Kaspar Märtens

12 papers and 891 indexed citations i.

About

Kaspar Märtens is a scholar working on Molecular Biology, Artificial Intelligence and Genetics. According to data from OpenAlex, Kaspar Märtens has authored 12 papers receiving a total of 891 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Artificial Intelligence and 3 papers in Genetics. Recurrent topics in Kaspar Märtens’s work include Machine Learning and Data Classification (2 papers), Bayesian Methods and Mixture Models (2 papers) and RNA modifications and cancer (2 papers). Kaspar Märtens is often cited by papers focused on Machine Learning and Data Classification (2 papers), Bayesian Methods and Mixture Models (2 papers) and RNA modifications and cancer (2 papers). Kaspar Märtens collaborates with scholars based in United Kingdom, Estonia and United States. Kaspar Märtens's co-authors include Christopher Yau, Rens van de Schoot, Mahlet G. Tadesse, Andrew Gelman, Duco Veen, Bianca Kramer, Sarah Depaoli, Ruth King, Joukje E. Willemsen and Marina Vannucci and has published in prestigious journals such as Nature Communications, Bioinformatics and Genome biology.

In The Last Decade

Co-authorship network of co-authors of Kaspar Märtens i

Fields of papers citing papers by Kaspar Märtens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kaspar Märtens

Since Specialization
Citations

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