Martin Pelikán
Martin Pelikán publishes mostly in Artificial Intelligence, Control and Systems Engineering and Signal Processing, on topics such as Metaheuristic Optimization Algorithms Research, Evolutionary Algorithms and Applications and Bayesian Modeling and Causal Inference.
- World rank
- #90,306 of 1,633,909 ranked researchers
- Rank in United States
- #39,820 of 358,040
- Works
- 36
- Citations
- 339
- Citations per work
- 9.4
What does Martin Pelikán research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence50% of their works
- 2Control and Systems Engineering8% of their works
- 3Signal Processing4% of their works
- 4Information Systems4% of their works
- 5General Health Professions4% of their works
- 6Economics and Econometrics4% of their works
Research topics
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
- Bayesian Modeling and Causal Inference
- Neural Networks and Applications
- Fault Detection and Control Systems
- Data Mining Algorithms and Applications
- Theoretical and Computational Physics
- Complex Systems and Time Series Analysis
Which keywords describe Martin Pelikán's research?
The keywords of their largest research topics: Evolutionary Algorithms, Machine Learning, Differential Evolution, Particle Swarm Optimization, Bayesian Networks, Causal Inference, Classification and Genetic Programming.
- Phase Transitions
- Frequent Patterns
- Data Mining
- Process Monitoring
- Self-Organizing Maps
- Genetic Programming
- Causal Inference
- Particle Swarm Optimization
- Machine Learning
- Evolutionary Algorithms
- Differential Evolution
- Bayesian Networks
- Classification
- Neural Networks
- Fault Detection
- Critical Phenomena
- Econophysics
- Multifractal Analysis
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 18 words, with their numbers
- Evolutionary Algorithms122 topics
- Machine Learning103 topics
- Differential Evolution71 topic
- Particle Swarm Optimization71 topic
- Bayesian Networks51 topic
- Causal Inference51 topic
- Classification51 topic
- Genetic Programming51 topic
- Neural Networks41 topic
- Self-Organizing Maps41 topic
- Fault Detection31 topic
- Process Monitoring31 topic
- Critical Phenomena21 topic
- Data Mining21 topic
- Econophysics21 topic
- Frequent Patterns21 topic
- Multifractal Analysis21 topic
- Phase Transitions21 topic
Where does Martin Pelikán work?
Martin Pelikán's main affiliation in the publication record is University of Missouri–St. Louis, United States.
How many publications and citations does Martin Pelikán have?
Science Explorer counts 36 works and 339 citations for Martin Pelikán, ranking #90,306 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.