Sarfaraz Hussein
- Radiology, Nuclear Medicine and Imaging top 5%
- Artificial Intelligence top 5%
- Oncology
- Computer Vision and Pattern Recognition top 10%
- Pulmonary and Respiratory Medicine
- Co-authors
- Ulaş BağcıCandice W. BolanPujan KandelMichael B. WallaceAliasghar MortaziNaji KhosravanJeremy R. BurtJuan E. Corral
- Topics
- Radiomics and Machine Learning in Medical Imaging (4 papers)AI in cancer detection (4 papers)Pancreatic and Hepatic Oncology Research (2 papers)
- Journals
- GastroenterologyIEEE Transactions on Biomedical EngineeringIEEE Transactions on Medical Imaging
- Partner nations
- United StatesPakistanBelgium
In The Last Decade
Sarfaraz Hussein
12 papers receiving 435 citations
Peers
Comparison fields: 5 of 85
- Radiology, Nuclear Medicine and Imaging 248
- Artificial Intelligence 206
- Oncology 102
- Computer Vision and Pattern Recognition 79
- Pulmonary and Respiratory Medicine 64
Countries citing papers authored by Sarfaraz Hussein
This map shows the geographic impact of Sarfaraz Hussein'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 Sarfaraz Hussein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarfaraz Hussein more than expected).
Fields of papers citing papers by Sarfaraz Hussein
This network shows the impact of papers produced by Sarfaraz Hussein. 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 Sarfaraz Hussein. The network helps show where Sarfaraz Hussein may publish in the future.
Co-authorship network of co-authors of Sarfaraz Hussein
This figure shows the co-authorship network connecting the top 25 collaborators of Sarfaraz Hussein. A scholar is included among the top collaborators of Sarfaraz Hussein 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 Sarfaraz Hussein. Sarfaraz Hussein 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 | 5 | |
| 3 | 18 | |
| 4 | 189 | |
| 5 | 1 | |
| 6 | 59 | |
| 7 | 13 | |
| 8 | 120 | |
| 9 | 3 | |
| 10 | 25 | |
| 11 | 3 | |
| 12 | 20 |
About Sarfaraz Hussein
Sarfaraz Hussein is a scholar working on Computer Vision and Pattern Recognition, Biophysics and Radiology, Nuclear Medicine and Imaging, having authored 12 papers that have together received 458 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (4 papers), AI in cancer detection (4 papers) and Pancreatic and Hepatic Oncology Research (2 papers). The work is most often cited by research in Health Informatics (26 citations), Radiology, Nuclear Medicine and Imaging (248 citations) and Artificial Intelligence (206 citations). Sarfaraz Hussein has collaborated with scholars based in United States, Pakistan and Belgium. Frequent co-authors include Ulaş Bağcı, Candice W. Bolan, Pujan Kandel, Michael B. Wallace, Aliasghar Mortazi, Naji Khosravan, Jeremy R. Burt, Juan E. Corral, Waqas Sultani and Medhat Osman. Their work appears in journals such as Gastroenterology, IEEE Transactions on Biomedical Engineering and IEEE Transactions on Medical Imaging.
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.