Samuel Kaski

208 papers and 4.6k indexed citations i.

About

Samuel Kaski is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Samuel Kaski has authored 208 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 98 papers in Artificial Intelligence, 73 papers in Molecular Biology and 39 papers in Computer Vision and Pattern Recognition. Recurrent topics in Samuel Kaski’s work include Gene expression and cancer classification (37 papers), Bioinformatics and Genomic Networks (34 papers) and Neural Networks and Applications (24 papers). Samuel Kaski is often cited by papers focused on Gene expression and cancer classification (37 papers), Bioinformatics and Genomic Networks (34 papers) and Neural Networks and Applications (24 papers). Samuel Kaski collaborates with scholars based in Finland, United Kingdom and Norway. Samuel Kaski's co-authors include Teuvo Kohonen, Jarkko Venna, Krista Lagus, Jaakko Peltonen, Arto Klami, Timo Honkela, Janne Sinkkonen, Jarkko Salojärvi, Janne Nikkilä and Jukka Corander and has published in prestigious journals such as Nature Communications, Bioinformatics and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Samuel Kaski i

Fields of papers citing papers by Samuel Kaski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samuel Kaski. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Samuel Kaski. The network helps show where Samuel Kaski may publish in the future.

Countries citing papers authored by Samuel Kaski

Since Specialization
Citations

This map shows the geographic impact of Samuel Kaski's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Samuel Kaski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuel Kaski more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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2025