Saber Mohammed Elsayed
Saber Mohammed Elsayed publishes mostly in Artificial Intelligence, Computational Theory and Mathematics and Management Science and Operations Research, on topics such as Metaheuristic Optimization Algorithms Research, Advanced Multi-Objective Optimization Algorithms and Evolutionary Algorithms and Applications.
- World rank
- #301,366 of 7,710,434 ranked researchers
- Rank in Australia
- #10,587 of 140,210
- Works
- 173
- Citations
- 4.1k
- Citations per work
- 24.0
What does Saber Mohammed Elsayed research?
Saber Mohammed Elsayed's work is mostly in Computer Science (56%), Engineering (12%), Decision Sciences (7%).
Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.
The fields and subfields, with their numbers
- Physical Sciences11767.9%
- Computer Science9756.2%
- Engineering2011.7%
- Everything else4325.1%
- Social Sciences127.0%
- Decision Sciences127.0%
- 1Artificial Intelligence36% of their works
- 2Computational Theory and Mathematics16% of their works
- 3Management Science and Operations Research7% of their works
- 4Electrical and Electronic Engineering6% of their works
- 5Industrial and Manufacturing Engineering6% of their works
- 6Computer Networks and Communications4% of their works
Research topics
- Metaheuristic Optimization Algorithms Research
- Advanced Multi-Objective Optimization Algorithms
- Evolutionary Algorithms and Applications
- Resource-Constrained Project Scheduling
- Scheduling and Optimization Algorithms
- Electric Power System Optimization
- Distributed Control Multi-Agent Systems
- Robotic Path Planning Algorithms
Which keywords describe Saber Mohammed Elsayed's research?
The keywords of their largest research topics: Evolutionary Algorithms, Particle Swarm Optimization, Multiobjective Optimization, Genetic Algorithm, Metaheuristics, Ant Colony Optimization, Differential Evolution and Bayesian Optimization.
- Sampling-Based Algorithms
- Cooperative Control
- Unit Commitment
- Scheduling
- Resource-Constrained
- Multi-Agent Systems
- Genetic Programming
- Bayesian Optimization
- Ant Colony Optimization
- Genetic Algorithm
- Particle Swarm Optimization
- Evolutionary Algorithms
- Multiobjective Optimization
- Metaheuristics
- Differential Evolution
- Surrogate Modeling
- Machine Learning
- Project Scheduling
- Manufacturing
- Economic Dispatch
- Consensus
- Optimal Motion Planning
Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.
All 22 words, with their numbers
- Evolutionary Algorithms2443 topics
- Particle Swarm Optimization1772 topics
- Multiobjective Optimization1502 topics
- Genetic Algorithm1213 topics
- Metaheuristics1152 topics
- Ant Colony Optimization941 topic
- Differential Evolution941 topic
- Bayesian Optimization831 topic
- Surrogate Modeling831 topic
- Genetic Programming671 topic
- Machine Learning671 topic
- Multi-Agent Systems212 topics
- Project Scheduling211 topic
- Resource-Constrained211 topic
- Manufacturing171 topic
- Scheduling171 topic
- Economic Dispatch121 topic
- Unit Commitment121 topic
- Consensus111 topic
- Cooperative Control111 topic
- Optimal Motion Planning101 topic
- Sampling-Based Algorithms101 topic
Where does Saber Mohammed Elsayed work?
Saber Mohammed Elsayed's main affiliation in the publication record is UNSW Sydney, Australia.
How many publications and citations does Saber Mohammed Elsayed have?
OpenAlex counts 173 works and 4,144 citations for Saber Mohammed Elsayed, an h-index of 36, ranking #301,366 of 7,710,434 researchers worldwide on the quality score.
Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.
Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.
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