Journal of Child Language

2.3k papers and 74.0k indexed citations i.

About

The 2.3k papers published in Journal of Child Language in the last decades have received a total of 74.0k indexed citations. Papers published in Journal of Child Language usually cover Developmental and Educational Psychology (1.9k papers), Experimental and Cognitive Psychology (616 papers) and Language and Linguistics (615 papers) specifically the topics of Language Development and Disorders (1.6k papers), Reading and Literacy Development (1.0k papers) and Child and Animal Learning Development (571 papers). The most active scholars publishing in Journal of Child Language are Catherine E. Snow, Jerome S. Bruner, Brian MacWhinney, Elizabeth Bates, Meredith L. Rowe, Eve V. Clark, Michael Tomasello, Anat Ninio, Letitia Naigles and Jana M. Iverson.

In The Last Decade

Fields of papers published in Journal of Child Language

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Journal of Child Language. 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 Journal of Child Language.

Countries where authors publish in Journal of Child Language

Since Specialization
Citations

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