Meta Journal des traducteurs

2.0k papers and 10.5k indexed citations i.

About

The 2.0k papers published in Meta Journal des traducteurs in the last decades have received a total of 10.5k indexed citations. Papers published in Meta Journal des traducteurs usually cover Language and Linguistics (1.4k papers), Philosophy (389 papers) and Artificial Intelligence (290 papers) specifically the topics of Translation Studies and Practices (1.1k papers), linguistics and terminology studies (556 papers) and Discourse Analysis and Argumentation Studies (368 papers). The most active scholars publishing in Meta Journal des traducteurs are Anthony Pym, Martine Danan, Amparo Hurtado Albir, Don Kiraly, Sara Laviosa, Yves Gambier, Maria Tymoczko, Sylvie Lambert, Lucía Molina and Juliane House.

In The Last Decade

Fields of papers published in Meta Journal des traducteurs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Meta Journal des traducteurs. 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 Meta Journal des traducteurs.

Countries where authors publish in Meta Journal des traducteurs

Since Specialization
Citations

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