David B. Fogel
David B. Fogel publishes mostly in Artificial Intelligence, Computational Theory and Mathematics and Molecular Biology, on topics such as Evolutionary Algorithms and Applications, Metaheuristic Optimization Algorithms Research and Neural Networks and Applications.
- World rank
- #237,039 of 7,710,434 ranked researchers
- Rank in United States
- #87,374 of 1,627,098
- Works
- 362
- Citations
- 18k
- Citations per work
- 50.7
What does David B. Fogel research?
David B. Fogel's work is mostly in Computer Science (57%), Biochemistry, Genetics and Molecular Biology (4%), Social 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 Sciences21358.9%
- Computer Science20656.8%
- Engineering82.1%
- Everything else11030.4%
- Social Sciences246.5%
- Life Sciences154.2%
- 1Artificial Intelligence49% of their works
- 2Computational Theory and Mathematics8% of their works
- 3Molecular Biology4% of their works
- 4Sociology and Political Science3% of their works
- 5Economics and Econometrics3% of their works
- 6Control and Systems Engineering2% of their works
Research topics
- Evolutionary Algorithms and Applications
- Metaheuristic Optimization Algorithms Research
- Neural Networks and Applications
- Advanced Multi-Objective Optimization Algorithms
- Artificial Intelligence in Games
- Evolutionary Game Theory and Cooperation
- Reinforcement Learning in Robotics
- Evolution and Genetic Dynamics
Which keywords describe David B. Fogel'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.
- Adaptation
- Reinforcement Learning
- Altruism
- Monte Carlo Tree Search
- Genetic Algorithm
- Backpropagation Learning
- Deep Learning
- Ant Colony Optimization
- Machine Learning
- Multiobjective Optimization
- Evolutionary Algorithms
- Genetic Programming
- Particle Swarm Optimization
- Differential Evolution
- Neural Networks
- Self-Organizing Maps
- Surrogate Modeling
- Procedural Content Generation
- Cooperation
- Robotics
- Evolution
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 Algorithms2833 topics
- Multiobjective Optimization1882 topics
- Genetic Programming1541 topic
- Machine Learning1541 topic
- Particle Swarm Optimization1292 topics
- Ant Colony Optimization951 topic
- Differential Evolution951 topic
- Deep Learning702 topics
- Neural Networks702 topics
- Backpropagation Learning541 topic
- Self-Organizing Maps541 topic
- Genetic Algorithm341 topic
- Surrogate Modeling341 topic
- Monte Carlo Tree Search311 topic
- Procedural Content Generation311 topic
- Altruism191 topic
- Cooperation191 topic
- Reinforcement Learning161 topic
- Robotics161 topic
- Adaptation151 topic
- Evolution151 topic
Where does David B. Fogel work?
David B. Fogel's main affiliation in the publication record is Natural Selection (United States), United States.
How many publications and citations does David B. Fogel have?
OpenAlex counts 362 works and 18,347 citations for David B. Fogel, an h-index of 57, ranking #237,039 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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