Hoda El-Sayed

438 total citations · 1 hit paper
17 papers, 228 citations indexed

About

Hoda El-Sayed is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Hoda El-Sayed has authored 17 papers receiving a total of 228 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 5 papers in Computer Networks and Communications. Recurrent topics in Hoda El-Sayed's work include Cloud Data Security Solutions (3 papers), Spam and Phishing Detection (2 papers) and Generative Adversarial Networks and Image Synthesis (2 papers). Hoda El-Sayed is often cited by papers focused on Cloud Data Security Solutions (3 papers), Spam and Phishing Detection (2 papers) and Generative Adversarial Networks and Image Synthesis (2 papers). Hoda El-Sayed collaborates with scholars based in United States, France and Czechia. Hoda El-Sayed's co-authors include Ahmed Alsayat, Md Kamruzzaman Sarker, Timothy Oladunni, Staphord Bengesi, John Irungu, Karim Abouelmehdi, Rachid Outbib and Jaafar Gaber and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and IEEE Transactions on Energy Conversion.

In The Last Decade

Hoda El-Sayed

16 papers receiving 216 citations

Hit Papers

Advancements in Generative AI: A Comprehensive Review of ... 2024 2026 2025 2024 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hoda El-Sayed United States 6 82 44 30 27 24 17 228
Atul Rawal United States 5 117 1.4× 40 0.9× 24 0.8× 19 0.7× 31 1.3× 18 231
Sashank Sridhar India 10 94 1.1× 33 0.8× 80 2.7× 13 0.5× 32 1.3× 54 280
Addi Ait‐Mlouk Morocco 9 142 1.7× 26 0.6× 68 2.3× 14 0.5× 11 0.5× 20 249
Parus Khuwaja Pakistan 11 128 1.6× 55 1.3× 36 1.2× 29 1.1× 52 2.2× 26 312
Gloria Cerasela Crişan Romania 8 117 1.4× 23 0.5× 15 0.5× 10 0.4× 47 2.0× 25 284
Yanghe Pan China 6 123 1.5× 37 0.8× 45 1.5× 11 0.4× 14 0.6× 19 255
Anushka Singh India 8 64 0.8× 19 0.4× 28 0.9× 20 0.7× 29 1.2× 25 237
Pranjal Kumar India 6 126 1.5× 42 1.0× 30 1.0× 11 0.4× 77 3.2× 12 343
R. K. Gnanamurthy India 9 79 1.0× 123 2.8× 26 0.9× 20 0.7× 74 3.1× 30 351
Arti Arya India 7 70 0.9× 52 1.2× 85 2.8× 64 2.4× 35 1.5× 58 244

Countries citing papers authored by Hoda El-Sayed

Since Specialization
Citations

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

Fields of papers citing papers by Hoda El-Sayed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hoda El-Sayed. 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 Hoda El-Sayed. The network helps show where Hoda El-Sayed may publish in the future.

Co-authorship network of co-authors of Hoda El-Sayed

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

All Works

17 of 17 papers shown
1.
Bengesi, Staphord, et al.. (2024). Advancements in Generative AI: A Comprehensive Review of GANs, GPT, Autoencoders, Diffusion Model, and Transformers. IEEE Access. 12. 69812–69837. 118 indexed citations breakdown →
3.
El-Sayed, Hoda, et al.. (2024). Evaluating Vision-Language Models for hematology image Classification: Performance Analysis of CLIP and its Biomedical AI Variants. SHILAP Revista de lepidopterología. 578–584. 3 indexed citations
4.
El-Sayed, Hoda, et al.. (2024). EfficientSwin: A Hybrid Model for Blood Cell Classification with Saliency Maps Visualization. SHILAP Revista de lepidopterología. 544–551. 3 indexed citations
5.
Bengesi, Staphord, et al.. (2023). Advancements in Generative AI: A Comprehensive Review of GANs, GPT, Autoencoders, Diffusion Model, and Transformers. arXiv (Cornell University). 4 indexed citations
9.
El-Sayed, Hoda, et al.. (2017). A heuristic attack detection approach using the “least weighted” attributes for cyber security data. 8. 1067–1073. 3 indexed citations
10.
Alsayat, Ahmed & Hoda El-Sayed. (2016). Social media analysis using optimized K-Means clustering. 61–66. 27 indexed citations
11.
Alsayat, Ahmed & Hoda El-Sayed. (2016). Efficient genetic K-Means clustering for health care knowledge discovery. 45–52. 22 indexed citations
12.
Abouelmehdi, Karim, et al.. (2015). A survey of intrusion detection system. 1–6. 28 indexed citations
14.
El-Sayed, Hoda, et al.. (2011). Real-time motion object tracking using GPU. 301–304. 5 indexed citations
15.
El-Sayed, Hoda, et al.. (2010). Real-Time Motion Object Tracking Using GPU and Cell Processor.. Parallel and Distributed Processing Techniques and Applications. 217–221. 1 indexed citations
16.
Gaber, Jaafar, et al.. (2010). Modeling and Simulation of PEM Fuel Cell Thermal Behavior on Parallel Computers. IEEE Transactions on Energy Conversion. 25(3). 768–777. 7 indexed citations
17.
Gaber, Jaafar, et al.. (2007). Simulation of the Fuel Cell Thermal Behavior with Unified Parallel C. 149–152. 2 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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