Mohammad A. Alsharaiah
Impact in
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- Advanced Malware Detection Techniques
Papers in
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- Spam and Phishing Detection 3
- Internet of Things and AI 2
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- Machine Learning in Healthcare 1
- Co-authors
- Laith H. Baniata (5 shared papers)Mosleh M. Abualhaj (5 shared papers)Mahran Al-Zyoud (3 shared papers)Ahmad Adel Abu-Shareha (6 shared papers)Qasem M. Kharma (3 shared papers)Adeeb Alsaaidah (4 shared papers)Omar Adwan (3 shared papers)Mohammad O. Hiari (2 shared papers)
- Journals
- PeerJ Computer Science (1 paper)Evolutionary Intelligence (1 paper)Applied Sciences (1 paper)Multimedia Tools and Applications (1 paper)Biosystems (1 paper)
- Partner nations
- JordanSouth KoreaSaudi Arabia
In The Last Decade
Mohammad A. Alsharaiah
16 papers receiving 96 citations
Peers
Comparison fields: 5 of 40
- Signal Processing 20
- Health Informatics 2
- Computer Networks and Communications 32
- Computer Science Applications 7
- Artificial Intelligence 34
Countries citing papers authored by Mohammad A. Alsharaiah
This map shows the geographic impact of Mohammad A. Alsharaiah'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 Mohammad A. Alsharaiah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad A. Alsharaiah more than expected).
Fields of papers citing papers by Mohammad A. Alsharaiah
This network shows the impact of papers produced by Mohammad A. Alsharaiah. 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 Mohammad A. Alsharaiah. The network helps show where Mohammad A. Alsharaiah may publish in the future.
Co-authors
The 25 scholars most cited alongside Mohammad A. Alsharaiah, 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 | 2024 | 16 | |
| 2 | 2024 | 16 | |
| 3 | 2024 | 13 | |
| 4 | 2022 | 12 | |
| 5 | 2023 | 11 | |
| 6 | 2025 | 6 | |
| 7 | 2022 | 5 | |
| 8 | 2025 | 4 | |
| 9 | 2023 | 4 | |
| 10 | 2022 | 4 | |
| 11 | 2023 | 2 | |
| 12 | 2025 | 1 | |
| 13 | 2026 | 1 | |
| 14 | 2025 | 1 | |
| 15 | 2023 | 1 | |
| 16 | 2026 | 1 | |
| 17 | 2024 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2026 | 0 |
About Mohammad A. Alsharaiah
Mohammad A. Alsharaiah is a scholar working on Information Systems, Artificial Intelligence, Computer Networks and Communications, Signal Processing and Molecular Biology, having authored 19 papers that have together received 100 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (3 papers), Spam and Phishing Detection (3 papers), Advanced Malware Detection Techniques (3 papers), Computational Drug Discovery Methods (2 papers), Cell Image Analysis Techniques (2 papers), Internet of Things and AI (2 papers), Machine Learning in Healthcare (1 paper) and Human Pose and Action Recognition (1 paper). The work is most often cited by research in Signal Processing (20 citations), Health Informatics (2 citations), Computer Networks and Communications (32 citations), Computer Science Applications (7 citations) and Artificial Intelligence (34 citations). Mohammad A. Alsharaiah has collaborated with scholars based in Jordan, South Korea and Saudi Arabia. Frequent co-authors include Laith H. Baniata, Mosleh M. Abualhaj, Mahran Al-Zyoud, Ahmad Adel Abu-Shareha, Qasem M. Kharma, Adeeb Alsaaidah, Omar Adwan, Mohammad O. Hiari, Abdelrahman H. Hussein and Christopher Ifeanyi Eke. Their work appears in journals such as PeerJ Computer Science, Evolutionary Intelligence, Applied Sciences, Multimedia Tools and Applications and Biosystems.
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.