Benjamin Doerr
Benjamin Doerr publishes mostly in Artificial Intelligence, Computational Theory and Mathematics and Molecular Biology, on topics such as Evolutionary Algorithms and Applications, Metaheuristic Optimization Algorithms Research and Advanced Multi-Objective Optimization Algorithms.
- World rank
- #1,253,317 of 7,710,434 ranked researchers
- Rank in France
- #57,399 of 324,115
- Works
- 60
- Citations
- 975
- Citations per work
- 16.3
What does Benjamin Doerr research?
Benjamin Doerr's work is mostly in Computer Science (77%), Biochemistry, Genetics and Molecular Biology (4%), Mathematics (2%).
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 Sciences4879.6%
- Computer Science4677.1%
- Mathematics22.5%
- Everything else814.1%
- Life Sciences34.4%
- Social Sciences11.9%
- Decision Sciences11.9%
- 1Artificial Intelligence62% of their works
- 2Computational Theory and Mathematics15% of their works
- 3Molecular Biology2% of their works
- 4Statistics and Probability2% of their works
- 5Management Science and Operations Research2% of their works
- 6Genetics2% of their works
Research topics
Which keywords describe Benjamin Doerr's research?
The keywords of their largest research topics: Evolutionary Algorithms, Multiobjective Optimization, Particle Swarm Optimization, Genetic Programming, Machine Learning, Ant Colony Optimization, Differential Evolution and Genetic Algorithm.
- Adaptation
- Bayesian Networks
- Monte Carlo Tree Search
- Reinforcement Learning
- Compression
- Genetic Algorithm
- Ant Colony Optimization
- Genetic Programming
- Multiobjective Optimization
- Evolutionary Algorithms
- Particle Swarm Optimization
- Machine Learning
- Differential Evolution
- Surrogate Modeling
- Deep Learning
- Suffix Arrays
- Procedural Content Generation
- Causal Inference
- Evolution
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. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.
All 19 words, with their numbers
- Evolutionary Algorithms993 topics
- Multiobjective Optimization622 topics
- Particle Swarm Optimization602 topics
- Genetic Programming391 topic
- Machine Learning391 topic
- Ant Colony Optimization371 topic
- Differential Evolution371 topic
- Genetic Algorithm231 topic
- Surrogate Modeling231 topic
- Compression51 topic
- Deep Learning51 topic
- Reinforcement Learning51 topic
- Suffix Arrays51 topic
- Monte Carlo Tree Search41 topic
- Procedural Content Generation41 topic
- Bayesian Networks31 topic
- Causal Inference31 topic
- Adaptation21 topic
- Evolution21 topic
Where does Benjamin Doerr work?
Benjamin Doerr's main affiliation in the publication record is Laboratoire d'Informatique de l'École Polytechnique, France.
How many publications and citations does Benjamin Doerr have?
OpenAlex counts 60 works and 975 citations for Benjamin Doerr, an h-index of 17, ranking #1,253,317 of 7,710,434 researchers worldwide on the quality score.
Ranked on field-normalised citation 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.
Other researchers named Benjamin Doerr
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