Jan Aarts

636 citations
14 papers · 150 indexed · h-index 8
Topics
Natural Language Processing Techniques (6 papers)Translation Studies and Practices (4 papers)Linguistics, Language Diversity, and Identity (4 papers)
Partner nations
Netherlands

In The Last Decade

Jan Aarts

13 papers receiving 107 citations

Peers

Jan Aarts
Comparison fields: 5 of 29
  • Language and Linguistics 90
  • Artificial Intelligence 64
  • Developmental and Educational Psychology 30
  • Literature and Literary Theory 27
  • Experimental and Cognitive Psychology 26
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Jan Aarts relative to Gabriele Stein Germany Gabriele Stein's profile →
Citations per field
00.5×1.5×
Gabriele Stein · 1×
Citations per year

Countries citing papers authored by Jan Aarts

Since Specialization
Citations

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

Fields of papers citing papers by Jan Aarts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan Aarts. 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 Aarts. The network helps show where Jan Aarts may publish in the future.

Co-authorship network of co-authors of Jan Aarts

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

All Works

14 of 14 papers shown
#WorkIndexed citations
1 6
2 0
3
Towards a new generation of corpus-based English grammars
2
4
Language and computers : studies in practical linguistics
8
5
English language corpora : design, analysis and exploitation : papers from the thirteenth International Conference on English Language Research on Computerized Corpora, Nijmegen 1992
11
6 7
7 22
8
English Syntactic Structures: Functions and Categories in Sentence Analysis
11
9
Corpus linguistics II : new studies in the analysis and exploitation of computer corpora
16
10 11
11 6
12 24
13 22
14 4

About Jan Aarts

Jan Aarts is a scholar working on Language and Linguistics, Human-Computer Interaction and Classics, having authored 14 papers that have together received 150 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (6 papers), Translation Studies and Practices (4 papers) and Linguistics, Language Diversity, and Identity (4 papers). The work is most often cited by research in Language and Linguistics (90 citations), Linguistics and Language (25 citations) and Literature and Literary Theory (27 citations). Jan Aarts has collaborated with scholars based in Netherlands. Frequent co-authors include Pieter de Haan, Nelleke Oostdijk and Flor Aarts. Their work appears in journals such as Linguistics, Journal of Linguistics and International Journal of Corpus Linguistics.

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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