Jorge Dantas de Melo
Jorge Dantas de Melo publishes mostly in Artificial Intelligence, Control and Systems Engineering and Industrial and Manufacturing Engineering, on topics such as Neural Networks and Applications, Metaheuristic Optimization Algorithms Research and Evolutionary Algorithms and Applications.
- World rank
- #5,891,931 of 7,710,434 ranked researchers
- Rank in Brazil
- #137,472 of 253,246
- Works
- 52
- Citations
- 300
- Citations per work
- 5.8
What does Jorge Dantas de Melo research?
Jorge Dantas de Melo's work is mostly in Computer Science (44%), Engineering (26%).
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 Sciences3669.8%
- Computer Science2343.9%
- Engineering1325.9%
- Everything else1630.2%
- 1Artificial Intelligence32% of their works
- 2Control and Systems Engineering12% of their works
- 3Industrial and Manufacturing Engineering9% of their works
- 4Computer Networks and Communications6% of their works
- 5Electrical and Electronic Engineering6% of their works
- 6Computational Theory and Mathematics5% of their works
Research topics
- Neural Networks and Applications
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
- Fault Detection and Control Systems
- Scheduling and Optimization Algorithms
- Face and Expression Recognition
- Reinforcement Learning in Robotics
- Advanced Multi-Objective Optimization Algorithms
Which keywords describe Jorge Dantas de Melo's research?
The keywords of their largest research topics: Evolutionary Algorithms, Deep Learning, Neural Networks, Machine Learning, Feature Selection, Particle Swarm Optimization, Backpropagation Learning and Multiobjective Optimization.
- Surrogate Modeling
- Reinforcement Learning
- Face Recognition
- Scheduling
- Manufacturing
- Genetic Programming
- Genetic Algorithm
- Ant Colony Optimization
- Multiobjective Optimization
- Particle Swarm Optimization
- Machine Learning
- Deep Learning
- Evolutionary Algorithms
- Neural Networks
- Feature Selection
- Backpropagation Learning
- Self-Organizing Maps
- Differential Evolution
- Classification
- Fault Detection
- Process Monitoring
- Dimensionality Reduction
- Bayesian Optimization
- Robotics
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 24 words, with their numbers
- Evolutionary Algorithms243 topics
- Deep Learning172 topics
- Neural Networks172 topics
- Machine Learning162 topics
- Feature Selection152 topics
- Particle Swarm Optimization152 topics
- Backpropagation Learning131 topic
- Multiobjective Optimization132 topics
- Self-Organizing Maps131 topic
- Ant Colony Optimization111 topic
- Differential Evolution111 topic
- Genetic Algorithm112 topics
- Classification91 topic
- Genetic Programming91 topic
- Fault Detection71 topic
- Manufacturing71 topic
- Process Monitoring71 topic
- Scheduling71 topic
- Dimensionality Reduction61 topic
- Face Recognition61 topic
- Bayesian Optimization41 topic
- Reinforcement Learning41 topic
- Robotics41 topic
- Surrogate Modeling41 topic
Where does Jorge Dantas de Melo work?
Jorge Dantas de Melo's main affiliation in the publication record is Universidade Federal do Rio Grande do Norte, Brazil.
How many publications and citations does Jorge Dantas de Melo have?
OpenAlex counts 52 works and 300 citations for Jorge Dantas de Melo, an h-index of 9, ranking #5,891,931 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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