Saad Alanazi
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Computer Vision and Pattern Recognition top 5%
- Plant Science
- Co-authors
- Madallah AlruwailiNasser AlshammariM. M. KamruzzamanFahad AhmadMuhammad Hameed SiddiqiYousef AlhwaitiAhmed ElarabyMd Nazirul Islam Sarker
- Topics
- COVID-19 diagnosis using AI (10 papers)IoT and Edge/Fog Computing (7 papers)Artificial Intelligence in Healthcare (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaComputers in Human BehaviorIEEE Access
- Partner nations
- Saudi ArabiaPakistanEgypt
In The Last Decade
Saad Alanazi
74 papers receiving 989 citations
Peers
Comparison fields: 5 of 141
- Artificial Intelligence 376
- Computer Networks and Communications 174
- Radiology, Nuclear Medicine and Imaging 165
- Computer Vision and Pattern Recognition 145
- Plant Science 135
Countries citing papers authored by Saad Alanazi
This map shows the geographic impact of Saad Alanazi'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 Saad Alanazi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saad Alanazi more than expected).
Fields of papers citing papers by Saad Alanazi
This network shows the impact of papers produced by Saad Alanazi. 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 Saad Alanazi. The network helps show where Saad Alanazi may publish in the future.
Co-authorship network of co-authors of Saad Alanazi
This figure shows the co-authorship network connecting the top 25 collaborators of Saad Alanazi. A scholar is included among the top collaborators of Saad Alanazi 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 Saad Alanazi. Saad Alanazi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 3 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | 19 | |
| 13 | 2 | |
| 14 | 10 | |
| 15 | 7 | |
| 16 | 22 | |
| 17 | 21 | |
| 18 | 108 | |
| 19 | 4 | |
| 20 | Aplikasi Realiti Maya Desktop Bukan Immersif: Teknologi Terkini dalam Domain Pendidikan | 0 |
About Saad Alanazi
Saad Alanazi is a scholar working on Health Informatics, Health Information Management and Research and Theory, having authored 84 papers that have together received 1.1k indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (10 papers), IoT and Edge/Fog Computing (7 papers) and Artificial Intelligence in Healthcare (6 papers). The work is most often cited by research in Health Informatics (22 citations), Health Information Management (58 citations) and Artificial Intelligence (376 citations). Saad Alanazi has collaborated with scholars based in Saudi Arabia, Pakistan and Egypt. Frequent co-authors include Madallah Alruwaili, Nasser Alshammari, M. M. Kamruzzaman, Fahad Ahmad, Muhammad Hameed Siddiqi, Yousef Alhwaiti, Ahmed Elaraby, Md Nazirul Islam Sarker, Salman A. AlQahtani and Muhammad Adnan Khan. Their work appears in journals such as SHILAP Revista de lepidopterología, Computers in Human Behavior 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.