Yannik Schälte

14 papers and 160 indexed citations i.

About

Yannik Schälte is a scholar working on Molecular Biology, Artificial Intelligence and Statistics and Probability. According to data from OpenAlex, Yannik Schälte has authored 14 papers receiving a total of 160 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Artificial Intelligence and 4 papers in Statistics and Probability. Recurrent topics in Yannik Schälte’s work include Gene Regulatory Network Analysis (6 papers), Gaussian Processes and Bayesian Inference (5 papers) and Markov Chains and Monte Carlo Methods (4 papers). Yannik Schälte is often cited by papers focused on Gene Regulatory Network Analysis (6 papers), Gaussian Processes and Bayesian Inference (5 papers) and Markov Chains and Monte Carlo Methods (4 papers). Yannik Schälte collaborates with scholars based in Germany, United States and Norway. Yannik Schälte's co-authors include Jan Hasenauer, Paul Stapor, Fabian Fröhlich, Leonard Schmiester, Daniel Weindl, Glenn Terje Lines, Emmanuel Klinger, Simon Syga, Susan L. Uprichard and Andreas Deutsch 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 Yannik Schälte i

Fields of papers citing papers by Yannik Schälte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yannik Schälte

Since Specialization
Citations

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