Kay-Michael Würzner
- Developmental and Educational Psychology top 5%
- Cognitive Neuroscience top 10%
- Artificial Intelligence top 10%
- Experimental and Cognitive Psychology top 10%
- Education top 10%
- Co-authors
- Alexander GeykenReinhold KlieglSascha SchroederStefan EvertMichael BeißwengerAngelika StörrerChristoph WickFrank Puppe
- Topics
- Natural Language Processing Techniques (7 papers)Linguistic research and analysis (4 papers)Digital Communication and Language (3 papers)
- Cited by
- Developmental and Educational PsychologyCognitive NeuroscienceExperimental and Cognitive Psychology
- Partner nations
- Germany
In The Last Decade
Kay-Michael Würzner
9 papers receiving 388 citations
Hit Papers
Peers
Comparison fields: 5 of 47
- Developmental and Educational Psychology 246
- Cognitive Neuroscience 206
- Artificial Intelligence 111
- Experimental and Cognitive Psychology 86
- Education 65
Countries citing papers authored by Kay-Michael Würzner
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 14 | |
| 3 | 0 | |
| 4 | 7 | |
| 5 | 19 | |
| 6 | Morphologische und phonologische Repräsentationen in childLex | 1 |
| 7 | 130 | |
| 8 | 31 | |
| 9 | dlexDB – eine lexikalische Datenbank für die psychologische und linguistische Forschungbreakdown → | 198 |
| 10 | dlexDB - A lexical database for the psychological and linguistic research | 10 |
| 11 | 2 | |
| 12 | 4 |
About Kay-Michael Würzner
Kay-Michael Würzner is a scholar working on Human-Computer Interaction, Language and Linguistics and Artificial Intelligence, having authored 12 papers that have together received 416 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (7 papers), Linguistic research and analysis (4 papers) and Digital Communication and Language (3 papers). The work is most often cited by research in Developmental and Educational Psychology (246 citations), Cognitive Neuroscience (206 citations) and Experimental and Cognitive Psychology (86 citations). Kay-Michael Würzner has collaborated with scholars based in Germany. Frequent co-authors include Alexander Geyken, Reinhold Kliegl, Sascha Schroeder, Stefan Evert, Michael Beißwenger, Angelika Störrer, Christoph Wick and Frank Puppe. Their work appears in journals such as Behavior Research Methods, Psychologische Rundschau and Acta Cybernetica.
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.