Joerg M. Gablonsky
Joerg M. Gablonsky publishes mostly in Computational Theory and Mathematics, Statistics, Probability and Uncertainty and Control and Systems Engineering, on topics such as Advanced Multi-Objective Optimization Algorithms, Probabilistic and Robust Engineering Design and Manufacturing Process and Optimization.
- World rank
- #3,118,849 of 7,710,434 ranked researchers
- Rank in Australia
- #83,745 of 140,210
- Works
- 18
- Citations
- 733
- Citations per work
- 40.7
What does Joerg M. Gablonsky research?
Joerg M. Gablonsky's work is mostly in Engineering (18%), Computer Science (16%), Decision Sciences (16%).
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
- Everything else844.0%
- Physical Sciences740.0%
- Engineering318.0%
- Computer Science316.0%
- Mathematics16.0%
- Social Sciences316.0%
- Decision Sciences316.0%
- 1Computational Theory and Mathematics16% of their works
- 2Statistics, Probability and Uncertainty10% of their works
- 3Control and Systems Engineering10% of their works
- 4Industrial and Manufacturing Engineering8% of their works
- 5Management Science and Operations Research6% of their works
- 6Numerical Analysis6% of their works
Research topics
- Advanced Multi-Objective Optimization Algorithms
- Probabilistic and Robust Engineering Design
- Manufacturing Process and Optimization
- Systems Engineering Methodologies and Applications
- Air Traffic Management and Optimization
- Advanced Aircraft Design and Technologies
- Optimal Experimental Design Methods
- Evolutionary Algorithms and Applications
Which keywords describe Joerg M. Gablonsky's research?
The keywords of their largest research topics: Evolutionary Algorithms, Multiobjective Optimization, Genetic Algorithm, Surrogate Modeling, Sensitivity Analysis, Uncertainty Quantification, Assembly Planning and Design for Manufacture.
- Machine Learning
- Optimization
- Conflict Resolution
- Aviation
- Model-Based Systems Engineering
- Design for Manufacture
- Uncertainty Quantification
- Surrogate Modeling
- Multiobjective Optimization
- Evolutionary Algorithms
- Genetic Algorithm
- Sensitivity Analysis
- Assembly Planning
- Complex Adaptive Systems
- Air Traffic Management
- Climate Change
- Experimental Design
- Genetic Programming
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
- Evolutionary Algorithms82 topics
- Multiobjective Optimization82 topics
- Genetic Algorithm71 topic
- Surrogate Modeling71 topic
- Sensitivity Analysis51 topic
- Uncertainty Quantification51 topic
- Assembly Planning41 topic
- Design for Manufacture41 topic
- Complex Adaptive Systems31 topic
- Model-Based Systems Engineering31 topic
- Air Traffic Management21 topic
- Aviation21 topic
- Climate Change21 topic
- Conflict Resolution21 topic
- Experimental Design21 topic
- Optimization21 topic
- Genetic Programming11 topic
- Machine Learning11 topic
Where does Joerg M. Gablonsky work?
Joerg M. Gablonsky's main affiliation in the publication record is Boeing (Australia), Australia.
How many publications and citations does Joerg M. Gablonsky have?
OpenAlex counts 18 works and 733 citations for Joerg M. Gablonsky, an h-index of 10, ranking #3,118,849 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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