Gehad Ismail Sayed

2.4k total citations · 2 hit papers
38 papers, 1.6k citations indexed

About

Gehad Ismail Sayed is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Gehad Ismail Sayed has authored 38 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 5 papers in Computational Theory and Mathematics. Recurrent topics in Gehad Ismail Sayed's work include Metaheuristic Optimization Algorithms Research (13 papers), Evolutionary Algorithms and Applications (7 papers) and Advanced Multi-Objective Optimization Algorithms (4 papers). Gehad Ismail Sayed is often cited by papers focused on Metaheuristic Optimization Algorithms Research (13 papers), Evolutionary Algorithms and Applications (7 papers) and Advanced Multi-Objective Optimization Algorithms (4 papers). Gehad Ismail Sayed collaborates with scholars based in Egypt, Kuwait and Czechia. Gehad Ismail Sayed's co-authors include Aboul Ella Hassanien, Mohamed H. Haggag, Ghada Khoriba, Ahmad Taher Azar, Alaa Tharwat, Mona Soliman, Ashraf Darwish, Ashraf Darwish, Václav Snåšel and Mona A. S. Ali and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Environmental Science and Pollution Research.

In The Last Decade

Gehad Ismail Sayed

37 papers receiving 1.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Feature selection via a novel chaotic crow search algorithm

2017 361 citations Gehad Ismail Sayed, Aboul Ella Hassanien et al. profile →
A novel chaotic salp swarm algorithm for global optimization and feature selection

2018 345 citations Gehad Ismail Sayed, Ghada Khoriba et al. Applied Intelligence profile →

Peers

Gehad Ismail Sayed

CTM

CVPR

EEE

CSE

Rehab Ali Ibrahim Egypt

Yueting Xu China

Qasem Al-Tashi Malaysia

Harun Uğuz Türkiye

Dong Zhao China

Heming Jia China

Hoda Zamani Iran

Emrah Hançer Türkiye

Hang Su China

Rehab Ali Ibrahim Egypt

Gehad Ismail Sayed

981 ×0.9

363 ×1.0

CTM

289 ×1.0

CVPR

179 ×0.9

EEE

136 ×0.9

CSE

Citations per year, relative to Gehad Ismail Sayed Gehad Ismail Sayed (= 1×) peers Rehab Ali Ibrahim

Countries citing papers authored by Gehad Ismail Sayed

Since Specialization

Citations

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

Fields of papers citing papers by Gehad Ismail Sayed

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gehad Ismail 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 Gehad Ismail Sayed. The network helps show where Gehad Ismail Sayed may publish in the future.

Co-authorship network of co-authors of Gehad Ismail Sayed

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Sayed, Gehad Ismail, et al.. (2025). Optimized deep learning in a metaverse environment for autistic child support. International Journal of Information Technology. 18(1). 561–568. 2 indexed citations

Sayed, Gehad Ismail, et al.. (2025). Early Detection of Red Palm Weevil in Agricultural Environment Using Deep Learning. Optical Memory and Neural Networks. 34(1). 63–76.

Sayed, Gehad Ismail & Aboul Ella Hassanien. (2024). Explainable AI and sand cat optimisation algorithm for water quality classification. International Journal of Intelligent Engineering Informatics. 12(1). 60–84. 1 indexed citations

Sayed, Gehad Ismail, Heba Alshater, & Aboul Ella Hassanien. (2024). Predicting the potential toxicity of the metal oxide nanoparticles using machine learning algorithms. Soft Computing. 28(17-18). 10235–10261. 3 indexed citations

Sayed, Gehad Ismail, et al.. (2024). Neutrosophic set and optimized deep learning for classification of chicken Eimeria species: a practical solution for poultry industry. Environment Development and Sustainability. 1 indexed citations

Sayed, Gehad Ismail, et al.. (2024). Optimized long short-term memory with rough set for sustainable forecasting renewable energy generation. Energy Reports. 11. 6208–6222. 3 indexed citations

Sayed, Gehad Ismail, Mohamed Abd Elfattah, Ashraf Darwish, & Aboul Ella Hassanien. (2024). Intelligent and sustainable waste classification model based on multi-objective beluga whale optimization and deep learning. Environmental Science and Pollution Research. 31(21). 31492–31510. 7 indexed citations

Sayed, Gehad Ismail & Aboul Ella Hassanien. (2024). An optimized and intelligent metaverse intrusion detection system based on rough sets. Internet of Things. 28. 101360–101360. 2 indexed citations

Sayed, Gehad Ismail, et al.. (2024). Circulating miRNA’s biomarkers for early detection of hepatocellular carcinoma in Egyptian patients based on machine learning algorithms. Scientific Reports. 14(1). 4989–4989. 9 indexed citations

10.

Sayed, Gehad Ismail, et al.. (2024). An optimized and interpretable carbon price prediction: Explainable deep learning model. Chaos Solitons & Fractals. 188. 115533–115533. 14 indexed citations

11.

Ahmed, H., et al.. (2023). Multiclass Image Classification Based on Quantum-Inspired Convolutional Neural Network. 3392. 177–187. 2 indexed citations

12.

Sayed, Gehad Ismail, Mona Soliman, & Aboul Ella Hassanien. (2021). A novel melanoma prediction model for imbalanced data using optimized SqueezeNet by bald eagle search optimization. Computers in Biology and Medicine. 136. 104712–104712. 137 indexed citations

13.

Sayed, Gehad Ismail, Ghada Khoriba, & Mohamed H. Haggag. (2021). A novel Chaotic Equilibrium Optimizer Algorithm with S-shaped and V-shaped transfer functions for feature selection. Journal of Ambient Intelligence and Humanized Computing. 13(6). 3137–3162. 30 indexed citations

14.

Sayed, Gehad Ismail. (2021). A novel multilevel thresholding algorithm based on quantum computing for abdominal CT liver images. Evolutionary Intelligence. 16(2). 439–483. 4 indexed citations

15.

Sayed, Gehad Ismail, Ghada Khoriba, & Mohamed H. Haggag. (2019). Hybrid Quantum Salp Swarm Algorithm for Contrast Enhancement of Natural Images. International journal of intelligent engineering and systems. 12(6). 225–235. 6 indexed citations

16.

Sayed, Gehad Ismail & Aboul Ella Hassanien. (2018). A hybrid SA-MFO algorithm for function optimization and engineering design problems. Complex & Intelligent Systems. 4(3). 195–212. 71 indexed citations

17.

Sayed, Gehad Ismail, Ashraf Darwish, & Aboul Ella Hassanien. (2018). A new chaotic multi-verse optimization algorithm for solving engineering optimization problems. Journal of Experimental & Theoretical Artificial Intelligence. 30(2). 293–317. 60 indexed citations

18.

Sayed, Gehad Ismail, Ghada Khoriba, & Mohamed H. Haggag. (2018). A novel chaotic salp swarm algorithm for global optimization and feature selection. Applied Intelligence. 48(10). 3462–3481. 345 indexed citations breakdown →

19.

Sayed, Gehad Ismail & Aboul Ella Hassanien. (2017). Moth-flame swarm optimization with neutrosophic sets for automatic mitosis detection in breast cancer histology images. Applied Intelligence. 47(2). 397–408. 51 indexed citations

20.

Ali, Mona A. S., et al.. (2015). Detection of Breast Abnormalities of Thermograms based on a New Segmentation Method. SHILAP Revista de lepidopterología. 5. 255–261. 46 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.

Explore authors with similar magnitude of impact