Sjef Barbiers

21 papers and 139 indexed citations i.

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 21 papers receiving a total of 139 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Language and Linguistics, 12 papers in Artificial Intelligence and 7 papers in Linguistics and Language. Recurrent topics in Sjef Barbiers’s work include Natural Language Processing Techniques (11 papers), Syntax, Semantics, Linguistic Variation (10 papers) and Linguistic Variation and Morphology (7 papers). Sjef Barbiers is often cited by papers focused on Natural Language Processing Techniques (11 papers), Syntax, Semantics, Linguistic Variation (10 papers) and Linguistic Variation and Morphology (7 papers). Sjef Barbiers collaborates with scholars based in The Netherlands and Germany. Sjef Barbiers's co-authors include Marika Lekakou, Άρτεμις Αλεξιάδου, Elena Anagnostopoulou, Olaf Koeneman, Fred Weerman, Hans Bennis, Rint Sybesma, Norbert Corver, Gunther De Vogelaer and Marjo van Koppen 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 i

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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