Mohammed Ghazal
- Radiology, Nuclear Medicine and Imaging top 1%
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 2%
- Pulmonary and Respiratory Medicine top 10%
- Cognitive Neuroscience top 5%
- Co-authors
- Ayman El‐BazAli MahmoudAhmed ShalabyAhmed SolimanMohammad AlkhedherFahmi KhalifaRobert KeyntonMohamad Ramadan
- Topics
- Radiomics and Machine Learning in Medical Imaging (62 papers)Retinal Imaging and Analysis (43 papers)AI in cancer detection (28 papers)
- Journals
- SHILAP Revista de lepidopterologíaRenewable and Sustainable Energy ReviewsPLoS ONE
- Partner nations
- United Arab EmiratesUnited StatesEgypt
In The Last Decade
Mohammed Ghazal
278 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 172
- Radiology, Nuclear Medicine and Imaging 1.3k
- Computer Vision and Pattern Recognition 685
- Artificial Intelligence 570
- Pulmonary and Respiratory Medicine 385
- Cognitive Neuroscience 343
Countries citing papers authored by Mohammed Ghazal
This map shows the geographic impact of Mohammed Ghazal'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 Mohammed Ghazal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammed Ghazal more than expected).
Fields of papers citing papers by Mohammed Ghazal
This network shows the impact of papers produced by Mohammed Ghazal. 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 Mohammed Ghazal. The network helps show where Mohammed Ghazal may publish in the future.
Co-authorship network of co-authors of Mohammed Ghazal
This figure shows the co-authorship network connecting the top 25 collaborators of Mohammed Ghazal. A scholar is included among the top collaborators of Mohammed Ghazal 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 Mohammed Ghazal. Mohammed Ghazal 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 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 4 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 4 | |
| 12 | 18 | |
| 13 | 14 | |
| 14 | 83 | |
| 15 | 26 | |
| 16 | 8 | |
| 17 | 20 | |
| 18 | 17 | |
| 19 | 38 | |
| 20 | 15 |
About Mohammed Ghazal
Mohammed Ghazal is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Ophthalmology, having authored 318 papers that have together received 3.3k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (62 papers), Retinal Imaging and Analysis (43 papers) and AI in cancer detection (28 papers). The work is most often cited by research in Health Informatics (103 citations), Radiology, Nuclear Medicine and Imaging (1.3k citations) and Health Information Management (185 citations). Mohammed Ghazal has collaborated with scholars based in United Arab Emirates, United States and Egypt. Frequent co-authors include Ayman El‐Baz, Ali Mahmoud, Ahmed Shalaby, Ahmed Soliman, Mohammad Alkhedher, Fahmi Khalifa, Robert Keynton, Mohamad Ramadan, A. Amer and Mohamed Abou El‐Ghar. Their work appears in journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and PLoS ONE.
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.