Tomi Peltola

17 papers and 291 indexed citations i.

About

Tomi Peltola is a scholar working on Artificial Intelligence, Genetics and Molecular Biology. According to data from OpenAlex, Tomi Peltola has authored 17 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 3 papers in Genetics and 2 papers in Molecular Biology. Recurrent topics in Tomi Peltola’s work include Machine Learning and Data Classification (4 papers), Genetic Associations and Epidemiology (3 papers) and Machine Learning and Algorithms (3 papers). Tomi Peltola is often cited by papers focused on Machine Learning and Data Classification (4 papers), Genetic Associations and Epidemiology (3 papers) and Machine Learning and Algorithms (3 papers). Tomi Peltola collaborates with scholars based in Finland, United Kingdom and Australia. Tomi Peltola's co-authors include Ville‐Petteri Mäkinen, Per‐Henrik Groop, Carol Forsblom, Mika Ala‐Korpela, Samuel Kaski, Pasi Soininen, Antti J. Kangas, Tuulia Tynkkynen, Pekka Marttinen and Aki Vehtari and has published in prestigious journals such as Bioinformatics, PLoS ONE and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Tomi Peltola i

Fields of papers citing papers by Tomi Peltola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tomi Peltola

Since Specialization
Citations

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