Question 1

What does Peter Sykacek research?

Accepted Answer

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.

Question 2

Which keywords describe Peter Sykacek's research?

Accepted Answer

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

Question 3

Where does Peter Sykacek work?

Accepted Answer

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

Question 4

How many publications and citations does Peter Sykacek have?

Accepted Answer

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.

Question 5

Is Peter Sykacek's h-index high?

Accepted Answer

An h-index of 17 is at or above that of 61% of the 676,373 ranked researchers whose main subfield is Molecular Biology, which is in the top 42%.