Richard Dazeley
Richard Dazeley publishes mostly in Artificial Intelligence, Control and Systems Engineering and Computational Theory and Mathematics, on topics such as Reinforcement Learning in Robotics, Evolutionary Algorithms and Applications and Explainable Artificial Intelligence (XAI).
- World rank
- #550,907 of 7,710,434 ranked researchers
- Rank in Australia
- #18,993 of 140,210
- Works
- 140
- Citations
- 2.6k
- Citations per work
- 18.3
What does Richard Dazeley research?
Richard Dazeley's work is mostly in Computer Science (55%), Engineering (7%), Decision Sciences (3%).
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 Sciences8762.4%
- Computer Science7855.4%
- Engineering107.0%
- Everything else4834.5%
- Social Sciences43.1%
- Decision Sciences43.1%
- 1Artificial Intelligence40% of their works
- 2Control and Systems Engineering7% of their works
- 3Computational Theory and Mathematics6% of their works
- 4Information Systems5% of their works
- 5Computer Vision and Pattern Recognition4% of their works
- 6Management Science and Operations Research3% of their works
Research topics
- Reinforcement Learning in Robotics
- Evolutionary Algorithms and Applications
- Explainable Artificial Intelligence (XAI)
- Advanced Multi-Objective Optimization Algorithms
- Robot Manipulation and Learning
- Anomaly Detection Techniques and Applications
- Ethics and Social Impacts of AI
- 3D Shape Modeling and Analysis
Which keywords describe Richard Dazeley's research?
The keywords of their largest research topics: Deep Learning, Neural Networks, Reinforcement Learning, Robotics, Evolutionary Algorithms, Multiobjective Optimization, Machine Learning and Surveillance.
- Point Clouds
- Unsupervised
- Ethics
- Robot Learning
- Surrogate Modeling
- Machine Learning Interpretability
- Genetic Programming
- Surveillance
- Multiobjective Optimization
- Robotics
- Neural Networks
- Deep Learning
- Reinforcement Learning
- Evolutionary Algorithms
- Machine Learning
- Classification
- Interpretable Models
- Genetic Algorithm
- Grasping
- Anomaly Detection
- Fairness
- 3D Reconstruction
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 22 words, with their numbers
- Deep Learning744 topics
- Neural Networks532 topics
- Reinforcement Learning421 topic
- Robotics421 topic
- Evolutionary Algorithms312 topics
- Multiobjective Optimization312 topics
- Machine Learning292 topics
- Surveillance222 topics
- Classification181 topic
- Genetic Programming181 topic
- Interpretable Models141 topic
- Machine Learning Interpretability141 topic
- Genetic Algorithm131 topic
- Surrogate Modeling131 topic
- Grasping121 topic
- Robot Learning121 topic
- Anomaly Detection111 topic
- Ethics111 topic
- Fairness111 topic
- Unsupervised111 topic
- 3D Reconstruction91 topic
- Point Clouds91 topic
Where does Richard Dazeley work?
Richard Dazeley's main affiliation in the publication record is Federation University, Australia.
How many publications and citations does Richard Dazeley have?
OpenAlex counts 140 works and 2,556 citations for Richard Dazeley, an h-index of 25, ranking #550,907 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.
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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