Sjef Barbiers

45 papers and 270 indexed citations
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About

Sjef Barbiers is a scholar working on Language and Linguistics, Artificial Intelligence and Linguistics and Language. According to data from OpenAlex, Sjef Barbiers has authored 45 papers receiving a total of 270 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Language and Linguistics, 28 papers in Artificial Intelligence and 21 papers in Linguistics and Language. Recurrent topics in Sjef Barbiers’s work include Natural Language Processing Techniques (25 papers), Linguistic Variation and Morphology (21 papers) and Syntax, Semantics, Linguistic Variation (16 papers). Sjef Barbiers is often cited by papers focused on Natural Language Processing Techniques (25 papers), Linguistic Variation and Morphology (21 papers) and Syntax, Semantics, Linguistic Variation (16 papers). Sjef Barbiers collaborates with scholars based in Netherlands, Germany and Switzerland. Sjef Barbiers's co-authors include Hans Bennis, Marika Lekakou, Olaf Koeneman, Leonie Cornips, Fred Weerman, Gunther De Vogelaer, Marjo van Koppen, Maud Devos, Johan van der Auwera and Rint Sybesma and has published in prestigious journals such as Lingua, Journal of Linguistics and Language Acquisition.

In The Last Decade

Co-authorship network of co-authors of Sjef Barbiers

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

Fields of papers citing papers by Sjef Barbiers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sjef Barbiers

Since Specialization
Citations

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

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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