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Researcher · Computer Algorithms for Medicine · Austria

ten Hmm Huub Eikelder

ten Hmm Huub Eikelder publishes mostly in Artificial Intelligence, Molecular Biology and Computational Theory and Mathematics, on topics such as Logic, programming, and type systems, Metaheuristic Optimization Algorithms Research and Microbial Metabolic Engineering and Bioproduction.

OpenAlex
World rank
#6,236,735
of 7,710,434 ranked researchers
Rank in Austria
#37,789
of 43,330
Works
23
Citations
56
Citations per work
2.4
h-index
4
i10-index 2Top 90% in Artificial Intelligence
ten Hmm Huub Eikelder

What does ten Hmm Huub Eikelder research?

ten Hmm Huub Eikelder's work is mostly in Computer Science (39%), Biochemistry, Genetics and Molecular Biology (21%), Medicine (5%).

Physical Sciences: 11 works · 46.0% of their workComputer Science: 9 works · 39.4% of their workArtificial Intelligence: 6 works · 24.6% of their workComputational Theory and Mathematics: 3 works · 14.8% of their workEngineering: 1 works · 3.3% of their workIndustrial and Manufacturing Engineering: 1 works · 3.3% of their workMathematics: 1 works · 3.3% of their workApplied Mathematics: 1 works · 3.3% of their workEverything else: 6 works · 27.8% of their workLife Sciences: 5 works · 21.3% of their workBiochemistry, Genetics and Molecular Biology: 5 works · 21.3% of their workMolecular Biology: 5 works · 21.3% of their workHealth Sciences: 1 works · 4.9% of their workMedicine: 1 works · 4.9% of their workCardiology and Cardiovascular Medicine: 1 works · 4.9% of their workTHEIR WORKten Hmm HuubEikelder23works
Life Sciences21%Physical Sciences46%Health Sciences5%

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
    1. Computer Science939.4%
    2. Engineering13.3%
    3. Mathematics13.3%
  2. Everything else627.8%
    1. Biochemistry, Genetics and Molecular Biology521.3%
    1. Medicine14.9%
  1. 1Artificial Intelligence25% of their works
  2. 2Molecular Biology21% of their works
  3. 3Computational Theory and Mathematics15% of their works
  4. 4Cardiology and Cardiovascular Medicine5% of their works
  5. 5Industrial and Manufacturing Engineering3% of their works
  6. 6Applied Mathematics3% of their works

Research topics

Which keywords describe ten Hmm Huub Eikelder's research?

The keywords of their largest research topics: Evolutionary Algorithms, Model Checking, Differential Evolution, Formal Verification, Particle Swarm Optimization, Static Analysis, Synthetic Biology and Answer Set 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 19 words, with their numbers
  1. Evolutionary Algorithms62 topics
  2. Model Checking62 topics
  3. Differential Evolution41 topic
  4. Formal Verification41 topic
  5. Particle Swarm Optimization41 topic
  6. Static Analysis41 topic
  7. Synthetic Biology42 topics
  8. Answer Set Programming21 topic
  9. Gene Regulatory Networks21 topic
  10. Gene Set Enrichment Analysis21 topic
  11. Genetic Programming21 topic
  12. Genome-Scale Models21 topic
  13. Machine Learning21 topic
  14. Metabolic Engineering21 topic
  15. Modal Logic21 topic
  16. Neural Networks21 topic
  17. Protein-Protein Interaction Networks21 topic
  18. Self-Organizing Maps21 topic
  19. Stochastic Gene Expression21 topic

Where does ten Hmm Huub Eikelder work?

ten Hmm Huub Eikelder's main affiliation in the publication record is Computer Algorithms for Medicine, Austria.

How many publications and citations does ten Hmm Huub Eikelder have?

OpenAlex counts 23 works and 56 citations for ten Hmm Huub Eikelder, an h-index of 4, ranking #6,236,735 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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