Peter Vamplew
Peter Vamplew publishes mostly in Artificial Intelligence, Computational Theory and Mathematics and Control and Systems Engineering, on topics such as Reinforcement Learning in Robotics, Advanced Multi-Objective Optimization Algorithms and Evolutionary Algorithms and Applications.
- World rank
- #374,310 of 1,633,909 ranked researchers
- Rank in Australia
- #10,703 of 35,497
- Works
- 32
- Citations
- 120
- Citations per work
- 3.8
What does Peter Vamplew research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence46% of their works
- 2Computational Theory and Mathematics12% of their works
- 3Control and Systems Engineering12% of their works
- 4Management Science and Operations Research9% of their works
- 5Human-Computer Interaction6% of their works
- 6Computer Networks and Communications3% of their works
Research topics
- Reinforcement Learning in Robotics
- Advanced Multi-Objective Optimization Algorithms
- Evolutionary Algorithms and Applications
- Metaheuristic Optimization Algorithms Research
- Advanced Control Systems Optimization
- Neural Networks and Applications
- Sentiment Analysis and Opinion Mining
- Adversarial Robustness in Machine Learning
Which keywords describe Peter Vamplew's research?
The keywords of their largest research topics: Evolutionary Algorithms, Deep Learning, Multiobjective Optimization, Particle Swarm Optimization, Neural Networks, Constraint Handling, Machine Learning and Genetic Algorithm.
- Self-Organizing Maps
- Opinion Mining
- Adversarial Examples
- Model Predictive Control
- Differential Evolution
- Ant Colony Optimization
- Robotics
- Genetic Algorithm
- Constraint Handling
- Particle Swarm Optimization
- Deep Learning
- Evolutionary Algorithms
- Multiobjective Optimization
- Neural Networks
- Machine Learning
- Reinforcement Learning
- Surrogate Modeling
- Classification
- Genetic Programming
- Optimization
- Backpropagation Learning
- Robustness
- Sentiment Analysis
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 23 words, with their numbers
- Evolutionary Algorithms103 topics
- Deep Learning74 topics
- Multiobjective Optimization72 topics
- Particle Swarm Optimization72 topics
- Neural Networks63 topics
- Constraint Handling52 topics
- Machine Learning53 topics
- Genetic Algorithm41 topic
- Reinforcement Learning41 topic
- Robotics41 topic
- Surrogate Modeling41 topic
- Ant Colony Optimization31 topic
- Classification31 topic
- Differential Evolution31 topic
- Genetic Programming31 topic
- Model Predictive Control21 topic
- Optimization21 topic
- Adversarial Examples11 topic
- Backpropagation Learning11 topic
- Opinion Mining11 topic
- Robustness11 topic
- Self-Organizing Maps11 topic
- Sentiment Analysis11 topic
Where does Peter Vamplew work?
Peter Vamplew's main affiliation in the publication record is Federation University, Australia.
How many publications and citations does Peter Vamplew have?
Science Explorer counts 32 works and 120 citations for Peter Vamplew, ranking #374,310 of 1,633,909 researchers worldwide on the composite 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.
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