Mohammed Abuhamad
- Signal Processing top 5%
- Advanced Malware Detection Techniques 9
- Health Informatics top 10%
- Information Systems top 5%
- Artificial Intelligence top 5%
- Adversarial Robustness in Machine Learning 7
- Authorship Attribution and Profiling 5
- Hate Speech and Cyberbullying Detection 4
- Anomaly Detection Techniques and Applications 4
- Explainable Artificial Intelligence (XAI) 3
- Topic Modeling 3
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- Network Security and Intrusion Detection 5
- Co-authors
- DaeHun NyangAziz MohaisenTamer AbuhmedAhmed AbusnainaAfsah AnwarHisham AlasmarySana UllahSanggil Kang
- Partner nations
- United StatesSouth KoreaSaudi Arabia
In The Last Decade
Mohammed Abuhamad
25 papers receiving 389 citations
Peers
Comparison fields: 5 of 51
- Signal Processing 199
- Health Informatics 12
- Information Systems 191
- Artificial Intelligence 227
- Computer Networks and Communications 112
Countries citing papers authored by Mohammed Abuhamad
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
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
The 25 scholars most cited alongside Mohammed Abuhamad, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 0 | |
| 7 | 2023 | 6 | |
| 8 | 2022 | 32 | |
| 9 | 2022 | 6 | |
| 10 | 2022 | 3 | |
| 11 | 2022 | 8 | |
| 12 | 2022 | 2 | |
| 13 | 2021 | 42 | |
| 14 | 2021 | 16 | |
| 15 | 2020 | 27 | |
| 16 | 2020 | 104 | |
| 17 | Investigating Online Toxicity in Users Interactions with the Mainstream Media Channels on YouTube. | 2020 | 4 |
| 18 | Sensor-based Continuous Authentication of Smartphones' Users Using Behavioral Biometrics: A Survey | 2020 | 5 |
| 19 | 2019 | 1 | |
| 20 | 2018 | 38 |
About Mohammed Abuhamad
Mohammed Abuhamad is a scholar working on Signal Processing, Artificial Intelligence and Information Systems, having authored 28 papers that have together received 408 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (9 papers), Adversarial Robustness in Machine Learning (7 papers), Network Security and Intrusion Detection (5 papers), Authorship Attribution and Profiling (5 papers), Hate Speech and Cyberbullying Detection (4 papers), Anomaly Detection Techniques and Applications (4 papers), Explainable Artificial Intelligence (XAI) (3 papers) and Topic Modeling (3 papers). The work is most often cited by research in Signal Processing (199 citations), Health Informatics (12 citations) and Information Systems (191 citations). Mohammed Abuhamad has collaborated with scholars based in United States, South Korea and Saudi Arabia. Frequent co-authors include DaeHun Nyang, Aziz Mohaisen, Tamer Abuhmed, Ahmed Abusnaina, Afsah Anwar, Hisham Alasmary, Sana Ullah, Sanggil Kang, Kyungja Han and Saeed Salem.
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.