Saad Alanazi
- Health Informatics top 10%
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- Artificial Intelligence in Healthcare 6
- Artificial Intelligence top 5%
- AI in cancer detection 6
- Modeling and Simulation top 5%
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- IoT and Edge/Fog Computing 7
- Network Security and Intrusion Detection 4
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- COVID-19 diagnosis using AI 10
- Retinal Imaging and Analysis 5
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- Smart Agriculture and AI 4
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- ECG Monitoring and Analysis 4
- Co-authors
- Madallah AlruwailiNasser AlshammariM. M. KamruzzamanFahad AhmadMuhammad Hameed SiddiqiYousef AlhwaitiAhmed ElarabyMd Nazirul Islam Sarker
- Journals
- SHILAP Revista de lepidopterología (4 papers)Computers in Human Behavior (3 papers)IEEE Access (4 papers)
- Partner nations
- Saudi ArabiaPakistanEgypt
In The Last Decade
Saad Alanazi
74 papers receiving 989 citations
Peers
Comparison fields: 5 of 141
- Health Informatics 22
- Health Information Management 58
- Artificial Intelligence 376
- Modeling and Simulation 48
- Computer Networks and Communications 174
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
The 25 scholars most cited alongside Saad Alanazi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 5 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 8 | |
| 5 | 2025 | 1 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 3 | |
| 10 | 2024 | 3 | |
| 11 | 2024 | 1 | |
| 12 | 2023 | 19 | |
| 13 | 2023 | 2 | |
| 14 | 2022 | 10 | |
| 15 | 2022 | 7 | |
| 16 | 2022 | 22 | |
| 17 | 2021 | 21 | |
| 18 | 2021 | 108 | |
| 19 | 2021 | 4 | |
| 20 | Aplikasi Realiti Maya Desktop Bukan Immersif: Teknologi Terkini dalam Domain Pendidikan | 2019 | 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), Artificial Intelligence in Healthcare (6 papers), AI in cancer detection (6 papers), Retinal Imaging and Analysis (5 papers), Network Security and Intrusion Detection (4 papers), Smart Agriculture and AI (4 papers) and ECG Monitoring and Analysis (4 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.