Kay-Michael Würzner

7 papers and 333 indexed citations i.

About

Kay-Michael Würzner is a scholar working on Artificial Intelligence, Language and Linguistics and Human-Computer Interaction. According to data from OpenAlex, Kay-Michael Würzner has authored 7 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 2 papers in Language and Linguistics and 2 papers in Human-Computer Interaction. Recurrent topics in Kay-Michael Würzner’s work include Natural Language Processing Techniques (4 papers), Reading and Literacy Development (2 papers) and Digital Communication and Language (2 papers). Kay-Michael Würzner is often cited by papers focused on Natural Language Processing Techniques (4 papers), Reading and Literacy Development (2 papers) and Digital Communication and Language (2 papers). Kay-Michael Würzner collaborates with scholars based in Germany. Kay-Michael Würzner's co-authors include Alexander Geyken, Julian Heister, Reinhold Kliegl, Sascha Schroeder, Angelika Störrer, Christoph Wick and Frank Puppe and has published in prestigious journals such as Behavior Research Methods, Psychologische Rundschau and Acta Cybernetica.

In The Last Decade

Co-authorship network of co-authors of Kay-Michael Würzner i

Fields of papers citing papers by Kay-Michael Würzner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kay-Michael Würzner. 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 Kay-Michael Würzner. The network helps show where Kay-Michael Würzner may publish in the future.

Countries citing papers authored by Kay-Michael Würzner

Since Specialization
Citations

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