Jan Strunk
- Artificial Intelligence top 5%
- Experimental and Cognitive Psychology
- Language and Linguistics top 5%
- Linguistics and Language top 10%
- Information Systems
- Co-authors
- Tibor KissFrank SeifartNikolaus P. HimmelmannFlorian SchielBrigitte PakendorfAlena Witzlack-MakarevichBalthasar BickelSwintha Danielsen
- Topics
- Natural Language Processing Techniques (6 papers)Linguistic Variation and Morphology (3 papers)Topic Modeling (3 papers)
- Partner nations
- GermanyNetherlandsFrance
In The Last Decade
Jan Strunk
12 papers receiving 333 citations
Peers
Comparison fields: 5 of 74
- Artificial Intelligence 278
- Experimental and Cognitive Psychology 63
- Language and Linguistics 59
- Linguistics and Language 39
- Information Systems 32
Countries citing papers authored by Jan Strunk
This map shows the geographic impact of Jan Strunk'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 Jan Strunk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Strunk more than expected).
Fields of papers citing papers by Jan Strunk
This network shows the impact of papers produced by Jan Strunk. 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 Jan Strunk. The network helps show where Jan Strunk may publish in the future.
Co-authorship network of co-authors of Jan Strunk
This figure shows the co-authorship network connecting the top 25 collaborators of Jan Strunk. A scholar is included among the top collaborators of Jan Strunk 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 Jan Strunk. Jan Strunk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 4 | |
| 3 | 31 | |
| 4 | 26 | |
| 5 | Untrained Forced Alignment of Transcriptions and Audio for Language Documentation Corpora using WebMAUS | 18 |
| 6 | 0 | |
| 7 | An Annotation Schema for Preposition Senses in German | 6 |
| 8 | 8 | |
| 9 | Extraposition without Subjacency | 2 |
| 10 | 265 | |
| 11 | The role of animacy in the nominal possessive constructions of Modern Low Saxon | 4 |
| 12 | 6 | |
| 13 | Viewing sentence boundary detection as collocation identification | 8 |
About Jan Strunk
Jan Strunk is a scholar working on Linguistics and Language, Language and Linguistics and Experimental and Cognitive Psychology, having authored 13 papers that have together received 388 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (6 papers), Linguistic Variation and Morphology (3 papers) and Topic Modeling (3 papers). The work is most often cited by research in Artificial Intelligence (278 citations), Linguistics and Language (39 citations) and Language and Linguistics (59 citations). Jan Strunk has collaborated with scholars based in Germany, Netherlands and France. Frequent co-authors include Tibor Kiss, Frank Seifart, Nikolaus P. Himmelmann, Florian Schiel, Brigitte Pakendorf, Alena Witzlack-Makarevich, Balthasar Bickel, Swintha Danielsen, Søren Wichmann and Nivja H. de Jong. Their work appears in journals such as Proceedings of the National Academy of Sciences, Computational Linguistics and Phonology.
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.