Saber Elsayed

4.0k total citations
124 papers, 2.9k citations indexed

About

Saber Elsayed is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Management Science and Operations Research. According to data from OpenAlex, Saber Elsayed has authored 124 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Artificial Intelligence, 69 papers in Computational Theory and Mathematics and 24 papers in Management Science and Operations Research. Recurrent topics in Saber Elsayed's work include Metaheuristic Optimization Algorithms Research (73 papers), Advanced Multi-Objective Optimization Algorithms (68 papers) and Evolutionary Algorithms and Applications (53 papers). Saber Elsayed is often cited by papers focused on Metaheuristic Optimization Algorithms Research (73 papers), Advanced Multi-Objective Optimization Algorithms (68 papers) and Evolutionary Algorithms and Applications (53 papers). Saber Elsayed collaborates with scholars based in Australia, Mexico and Egypt. Saber Elsayed's co-authors include Ruhul Sarker, Daryl Essam, Tapabrata Ray, Karam M. Sallam, Carlos A. Coello Coello, Forhad Zaman, Michael J. Ryan, Ripon K. Chakrabortty, Ali Ahrari and Efrén Mezura‐Montes and has published in prestigious journals such as IEEE Transactions on Power Systems, Expert Systems with Applications and IEEE Access.

In The Last Decade

Saber Elsayed

118 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Saber Elsayed Australia 32 1.9k 1.4k 422 336 330 124 2.9k
Shi-Zheng Zhao Singapore 10 2.1k 1.1× 2.1k 1.5× 251 0.6× 231 0.7× 307 0.9× 16 3.1k
Hai‐Lin Liu China 25 2.1k 1.1× 2.1k 1.5× 262 0.6× 202 0.6× 391 1.2× 146 3.0k
Sanaz Mostaghim Germany 23 1.4k 0.7× 1.2k 0.8× 250 0.6× 203 0.6× 163 0.5× 148 2.3k
Mustafa Servet Kıran Türkiye 26 1.6k 0.9× 609 0.4× 450 1.1× 508 1.5× 242 0.7× 60 2.6k
Jinghui Zhong China 28 1.9k 1.0× 1.2k 0.9× 191 0.5× 360 1.1× 117 0.4× 130 2.9k
Matej Črepinšek Slovenia 21 1.6k 0.9× 854 0.6× 211 0.5× 242 0.7× 130 0.4× 45 2.5k
Chaoli Sun China 21 1.6k 0.9× 1.5k 1.1× 173 0.4× 152 0.5× 239 0.7× 73 2.3k
Yinan Guo China 25 1.2k 0.6× 797 0.6× 175 0.4× 271 0.8× 180 0.5× 110 2.1k
Hemant Kumar Singh Australia 24 929 0.5× 1.1k 0.7× 130 0.3× 270 0.8× 468 1.4× 145 2.1k

Countries citing papers authored by Saber Elsayed

Since Specialization
Citations

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

Fields of papers citing papers by Saber Elsayed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saber Elsayed

