Katharina Morik

87 papers and 1.1k indexed citations i.

About

Katharina Morik is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Katharina Morik has authored 87 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Artificial Intelligence, 16 papers in Signal Processing and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Katharina Morik’s work include Semantic Web and Ontologies (9 papers), Time Series Analysis and Forecasting (8 papers) and Anomaly Detection Techniques and Applications (8 papers). Katharina Morik is often cited by papers focused on Semantic Web and Ontologies (9 papers), Time Series Analysis and Forecasting (8 papers) and Anomaly Detection Techniques and Applications (8 papers). Katharina Morik collaborates with scholars based in Germany, United States and The Netherlands. Katharina Morik's co-authors include Ingo Mierswa, Nico Piatkowski, Thomas Liebig, Christian Bockermann, Jörg-Uwe Kietz, Jochen Deuse, Michael Wurst, Daniel S. Lieber, Jörg Lässig and Benedikt Konrad and has published in prestigious journals such as PLoS ONE, British Journal of Cancer and International Journal of Cancer.

In The Last Decade

Co-authorship network of co-authors of Katharina Morik i

Fields of papers citing papers by Katharina Morik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Katharina Morik

Since Specialization
Citations

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