Sajid Iqbal
- Computer Vision and Pattern Recognition top 2%
- Neurology top 1%
- Artificial Intelligence top 2%
- Radiology, Nuclear Medicine and Imaging top 5%
- Biomedical Engineering
- Co-authors
- Amjad RehmanTanzila SabaZahid MehmoodMuhammad Usman Ghani KhanFarheen RamzanRashid AbbasiSiraj M. KhanMajid Harouni
- Topics
- Brain Tumor Detection and Classification (10 papers)Advanced Neural Network Applications (6 papers)Topic Modeling (5 papers)
- Partner nations
- PakistanSaudi ArabiaUnited Kingdom
In The Last Decade
Sajid Iqbal
43 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 142
- Computer Vision and Pattern Recognition 622
- Neurology 616
- Artificial Intelligence 573
- Radiology, Nuclear Medicine and Imaging 384
- Biomedical Engineering 97
Countries citing papers authored by Sajid Iqbal
This map shows the geographic impact of Sajid 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 Sajid Iqbal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sajid Iqbal more than expected).
Fields of papers citing papers by Sajid Iqbal
This network shows the impact of papers produced by Sajid 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 Sajid Iqbal. The network helps show where Sajid Iqbal may publish in the future.
Co-authorship network of co-authors of Sajid Iqbal
This figure shows the co-authorship network connecting the top 25 collaborators of Sajid Iqbal. A scholar is included among the top collaborators of Sajid Iqbal 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 Sajid Iqbal. Sajid Iqbal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 35 | |
| 7 | 7 | |
| 8 | 43 | |
| 9 | 43 | |
| 10 | 5 | |
| 11 | 9 | |
| 12 | 1 | |
| 13 | 285 | |
| 14 | Investigation of Dynamical Systems with XPPAUT | 0 |
| 15 | 93 | |
| 16 | Capricious menstrual periods among ladies with 10 different professions at district Kohat, KP, Pakistan | 1 |
| 17 | 3 | |
| 18 | 20 | |
| 19 | 8 | |
| 20 | Thrombomodulin expression of primary breast cancer is a predicttor of axillary lymph node metastasis | 1 |
About Sajid Iqbal
Sajid Iqbal is a scholar working on Neurology, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 48 papers that have together received 1.5k indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (10 papers), Advanced Neural Network Applications (6 papers) and Topic Modeling (5 papers). The work is most often cited by research in Neurology (616 citations), Computer Vision and Pattern Recognition (622 citations) and Health Informatics (27 citations). Sajid Iqbal has collaborated with scholars based in Pakistan, Saudi Arabia and United Kingdom. Frequent co-authors include Amjad Rehman, Tanzila Saba, Zahid Mehmood, Muhammad Usman Ghani Khan, Farheen Ramzan, Rashid Abbasi, Siraj M. Khan, Majid Harouni, Abdul Jabbar and Shafiq Hussain. Their work appears in journals such as PLoS ONE, Expert Systems with Applications and IEEE Access.
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.