Timo Koski

61 papers and 650 indexed citations i.

About

Timo Koski is a scholar working on Artificial Intelligence, Molecular Biology and Statistics and Probability. According to data from OpenAlex, Timo Koski has authored 61 papers receiving a total of 650 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 16 papers in Molecular Biology and 10 papers in Statistics and Probability. Recurrent topics in Timo Koski’s work include Bayesian Methods and Mixture Models (17 papers), Bayesian Modeling and Causal Inference (10 papers) and Genomics and Phylogenetic Studies (6 papers). Timo Koski is often cited by papers focused on Bayesian Methods and Mixture Models (17 papers), Bayesian Modeling and Causal Inference (10 papers) and Genomics and Phylogenetic Studies (6 papers). Timo Koski collaborates with scholars based in Sweden, Finland and Germany. Timo Koski's co-authors include Mats Gyllenberg, Jukka Corander, John M. Noble, Martin Verlaan, Óscar Puig, Johan Pensar, Elisabeth Bragado‐Nilsson, Bertrand Séraphin, Mark S. Johnson and Helge Gyllenberg and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Journal of Molecular Biology.

In The Last Decade

Co-authorship network of co-authors of Timo Koski i

Fields of papers citing papers by Timo Koski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Timo Koski. 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 Timo Koski. The network helps show where Timo Koski may publish in the future.

Countries citing papers authored by Timo Koski

Since Specialization
Citations

This map shows the geographic impact of Timo Koski'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 Timo Koski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Timo Koski 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