Applied Linguistics Review

548 papers and 6.2k indexed citations i.

About

The 548 papers published in Applied Linguistics Review in the last decades have received a total of 6.2k indexed citations. Papers published in Applied Linguistics Review usually cover Language and Linguistics (327 papers), Literature and Literary Theory (255 papers) and Linguistics and Language (248 papers) specifically the topics of Multilingual Education and Policy (241 papers), EFL/ESL Teaching and Learning (200 papers) and Second Language Learning and Teaching (171 papers). The most active scholars publishing in Applied Linguistics Review are Suresh Canagarajah, Ofelia Garcı́a, Ricardo Otheguy, Wallis Reid, Jean–Marc Dewaele, Mila Schwartz, Chengchen Li, Angel M. Y. Lin, Amos Paran and Ulrich Ammon.

In The Last Decade

Fields of papers published in Applied Linguistics Review

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Applied Linguistics Review. 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 Applied Linguistics Review.

Countries where authors publish in Applied Linguistics Review

Since Specialization
Citations

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