Maud Ciekanski

14 papers and 118 indexed citations i.

About

Maud Ciekanski is a scholar working on Language and Linguistics, Linguistics and Language and Literature and Literary Theory. According to data from OpenAlex, Maud Ciekanski has authored 14 papers receiving a total of 118 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Language and Linguistics, 9 papers in Linguistics and Language and 6 papers in Literature and Literary Theory. Recurrent topics in Maud Ciekanski’s work include French Language Learning Methods (9 papers), EFL/ESL Teaching and Learning (7 papers) and Second Language Learning and Teaching (6 papers). Maud Ciekanski is often cited by papers focused on French Language Learning Methods (9 papers), EFL/ESL Teaching and Learning (7 papers) and Second Language Learning and Teaching (6 papers). Maud Ciekanski collaborates with scholars based in France and Germany. Maud Ciekanski's co-authors include Thierry Chanier, Christophe Reffay and Alex Boulton and has published in prestigious journals such as Language learning & technology, Cambridge Journal of Education and ReCALL.

In The Last Decade

Co-authorship network of co-authors of Maud Ciekanski i

Fields of papers citing papers by Maud Ciekanski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maud Ciekanski

Since Specialization
Citations

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