Languages in Contrast

239 papers and 1.2k indexed citations

About

The 239 papers published in Languages in Contrast in the last decades have received a total of 1.2k indexed citations. Papers published in Languages in Contrast usually cover Language and Linguistics (205 papers), Experimental and Cognitive Psychology (85 papers) and Artificial Intelligence (60 papers) specifically the topics of Language, Metaphor, and Cognition (74 papers), linguistics and terminology studies (68 papers) and Syntax, Semantics, Linguistic Variation (67 papers). The most active scholars publishing in Languages in Contrast are Douglas Biber, Richard Xiao, Stella Neumann, Anna Mauranen, Gaëtanelle Gilquin, Erich Steiner, Sandrine Zufferey, Tony McEnery, Åke Viberg and Sylviane Granger.

In The Last Decade

Languages in Contrast

191 papers receiving 1.1k citations

Fields of papers published in Languages in Contrast

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Languages in Contrast. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Languages in Contrast.

Countries where authors publish in Languages in Contrast

Since Specialization
Citations

This map shows the geographic impact of research published in Languages in Contrast. 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 papers published in Languages in Contrast with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Languages in Contrast 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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