Peter J. Angeline
Peter J. Angeline publishes mostly in Artificial Intelligence, Molecular Biology and Computational Theory and Mathematics, on topics such as Evolutionary Algorithms and Applications, Metaheuristic Optimization Algorithms Research and Neural Networks and Applications.
- World rank
- #1,499,394 of 7,710,434 ranked researchers
- Rank in United States
- #470,011 of 1,627,098
- Works
- 84
- Citations
- 5k
- Citations per work
- 59.1
What does Peter J. Angeline research?
Peter J. Angeline's work is mostly in Computer Science (71%), Biochemistry, Genetics and Molecular Biology (6%), Economics, Econometrics and Finance (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 Sciences5970.8%
- Computer Science5970.8%
- Everything else1518.3%
- Life Sciences55.7%
- Social Sciences45.2%
- 1Artificial Intelligence64% of their works
- 2Molecular Biology6% of their works
- 3Computational Theory and Mathematics6% of their works
- 4Economics and Econometrics3% of their works
- 5Sociology and Political Science2% of their works
- 6Signal Processing2% of their works
Research topics
- Evolutionary Algorithms and Applications
- Metaheuristic Optimization Algorithms Research
- Neural Networks and Applications
- Reinforcement Learning in Robotics
- Advanced Multi-Objective Optimization Algorithms
- Viral Infectious Diseases and Gene Expression in Insects
- Complex Systems and Time Series Analysis
- Evolutionary Game Theory and Cooperation
Which keywords describe Peter J. Angeline's research?
The keywords of their largest research topics: Evolutionary Algorithms, Multiobjective Optimization, Genetic Programming, Machine Learning, Particle Swarm Optimization, Ant Colony Optimization, Differential Evolution and Deep Learning.
- Multifractal Analysis
- Econophysics
- Altruism
- Genetic Algorithm
- Robotics
- Backpropagation Learning
- Deep Learning
- Ant Colony Optimization
- Machine Learning
- Multiobjective Optimization
- Evolutionary Algorithms
- Genetic Programming
- Particle Swarm Optimization
- Differential Evolution
- Neural Networks
- Reinforcement Learning
- Self-Organizing Maps
- Surrogate Modeling
- Cooperation
- Mammalian Cells
- Recombinant Protein
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 21 words, with their numbers
- Evolutionary Algorithms953 topics
- Multiobjective Optimization622 topics
- Genetic Programming551 topic
- Machine Learning551 topic
- Particle Swarm Optimization402 topics
- Ant Colony Optimization331 topic
- Differential Evolution331 topic
- Deep Learning222 topics
- Neural Networks222 topics
- Backpropagation Learning111 topic
- Reinforcement Learning111 topic
- Robotics111 topic
- Self-Organizing Maps111 topic
- Genetic Algorithm71 topic
- Surrogate Modeling71 topic
- Altruism41 topic
- Cooperation41 topic
- Econophysics41 topic
- Mammalian Cells41 topic
- Multifractal Analysis41 topic
- Recombinant Protein41 topic
Where does Peter J. Angeline work?
Peter J. Angeline's main affiliation in the publication record is Natural Selection (United States), United States.
How many publications and citations does Peter J. Angeline have?
OpenAlex counts 84 works and 4,961 citations for Peter J. Angeline, an h-index of 22, ranking #1,499,394 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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