Mohammed Al-Shabi
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Information Systems top 10%
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering
- Co-authors
- Abdulrahman AlqarafiFahd N. Al‐WesabiMesfer Al DuhayyimFeras BarneihNida NasirTalal BonnyFadwa AlrowaisNadhem Nemri
- Topics
- Network Security and Intrusion Detection (3 papers)IoT and Edge/Fog Computing (3 papers)COVID-19 diagnosis using AI (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaApplied SciencesMultimedia Tools and Applications
- Partner nations
- Saudi ArabiaUnited Arab EmiratesUnited Kingdom
In The Last Decade
Mohammed Al-Shabi
20 papers receiving 275 citations
Peers
Comparison fields: 5 of 69
- Artificial Intelligence 124
- Computer Networks and Communications 91
- Information Systems 84
- Computer Vision and Pattern Recognition 58
- Electrical and Electronic Engineering 41
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-authorship network of co-authors of Mohammed Al-Shabi
This figure shows the co-authorship network connecting the top 25 collaborators of Mohammed Al-Shabi. A scholar is included among the top collaborators of Mohammed Al-Shabi 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 Al-Shabi. Mohammed Al-Shabi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 0 | |
| 4 | 10 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 0 | |
| 8 | 4 | |
| 9 | 37 | |
| 10 | 12 | |
| 11 | 7 | |
| 12 | 1 | |
| 13 | 17 | |
| 14 | 6 | |
| 15 | 55 | |
| 16 | 49 | |
| 17 | Global Behavior of a Fourth Order Rational Difference Equation | 2 |
| 18 | 1 | |
| 19 | 4 | |
| 20 | 6 |
About Mohammed Al-Shabi
Mohammed Al-Shabi is a scholar working on Computer Networks and Communications, Artificial Intelligence and Signal Processing, having authored 24 papers that have together received 291 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (3 papers), IoT and Edge/Fog Computing (3 papers) and COVID-19 diagnosis using AI (3 papers). The work is most often cited by research in Computer Networks and Communications (91 citations), Artificial Intelligence (124 citations) and Information Systems (84 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, Feras Barneih, Nida Nasir, Talal Bonny, Fadwa Alrowais, Nadhem Nemri, Mahmoud Othman and Saud S. Alotaibi. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Sciences and Multimedia Tools and Applications.
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.