Saqib Qamar
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Radiology, Nuclear Medicine and Imaging
- Neurology top 10%
- Biomedical Engineering
- Co-authors
- Parvez AhmadRan ZhengHai JinLinlin ShenMohd UsamaSalabat KhanSalman QadriMuhammad Azeem Akbar
- Topics
- Advanced Neural Network Applications (9 papers)Medical Image Segmentation Techniques (7 papers)Brain Tumor Detection and Classification (5 papers)
- Partner nations
- ChinaSwedenSaudi Arabia
In The Last Decade
Saqib Qamar
21 papers receiving 364 citations
Peers
Comparison fields: 5 of 101
- Computer Vision and Pattern Recognition 160
- Artificial Intelligence 119
- Radiology, Nuclear Medicine and Imaging 86
- Neurology 79
- Biomedical Engineering 60
Countries citing papers authored by Saqib Qamar
This map shows the geographic impact of Saqib Qamar'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 Saqib Qamar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saqib Qamar more than expected).
Fields of papers citing papers by Saqib Qamar
This network shows the impact of papers produced by Saqib Qamar. 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 Saqib Qamar. The network helps show where Saqib Qamar may publish in the future.
Co-authorship network of co-authors of Saqib Qamar
This figure shows the co-authorship network connecting the top 25 collaborators of Saqib Qamar. A scholar is included among the top collaborators of Saqib Qamar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Saqib Qamar. Saqib Qamar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 13 | |
| 6 | 66 | |
| 7 | 15 | |
| 8 | 36 | |
| 9 | 16 | |
| 10 | 40 | |
| 11 | 3 | |
| 12 | 2 | |
| 13 | 15 | |
| 14 | 5 | |
| 15 | 0 | |
| 16 | 84 | |
| 17 | 14 | |
| 18 | 4 | |
| 19 | 53 | |
| 20 | 4 |
About Saqib Qamar
Saqib Qamar is a scholar working on Neurology, Computer Vision and Pattern Recognition and Biophysics, having authored 22 papers that have together received 382 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (9 papers), Medical Image Segmentation Techniques (7 papers) and Brain Tumor Detection and Classification (5 papers). The work is most often cited by research in Neurology (79 citations), Computer Vision and Pattern Recognition (160 citations) and Health Information Management (35 citations). Saqib Qamar has collaborated with scholars based in China, Sweden and Saudi Arabia. Frequent co-authors include Parvez Ahmad, Ran Zheng, Hai Jin, Linlin Shen, Mohd Usama, Salabat Khan, Salman Qadri, Muhammad Azeem Akbar, Maqbool Khan and Md Belal Bin Heyat. Their work appears in journals such as Scientific Reports, IEEE Access and Future Generation Computer Systems.
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.