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Researcher · BOKU University · Austria

Peter Sykacek

Peter Sykacek publishes mostly in Molecular Biology, Artificial Intelligence and Signal Processing, on topics such as Gene expression and cancer classification, Neural Networks and Applications and Bioinformatics and Genomic Networks.

ORCID 0000-0001-8800-8354 OpenAlex
World rank
#2,117,301
of 7,710,434 ranked researchers
Rank in Austria
#12,736
of 43,330
Works
59
Citations
2.8k
Citations per work
48.2
h-index
17
i10-index 27Top 42% in Molecular Biology
Peter Sykacek

What does Peter Sykacek research?

Peter Sykacek's work is mostly in Biochemistry, Genetics and Molecular Biology (31%), Computer Science (21%), Neuroscience (5%).

Life Sciences: 24 works · 40.8% of their workBiochemistry, Genetics and Molecular Biology: 18 works · 30.9% of their workMolecular Biology: 18 works · 30.9% of their workNeuroscience: 3 works · 5.3% of their workCognitive Neuroscience: 3 works · 5.3% of their workAgricultural and Biological Sciences: 3 works · 4.6% of their workPlant Science: 3 works · 4.6% of their workEverything else: 21 works · 34.8% of their workPhysical Sciences: 14 works · 24.4% of their workComputer Science: 12 works · 21.1% of their workArtificial Intelligence: 8 works · 13.2% of their workSignal Processing: 5 works · 7.9% of their workChemistry: 2 works · 3.3% of their workSpectroscopy: 2 works · 3.3% of their workTHEIR WORKPeter Sykacek59works
Life Sciences41%Physical Sciences24%

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. Biochemistry, Genetics and Molecular Biology1830.9%
    2. Neuroscience35.3%
    3. Agricultural and Biological Sciences34.6%
  2. Everything else2134.8%
    1. Computer Science1221.1%
    2. Chemistry23.3%
  1. 1Molecular Biology31% of their works
  2. 2Artificial Intelligence13% of their works
  3. 3Signal Processing8% of their works
  4. 4Cognitive Neuroscience5% of their works
  5. 5Plant Science5% of their works
  6. 6Spectroscopy3% of their works

Research topics

Which keywords describe Peter Sykacek's research?

The keywords of their largest research topics: Clustering, Machine Learning, Deep Learning, Gene Expression, Microarray, Bayesian Inference, Variational Inference and Neural Networks.

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.

All 21 words, with their numbers
  1. Clustering132 topics
  2. Machine Learning132 topics
  3. Deep Learning112 topics
  4. Gene Expression91 topic
  5. Microarray91 topic
  6. Bayesian Inference82 topics
  7. Variational Inference82 topics
  8. Neural Networks71 topic
  9. Self-Organizing Maps71 topic
  10. Gene Set Enrichment Analysis61 topic
  11. Protein-Protein Interaction Networks61 topic
  12. Blind Separation51 topic
  13. Brain-Computer Interfaces51 topic
  14. EEG Analysis51 topic
  15. Independent Component Analysis51 topic
  16. Dirichlet Process41 topic
  17. Gaussian Processes41 topic
  18. Mixture Models41 topic
  19. Sparse Regression41 topic
  20. Protein31 topic
  21. Structure31 topic

Where does Peter Sykacek work?

Peter Sykacek's main affiliation in the publication record is BOKU University, Austria.

How many publications and citations does Peter Sykacek have?

OpenAlex counts 59 works and 2,846 citations for Peter Sykacek, an h-index of 17, ranking #2,117,301 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised 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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