Ali Alghamdi
- Neurology top 10%
- Brain Tumor Detection and Classification 7
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- Advanced Neural Network Applications 6
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- Radiation Dose and Imaging 4
- COVID-19 diagnosis using AI 3
- Radiology practices and education 3
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- AI in cancer detection 3
- Machine Learning and ELM 2
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- Ultrasound in Clinical Applications 2
- Co-authors
- Tariq AliMuhammad IrfanAhmad ShafAbdullah A. AsiriSamar M. AlqhtaniSultan AlamriSaeed AlqahtaniMuhammad Aamir
- Partner nations
- Saudi ArabiaPakistanEgypt
In The Last Decade
Ali Alghamdi
23 papers receiving 219 citations
Peers
Comparison fields: 5 of 70
- Neurology 123
- Computer Vision and Pattern Recognition 80
- Medical Terminology 1
- Radiology, Nuclear Medicine and Imaging 80
- Urban Studies 9
Countries citing papers authored by Ali Alghamdi
This map shows the geographic impact of Ali Alghamdi'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 Ali Alghamdi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ali Alghamdi more than expected).
Fields of papers citing papers by Ali Alghamdi
This network shows the impact of papers produced by Ali Alghamdi. 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 Ali Alghamdi. The network helps show where Ali Alghamdi may publish in the future.
Co-authorship network
The 24 scholars most cited alongside Ali Alghamdi, 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 | 2024 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 11 | |
| 7 | 2023 | 38 | |
| 8 | 2023 | 50 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 3 | |
| 11 | 2023 | 5 | |
| 12 | 2022 | 1 | |
| 13 | 2022 | 3 | |
| 14 | 2021 | 9 | |
| 15 | 2021 | 7 | |
| 16 | 2020 | 0 | |
| 17 | 2020 | 5 | |
| 18 | 2019 | 7 | |
| 19 | 2018 | 21 | |
| 20 | 2018 | 4 |
About Ali Alghamdi
Ali Alghamdi is a scholar working on Neurology, General Dentistry and Health Information Management, having authored 30 papers that have together received 225 indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (7 papers), Advanced Neural Network Applications (6 papers), Radiation Dose and Imaging (4 papers), COVID-19 diagnosis using AI (3 papers), AI in cancer detection (3 papers), Radiology practices and education (3 papers), Machine Learning and ELM (2 papers) and Ultrasound in Clinical Applications (2 papers). The work is most often cited by research in Neurology (123 citations), Computer Vision and Pattern Recognition (80 citations) and Medical Terminology (1 citation). Ali Alghamdi has collaborated with scholars based in Saudi Arabia, Pakistan and Egypt. Frequent co-authors include Tariq Ali, Muhammad Irfan, Ahmad Shaf, Abdullah A. Asiri, Samar M. Alqhtani, Sultan Alamri, Saeed Alqahtani, Muhammad Aamir, Magbool Alelyani and M. Almatari. Their work appears in journals such as PeerJ Computer Science, Current Eye Research, IEEE Access, Life and Rhizosphere.
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.