Hossam H. Sultan
- Neurology top 2%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Biomedical Engineering
- Co-authors
- Nancy M. SalemWalid Al‐AtabanyEnrico GrisanLaura PeraltaSevan HarputMohammad GhavamiPaul DryburghGe Zhang
- Topics
- Ultrasound Imaging and Elastography (4 papers)Bone health and osteoporosis research (3 papers)Ultrasonics and Acoustic Wave Propagation (2 papers)
- Journals
- IEEE AccessResearch Open (London South Bank University)2022 IEEE International Ultrasonics Symposium (IUS)
- Partner nations
- United KingdomEgyptFrance
In The Last Decade
Hossam H. Sultan
6 papers receiving 461 citations
Hit Papers
Peers
Comparison fields: 5 of 45
- Neurology 440
- Computer Vision and Pattern Recognition 340
- Artificial Intelligence 208
- Radiology, Nuclear Medicine and Imaging 119
- Biomedical Engineering 32
Countries citing papers authored by Hossam H. Sultan
This map shows the geographic impact of Hossam H. Sultan'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 Hossam H. Sultan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hossam H. Sultan more than expected).
Fields of papers citing papers by Hossam H. Sultan
This network shows the impact of papers produced by Hossam H. Sultan. 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 Hossam H. Sultan. The network helps show where Hossam H. Sultan may publish in the future.
Co-authorship network of co-authors of Hossam H. Sultan
This figure shows the co-authorship network connecting the top 25 collaborators of Hossam H. Sultan. A scholar is included among the top collaborators of Hossam H. Sultan 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 Hossam H. Sultan. Hossam H. Sultan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | Multi-Classification of Brain Tumor Images Using Deep Neural Networkbreakdown → | 489 |
About Hossam H. Sultan
Hossam H. Sultan is a scholar working on Orthopedics and Sports Medicine, Radiology, Nuclear Medicine and Imaging and Oral Surgery, having authored 6 papers that have together received 500 indexed citations. Recurring topics across this work include Ultrasound Imaging and Elastography (4 papers), Bone health and osteoporosis research (3 papers) and Ultrasonics and Acoustic Wave Propagation (2 papers). The work is most often cited by research in Neurology (440 citations), Computer Vision and Pattern Recognition (340 citations) and Artificial Intelligence (208 citations). Hossam H. Sultan has collaborated with scholars based in United Kingdom, Egypt and France. Frequent co-authors include Nancy M. Salem, Walid Al‐Atabany, Enrico Grisan, Laura Peralta, Sevan Harput, Mohammad Ghavami, Paul Dryburgh, Ge Zhang, Maya Thanou and Navid Ghavami. Their work appears in journals such as IEEE Access, Research Open (London South Bank University) and 2022 IEEE International Ultrasonics Symposium (IUS).
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.