Haseeb Hassan
- Radiology, Nuclear Medicine and Imaging top 10%
- Computer Vision and Pattern Recognition top 5%
- Pulmonary and Respiratory Medicine
- Artificial Intelligence top 10%
- Biomedical Engineering
- Co-authors
- Bingding HuangRui LiBin LuoA. PezzarossaRoberto NegroDavide DazziAli Kashif BashirYan Kang
- Topics
- Radiomics and Machine Learning in Medical Imaging (8 papers)Advanced Neural Network Applications (8 papers)Speech and Audio Processing (5 papers)
- Cited by
- Health InformaticsComputer Vision and Pattern RecognitionRadiology, Nuclear Medicine and Imaging
- Journals
- SHILAP Revista de lepidopterologíaNeurologyScientific Reports
- Partner nations
- ChinaPakistanSaudi Arabia
In The Last Decade
Haseeb Hassan
41 papers receiving 496 citations
Peers
Comparison fields: 5 of 93
- Radiology, Nuclear Medicine and Imaging 166
- Computer Vision and Pattern Recognition 151
- Pulmonary and Respiratory Medicine 108
- Artificial Intelligence 93
- Biomedical Engineering 58
Countries citing papers authored by Haseeb Hassan
This map shows the geographic impact of Haseeb Hassan'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 Haseeb Hassan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haseeb Hassan more than expected).
Fields of papers citing papers by Haseeb Hassan
This network shows the impact of papers produced by Haseeb Hassan. 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 Haseeb Hassan. The network helps show where Haseeb Hassan may publish in the future.
Co-authorship network of co-authors of Haseeb Hassan
This figure shows the co-authorship network connecting the top 25 collaborators of Haseeb Hassan. A scholar is included among the top collaborators of Haseeb Hassan 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 Haseeb Hassan. Haseeb Hassan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 9 | |
| 4 | 8 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 5 | |
| 9 | 12 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 6 | |
| 14 | 0 | |
| 15 | 9 | |
| 16 | 38 | |
| 17 | 5 | |
| 18 | 43 | |
| 19 | 8 | |
| 20 | 7 |
About Haseeb Hassan
Haseeb Hassan is a scholar working on Health Informatics, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 45 papers that have together received 514 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (8 papers), Advanced Neural Network Applications (8 papers) and Speech and Audio Processing (5 papers). The work is most often cited by research in Health Informatics (14 citations), Computer Vision and Pattern Recognition (151 citations) and Radiology, Nuclear Medicine and Imaging (166 citations). Haseeb Hassan has collaborated with scholars based in China, Pakistan and Saudi Arabia. Frequent co-authors include Bingding Huang, Rui Li, Bin Luo, A. Pezzarossa, Roberto Negro, Davide Dazzi, Ali Kashif Bashir, Yan Kang, Rashid Abbasi and Rabbia Mahum. Their work appears in journals such as SHILAP Revista de lepidopterología, Neurology and Scientific Reports.
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.