Kay-Michael Würzner

28 total papers · 602 total citations
12 papers, 415 citations indexed

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 12 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 4 papers in Language and Linguistics and 3 papers in Human-Computer Interaction. Recurrent topics in Kay-Michael Würzner's work include Natural Language Processing Techniques (7 papers), Linguistic research and analysis (4 papers) and Digital Communication and Language (3 papers). Kay-Michael Würzner is often cited by papers focused on Natural Language Processing Techniques (7 papers), Linguistic research and analysis (4 papers) and Digital Communication and Language (3 papers). Kay-Michael Würzner collaborates with scholars based in Germany. Kay-Michael Würzner's co-authors include Alexander Geyken, Reinhold Kliegl, Sascha Schroeder, Stefan Evert, Michael Beißwenger, 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

Kay-Michael Würzner

9 papers receiving 386 citations

Hit Papers

dlexDB – eine lexikalisch... 2011 2026 2016 2021 2011 50 100 150

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Kay-Michael Würzner 246 205 110 86 65 12 415
Hubert Tardieu 190 0.8× 154 0.8× 68 0.6× 114 1.3× 47 0.7× 28 417
Rebecca Fincher‐Kiefer 314 1.3× 195 1.0× 93 0.8× 179 2.1× 57 0.9× 12 494
Samantha F. McCormick 346 1.4× 287 1.4× 106 1.0× 126 1.5× 35 0.5× 13 468
Lloyd K. Komatsu 223 0.9× 120 0.6× 89 0.8× 134 1.6× 68 1.0× 10 460
Edward J. Crothers 146 0.6× 107 0.5× 147 1.3× 90 1.0× 44 0.7× 12 476
John L. Santa 139 0.6× 201 1.0× 79 0.7× 134 1.6× 56 0.9× 29 417
Maria Ktori 243 1.0× 192 0.9× 48 0.4× 97 1.1× 44 0.7× 21 403
Joel Zimmerman 168 0.7× 243 1.2× 94 0.9× 111 1.3× 35 0.5× 27 460
J. Peeck 235 1.0× 82 0.4× 60 0.5× 209 2.4× 166 2.6× 18 452
Lawrence Locker 212 0.9× 215 1.0× 57 0.5× 138 1.6× 60 0.9× 16 478

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).

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.

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

This figure shows the co-authorship network connecting the top 25 collaborators of Kay-Michael Würzner. A scholar is included among the top collaborators of Kay-Michael Würzner based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kay-Michael Würzner. Kay-Michael Würzner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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