Shereen Fouad
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Radiology, Nuclear Medicine and Imaging
- Computer Networks and Communications
- Information Systems
- Co-authors
- Peter TiňoGabriel LandiniDavid RandellAntony GaltonSomak RaychaudhuryPetra SchneiderHisham MehannaPaul Kearney
- Topics
- Image Retrieval and Classification Techniques (6 papers)AI in cancer detection (5 papers)Medical Image Segmentation Techniques (3 papers)
- Partner nations
- United KingdomUnited Arab EmiratesEgypt
In The Last Decade
Shereen Fouad
21 papers receiving 225 citations
Peers
Comparison fields: 5 of 83
- Artificial Intelligence 118
- Computer Vision and Pattern Recognition 73
- Radiology, Nuclear Medicine and Imaging 43
- Computer Networks and Communications 18
- Information Systems 16
Countries citing papers authored by Shereen Fouad
This map shows the geographic impact of Shereen Fouad'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 Shereen Fouad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shereen Fouad more than expected).
Fields of papers citing papers by Shereen Fouad
This network shows the impact of papers produced by Shereen Fouad. 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 Shereen Fouad. The network helps show where Shereen Fouad may publish in the future.
Co-authorship network of co-authors of Shereen Fouad
This figure shows the co-authorship network connecting the top 25 collaborators of Shereen Fouad. A scholar is included among the top collaborators of Shereen Fouad 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 Shereen Fouad. Shereen Fouad is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 9 | |
| 3 | 6 | |
| 4 | 9 | |
| 5 | 4 | |
| 6 | 11 | |
| 7 | 9 | |
| 8 | 3 | |
| 9 | 4 | |
| 10 | 4 | |
| 11 | Imaging and machine learning methods for assessing HPV in situ hybridisation patterns in oropharyngeal carcinomas | 2 |
| 12 | Epithelium and stroma segmentation using multiscale superpixel clustering. | 1 |
| 13 | 24 | |
| 14 | 6 | |
| 15 | 5 | |
| 16 | 14 | |
| 17 | 41 | |
| 18 | 50 | |
| 19 | 18 | |
| 20 | 1 |
About Shereen Fouad
Shereen Fouad is a scholar working on Health Informatics, Otorhinolaryngology and Computer Vision and Pattern Recognition, having authored 21 papers that have together received 235 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (6 papers), AI in cancer detection (5 papers) and Medical Image Segmentation Techniques (3 papers). The work is most often cited by research in Health Informatics (12 citations), Artificial Intelligence (118 citations) and Computer Vision and Pattern Recognition (73 citations). Shereen Fouad has collaborated with scholars based in United Kingdom, United Arab Emirates and Egypt. Frequent co-authors include Peter Tiňo, Gabriel Landini, David Randell, Antony Galton, Somak Raychaudhury, Petra Schneider, Hisham Mehanna, Paul Kearney, Arvind Rajasekaran and Max Robinson. Their work appears in journals such as PLoS ONE, Journal of Cleaner Production and Neural Computation.
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.