Karin Müller

About

Karin Müller is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Human-Computer Interaction. According to data from OpenAlex, Karin Müller has authored 20 papers receiving a total of 270 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 5 papers in Cognitive Neuroscience and 3 papers in Human-Computer Interaction. Recurrent topics in Karin Müller’s work include Natural Language Processing Techniques (6 papers), Speech Recognition and Synthesis (5 papers) and Speech and dialogue systems (5 papers). Karin Müller is often cited by papers focused on Natural Language Processing Techniques (6 papers), Speech Recognition and Synthesis (5 papers) and Speech and dialogue systems (5 papers). Karin Müller collaborates with scholars based in Germany, Switzerland and United States. Karin Müller's co-authors include Rainer Stiefelhagen, Kailun Yang, Kunyu Peng, Jiaming Zhang, Jiaming Zhang, Stefan Schlobach, Gilad Mishne, Maarten de Rijke, Bernd Möbius and Detlef Prescher and has published in prestigious journals such as IEEE Transactions on Intelligent Transportation Systems, Leukemia Research and Educational Management Administration & Leadership.

In The Last Decade

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

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Fields of papers citing papers by Karin Müller

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Karin Müller

Since Specialization

Citations

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