Samar Mohamed
Impact in
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- Medical Image Segmentation Techniques
- Video Surveillance and Tracking Methods
Papers in
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- Spectroscopy and Chemometric Analyses 6
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- Medical Image Segmentation Techniques 7
- Image and Signal Denoising Methods 3
- Co-authors
- Magdy M. A. Salama (12 shared papers)El‐Sayed R. El‐Sayed (3 shared papers)M.M.A. Salama (2 shared papers)Nura Musa Tahir (1 shared paper)Ehab Fahmy El-Saadany (6 shared papers)Abdullah Antar Saber (1 shared paper)Kamilia S. Rizkalla (4 shared papers)Mohamed S. Kamel (3 shared papers)
In The Last Decade
Samar Mohamed
36 papers receiving 424 citations
Peers
Comparison fields: 5 of 99
- Computer Vision and Pattern Recognition 104
- Computational Mathematics 2
- Biophysics 16
- Artificial Intelligence 75
- Materials Chemistry 98
Countries citing papers authored by Samar Mohamed
This map shows the geographic impact of Samar Mohamed'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 Samar Mohamed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samar Mohamed more than expected).
Fields of papers citing papers by Samar Mohamed
This network shows the impact of papers produced by Samar Mohamed. 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 Samar Mohamed. The network helps show where Samar Mohamed may publish in the future.
Co-authors
The 25 scholars most cited alongside Samar Mohamed, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 70 | |
| 2 | 2010 | 50 | |
| 3 | 2008 | 36 | |
| 4 | 2021 | 30 | |
| 5 | 2023 | 29 | |
| 6 | 2005 | 29 | |
| 7 | 2019 | 21 | |
| 8 | 2005 | 20 | |
| 9 | 2015 | 19 | |
| 10 | 2019 | 17 | |
| 11 | 2020 | 12 | |
| 12 | 2007 | 11 | |
| 13 | 2005 | 11 | |
| 14 | 2024 | 10 | |
| 15 | 2007 | 10 | |
| 16 | 2019 | 9 | |
| 17 | 2004 | 8 | |
| 18 | 2006 | 6 | |
| 19 | 2008 | 6 | |
| 20 | Therapeutic efficacy of seaweed extract (Ulva Fasciata Delile) against invasive candidiasis in mice. | 2019 | 5 |
About Samar Mohamed
Samar Mohamed is a scholar working on Analytical Chemistry, Computer Vision and Pattern Recognition, Biophysics, Aquatic Science and Artificial Intelligence, having authored 42 papers that have together received 450 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (7 papers), Spectroscopy and Chemometric Analyses (6 papers), AI in cancer detection (6 papers), Nanoparticles: synthesis and applications (4 papers), Seaweed-derived Bioactive Compounds (3 papers), Image and Signal Denoising Methods (3 papers), Spectroscopy Techniques in Biomedical and Chemical Research (3 papers) and Prostate Cancer Diagnosis and Treatment (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (104 citations), Computational Mathematics (2 citations), Biophysics (16 citations), Artificial Intelligence (75 citations) and Materials Chemistry (98 citations). Samar Mohamed has collaborated with scholars based in Egypt, Canada and Italy. Frequent co-authors include Magdy M. A. Salama, El‐Sayed R. El‐Sayed, M.M.A. Salama, Nura Musa Tahir, Ehab Fahmy El-Saadany, Abdullah Antar Saber, Kamilia S. Rizkalla, Mohamed S. Kamel, Joseph L. Chin and Gamal M. El-Sherbiny. Their work appears in journals such as Annals of Animal Science, Journal of Imaging Informatics in Medicine, Applied Microbiology and Biotechnology, Saudi Journal of Biological Sciences and Transition Metal Chemistry.
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.