Samar Mohamed

30 papers receiving 349 citations

Peers

Samar Mohamed
Comparison fields: 5 of 95
  • Computational Mathematics 2
  • Computer Vision and Pattern Recognition 66
  • Aquatic Science 15
  • Hardware and Architecture 13
  • Materials Chemistry 87
Replace Ruilin Li with:
Ruilin Li China
Xiaojing Tian China
Ajeet Kumar Singh India
Kejun Zhong China
Shufang Zhang China
Zhiyuan Gong China
Ruihao Liu China
Samar Mohamed relative to Ruilin Li China Ruilin Li's profile →
Citations per field
00.5×2.7×
Ruilin Li · 1×
Citations per year

Countries citing papers authored by Samar Mohamed

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Samar Mohamed Line = papers co-authored together Samar Mohamed links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202164
2 201043
3 200828
4 202127
5 200527
6 202322
7 201921
8 201519
9 200518
10 201915
11 202011
12 20079
13 20199
14 20247
15 20085
16 20185
17
Therapeutic efficacy of seaweed extract (Ulva Fasciata Delile) against invasive candidiasis in mice.
20195
18 20064
19 20063
20 20093

About Samar Mohamed

Samar Mohamed is a scholar working on Computer Vision and Pattern Recognition, Plant Science, Analytical Chemistry, Materials Chemistry and Molecular Biology, having authored 35 papers that have together received 366 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (4 papers), Spectroscopy and Chemometric Analyses (4 papers), Nanoparticles: synthesis and applications (4 papers), Seaweed-derived Bioactive Compounds (3 papers), AI in cancer detection (3 papers), Medicinal Plant Research (3 papers), Microbial Metabolism and Applications (2 papers) and Prostate Cancer Diagnosis and Treatment (2 papers). The work is most often cited by research in Computational Mathematics (2 citations), Computer Vision and Pattern Recognition (66 citations), Aquatic Science (15 citations), Hardware and Architecture (13 citations) and Materials Chemistry (87 citations). Samar Mohamed has collaborated with scholars based in Egypt, Canada and United Kingdom. Frequent co-authors include M.M.A. Salama, El‐Sayed R. El‐Sayed, M.M.A. Salama, Nura Musa Tahir, Abdullah A. Saber, Ehab F. El‐Saadany, Mohamed S. Kamel, Joseph L. Chin, Kamilia Rizkalla and Harry Schmidt. Their work appears in journals such as Current Microbiology, Saudi Journal of Biological Sciences, Annals of Animal Science, Applied Microbiology and Biotechnology 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.

Explore authors with similar magnitude of impact