Thomas Helmuth
Thomas Helmuth publishes mostly in Artificial Intelligence, Molecular Biology and Computer Science Applications, on topics such as Evolutionary Algorithms and Applications, Metaheuristic Optimization Algorithms Research and Viral Infectious Diseases and Gene Expression in Insects.
- World rank
- #1,721,292 of 7,710,434 ranked researchers
- Rank in United States
- #531,582 of 1,627,098
- Works
- 82
- Citations
- 1.5k
- Citations per work
- 18.0
What does Thomas Helmuth research?
Thomas Helmuth's work is mostly in Computer Science (78%), Biochemistry, Genetics and Molecular Biology (21%).
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 Sciences6477.5%
- Computer Science6477.5%
- Life Sciences1721.1%
- Everything else11.4%
- 1Artificial Intelligence69% of their works
- 2Molecular Biology17% of their works
- 3Computer Science Applications5% of their works
- 4Genetics4% of their works
- 5Software3% of their works
- 6Information Systems1% of their works
Research topics
- Evolutionary Algorithms and Applications
- Metaheuristic Optimization Algorithms Research
- Viral Infectious Diseases and Gene Expression in Insects
- Reinforcement Learning in Robotics
- Teaching and Learning Programming
- Evolution and Genetic Dynamics
- CRISPR and Genetic Engineering
- Software Testing and Debugging Techniques
Which keywords describe Thomas Helmuth's research?
The keywords of their largest research topics: Evolutionary Algorithms, Genetic Programming, Machine Learning, Differential Evolution, Particle Swarm Optimization, Mammalian Cells, Recombinant Protein and Deep Learning.
- Automated Testing
- Genome Engineering
- Adaptation
- Computational Thinking
- Deep Learning
- Mammalian Cells
- Differential Evolution
- Genetic Programming
- Evolutionary Algorithms
- Machine Learning
- Particle Swarm Optimization
- Recombinant Protein
- Reinforcement Learning
- Programming Education
- Evolution
- RNA-Guided
- Software Fault Localization
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 17 words, with their numbers
- Evolutionary Algorithms1352 topics
- Genetic Programming751 topic
- Machine Learning751 topic
- Differential Evolution601 topic
- Particle Swarm Optimization601 topic
- Mammalian Cells181 topic
- Recombinant Protein181 topic
- Deep Learning141 topic
- Reinforcement Learning141 topic
- Computational Thinking121 topic
- Programming Education121 topic
- Adaptation101 topic
- Evolution101 topic
- Genome Engineering91 topic
- RNA-Guided91 topic
- Automated Testing61 topic
- Software Fault Localization61 topic
Where does Thomas Helmuth work?
Thomas Helmuth's main affiliation in the publication record is Hamilton College, United States.
How many publications and citations does Thomas Helmuth have?
OpenAlex counts 82 works and 1,476 citations for Thomas Helmuth, an h-index of 20, ranking #1,721,292 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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