Karin Schwarzbauer

About

Karin Schwarzbauer is a scholar working on Artificial Intelligence, Molecular Biology and Plant Science. According to data from OpenAlex, Karin Schwarzbauer has authored 6 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Molecular Biology and 1 paper in Plant Science. Recurrent topics in Karin Schwarzbauer’s work include COVID-19 diagnosis using AI (1 paper), Genomics and Chromatin Dynamics (1 paper) and Neural Networks and Applications (1 paper). Karin Schwarzbauer is often cited by papers focused on COVID-19 diagnosis using AI (1 paper), Genomics and Chromatin Dynamics (1 paper) and Neural Networks and Applications (1 paper). Karin Schwarzbauer collaborates with scholars based in Austria, Australia and Switzerland. Karin Schwarzbauer's co-authors include Sepp Hochreiter, Ulrich Bodenhofer, Andreas Mitterecker, Djork-Arné Clevert, Andreas Mayr, Günter Klambauer, Thomas Tschoellitsch, Jens Meier, Carl Böck and Martin W. Dünser and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Transfusion.

In The Last Decade

Co-authorship network of co-authors of Karin Schwarzbauer i

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Fields of papers citing papers by Karin Schwarzbauer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Karin Schwarzbauer

Since Specialization

Citations

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