Michael Kommenda
Michael Kommenda publishes mostly in Artificial Intelligence, Molecular Biology and Electrical and Electronic Engineering, on topics such as Evolutionary Algorithms and Applications, Metaheuristic Optimization Algorithms Research and Viral Infectious Diseases and Gene Expression in Insects.
- World rank
- #1,102,993 of 1,633,909 ranked researchers
- Rank in Austria
- #7,373 of 10,230
- Works
- 36
- Citations
- 62
- Citations per work
- 1.7
What does Michael Kommenda research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence60% of their works
- 2Molecular Biology14% of their works
- 3Electrical and Electronic Engineering7% of their works
- 4Genetics2% of their works
- 5Mechanical Engineering2% of their works
- 6Pharmacology2% of their works
Research topics
- Evolutionary Algorithms and Applications
- Metaheuristic Optimization Algorithms Research
- Viral Infectious Diseases and Gene Expression in Insects
- Machine Learning and Data Classification
- Evolution and Genetic Dynamics
- Microbial Metabolic Engineering and Bioproduction
- Bioinformatics and Genomic Networks
- Bayesian Modeling and Causal Inference
Which keywords describe Michael Kommenda's research?
The keywords of their largest research topics: Evolutionary Algorithms, Classification, Genetic Programming, Machine Learning, Differential Evolution, Particle Swarm Optimization, Mammalian Cells and Recombinant Protein.
- Protein-Protein Interaction Networks
- Genome-Scale Models
- Evolution
- Bayesian Networks
- Noisy Labels
- Recombinant Protein
- Particle Swarm Optimization
- Machine Learning
- Classification
- Evolutionary Algorithms
- Genetic Programming
- Differential Evolution
- Mammalian Cells
- Hyperparameter Optimization
- Adaptation
- Causal Inference
- Gene Set Enrichment Analysis
- Metabolic Engineering
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 Algorithms192 topics
- Classification122 topics
- Genetic Programming101 topic
- Machine Learning101 topic
- Differential Evolution91 topic
- Particle Swarm Optimization91 topic
- Mammalian Cells41 topic
- Recombinant Protein41 topic
- Hyperparameter Optimization21 topic
- Noisy Labels21 topic
- Adaptation11 topic
- Bayesian Networks11 topic
- Causal Inference11 topic
- Evolution11 topic
- Gene Set Enrichment Analysis11 topic
- Genome-Scale Models11 topic
- Metabolic Engineering11 topic
- Protein-Protein Interaction Networks11 topic
Where does Michael Kommenda work?
Michael Kommenda's main affiliation in the publication record is University of Applied Sciences Upper Austria, Austria.
How many publications and citations does Michael Kommenda have?
Science Explorer counts 36 works and 62 citations for Michael Kommenda, ranking #1,102,993 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.
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