Bernhard Sendhoff
Bernhard Sendhoff publishes mostly in Artificial Intelligence, Computational Theory and Mathematics and Computational Mechanics, on topics such as Advanced Multi-Objective Optimization Algorithms, Evolutionary Algorithms and Applications and Metaheuristic Optimization Algorithms Research.
- World rank
- #258,118 of 7,710,434 ranked researchers
- Rank in Germany
- #13,035 of 364,343
- Works
- 259
- Citations
- 13k
- Citations per work
- 48.8
What does Bernhard Sendhoff research?
Bernhard Sendhoff's work is mostly in Computer Science (54%), Engineering (14%), Biochemistry, Genetics and Molecular Biology (4%).
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 Sciences17768.3%
- Computer Science14054.1%
- Engineering3714.2%
- Everything else7328.0%
- Life Sciences103.7%
- 1Artificial Intelligence39% of their works
- 2Computational Theory and Mathematics15% of their works
- 3Computational Mechanics6% of their works
- 4Mechanical Engineering4% of their works
- 5Industrial and Manufacturing Engineering4% of their works
- 6Molecular Biology4% of their works
Research topics
- Advanced Multi-Objective Optimization Algorithms
- Evolutionary Algorithms and Applications
- Metaheuristic Optimization Algorithms Research
- Neural Networks and Applications
- Gene Regulatory Network Analysis
- Evolution and Genetic Dynamics
- 3D Shape Modeling and Analysis
- Turbomachinery Performance and Optimization
Which keywords describe Bernhard Sendhoff's research?
The keywords of their largest research topics: Evolutionary Algorithms, Multiobjective Optimization, Particle Swarm Optimization, Genetic Algorithm, Surrogate Modeling, Genetic Programming, Machine Learning and Ant Colony Optimization.
- Turbine
- Point Clouds
- Adaptation
- Stochastic Gene Expression
- Self-Organizing Maps
- Deep Learning
- Ant Colony Optimization
- Genetic Programming
- Genetic Algorithm
- Multiobjective Optimization
- Evolutionary Algorithms
- Particle Swarm Optimization
- Surrogate Modeling
- Machine Learning
- Differential Evolution
- Neural Networks
- Gene Regulatory Networks
- 3D Reconstruction
- Evolution
- Film Cooling
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 20 words, with their numbers
- Evolutionary Algorithms3153 topics
- Multiobjective Optimization2132 topics
- Particle Swarm Optimization2122 topics
- Genetic Algorithm1101 topic
- Surrogate Modeling1101 topic
- Genetic Programming1031 topic
- Machine Learning1031 topic
- Ant Colony Optimization1021 topic
- Differential Evolution1021 topic
- Deep Learning432 topics
- Neural Networks271 topic
- Self-Organizing Maps271 topic
- Gene Regulatory Networks171 topic
- Stochastic Gene Expression171 topic
- 3D Reconstruction161 topic
- Adaptation161 topic
- Evolution161 topic
- Point Clouds161 topic
- Film Cooling141 topic
- Turbine141 topic
Where does Bernhard Sendhoff work?
Bernhard Sendhoff's main affiliation in the publication record is Honda (Germany), Germany.
How many publications and citations does Bernhard Sendhoff have?
OpenAlex counts 259 works and 12,651 citations for Bernhard Sendhoff, an h-index of 45, ranking #258,118 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.
Discussion
Ask a question or share a note about Bernhard Sendhoff. Posts are plain text and can be reported.