Andreas van Cranenburgh

611 total citations
31 papers, 205 citations indexed

About

Andreas van Cranenburgh is a scholar working on Artificial Intelligence, Language and Linguistics and General Social Sciences. According to data from OpenAlex, Andreas van Cranenburgh has authored 31 papers receiving a total of 205 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 3 papers in Language and Linguistics and 3 papers in General Social Sciences. Recurrent topics in Andreas van Cranenburgh's work include Natural Language Processing Techniques (24 papers), Topic Modeling (21 papers) and Authorship Attribution and Profiling (11 papers). Andreas van Cranenburgh is often cited by papers focused on Natural Language Processing Techniques (24 papers), Topic Modeling (21 papers) and Authorship Attribution and Profiling (11 papers). Andreas van Cranenburgh collaborates with scholars based in Netherlands, Germany and Italy. Andreas van Cranenburgh's co-authors include Rens Bod, Remko Scha, Joris van Zundert, Federico Sangati, Raquel Fernández, Laura Kallmeyer, Severi Luoto, Galit W. Sassoon, Maria Aloni and Kilian Evang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Stroke and Language Resources and Evaluation.

In The Last Decade

Andreas van Cranenburgh

27 papers receiving 181 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andreas van Cranenburgh Netherlands 10 162 28 16 13 11 31 205
Thomas Proisl Germany 8 168 1.0× 17 0.6× 9 0.6× 17 1.3× 19 1.7× 23 196
Simon Hengchen Sweden 7 135 0.8× 18 0.6× 28 1.8× 15 1.2× 13 1.2× 19 202
Andrey Kutuzov Norway 8 185 1.1× 3 0.1× 18 1.1× 13 1.0× 17 1.5× 38 219
Veronika Laippala Finland 9 225 1.4× 18 0.6× 4 0.3× 15 1.2× 11 1.0× 35 276
Joseph Rudman United States 6 211 1.3× 8 0.3× 5 0.3× 37 2.8× 68 6.2× 16 233
Tanja Säily Finland 9 96 0.6× 27 1.0× 6 0.4× 8 0.6× 12 1.1× 38 228
Mika Hämäläinen Finland 8 145 0.9× 14 0.5× 3 0.2× 6 0.5× 49 4.5× 58 216
Sandra Kuebler United States 6 222 1.4× 9 0.3× 3 0.2× 34 2.6× 52 4.7× 11 284
Dominik Schlechtweg Germany 7 214 1.3× 4 0.1× 12 0.8× 11 0.8× 15 1.4× 13 241
Rui Sousa‐Silva Portugal 5 55 0.3× 9 0.3× 6 0.4× 15 1.2× 39 3.5× 16 105

Countries citing papers authored by Andreas van Cranenburgh

Since Specialization
Citations

This map shows the geographic impact of Andreas van Cranenburgh'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 Andreas van Cranenburgh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas van Cranenburgh more than expected).

Fields of papers citing papers by Andreas van Cranenburgh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andreas van Cranenburgh. 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 Andreas van Cranenburgh. The network helps show where Andreas van Cranenburgh may publish in the future.

Co-authorship network of co-authors of Andreas van Cranenburgh

This figure shows the co-authorship network connecting the top 25 collaborators of Andreas van Cranenburgh. A scholar is included among the top collaborators of Andreas van Cranenburgh 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 Andreas van Cranenburgh. Andreas van Cranenburgh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Cranenburgh, Andreas van, et al.. (2020). A Benchmark of Rule-Based and Neural Coreference Resolution in Dutch Novels and News.. University of Groningen research database (University of Groningen / Centre for Information Technology). 79–90. 2 indexed citations
2.
Luoto, Severi & Andreas van Cranenburgh. (2020). Psycholinguistic dataset on language use in 1145 novels published in English and Dutch. SHILAP Revista de lepidopterología. 34. 106655–106655. 2 indexed citations
3.
Cranenburgh, Andreas van, et al.. (2020). Literary quality in the eye of the Dutch reader: The National Reader Survey. Poetics. 79. 101439–101439. 23 indexed citations
4.
Cranenburgh, Andreas van. (2019). A Dutch coreference resolution system with an evaluation on literary fiction. 9. 27–54. 7 indexed citations
5.
Cranenburgh, Andreas van. (2018). Cliche expressions in literary and genre novels. 34–43. 1 indexed citations
6.
Cranenburgh, Andreas van. (2018). Active DOP: A constituency treebank annotation tool with online learning. International Conference on Computational Linguistics. 38–42. 1 indexed citations
7.
Cranenburgh, Andreas van, et al.. (2018). German and French Neural Supertagging Experiments for LTAG Parsing. 59–66. 1 indexed citations
8.
Cranenburgh, Andreas van, et al.. (2017). Blue eyes and porcelain cheeks: Computational extraction of physical descriptions from Dutch chick lit and literary novels. Digital Scholarship in the Humanities. 33(1). 59–71. 1 indexed citations
9.
Cranenburgh, Andreas van & Rens Bod. (2017). A Data-Oriented Model of Literary Language. UvA-DARE (University of Amsterdam). 1228–1238. 15 indexed citations
10.
Cranenburgh, Andreas van, et al.. (2016). Topic modeling literary quality. UvA-DARE (University of Amsterdam). 233–237. 4 indexed citations
11.
Cranenburgh, Andreas van, et al.. (2015). Identifying Literary Texts with Bigrams. University of Groningen research database (University of Groningen / Centre for Information Technology). 58–67. 10 indexed citations
12.
Cranenburgh, Andreas van. (2014). Extraction of Phrase-Structure Fragments with a Linear Average Time Tree-Kernel. UvA-DARE (University of Amsterdam). 4. 3–16. 4 indexed citations
13.
Cranenburgh, Andreas van, et al.. (2014). LAF-Fabric: a data analysis tool for Linguistic Annotation Framework with an application to the Hebrew Bible. UvA-DARE (University of Amsterdam). 1 indexed citations
14.
Cranenburgh, Andreas van & Rens Bod. (2013). Discontinuous parsing with an efficient and accurate DOP model. UvA-DARE (University of Amsterdam). 7–16. 16 indexed citations
15.
Cranenburgh, Andreas van. (2012). Efficient parsing with Linear Context-Free Rewriting Systems. UvA-DARE (University of Amsterdam). 460–470. 19 indexed citations
16.
Cranenburgh, Andreas van. (2012). Literary authorship attribution with phrase-structure fragments. UvA-DARE (University of Amsterdam). 59–63. 14 indexed citations
17.
Cranenburgh, Andreas van. (2012). Extracting tree fragments in linear average time. Stroke. 31(4). 946–54. 3 indexed citations
18.
Aloni, Maria, et al.. (2012). Building a Corpus of Indefinite Uses Annotated with Fine-grained Semantic Functions. UvA-DARE (University of Amsterdam). 1511–1515.
19.
Cranenburgh, Andreas van, Remko Scha, & Federico Sangati. (2011). Discontinuous Data-Oriented Parsing: A mildly context-sensitive all-fragments grammar. UvA-DARE (University of Amsterdam). 34–44. 9 indexed citations
20.
Cranenburgh, Andreas van, Galit W. Sassoon, & Raquel Fernández. (2010). Invented antonyms: Esperanto as a semantic lab. UvA-DARE (University of Amsterdam). 2 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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