Sebastian Mika

16 papers and 1.4k indexed citations i.

About

Sebastian Mika is a scholar working on Computational Theory and Mathematics, Spectroscopy and Molecular Biology. According to data from OpenAlex, Sebastian Mika has authored 16 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computational Theory and Mathematics, 6 papers in Spectroscopy and 5 papers in Molecular Biology. Recurrent topics in Sebastian Mika’s work include Computational Drug Discovery Methods (9 papers), Analytical Chemistry and Chromatography (6 papers) and Face and Expression Recognition (4 papers). Sebastian Mika is often cited by papers focused on Computational Drug Discovery Methods (9 papers), Analytical Chemistry and Chromatography (6 papers) and Face and Expression Recognition (4 papers). Sebastian Mika collaborates with scholars based in Germany, United States and Australia. Sebastian Mika's co-authors include Klaus‐Robert Müller, Bernhard Schölkopf, Gunnar Rätsch, Alex Smola, Matthias Scholz, Nikolaus Heinrich, Timon Schroeter, Daniel D. Lee, Antonius ter Laak and Katja Hansen and has published in prestigious journals such as Journal of Chemical Information and Modeling, Molecular Pharmaceutics and Journal of Computer-Aided Molecular Design.

In The Last Decade

Co-authorship network of co-authors of Sebastian Mika i

Fields of papers citing papers by Sebastian Mika

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sebastian Mika

Since Specialization
Citations

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