Ameer Hamza
- Health Informatics top 10%
- Neurology top 10%
- Brain Tumor Detection and Classification 6
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- COVID-19 diagnosis using AI 6
- Radiomics and Machine Learning in Medical Imaging 4
- Artificial Intelligence top 5%
- AI in cancer detection 5
- Media Technology top 5%
- Remote-Sensing Image Classification 7
- Advanced Image Fusion Techniques 6
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- Remote Sensing in Agriculture 5
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- Remote Sensing and Land Use 4
- Co-authors
- Muhammad Attique KhanMajed AlhaisoniKiran JabeenRobertas DamaševičiusUsman TariqYudong ZhangHussain Mobarak AlbarakatiLeila Jamel
- Journals
- SHILAP Revista de lepidopterología (1 paper)Scientific Reports (2 papers)Construction and Building Materials (1 paper)
- Partner nations
- PakistanSaudi ArabiaSouth Korea
In The Last Decade
Ameer Hamza
38 papers receiving 586 citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Health Informatics 15
- Neurology 85
- Radiology, Nuclear Medicine and Imaging 236
- Artificial Intelligence 276
- Media Technology 66
Countries citing papers authored by Ameer Hamza
This map shows the geographic impact of Ameer Hamza'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 Ameer Hamza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ameer Hamza more than expected).
Fields of papers citing papers by Ameer Hamza
This network shows the impact of papers produced by Ameer Hamza. 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 Ameer Hamza. The network helps show where Ameer Hamza may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ameer Hamza, 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 | 1 | |
| 4 | 2025 | 5 | |
| 5 | 2025 | 3 | |
| 6 | 2025 | 2 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 10 | |
| 9 | 2024 | 0 | |
| 10 | 2024 | 31 | |
| 11 | 2024 | 3 | |
| 12 | 2024 | 3 | |
| 13 | 2024 | 9 | |
| 14 | 2024 | 15 | |
| 15 | 2024 | 4 | |
| 16 | 2023 | 17 | |
| 17 | 2023 | 9 | |
| 18 | 2023 | 15 | |
| 19 | 2022 | 28 | |
| 20 | 2019 | 7 |
About Ameer Hamza
Ameer Hamza is a scholar working on Media Technology, Neurology and Radiology, Nuclear Medicine and Imaging, having authored 46 papers that have together received 617 indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (7 papers), Advanced Image Fusion Techniques (6 papers), COVID-19 diagnosis using AI (6 papers), Brain Tumor Detection and Classification (6 papers), Remote Sensing in Agriculture (5 papers), AI in cancer detection (5 papers), Remote Sensing and Land Use (4 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). The work is most often cited by research in Health Informatics (15 citations), Neurology (85 citations) and Radiology, Nuclear Medicine and Imaging (236 citations). Ameer Hamza has collaborated with scholars based in Pakistan, Saudi Arabia and South Korea. Frequent co-authors include Muhammad Attique Khan, Majed Alhaisoni, Kiran Jabeen, Robertas Damaševičius, Usman Tariq, Yudong Zhang, Muhammad Attique Khan, Hussain Mobarak Albarakati, Leila Jamel and Rao Arsalan Khushnood. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Construction and Building Materials.
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.