Marco Laumanns
Marco Laumanns publishes mostly in Industrial and Manufacturing Engineering, Artificial Intelligence and Computational Theory and Mathematics, on topics such as Advanced Multi-Objective Optimization Algorithms, Metaheuristic Optimization Algorithms Research and Evolutionary Algorithms and Applications.
- World rank
- #134,048 of 7,710,434 ranked researchers
- Rank in Switzerland
- #2,758 of 80,918
- Works
- 114
- Citations
- 19k
- Citations per work
- 169.2
What does Marco Laumanns research?
Marco Laumanns's work is mostly in Computer Science (32%), Engineering (19%), Social Sciences (7%).
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 Sciences5850.6%
- Computer Science3631.6%
- Engineering2219.0%
- Everything else3631.4%
- Social Sciences2118.0%
- 1Industrial and Manufacturing Engineering19% of their works
- 2Artificial Intelligence18% of their works
- 3Computational Theory and Mathematics14% of their works
- 4Transportation7% of their works
- 5Management Information Systems6% of their works
- 6Management Science and Operations Research6% of their works
Research topics
- Advanced Multi-Objective Optimization Algorithms
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
- Transportation Planning and Optimization
- Railway Systems and Energy Efficiency
- Vehicle Routing Optimization Methods
- Maritime Ports and Logistics
- Supply Chain and Inventory Management
Which keywords describe Marco Laumanns's research?
The keywords of their largest research topics: Evolutionary Algorithms, Particle Swarm Optimization, Multiobjective Optimization, Metaheuristics, Genetic Algorithm, Surrogate Modeling, Ant Colony Optimization and Differential Evolution.
- Supply Chain Coordination
- Operations Research
- Vehicle Routing Problem
- Train Scheduling
- Travel Behavior
- Machine Learning
- Differential Evolution
- Surrogate Modeling
- Metaheuristics
- Particle Swarm Optimization
- Evolutionary Algorithms
- Multiobjective Optimization
- Genetic Algorithm
- Ant Colony Optimization
- Genetic Programming
- Public Transport
- Railway Timetabling
- Heuristic Algorithms
- Container Terminals
- Information Sharing
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 20 words, with their numbers
- Evolutionary Algorithms933 topics
- Particle Swarm Optimization682 topics
- Multiobjective Optimization652 topics
- Metaheuristics452 topics
- Genetic Algorithm401 topic
- Surrogate Modeling401 topic
- Ant Colony Optimization281 topic
- Differential Evolution281 topic
- Genetic Programming251 topic
- Machine Learning251 topic
- Public Transport211 topic
- Travel Behavior211 topic
- Railway Timetabling181 topic
- Train Scheduling181 topic
- Heuristic Algorithms171 topic
- Vehicle Routing Problem171 topic
- Container Terminals131 topic
- Operations Research131 topic
- Information Sharing121 topic
- Supply Chain Coordination121 topic
Where does Marco Laumanns work?
Marco Laumanns's main affiliation in the publication record is ETH Zurich, Switzerland.
How many publications and citations does Marco Laumanns have?
OpenAlex counts 114 works and 19,288 citations for Marco Laumanns, an h-index of 37, ranking #134,048 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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