Seyedali Mirjalili
Seyedali Mirjalili publishes mostly in Artificial Intelligence, Computational Theory and Mathematics and Electrical and Electronic Engineering, on topics such as Metaheuristic Optimization Algorithms Research, Advanced Multi-Objective Optimization Algorithms and Evolutionary Algorithms and Applications.
- World rank
- #23 of 7,710,434 ranked researchers
- Rank in Australia
- #1 of 140,210
- Works
- 823
- Citations
- 154k
- Citations per work
- 187.7
What does Seyedali Mirjalili research?
Seyedali Mirjalili's work is mostly in Computer Science (51%), Engineering (14%).
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 Sciences53264.6%
- Computer Science41750.7%
- Engineering11413.9%
- Everything else29135.4%
- 1Artificial Intelligence34% of their works
- 2Computational Theory and Mathematics11% of their works
- 3Electrical and Electronic Engineering7% of their works
- 4Computer Vision and Pattern Recognition6% of their works
- 5Control and Systems Engineering3% of their works
- 6Civil and Structural Engineering3% of their works
Research topics
Which keywords describe Seyedali Mirjalili's research?
The keywords of their largest research topics: Evolutionary Algorithms, Particle Swarm Optimization, Ant Colony Optimization, Differential Evolution, Multiobjective Optimization, Genetic Algorithm, Surrogate Modeling and Feature Selection.
- Forecasting
- COVID-19
- Electricity Price Forecasting
- Dimensionality Reduction
- Backpropagation Learning
- Artificial Neural Networks
- Deep Learning
- Classification
- Feature Selection
- Genetic Algorithm
- Differential Evolution
- Particle Swarm Optimization
- Evolutionary Algorithms
- Ant Colony Optimization
- Multiobjective Optimization
- Surrogate Modeling
- Machine Learning
- Genetic Programming
- Neural Networks
- Renewable Energy
- Self-Organizing Maps
- Face Recognition
- Load Forecasting
- Medical Imaging
- Solar Radiation
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. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.
All 25 words, with their numbers
- Evolutionary Algorithms8163 topics
- Particle Swarm Optimization6522 topics
- Ant Colony Optimization4081 topic
- Differential Evolution4081 topic
- Multiobjective Optimization4082 topics
- Genetic Algorithm2441 topic
- Surrogate Modeling2441 topic
- Feature Selection1952 topics
- Machine Learning1872 topics
- Classification1641 topic
- Genetic Programming1641 topic
- Deep Learning913 topics
- Neural Networks632 topics
- Artificial Neural Networks562 topics
- Renewable Energy532 topics
- Backpropagation Learning331 topic
- Self-Organizing Maps331 topic
- Dimensionality Reduction311 topic
- Face Recognition311 topic
- Electricity Price Forecasting301 topic
- Load Forecasting301 topic
- COVID-19281 topic
- Medical Imaging281 topic
- Forecasting231 topic
- Solar Radiation231 topic
Where does Seyedali Mirjalili work?
Seyedali Mirjalili's main affiliation in the publication record is Torrens University Australia, Australia.
How many publications and citations does Seyedali Mirjalili have?
OpenAlex counts 823 works and 154,446 citations for Seyedali Mirjalili, an h-index of 139, ranking #23 of 7,710,434 researchers worldwide on the quality score.
Ranked on field-normalised citation 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.
Other researchers named Seyedali Mirjalili
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