Saúl Zapotecas–Martínez
Saúl Zapotecas–Martínez publishes mostly in Artificial Intelligence, Computational Theory and Mathematics and Civil and Structural Engineering, on topics such as Advanced Multi-Objective Optimization Algorithms, Metaheuristic Optimization Algorithms Research and Evolutionary Algorithms and Applications.
- World rank
- #478,876 of 1,633,909 ranked researchers
- Rank in Mexico
- #2,008 of 8,743
- Works
- 28
- Citations
- 108
- Citations per work
- 3.9
What does Saúl Zapotecas–Martínez research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence33% of their works
- 2Computational Theory and Mathematics30% of their works
- 3Civil and Structural Engineering7% of their works
- 4Statistics, Probability and Uncertainty7% of their works
- 5Information Systems7% of their works
- 6Software4% of their works
Research topics
- Advanced Multi-Objective Optimization Algorithms
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
- Topology Optimization in Engineering
- Probabilistic and Robust Engineering Design
- Reinforcement Learning in Robotics
- Robotic Path Planning Algorithms
- Software Engineering Research
Which keywords describe Saúl Zapotecas–Martínez's research?
The keywords of their largest research topics: Evolutionary Algorithms, Particle Swarm Optimization, Multiobjective Optimization, Genetic Algorithm, Surrogate Modeling, Ant Colony Optimization, Differential Evolution and Machine Learning.
- Sampling-Based Algorithms
- Refactoring
- Deep Learning
- Uncertainty Quantification
- Polynomial Chaos
- Level Set Method
- Classification
- Machine Learning
- Ant Colony Optimization
- Genetic Algorithm
- Particle Swarm Optimization
- Evolutionary Algorithms
- Multiobjective Optimization
- Surrogate Modeling
- Differential Evolution
- Sensitivity Analysis
- Genetic Programming
- Multi-Agent Systems
- Structural Boundary Design
- Code Clone Detection
- Optimal Motion Planning
- Reinforcement Learning
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 22 words, with their numbers
- Evolutionary Algorithms163 topics
- Particle Swarm Optimization132 topics
- Multiobjective Optimization112 topics
- Genetic Algorithm81 topic
- Surrogate Modeling81 topic
- Ant Colony Optimization51 topic
- Differential Evolution51 topic
- Machine Learning42 topics
- Sensitivity Analysis42 topics
- Classification31 topic
- Genetic Programming31 topic
- Level Set Method21 topic
- Multi-Agent Systems22 topics
- Polynomial Chaos21 topic
- Structural Boundary Design21 topic
- Uncertainty Quantification21 topic
- Code Clone Detection11 topic
- Deep Learning11 topic
- Optimal Motion Planning11 topic
- Refactoring11 topic
- Reinforcement Learning11 topic
- Sampling-Based Algorithms11 topic
Where does Saúl Zapotecas–Martínez work?
Saúl Zapotecas–Martínez's main affiliation in the publication record is National Institute of Astrophysics, Optics and Electronics, Mexico.
How many publications and citations does Saúl Zapotecas–Martínez have?
Science Explorer counts 28 works and 108 citations for Saúl Zapotecas–Martínez, ranking #478,876 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.
Papers, co-authors, who cited this work and researchers on the nearest topics are in the interactive view on the map. Is this your page? Request a correction or removal.