Kay-Michael Würzner

603 total citations · 1 hit paper
12 papers, 416 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 416 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, Michael Beißwenger, Stefan Evert, 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 388 citations

Hit Papers

dlexDB – eine lexikalische Datenbank für die psychologisc... 2011 2026 2016 2021 2011 50 100 150

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kay-Michael Würzner Germany 7 246 206 111 86 65 12 416
Alexander Geyken Germany 9 250 1.0× 210 1.0× 160 1.4× 92 1.1× 66 1.0× 37 501
Samantha F. McCormick United Kingdom 8 350 1.4× 290 1.4× 107 1.0× 127 1.5× 35 0.5× 13 472
Paulo F. Carvalho United States 12 337 1.4× 154 0.7× 198 1.8× 227 2.6× 80 1.2× 39 583
Menahem Yeari Israel 11 153 0.6× 207 1.0× 42 0.4× 85 1.0× 29 0.4× 26 363
Marijan Palmović Croatia 10 153 0.6× 97 0.5× 51 0.5× 151 1.8× 131 2.0× 33 425
Michele Scaltritti Italy 13 246 1.0× 303 1.5× 54 0.5× 112 1.3× 40 0.6× 37 444
Rihana S. Williams United States 8 393 1.6× 292 1.4× 124 1.1× 97 1.1× 61 0.9× 10 540
Manuel Gimenes France 10 153 0.6× 112 0.5× 39 0.4× 64 0.7× 56 0.9× 18 271
Phillip J. Grimaldi United States 8 171 0.7× 226 1.1× 174 1.6× 126 1.5× 119 1.8× 14 507
Zuowei Wang United States 12 271 1.1× 75 0.4× 83 0.7× 84 1.0× 132 2.0× 25 434

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

12 of 12 papers shown
1.
Wick, Christoph, et al.. (2019). Automatic Semantic Text Tagging on Historical Lexica by Combining OCR and Typography Classification. Zenodo (CERN European Organization for Nuclear Research). 33–38.
2.
Würzner, Kay-Michael, et al.. (2019). OCR-D. 53–58. 14 indexed citations
3.
Würzner, Kay-Michael, et al.. (2017). Über den Mehrwert der Vernetzung von OCR-Verfahren zur Erfassung von Texten des 17. Jahrhunderts. Zenodo (CERN European Organization for Nuclear Research).
5.
Würzner, Kay-Michael & Sascha Schroeder. (2015). Morphologische und phonologische Repräsentationen in childLex. Max Planck Digital Library. 8. 183–200. 1 indexed citations
6.
Schroeder, Sascha, et al.. (2015). childLex–Eine lexikalische Datenbank zur Schriftsprache für Kinder im Deutschen. Psychologische Rundschau. 66(3). 155–165. 19 indexed citations
7.
Schroeder, Sascha, et al.. (2014). childLex: a lexical database of German read by children. Behavior Research Methods. 47(4). 1085–1094. 130 indexed citations
8.
Würzner, Kay-Michael, et al.. (2013). Word and Sentence Tokenization with Hidden Markov Models. 28(2). 61–83. 31 indexed citations
9.
Würzner, Kay-Michael, et al.. (2011). dlexDB – eine lexikalische Datenbank für die psychologische und linguistische Forschung. Psychologische Rundschau. 62(1). 10–20. 198 indexed citations breakdown →
10.
Würzner, Kay-Michael, et al.. (2011). dlexDB - A lexical database for the psychological and linguistic research. 10 indexed citations
11.
Würzner, Kay-Michael, et al.. (2009). Statistical language models within the algebra of weighted rational languages. Acta Cybernetica. 19(2). 313–356. 2 indexed citations
12.
Störrer, Angelika, et al.. (2008). Text Resources and Lexical Knowledge. 4 indexed citations

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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