Saber Elsayed
Impact in
- Computational Theory and Mathematics top 0.2%
- Advanced Multi-Objective Optimization Algorithms
- Artificial Intelligence top 0.5%
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
Papers in
-
- Metaheuristic Optimization Algorithms Research 82
- Evolutionary Algorithms and Applications 60
-
- Advanced Multi-Objective Optimization Algorithms 76
- Co-authors
- Ruhul Sarker (117 shared papers)Daryl Essam (74 shared papers)Tapabrata Ray (17 shared papers)Karam M. Sallam (10 shared papers)Carlos A. Coello Coello (21 shared papers)Forhad Zaman (11 shared papers)Michael J. Ryan (6 shared papers)Ripon K. Chakrabortty (6 shared papers)
In The Last Decade
Saber Elsayed
136 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 115
- Computational Theory and Mathematics 1.6k
- Artificial Intelligence 2.1k
- Industrial and Manufacturing Engineering 372
- Management Science and Operations Research 366
- Control and Systems Engineering 320
Countries citing papers authored by Saber Elsayed
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
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.
All Works
Showing the 20 most-cited of 141 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 246 | |
| 2 | 2020 | 170 | |
| 3 | 2013 | 170 | |
| 4 | 2011 | 165 | |
| 5 | 2012 | 135 | |
| 6 | 2015 | 134 | |
| 7 | 2011 | 109 | |
| 8 | 2011 | 75 | |
| 9 | 2017 | 65 | |
| 10 | 2017 | 64 | |
| 11 | 2014 | 59 | |
| 12 | 2016 | 56 | |
| 13 | 2014 | 56 | |
| 14 | 2011 | 50 | |
| 15 | 2014 | 49 | |
| 16 | 2018 | 47 | |
| 17 | 2016 | 45 | |
| 18 | 2019 | 45 | |
| 19 | 2017 | 45 | |
| 20 | 2015 | 45 |
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 Electrical and Electronic Engineering, having authored 141 papers that have together received 3.3k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (82 papers), Advanced Multi-Objective Optimization Algorithms (76 papers), Evolutionary Algorithms and Applications (60 papers), Resource-Constrained Project Scheduling (21 papers), Scheduling and Optimization Algorithms (13 papers), Electric Power System Optimization (11 papers), Distributed Control Multi-Agent Systems (8 papers) and BIM and Construction Integration (7 papers). The work is most often cited by research in Computational Theory and Mathematics (1.6k citations), Artificial Intelligence (2.1k citations), Industrial and Manufacturing Engineering (372 citations), Management Science and Operations Research (366 citations) and Control and Systems Engineering (320 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, Carlos A. Coello Coello, Forhad Zaman, Michael J. Ryan, Ripon K. Chakrabortty, Ali Ahrari and Efrén Mezura‐Montes. Their work appears in journals such as IEEE Access, Information Sciences, IEEE Transactions on Evolutionary Computation, Applied Soft Computing 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.