Doaa El-Shahat

489 total citations · 1 hit paper
10 papers, 347 citations indexed

About

Doaa El-Shahat is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Doaa El-Shahat has authored 10 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Electrical and Electronic Engineering and 2 papers in Computer Networks and Communications. Recurrent topics in Doaa El-Shahat's work include Metaheuristic Optimization Algorithms Research (3 papers), Advanced Multi-Objective Optimization Algorithms (2 papers) and Solar Radiation and Photovoltaics (2 papers). Doaa El-Shahat is often cited by papers focused on Metaheuristic Optimization Algorithms Research (3 papers), Advanced Multi-Objective Optimization Algorithms (2 papers) and Solar Radiation and Photovoltaics (2 papers). Doaa El-Shahat collaborates with scholars based in Egypt, United States and Vietnam. Doaa El-Shahat's co-authors include Mohamed Abdel‐Basset, Mohamed Abouhawwash, Mohammed Jameel, Kalyanmoy Deb, A. S. Tolba, Ibrahim M. Hezam, Abduallah Gamal, Karam M. Sallam, Jun Ye and Reda Mohamed and has published in prestigious journals such as Computer Methods in Applied Mechanics and Engineering, Applied Soft Computing and Knowledge-Based Systems.

In The Last Decade

Doaa El-Shahat

10 papers receiving 329 citations

Hit Papers

Exponential distribution optimizer (EDO): a novel math-in... 2023 2026 2024 2025 2023 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Doaa El-Shahat Egypt 4 190 81 61 54 47 10 347
Hardi M. Mohammed Iraq 6 252 1.3× 119 1.5× 59 1.0× 47 0.9× 50 1.1× 10 427
Samaneh Yazdani Iran 10 152 0.8× 64 0.8× 52 0.9× 52 1.0× 57 1.2× 16 341
Elliackin Figueiredo Brazil 11 229 1.2× 100 1.2× 61 1.0× 41 0.8× 38 0.8× 16 369
Binping Zhao China 5 190 1.0× 79 1.0× 46 0.8× 49 0.9× 57 1.2× 6 356
Ratul Chakraborty India 5 244 1.3× 132 1.6× 52 0.9× 38 0.7× 56 1.2× 5 399
Farid MiarNaeimi Iran 6 204 1.1× 115 1.4× 47 0.8× 32 0.6× 33 0.7× 6 368
Shoufei Han China 11 229 1.2× 82 1.0× 43 0.7× 56 1.0× 74 1.6× 19 379

Countries citing papers authored by Doaa El-Shahat

Since Specialization
Citations

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

Fields of papers citing papers by Doaa El-Shahat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Doaa El-Shahat

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

All Works

10 of 10 papers shown
1.
El-Shahat, Doaa & A. S. Tolba. (2025). A Hybridized CNN-LSTM-MLP-KNN Model for Short-Term Solar Irradiance Forecasting. 10. 1–22. 2 indexed citations
3.
Abdel‐Basset, Mohamed, et al.. (2024). Energy-efficient trajectory optimization algorithm based on K-medoids clustering and gradient-based optimizer for multi-UAV-assisted mobile edge computing systems. Sustainable Computing Informatics and Systems. 44. 101045–101045. 1 indexed citations
4.
El-Shahat, Doaa, A. S. Tolba, Mohamed Abouhawwash, & Mohamed Abdel‐Basset. (2024). Machine learning and deep learning models based grid search cross validation for short-term solar irradiance forecasting. Journal Of Big Data. 11(1). 17 indexed citations
5.
El-Shahat, Doaa, et al.. (2024). An Improved Deep Learning Model for Detecting Rice Diseases. 1. 1–10. 3 indexed citations
6.
El-Shahat, Doaa, et al.. (2024). CT Image Segmentation Using Optimization Techniques under Neutrosophic Domain. 16. 1–11. 1 indexed citations
7.
El-Shahat, Doaa, et al.. (2024). Reinforcement Learning in Social Sciences: A Survey. 4. 79–92. 1 indexed citations
8.
Abdel‐Basset, Mohamed, Doaa El-Shahat, Mohammed Jameel, & Mohamed Abouhawwash. (2023). Exponential distribution optimizer (EDO): a novel math-inspired algorithm for global optimization and engineering problems. Artificial Intelligence Review. 56(9). 9329–9400. 138 indexed citations breakdown →
9.
Abdel‐Basset, Mohamed, Doaa El-Shahat, Mohammed Jameel, & Mohamed Abouhawwash. (2022). Young’s double-slit experiment optimizer : A novel metaheuristic optimization algorithm for global and constraint optimization problems. Computer Methods in Applied Mechanics and Engineering. 403. 115652–115652. 132 indexed citations
10.
Abdel‐Basset, Mohamed, Doaa El-Shahat, Kalyanmoy Deb, & Mohamed Abouhawwash. (2020). Energy-aware whale optimization algorithm for real-time task scheduling in multiprocessor systems. Applied Soft Computing. 93. 106349–106349. 50 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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