Saeed Iqbal
Impact in
- Health Informatics top 10%
- Neurology top 10%
- Brain Tumor Detection and Classification
Papers in
-
- AI in cancer detection 15
- Privacy-Preserving Technologies in Data 6
-
- Radiomics and Machine Learning in Medical Imaging 9
- COVID-19 diagnosis using AI 8
- Co-authors
- Adnan N. Qureshi (24 shared papers)Tariq Mahmood (3 shared papers)Jianqiang Li (3 shared papers)Khursheed Aurangzeb (18 shared papers)Musaed Alhussein (16 shared papers)Peng Zhang (1 shared paper)Meikang Qiu (1 shared paper)Arbab Waheed Ahmad (1 shared paper)
- Journals
- IEEE Access (3 papers)Cognitive Computation (2 papers)Journal of Parallel and Distributed Computing (2 papers)IEEE Transactions on Consumer Electronics (2 papers)Information Processing & Management (2 papers)
- Partner nations
- PakistanSaudi ArabiaUnited Kingdom
In The Last Decade
Saeed Iqbal
40 papers receiving 505 citations
Peers
Comparison fields: 5 of 97
- Health Informatics 14
- Neurology 59
- Radiology, Nuclear Medicine and Imaging 134
- Artificial Intelligence 195
- Computer Vision and Pattern Recognition 111
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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 93 | |
| 2 | 2015 | 79 | |
| 3 | 2011 | 40 | |
| 4 | 2022 | 30 | |
| 5 | 2023 | 26 | |
| 6 | 2023 | 21 | |
| 7 | 2023 | 19 | |
| 8 | 2023 | 18 | |
| 9 | 2022 | 16 | |
| 10 | 2024 | 14 | |
| 11 | 2005 | 13 | |
| 12 | 2005 | 13 | |
| 13 | 2024 | 12 | |
| 14 | 2024 | 12 | |
| 15 | 2018 | 11 | |
| 16 | 2024 | 10 | |
| 17 | 2025 | 10 | |
| 18 | 2024 | 10 | |
| 19 | 2003 | 9 | |
| 20 | 2023 | 8 |
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 46 papers that have together received 527 indexed citations. Recurring topics across this work include AI in cancer detection (15 papers), Radiomics and Machine Learning in Medical Imaging (9 papers), Brain Tumor Detection and Classification (8 papers), COVID-19 diagnosis using AI (8 papers), Privacy-Preserving Technologies in Data (6 papers), Parallel Computing and Optimization Techniques (5 papers), Advanced Data Storage Technologies (4 papers) and Distributed and Parallel Computing Systems (4 papers). The work is most often cited by research in Health Informatics (14 citations), Neurology (59 citations), Radiology, Nuclear Medicine and Imaging (134 citations), Artificial Intelligence (195 citations) and Computer Vision and Pattern Recognition (111 citations). Saeed Iqbal has collaborated with scholars based in Pakistan, Saudi Arabia and United Kingdom. Frequent co-authors include Adnan N. Qureshi, Tariq Mahmood, Jianqiang Li, Khursheed Aurangzeb, Musaed Alhussein, Peng Zhang, Meikang Qiu, Arbab Waheed Ahmad, Chankil Lee and Naeem Jan. Their work appears in journals such as IEEE Access, Cognitive Computation, Journal of Parallel and Distributed Computing, IEEE Transactions on Consumer Electronics 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.