Majed Aborokbah
- Computer Networks and Communications top 5%
- Artificial Intelligence top 10%
- Signal Processing top 10%
- Information Systems top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Saad AlmutairiS. ManimuruganSubramaniam GanesanNaveen ChilamkurtiRizwan PatanC. NarmathaArun Kumar SangaiahOluwarotimi Williams Samuel
- Topics
- Network Security and Intrusion Detection (7 papers)Artificial Intelligence in Healthcare (4 papers)AI in cancer detection (4 papers)
- Journals
- PLoS ONEIEEE AccessSensors
- Partner nations
- Saudi ArabiaIndiaUnited States
In The Last Decade
Majed Aborokbah
25 papers receiving 455 citations
Peers
Comparison fields: 5 of 87
- Computer Networks and Communications 223
- Artificial Intelligence 180
- Signal Processing 99
- Information Systems 95
- Computer Vision and Pattern Recognition 72
Countries citing papers authored by Majed Aborokbah
This map shows the geographic impact of Majed Aborokbah'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 Majed Aborokbah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Majed Aborokbah more than expected).
Fields of papers citing papers by Majed Aborokbah
This network shows the impact of papers produced by Majed Aborokbah. 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 Majed Aborokbah. The network helps show where Majed Aborokbah may publish in the future.
Co-authorship network of co-authors of Majed Aborokbah
This figure shows the co-authorship network connecting the top 25 collaborators of Majed Aborokbah. A scholar is included among the top collaborators of Majed Aborokbah 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 Majed Aborokbah. Majed Aborokbah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 5 | |
| 11 | 9 | |
| 12 | 0 | |
| 13 | 0 | |
| 14 | 37 | |
| 15 | 55 | |
| 16 | 1 | |
| 17 | 6 | |
| 18 | 3 | |
| 19 | 188 | |
| 20 | 6 |
About Majed Aborokbah
Majed Aborokbah is a scholar working on Health Information Management, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 33 papers that have together received 478 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (7 papers), Artificial Intelligence in Healthcare (4 papers) and AI in cancer detection (4 papers). The work is most often cited by research in Health Information Management (53 citations), Computer Networks and Communications (223 citations) and Signal Processing (99 citations). Majed Aborokbah has collaborated with scholars based in Saudi Arabia, India and United States. Frequent co-authors include Saad Almutairi, S. Manimurugan, Subramaniam Ganesan, Naveen Chilamkurti, Rizwan Patan, C. Narmatha, Arun Kumar Sangaiah, Oluwarotimi Williams Samuel, Tareq Alhmiedat and Riyadh A. Alzaheb. Their work appears in journals such as PLoS ONE, IEEE Access and Sensors.
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.