Sulaiman Vesal
- Radiology, Nuclear Medicine and Imaging top 10%
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Pulmonary and Respiratory Medicine
- Biomedical Engineering
- Co-authors
- Andreas MaierNishant RavikumarEkta WaliaRichard E. FanGeoffrey A. SonnMirabela RusuIndrani BhattacharyaRonak Kosti
- Topics
- Radiomics and Machine Learning in Medical Imaging (12 papers)Prostate Cancer Diagnosis and Treatment (11 papers)AI in cancer detection (7 papers)
- Cited by
- Health InformaticsRadiology, Nuclear Medicine and ImagingComputer Vision and Pattern Recognition
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Sulaiman Vesal
17 papers receiving 219 citations
Peers
Comparison fields: 5 of 48
- Radiology, Nuclear Medicine and Imaging 118
- Computer Vision and Pattern Recognition 81
- Artificial Intelligence 74
- Pulmonary and Respiratory Medicine 64
- Biomedical Engineering 39
Countries citing papers authored by Sulaiman Vesal
This map shows the geographic impact of Sulaiman Vesal'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 Sulaiman Vesal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sulaiman Vesal more than expected).
Fields of papers citing papers by Sulaiman Vesal
This network shows the impact of papers produced by Sulaiman Vesal. 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 Sulaiman Vesal. The network helps show where Sulaiman Vesal may publish in the future.
Co-authorship network of co-authors of Sulaiman Vesal
This figure shows the co-authorship network connecting the top 25 collaborators of Sulaiman Vesal. A scholar is included among the top collaborators of Sulaiman Vesal 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 Sulaiman Vesal. Sulaiman Vesal 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 | 8 | |
| 6 | 1 | |
| 7 | 6 | |
| 8 | 0 | |
| 9 | 8 | |
| 10 | 22 | |
| 11 | 2 | |
| 12 | 2 | |
| 13 | 46 | |
| 14 | 34 | |
| 15 | 11 | |
| 16 | 18 | |
| 17 | 25 | |
| 18 | 7 | |
| 19 | 5 | |
| 20 | 24 |
About Sulaiman Vesal
Sulaiman Vesal is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Computer Vision and Pattern Recognition, having authored 21 papers that have together received 221 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (12 papers), Prostate Cancer Diagnosis and Treatment (11 papers) and AI in cancer detection (7 papers). The work is most often cited by research in Health Informatics (15 citations), Radiology, Nuclear Medicine and Imaging (118 citations) and Computer Vision and Pattern Recognition (81 citations). Sulaiman Vesal has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Andreas Maier, Nishant Ravikumar, Ekta Walia, Richard E. Fan, Geoffrey A. Sonn, Mirabela Rusu, Indrani Bhattacharya, Ronak Kosti, Yipeng Hu and Yash S. Khandwala. Their work appears in journals such as PLoS ONE, The Journal of Urology 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.