Journal of American Folklore

3.6k papers and 28.6k indexed citations i.

About

The 3.6k papers published in Journal of American Folklore in the last decades have received a total of 28.6k indexed citations. Papers published in Journal of American Folklore usually cover Literature and Literary Theory (1.0k papers), Sociology and Political Science (544 papers) and Anthropology (391 papers) specifically the topics of Folklore, Mythology, and Literature Studies (847 papers), Music History and Culture (272 papers) and Diverse Musicological Studies (134 papers). The most active scholars publishing in Journal of American Folklore are Dell Hymes, Claude Lévi‐Strauss, Roger D. Abrahams, Alan Dundes, Gary Alan Fine, William Bascom, Sarah Johnson, Keith H. Basso, Lila Abu‐Lughod and Albert Séchehaye.

In The Last Decade

Fields of papers published in Journal of American Folklore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Journal of American Folklore. 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 American Folklore.

Countries where authors publish in Journal of American Folklore

Since Specialization
Citations

This map shows the geographic impact of research published in Journal of American Folklore. 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 American Folklore 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 American Folklore 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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