Saeed Iqbal
Impact in
- Health Informatics top 10%
-
- Brain Tumor Detection and Classification
Papers in
-
- AI in cancer detection 14
- Privacy-Preserving Technologies in Data 4
- Neural Networks and Applications 3
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- Radiomics and Machine Learning in Medical Imaging 9
- COVID-19 diagnosis using AI 7
- Co-authors
- Adnan N. Qureshi (22 shared papers)Jianqiang Li (3 shared papers)Tariq Mahmood (3 shared papers)Khursheed Aurangzeb (17 shared papers)Musaed Alhussein (16 shared papers)Meikang Qiu (1 shared paper)Peng Zhang (1 shared paper)Arbab Waheed Ahmad (1 shared paper)
- Journals
- IEEE Access (3 papers)IEEE Transactions on Consumer Electronics (2 papers)Cognitive Computation (2 papers)Journal of Parallel and Distributed Computing (2 papers)Information Processing & Management (2 papers)
- Partner nations
- PakistanSaudi ArabiaUnited Kingdom
In The Last Decade
Saeed Iqbal
37 papers receiving 402 citations
Peers
Comparison fields: 5 of 89
- Health Informatics 13
- Neurology 57
- Radiology, Nuclear Medicine and Imaging 130
- Artificial Intelligence 167
- Computer Vision and Pattern Recognition 94
Countries citing papers authored by Saeed Iqbal
This map shows the geographic impact of Saeed Iqbal'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 Saeed Iqbal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saeed Iqbal more than expected).
Fields of papers citing papers by Saeed Iqbal
This network shows the impact of papers produced by Saeed Iqbal. 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 Saeed Iqbal. The network helps show where Saeed Iqbal may publish in the future.
Co-authors
The 25 scholars most cited alongside Saeed Iqbal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 80 | |
| 2 | 2015 | 60 | |
| 3 | 2011 | 32 | |
| 4 | 2022 | 23 | |
| 5 | 2023 | 23 | |
| 6 | 2023 | 19 | |
| 7 | 2023 | 17 | |
| 8 | 2022 | 16 | |
| 9 | 2023 | 15 | |
| 10 | 2024 | 12 | |
| 11 | 2024 | 11 | |
| 12 | 2024 | 11 | |
| 13 | 2005 | 11 | |
| 14 | 2005 | 10 | |
| 15 | 2024 | 8 | |
| 16 | 2025 | 8 | |
| 17 | 2003 | 8 | |
| 18 | 2023 | 7 | |
| 19 | 2024 | 7 | |
| 20 | 2024 | 6 |
About Saeed Iqbal
Saeed Iqbal is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Neurology and Computer Networks and Communications, having authored 42 papers that have together received 425 indexed citations. Recurring topics across this work include AI in cancer detection (14 papers), Radiomics and Machine Learning in Medical Imaging (9 papers), Brain Tumor Detection and Classification (8 papers), COVID-19 diagnosis using AI (7 papers), Parallel Computing and Optimization Techniques (4 papers), Advanced Data Storage Technologies (4 papers), Privacy-Preserving Technologies in Data (4 papers) and Neural Networks and Applications (3 papers). The work is most often cited by research in Health Informatics (13 citations), Neurology (57 citations), Radiology, Nuclear Medicine and Imaging (130 citations), Artificial Intelligence (167 citations) and Computer Vision and Pattern Recognition (94 citations). Saeed Iqbal has collaborated with scholars based in Pakistan, Saudi Arabia and United Kingdom. Frequent co-authors include Adnan N. Qureshi, Jianqiang Li, Tariq Mahmood, Khursheed Aurangzeb, Musaed Alhussein, Meikang Qiu, Peng Zhang, Arbab Waheed Ahmad, Muhammad Shahid Anwar and Chankil Lee. Their work appears in journals such as IEEE Access, IEEE Transactions on Consumer Electronics, Cognitive Computation, Journal of Parallel and Distributed Computing and Information Processing & Management.
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.