Saber Elsayed

4.0k citations
124 papers · 2.9k indexed · h-index 32

Impact in

Papers in

Saber Elsayed

118 papers receiving 2.8k citations

Peers

Saber Elsayed
Comparison fields: 5 of 115
  • Computational Theory and Mathematics 1.4k
  • Artificial Intelligence 1.9k
  • Industrial and Manufacturing Engineering 336
  • Management Science and Operations Research 330
  • Control and Systems Engineering 289
Replace Shi-Zheng Zhao with:
Shi-Zheng Zhao Singapore
Sanaz Mostaghim Germany
Mustafa Servet Kıran Türkiye
Matej Črepinšek Slovenia
Hemant Kumar Singh Australia
Hai‐Lin Liu China
Chaoli Sun China
Luís Paquete Portugal
Mohammad Nabi Omidvar Australia
Luigi Barone Australia
Saber Elsayed relative to Shi-Zheng Zhao Singapore Shi-Zheng Zhao's profile →
Citations per field
00.5×1.5×1.9×
Shi-Zheng Zhao · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Saber Elsayed, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Saber Elsayed Line = papers co-authored together Saber Elsayed links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 124 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013225
2 2013160
3 2020156
4 2011148
5 2012130
6 2015127
7 201197
8 201171
9 201761
10 201760
11 201456
12 201654
13 201454
14 201446
15 201744
16 201844
17 201944
18 201243
19 201142
20 202141

About Saber Elsayed

Saber Elsayed is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Management Science and Operations Research, Industrial and Manufacturing Engineering and Computer Networks and Communications, having authored 124 papers that have together received 2.9k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (73 papers), Advanced Multi-Objective Optimization Algorithms (68 papers), Evolutionary Algorithms and Applications (53 papers), Resource-Constrained Project Scheduling (18 papers), Scheduling and Optimization Algorithms (11 papers), Electric Power System Optimization (8 papers), Distributed Control Multi-Agent Systems (7 papers) and BIM and Construction Integration (7 papers). The work is most often cited by research in Computational Theory and Mathematics (1.4k citations), Artificial Intelligence (1.9k citations), Industrial and Manufacturing Engineering (336 citations), Management Science and Operations Research (330 citations) and Control and Systems Engineering (289 citations). Saber Elsayed has collaborated with scholars based in Australia, Mexico and Egypt. Frequent co-authors include Ruhul Sarker, Daryl Essam, Tapabrata Ray, Karam M. Sallam, Forhad Zaman, Carlos A. Coello Coello, Michael J. Ryan, Ripon K. Chakrabortty, Ali Ahrari and Efrén Mezura‐Montes. Their work appears in journals such as IEEE Access, Information Sciences, Applied Soft Computing, IEEE Transactions on Evolutionary Computation and Swarm and Evolutionary Computation.

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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