Marika Kaden

27 papers and 177 indexed citations i.

About

Marika Kaden is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Marika Kaden has authored 27 papers receiving a total of 177 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 8 papers in Molecular Biology. Recurrent topics in Marika Kaden’s work include Neural Networks and Applications (16 papers), Face and Expression Recognition (7 papers) and Machine Learning in Bioinformatics (7 papers). Marika Kaden is often cited by papers focused on Neural Networks and Applications (16 papers), Face and Expression Recognition (7 papers) and Machine Learning in Bioinformatics (7 papers). Marika Kaden collaborates with scholars based in Germany, The Netherlands and Poland. Marika Kaden's co-authors include Thomas Villmann, W. Hermann, Sven Haase, Michael Biehl, Dirk Labudde, Sebastian Bittrich, Florian Kaiser, Michel Gay, A. Lampe and Udo Seiffert and has published in prestigious journals such as Sensors, Neurocomputing and Neural Computing and Applications.

In The Last Decade

Co-authorship network of co-authors of Marika Kaden i

Fields of papers citing papers by Marika Kaden

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Marika Kaden

Since Specialization
Citations

This map shows the geographic impact of Marika Kaden'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 Marika Kaden with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marika Kaden 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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2025