 12 482 2.1× 136 0.7× 68 0.4× 85 0.8× 61 1.0× 24 546
Christopher A. Choquette-Choo United States 6 302 1.3× 33 0.2× 67 0.4× 47 0.4× 84 1.3× 10 406
Shruti Tople United Kingdom 9 463 2.0× 99 0.5× 140 0.7× 87 0.8× 21 0.3× 15 522
Babak Bashari Rad Malaysia 8 90 0.4× 114 0.6× 128 0.7× 151 1.3× 11 0.2× 12 280
Parman Sukarno Indonesia 11 241 1.1× 189 0.9× 145 0.8× 340 3.0× 18 0.3× 66 479
Mike Bond United Kingdom 8 189 0.8× 109 0.5× 218 1.1× 139 1.2× 39 0.6× 15 373

Countries citing papers authored by Mohammed Abuhamad

Since Specialization
Citations

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

Fields of papers citing papers by Mohammed Abuhamad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammed Abuhamad

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

All Works

20 of 20 papers shown
1.
Abuhamad, Mohammed, et al.. (2025). SHIELD: Thwarting Code Authorship Attribution. IEEE Transactions on Dependable and Secure Computing. 22(5). 4753–4767. 1 indexed citations
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Abuhamad, Mohammed, et al.. (2024). SingleADV: Single-Class Target-Specific Attack Against Interpretable Deep Learning Systems. IEEE Transactions on Information Forensics and Security. 19. 5985–5998. 2 indexed citations
5.
Kang, Hyejoo, Alexander R. Podgorsak, Bhanu Prasad Venkatesulu, et al.. (2023). Prostate segmentation accuracy using synthetic MRI for high-dose-rate prostate brachytherapy treatment planning. Physics in Medicine and Biology. 68(15). 155017–155017. 2 indexed citations
6.
Chan‐Tin, Eric, et al.. (2023). WebTracker: Real Webbrowsing Behaviors. Loyola eCommons (Loyola University of Chicago). 1–8.
7.
Abuhamad, Mohammed, et al.. (2023). Hardening Interpretable Deep Learning Systems: Investigating Adversarial Threats and Defenses. IEEE Transactions on Dependable and Secure Computing. 21(4). 3963–3976. 6 indexed citations
8.
Abuhamad, Mohammed, et al.. (2022). WBC image classification and generative models based on convolutional neural network. BMC Medical Imaging. 22(1). 94–94. 32 indexed citations
9.
Abuhamad, Mohammed, et al.. (2022). Sentiment Analysis of Users’ Reactions on Social Media during the Pandemic. Electronics. 11(10). 1648–1648. 6 indexed citations
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Abuhmed, Tamer, et al.. (2022). Leveraging Spectral Representations of Control Flow Graphs for Efficient Analysis of Windows Malware. 1240–1242. 8 indexed citations
12.
Abuhamad, Mohammed, et al.. (2022). Depth, Breadth, and Complexity: Ways to Attack and Defend Deep Learning Models. 1207–1209. 2 indexed citations
13.
Abusnaina, Ahmed, Mohammed Abuhamad, Hisham Alasmary, et al.. (2021). DL-FHMC: Deep Learning-Based Fine-Grained Hierarchical Learning Approach for Robust Malware Classification. IEEE Transactions on Dependable and Secure Computing. 19(5). 3432–3447. 42 indexed citations
14.
Alikhanov, Jumabek, et al.. (2021). Investigating the Effect of Traffic Sampling on Machine Learning-Based Network Intrusion Detection Approaches. IEEE Access. 10. 5801–5823. 16 indexed citations
15.
Alasmary, Hisham, Ahmed Abusnaina, Mohammed Abuhamad, et al.. (2020). Soteria: Detecting Adversarial Examples in Control Flow Graph-based Malware Classifiers. 888–898. 27 indexed citations
16.
Abuhamad, Mohammed, Tamer Abuhmed, Aziz Mohaisen, & DaeHun Nyang. (2020). AUToSen: Deep-Learning-Based Implicit Continuous Authentication Using Smartphone Sensors. IEEE Internet of Things Journal. 7(6). 5008–5020. 104 indexed citations
17.
Alshamrani, Sultan S., Mohammed Abuhamad, Ahmed Abusnaina, & Aziz Mohaisen. (2020). Investigating Online Toxicity in Users Interactions with the Mainstream Media Channels on YouTube.. 4 indexed citations
18.
Abuhamad, Mohammed, Ahmed Abusnaina, DaeHun Nyang, & Aziz Mohaisen. (2020). Sensor-based Continuous Authentication of Smartphones' Users Using Behavioral Biometrics: A Survey. 5 indexed citations
19.
Abuhamad, Mohammed & Masnizah Mohd. (2019). Data Categorization and Model Weighting Approach for Language Model Adaptation in Statistical Machine Translation. International Journal of Advanced Computer Science and Applications. 10(1). 1 indexed citations
20.
Abuhamad, Mohammed, et al.. (2018). Code authorship identification using convolutional neural networks. Future Generation Computer Systems. 95. 104–115. 38 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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