Jan Nuyts

131 total papers · 4.0k total citations
68 papers, 1.3k citations indexed

About

Jan Nuyts is a scholar working on Language and Linguistics, Artificial Intelligence and Linguistics and Language. According to data from OpenAlex, Jan Nuyts has authored 68 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Language and Linguistics, 13 papers in Artificial Intelligence and 9 papers in Linguistics and Language. Recurrent topics in Jan Nuyts's work include Syntax, Semantics, Linguistic Variation (19 papers), linguistics and terminology studies (14 papers) and Natural Language Processing Techniques (11 papers). Jan Nuyts is often cited by papers focused on Syntax, Semantics, Linguistic Variation (19 papers), linguistics and terminology studies (14 papers) and Natural Language Processing Techniques (11 papers). Jan Nuyts collaborates with scholars based in Belgium, Netherlands and Germany. Jan Nuyts's co-authors include Johan van der Auwera, Eric Pederson, Russell S. Tomlin, David McNeill, Mary Carroll, Stephen C. Levinson, Jay David Atlas, Balthasar Bickel, Paul Werth and Eve Sweetser and has published in prestigious journals such as Language, Journal of Pragmatics and International Journal of Language & Communication Disorders.

In The Last Decade

Jan Nuyts

63 papers receiving 1.1k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jan Nuyts 1.1k 549 264 257 214 68 1.3k
Diane Blakemore 1.1k 1.1× 719 1.3× 447 1.7× 238 0.9× 153 0.7× 32 1.5k
Hubert Cuyckens 795 0.8× 646 1.2× 150 0.6× 172 0.7× 169 0.8× 46 1.2k
Jean‐Christophe Verstraete 950 0.9× 444 0.8× 135 0.5× 270 1.1× 329 1.5× 58 1.3k
Frank Palmer 816 0.8× 318 0.6× 196 0.7× 214 0.8× 307 1.4× 48 1.1k
Kees Hengeveld 1.4k 1.4× 540 1.0× 203 0.8× 521 2.0× 432 2.0× 67 1.8k
Bert Peeters 749 0.7× 452 0.8× 186 0.7× 159 0.6× 201 0.9× 93 1.2k
Adrienne Lehrer 658 0.6× 503 0.9× 155 0.6× 258 1.0× 119 0.6× 43 1.2k
Johan van der Auwera 1.2k 1.2× 429 0.8× 120 0.5× 376 1.5× 432 2.0× 111 1.5k
Roger Fowler 503 0.5× 433 0.8× 352 1.3× 157 0.6× 208 1.0× 58 1.1k
W. P. Lehmann 841 0.8× 266 0.5× 173 0.7× 211 0.8× 432 2.0× 46 1.3k

Countries citing papers authored by Jan Nuyts

Since Specialization
Citations

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

Fields of papers citing papers by Jan Nuyts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Nuyts

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

All Works

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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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