Mohammed Al-Shabi
Impact in
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- Network Security and Intrusion Detection
- IoT and Edge/Fog Computing
- Artificial Intelligence top 10%
- Imbalanced Data Classification Techniques
- Anomaly Detection Techniques and Applications
Papers in
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- Network Security and Intrusion Detection 3
- IoT and Edge/Fog Computing 3
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- Anomaly Detection Techniques and Applications 3
- Co-authors
- Abdulrahman Alqarafi (3 shared papers)Fahd N. Al‐Wesabi (3 shared papers)Mesfer Al Duhayyim (3 shared papers)Nida Nasir (3 shared papers)Feras Barneih (3 shared papers)Saud S. Alotaibi (1 shared paper)Mahmoud Othman (1 shared paper)Talal Bonny (4 shared papers)
- Journals
- Intelligent Systems with Applications (2 papers)Multimedia Tools and Applications (2 papers)Applied Sciences (2 papers)Computers, materials & continua/Computers, materials & continua (Print) (1 paper)Wireless Personal Communications (1 paper)
- Partner nations
- Saudi ArabiaUnited Arab EmiratesUnited Kingdom
In The Last Decade
Mohammed Al-Shabi
20 papers receiving 289 citations
Peers
Comparison fields: 5 of 69
- Computer Networks and Communications 93
- Artificial Intelligence 127
- Information Systems 84
- Computer Vision and Pattern Recognition 60
- Signal Processing 26
Countries citing papers authored by Mohammed Al-Shabi
This map shows the geographic impact of Mohammed Al-Shabi'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 Al-Shabi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammed Al-Shabi more than expected).
Fields of papers citing papers by Mohammed Al-Shabi
This network shows the impact of papers produced by Mohammed Al-Shabi. 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 Al-Shabi. The network helps show where Mohammed Al-Shabi may publish in the future.
Co-authors
The 25 scholars most cited alongside Mohammed Al-Shabi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 55 | |
| 2 | 2019 | 49 | |
| 3 | 2022 | 48 | |
| 4 | 2022 | 37 | |
| 5 | 2022 | 21 | |
| 6 | 2022 | 18 | |
| 7 | 2022 | 12 | |
| 8 | 2023 | 10 | |
| 9 | 2022 | 9 | |
| 10 | 2022 | 8 | |
| 11 | 2021 | 7 | |
| 12 | 2024 | 6 | |
| 13 | 2006 | 6 | |
| 14 | 2023 | 4 | |
| 15 | 2022 | 4 | |
| 16 | 2013 | 4 | |
| 17 | Global Behavior of a Fourth Order Rational Difference Equation | 2018 | 2 |
| 18 | 2022 | 1 | |
| 19 | 2018 | 1 | |
| 20 | 2023 | 1 |
About Mohammed Al-Shabi
Mohammed Al-Shabi is a scholar working on Computer Networks and Communications, Artificial Intelligence, Electrical and Electronic Engineering, Information Systems and Computer Vision and Pattern Recognition, having authored 24 papers that have together received 303 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (3 papers), COVID-19 diagnosis using AI (3 papers), Network Security and Intrusion Detection (3 papers), IoT and Edge/Fog Computing (3 papers), Blockchain Technology Applications and Security (2 papers), Handwritten Text Recognition Techniques (2 papers), Vehicular Ad Hoc Networks (VANETs) (2 papers) and Water Quality Monitoring Technologies (2 papers). The work is most often cited by research in Computer Networks and Communications (93 citations), Artificial Intelligence (127 citations), Information Systems (84 citations), Computer Vision and Pattern Recognition (60 citations) and Signal Processing (26 citations). Mohammed Al-Shabi has collaborated with scholars based in Saudi Arabia, United Arab Emirates and United Kingdom. Frequent co-authors include Abdulrahman Alqarafi, Fahd N. Al‐Wesabi, Mesfer Al Duhayyim, Nida Nasir, Feras Barneih, Saud S. Alotaibi, Mahmoud Othman, Talal Bonny, Fadwa Alrowais and Nadhem Nemri. Their work appears in journals such as Intelligent Systems with Applications, Multimedia Tools and Applications, Applied Sciences, Computers, materials & continua/Computers, materials & continua (Print) and Wireless Personal Communications.
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.