Abdulrahman Alruban
- Artificial Intelligence
- Computer Vision and Pattern Recognition top 10%
- Radiology, Nuclear Medicine and Imaging
- Information Systems
- Signal Processing
- Co-authors
- Sultan AlmotairiAshit Kumar DuttaSaman RiazArshad AliMuhammad AamirNazri Mohd NawiSteven FurnellNathan Clarke
- Topics
- Advanced Malware Detection Techniques (5 papers)Network Security and Intrusion Detection (3 papers)User Authentication and Security Systems (3 papers)
- Partner nations
- Saudi ArabiaUnited KingdomAustralia
In The Last Decade
Abdulrahman Alruban
21 papers receiving 238 citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Artificial Intelligence 80
- Computer Vision and Pattern Recognition 69
- Radiology, Nuclear Medicine and Imaging 37
- Information Systems 31
- Signal Processing 23
Countries citing papers authored by Abdulrahman Alruban
This map shows the geographic impact of Abdulrahman Alruban'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 Abdulrahman Alruban with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abdulrahman Alruban more than expected).
Fields of papers citing papers by Abdulrahman Alruban
This network shows the impact of papers produced by Abdulrahman Alruban. 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 Abdulrahman Alruban. The network helps show where Abdulrahman Alruban may publish in the future.
Co-authorship network of co-authors of Abdulrahman Alruban
This figure shows the co-authorship network connecting the top 25 collaborators of Abdulrahman Alruban. A scholar is included among the top collaborators of Abdulrahman Alruban 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 Abdulrahman Alruban. Abdulrahman Alruban is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 9 | |
| 4 | 5 | |
| 5 | 0 | |
| 6 | A Comparison of Pooling Methods for Convolutional Neural Networksbreakdown → | 182 |
| 7 | 5 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 2 | |
| 11 | 4 | |
| 12 | 0 | |
| 13 | 1 | |
| 14 | 11 | |
| 15 | 3 | |
| 16 | 3 | |
| 17 | 4 | |
| 18 | 3 | |
| 19 | 1 | |
| 20 | 4 |
About Abdulrahman Alruban
Abdulrahman Alruban is a scholar working on Signal Processing, Information Systems and Computer Vision and Pattern Recognition, having authored 23 papers that have together received 255 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (5 papers), Network Security and Intrusion Detection (3 papers) and User Authentication and Security Systems (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (69 citations), Artificial Intelligence (80 citations) and Health Informatics (3 citations). Abdulrahman Alruban has collaborated with scholars based in Saudi Arabia, United Kingdom and Australia. Frequent co-authors include Sultan Almotairi, Ashit Kumar Dutta, Saman Riaz, Arshad Ali, Muhammad Aamir, Nazri Mohd Nawi, Steven Furnell, Nathan Clarke, Rana Alabdan and Anwer Mustafa Hilal. Their work appears in journals such as IEEE Access, Sensors and Australasian Journal of Paramedicine.
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.