Ghada Hamed

508 total citations
9 papers, 225 citations indexed

About

Ghada Hamed is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Ghada Hamed has authored 9 papers receiving a total of 225 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Molecular Biology. Recurrent topics in Ghada Hamed's work include AI in cancer detection (5 papers), COVID-19 diagnosis using AI (4 papers) and DNA and Biological Computing (3 papers). Ghada Hamed is often cited by papers focused on AI in cancer detection (5 papers), COVID-19 diagnosis using AI (4 papers) and DNA and Biological Computing (3 papers). Ghada Hamed collaborates with scholars based in Egypt. Ghada Hamed's co-authors include Mohamed F. Tolba, Mohammed Marey, Safaa Amin, Hala M. Ebied and Dina Khattab and has published in prestigious journals such as IEEE Access, Computer Methods and Programs in Biomedicine and Engineering Applications of Artificial Intelligence.

In The Last Decade

Ghada Hamed

9 papers receiving 212 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ghada Hamed Egypt 7 135 116 69 43 37 9 225
Mohammed Marey Egypt 6 128 0.9× 112 1.0× 61 0.9× 38 0.9× 37 1.0× 7 211
Raj Kumar Singh India 5 161 1.2× 120 1.0× 96 1.4× 35 0.8× 32 0.9× 6 256
Hady Ahmady Phoulady United States 7 142 1.1× 57 0.5× 88 1.3× 25 0.6× 33 0.9× 11 210
Mohammed Y. Kamil Iraq 11 192 1.4× 152 1.3× 78 1.1× 51 1.2× 19 0.5× 39 305
K. Thomas Abraham Singapore 7 220 1.6× 138 1.2× 111 1.6× 30 0.7× 40 1.1× 10 308
Azam Hamidinekoo United Kingdom 5 200 1.5× 180 1.6× 61 0.9× 29 0.7× 21 0.6× 13 276
Shaimaa Omran Egypt 8 230 1.7× 188 1.6× 54 0.8× 51 1.2× 22 0.6× 13 384
Nor Aniza Azmi Malaysia 5 199 1.5× 198 1.7× 69 1.0× 52 1.2× 19 0.5× 15 309
Chaojie Ji China 9 125 0.9× 90 0.8× 93 1.3× 27 0.6× 36 1.0× 14 277
Ankit Rajpal India 12 112 0.8× 56 0.5× 119 1.7× 22 0.5× 28 0.8× 25 266

Countries citing papers authored by Ghada Hamed

Since Specialization
Citations

This map shows the geographic impact of Ghada Hamed'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 Ghada Hamed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ghada Hamed more than expected).

Fields of papers citing papers by Ghada Hamed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ghada Hamed. 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 Ghada Hamed. The network helps show where Ghada Hamed may publish in the future.

Co-authorship network of co-authors of Ghada Hamed

This figure shows the co-authorship network connecting the top 25 collaborators of Ghada Hamed. A scholar is included among the top collaborators of Ghada Hamed 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 Ghada Hamed. Ghada Hamed is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Hamed, Ghada, et al.. (2024). HDKD: Hybrid data-efficient knowledge distillation network for medical image classification. Engineering Applications of Artificial Intelligence. 138. 109430–109430. 2 indexed citations
2.
3.
Hamed, Ghada, Mohammed Marey, Safaa Amin, & Mohamed F. Tolba. (2021). Automated Breast Cancer Detection and Classification in Full Field Digital Mammograms Using Two Full and Cropped Detection Paths Approach. IEEE Access. 9. 116898–116913. 29 indexed citations
4.
Hamed, Ghada, Mohammed Marey, Safaa Amin, & Mohamed F. Tolba. (2021). Comparative Study and Analysis of Recent Computer Aided Diagnosis Systems for Masses Detection in Mammograms. 21(1). 33–48. 12 indexed citations
5.
Hamed, Ghada, et al.. (2020). YOLO Based Breast Masses Detection and Classification in Full-Field Digital Mammograms. Computer Methods and Programs in Biomedicine. 200. 105823–105823. 134 indexed citations
6.
Hamed, Ghada, Mohammed Marey, Safaa Amin, & Mohamed F. Tolba. (2018). Hybrid, randomized and high capacity conservative mutations DNA-based steganography for large sized data. Biosystems. 167. 47–61. 7 indexed citations
7.
Hamed, Ghada, et al.. (2018). A Proposed Model for Denoising Breast Mammogram Images. 652–657. 6 indexed citations
8.
9.
Hamed, Ghada, et al.. (2015). Hybrid technique for steganography-based on DNA with n-bits binary coding rule. 95–102. 14 indexed citations

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.

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