Abdullah Al Hejaili
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Signal Processing top 10%
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Ahmad AlmadhorGabriel Avelino SampedroShtwai AlsubaiSidra AbbasStephen OjoNatalia KryvinskaMuhammad Attique KhanMajed Alhaisoni
- Topics
- Network Security and Intrusion Detection (9 papers)Advanced Malware Detection Techniques (8 papers)AI in cancer detection (6 papers)
- Partner nations
- Saudi ArabiaPakistanSlovakia
In The Last Decade
Abdullah Al Hejaili
36 papers receiving 346 citations
Peers
Comparison fields: 5 of 77
- Artificial Intelligence 144
- Computer Networks and Communications 103
- Computer Vision and Pattern Recognition 75
- Signal Processing 67
- Radiology, Nuclear Medicine and Imaging 56
Countries citing papers authored by Abdullah Al Hejaili
This map shows the geographic impact of Abdullah Al Hejaili'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 Abdullah Al Hejaili with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abdullah Al Hejaili more than expected).
Fields of papers citing papers by Abdullah Al Hejaili
This network shows the impact of papers produced by Abdullah Al Hejaili. 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 Abdullah Al Hejaili. The network helps show where Abdullah Al Hejaili may publish in the future.
Co-authorship network of co-authors of Abdullah Al Hejaili
This figure shows the co-authorship network connecting the top 25 collaborators of Abdullah Al Hejaili. A scholar is included among the top collaborators of Abdullah Al Hejaili 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 Abdullah Al Hejaili. Abdullah Al Hejaili 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 | 2 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 3 | |
| 7 | 4 | |
| 8 | 3 | |
| 9 | 2 | |
| 10 | 8 | |
| 11 | 9 | |
| 12 | 1 | |
| 13 | 22 | |
| 14 | 6 | |
| 15 | 5 | |
| 16 | 17 | |
| 17 | 2 | |
| 18 | 15 | |
| 19 | 7 | |
| 20 | 28 |
About Abdullah Al Hejaili
Abdullah Al Hejaili is a scholar working on Signal Processing, Health Information Management and Artificial Intelligence, having authored 45 papers that have together received 359 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (9 papers), Advanced Malware Detection Techniques (8 papers) and AI in cancer detection (6 papers). The work is most often cited by research in Signal Processing (67 citations), Health Information Management (21 citations) and Computer Networks and Communications (103 citations). Abdullah Al Hejaili has collaborated with scholars based in Saudi Arabia, Pakistan and Slovakia. Frequent co-authors include Ahmad Almadhor, Gabriel Avelino Sampedro, Shtwai Alsubai, Sidra Abbas, Stephen Ojo, Natalia Kryvinska, Muhammad Attique Khan, Majed Alhaisoni, Ala’ Abdulmajid Eshmawi and Muhammad Umer. Their work appears in journals such as PLoS ONE, Scientific Reports and IEEE Access.
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.