Amal Al‐Rasheed
- Health Informatics top 10%
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- Artificial Intelligence in Healthcare 3
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- Network Security and Intrusion Detection 4
- IoT and Edge/Fog Computing 4
- Artificial Intelligence top 10%
- AI in cancer detection 9
- Sentiment Analysis and Opinion Mining 3
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- Advanced Neural Network Applications 6
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- Cutaneous Melanoma Detection and Management 5
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- COVID-19 diagnosis using AI 5
Amal Al‐Rasheed
52 papers receiving 539 citations
Peers
Comparison fields: 5 of 105
- Health Informatics 19
- Health Information Management 30
- Computer Networks and Communications 141
- Artificial Intelligence 194
- Neurology 36
Countries citing papers authored by Amal Al‐Rasheed
This map shows the geographic impact of Amal Al‐Rasheed'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 Amal Al‐Rasheed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amal Al‐Rasheed more than expected).
Fields of papers citing papers by Amal Al‐Rasheed
This network shows the impact of papers produced by Amal Al‐Rasheed. 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 Amal Al‐Rasheed. The network helps show where Amal Al‐Rasheed may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Amal Al‐Rasheed, 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 5 | |
| 7 | 2024 | 24 | |
| 8 | 2024 | 21 | |
| 9 | 2024 | 2 | |
| 10 | 2023 | 31 | |
| 11 | 2023 | 9 | |
| 12 | 2023 | 41 | |
| 13 | 2023 | 50 | |
| 14 | 2023 | 11 | |
| 15 | 2023 | 7 | |
| 16 | 2023 | 13 | |
| 17 | 2023 | 22 | |
| 18 | 2022 | 10 | |
| 19 | 2021 | 65 | |
| 20 | 2016 | 10 |
About Amal Al‐Rasheed
Amal Al‐Rasheed is a scholar working on Computer Science Applications, Health Informatics and Artificial Intelligence, having authored 60 papers that have together received 572 indexed citations. Recurring topics across this work include AI in cancer detection (9 papers), Advanced Neural Network Applications (6 papers), Cutaneous Melanoma Detection and Management (5 papers), COVID-19 diagnosis using AI (5 papers), Network Security and Intrusion Detection (4 papers), IoT and Edge/Fog Computing (4 papers), Sentiment Analysis and Opinion Mining (3 papers) and Artificial Intelligence in Healthcare (3 papers). The work is most often cited by research in Health Informatics (19 citations), Health Information Management (30 citations) and Computer Networks and Communications (141 citations). Amal Al‐Rasheed has collaborated with scholars based in Saudi Arabia, India and Tunisia. Frequent co-authors include Muhammad Amir Khan, Shaha Al‐Otaibi, Muhammad Mateen Yaqoob, Amel Ksibi, Manel Ayadi, Romany F. Mansour, Gyanendra Prasad Joshi, Woong Cho, Ben Othman Soufiene and Eunmok Yang.
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.