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

All Works

20 of 20 papers shown
1.
Elsayed, Saber, et al.. (2025). Neuro-PSO algorithm for large-scale dynamic optimization. Swarm and Evolutionary Computation. 94. 101865–101865. 3 indexed citations
2.
Abdel-Basset, Mohamed, Reda Mohamed, Karam M. Sallam, & Saber Elsayed. (2025). Efficient algorithms for optimal path planning of unmanned aerial vehicles in complex three-dimensional environments. Knowledge-Based Systems. 316. 113344–113344. 1 indexed citations
3.
Li, Kangjing, Saber Elsayed, Ruhul Sarker, & Daryl Essam. (2024). Multiple landscape measure-based approach for dynamic optimization problems. Swarm and Evolutionary Computation. 88. 101578–101578. 2 indexed citations
4.
Mara, Setyo Tri Windras, Ruhul Sarker, Daryl Essam, & Saber Elsayed. (2024). An Adaptive Memetic Algorithm for a Cost-Optimal Electric Vehicle-Drone Routing Problem. IEEE Transactions on Intelligent Transportation Systems. 25(12). 19619–19632. 3 indexed citations
5.
Liu, Jing, Saber Elsayed, Daryl Essam, et al.. (2024). Large-Scale Project Portfolio Selection and Scheduling Problem: A Comparison of Exact Solvers and Metaheuristics. 1–8. 1 indexed citations
6.
Mara, Setyo Tri Windras, Ruhul Sarker, Daryl Essam, & Saber Elsayed. (2023). Solving electric vehicle–drone routing problem using memetic algorithm. Swarm and Evolutionary Computation. 79. 101295–101295. 31 indexed citations
7.
8.
Harrison, Kyle Robert, et al.. (2022). Generating datasets for the project portfolio selection and scheduling problem. Data in Brief. 42. 108208–108208. 4 indexed citations
9.
Zaman, Forhad, Saber Elsayed, Ruhul Sarker, Daryl Essam, & Carlos A. Coello Coello. (2021). Pro-Reactive Approach for Project Scheduling Under Unpredictable Disruptions. IEEE Transactions on Cybernetics. 52(11). 11299–11312. 4 indexed citations
10.
Ahrari, Ali, Saber Elsayed, Ruhul Sarker, Daryl Essam, & Carlos A. Coello Coello. (2021). Adaptive Multilevel Prediction Method for Dynamic Multimodal Optimization. IEEE Transactions on Evolutionary Computation. 25(3). 463–477. 19 indexed citations
11.
Ahrari, Ali, Saber Elsayed, Ruhul Sarker, Daryl Essam, & Carlos A. Coello Coello. (2021). Static and Dynamic Multimodal Optimization by Improved Covariance Matrix Self-Adaptation Evolution Strategy With Repelling Subpopulations. IEEE Transactions on Evolutionary Computation. 26(3). 527–541. 21 indexed citations
12.
Ahrari, Ali, Saber Elsayed, Ruhul Sarker, Daryl Essam, & Carlos A. Coello Coello. (2021). Modular Analysis and Development of a Genetic Algorithm with Standardized Representation for Resource-Constrained Project Scheduling. UNSWorks (University of New South Wales, Sydney, Australia). 612–619.
13.
Harrison, Kyle Robert, Saber Elsayed, Ivan L. Garanovich, et al.. (2021). A Hybrid Multi-Population Approach to the Project Portfolio Selection and Scheduling Problem for Future Force Design. IEEE Access. 9. 83410–83430. 9 indexed citations
14.
Chakrabortty, Ripon K., et al.. (2021). Quantum-Inspired Differential Evolution for Resource-Constrained Project-Scheduling: Preliminary Study. 1833–1839. 1 indexed citations
15.
Campbell, Benjamin, et al.. (2020). The Limits of Reactive Shepherding Approaches for Swarm Guidance. IEEE Access. 8. 214658–214671. 16 indexed citations
16.
Singh, Hemant Kumar, et al.. (2019). Modulation of Force Vectors for Effective Shepherding of a Swarm: A Bi-Objective Approach. 2941–2948. 5 indexed citations
17.
Elsayed, Saber, Ruhul Sarker, & Carlos A. Coello Coello. (2017). Fuzzy Rule-Based Design of Evolutionary Algorithm for Optimization. IEEE Transactions on Cybernetics. 49(1). 301–314. 21 indexed citations
18.
Zaman, Forhad, Saber Elsayed, Tapabrata Ray, & Ruhul Sarker. (2016). Co-evolutionary approach for strategic bidding in competitive electricity markets. Applied Soft Computing. 51. 1–22. 37 indexed citations
19.
Elsayed, Saber, Ruhul Sarker, & Daryl Essam. (2013). A genetic algorithm for solving the CEC'2013 competition problems on real-parameter optimization. 356–360. 35 indexed citations
20.
Elsayed, Saber, Ruhul Sarker, & Daryl Essam. (2011). Improved genetic algorithm for constrained optimization. 111–115. 8 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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