Adnan N. Qureshi
- Artificial Intelligence top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Computer Vision and Pattern Recognition top 10%
- Neurology
- Pulmonary and Respiratory Medicine
- Co-authors
- Saeed IqbalJianqiang LiTariq MahmoodKhursheed AurangzebMusaed AlhusseinMuhammad Shahid AnwarAmin UllahAmir Hussain
- Topics
- AI in cancer detection (14 papers)Radiomics and Machine Learning in Medical Imaging (9 papers)COVID-19 diagnosis using AI (8 papers)
- Partner nations
- PakistanSaudi ArabiaUnited Kingdom
In The Last Decade
Adnan N. Qureshi
40 papers receiving 326 citations
Peers
Comparison fields: 5 of 83
- Artificial Intelligence 154
- Radiology, Nuclear Medicine and Imaging 124
- Computer Vision and Pattern Recognition 83
- Neurology 59
- Pulmonary and Respiratory Medicine 30
Countries citing papers authored by Adnan N. Qureshi
This map shows the geographic impact of Adnan N. Qureshi'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 Adnan N. Qureshi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adnan N. Qureshi more than expected).
Fields of papers citing papers by Adnan N. Qureshi
This network shows the impact of papers produced by Adnan N. Qureshi. 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 Adnan N. Qureshi. The network helps show where Adnan N. Qureshi may publish in the future.
Co-authorship network of co-authors of Adnan N. Qureshi
This figure shows the co-authorship network connecting the top 25 collaborators of Adnan N. Qureshi. A scholar is included among the top collaborators of Adnan N. Qureshi 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 Adnan N. Qureshi. Adnan N. Qureshi 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 | 5 | |
| 3 | 1 | |
| 4 | 11 | |
| 5 | 8 | |
| 6 | 2 | |
| 7 | 6 | |
| 8 | 3 | |
| 9 | 80 | |
| 10 | 17 | |
| 11 | 7 | |
| 12 | 3 | |
| 13 | 23 | |
| 14 | 19 | |
| 15 | 15 | |
| 16 | 23 | |
| 17 | 16 | |
| 18 | 19 | |
| 19 | A hybrid method for haemorrhage segmentation in trauma brain CT | 3 |
| 20 | Computer-aided segmentation and estimation of indices in brain CT scans | 3 |
About Adnan N. Qureshi
Adnan N. Qureshi is a scholar working on Health Informatics, Neurology and Computer Science Applications, having authored 42 papers that have together received 335 indexed citations. Recurring topics across this work include AI in cancer detection (14 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and COVID-19 diagnosis using AI (8 papers). The work is most often cited by research in Health Informatics (12 citations), Neurology (59 citations) and Radiology, Nuclear Medicine and Imaging (124 citations). Adnan N. Qureshi has collaborated with scholars based in Pakistan, Saudi Arabia and United Kingdom. Frequent co-authors include Saeed Iqbal, Jianqiang Li, Tariq Mahmood, Khursheed Aurangzeb, Musaed Alhussein, Muhammad Shahid Anwar, Amin Ullah, Amir Hussain, Syed Irtaza Haider and Saaidal Razalli Azzuhri. Their work appears in journals such as Computers in Human Behavior, IEEE Access and IEEE Transactions on Fuzzy 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.