Ben McKay
Ben McKay publishes mostly in Control and Systems Engineering, Artificial Intelligence and Molecular Biology, on topics such as Advanced Control Systems Optimization, Evolutionary Algorithms and Applications and Computational Drug Discovery Methods.
- World rank
- #2,926,768 of 7,710,434 ranked researchers
- Rank in Netherlands
- #60,127 of 107,149
- Works
- 27
- Citations
- 852
- Citations per work
- 31.6
What does Ben McKay research?
Ben McKay's work is mostly in Engineering (33%), Computer Science (22%), Biochemistry, Genetics and Molecular Biology (10%).
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 Sciences1764.5%
- Engineering932.9%
- Computer Science622.4%
- Materials Science29.2%
- Everything else725.0%
- Life Sciences310.5%
- 1Control and Systems Engineering26% of their works
- 2Artificial Intelligence14% of their works
- 3Molecular Biology10% of their works
- 4Materials Chemistry9% of their works
- 5Computational Theory and Mathematics8% of their works
- 6Biomedical Engineering7% of their works
Research topics
- Advanced Control Systems Optimization
- Evolutionary Algorithms and Applications
- Computational Drug Discovery Methods
- Fault Detection and Control Systems
- Process Optimization and Integration
- Analytical Chemistry and Chromatography
- Machine Learning in Materials Science
- Microbial Metabolic Engineering and Bioproduction
Which keywords describe Ben McKay's research?
The keywords of their largest research topics: Machine Learning, Optimization, Model Predictive Control, Nonlinear Systems, Classification, Fault Detection, Genetic Programming and Molecular Docking.
- Metabolic Engineering
- Materials Informatics
- High-Throughput
- Scheduling
- Virtual Screening
- Molecular Docking
- Fault Detection
- Nonlinear Systems
- Optimization
- Machine Learning
- Model Predictive Control
- Classification
- Genetic Programming
- Process Monitoring
- Process Intensification
- Chiral Separation
- Liquid Chromatography
- Genome-Scale Models
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 18 words, with their numbers
- Machine Learning224 topics
- Optimization132 topics
- Model Predictive Control81 topic
- Nonlinear Systems81 topic
- Classification61 topic
- Fault Detection61 topic
- Genetic Programming61 topic
- Molecular Docking61 topic
- Process Monitoring61 topic
- Virtual Screening61 topic
- Process Intensification51 topic
- Scheduling51 topic
- Chiral Separation41 topic
- High-Throughput41 topic
- Liquid Chromatography41 topic
- Materials Informatics41 topic
- Genome-Scale Models31 topic
- Metabolic Engineering31 topic
Where does Ben McKay work?
Ben McKay's main affiliation in the publication record is Avantium (Netherlands), Netherlands.
How many publications and citations does Ben McKay have?
OpenAlex counts 27 works and 852 citations for Ben McKay, an h-index of 14, ranking #2,926,768 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.
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.
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