Acta Ethnographica Hungarica

258 papers and 318 indexed citations i.

About

The 258 papers published in Acta Ethnographica Hungarica in the last decades have received a total of 318 indexed citations. Papers published in Acta Ethnographica Hungarica usually cover Sociology and Political Science (56 papers), Political Science and International Relations (52 papers) and Literature and Literary Theory (38 papers) specifically the topics of Folklore, Mythology, and Literature Studies (33 papers), Culinary Culture and Tourism (18 papers) and Religious Studies and Spiritual Practices (18 papers). The most active scholars publishing in Acta Ethnographica Hungarica are Judit Farkas, Wolfgang Mieder, Dániel Babai, Andrea Dénes, Christie Davies, Anna Varga, József Kovács, Leonard Norman Primiano, Gábor Barna and Csaba Mészáros.

In The Last Decade

Fields of papers published in Acta Ethnographica Hungarica

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Acta Ethnographica Hungarica. 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 Acta Ethnographica Hungarica.

Countries where authors publish in Acta Ethnographica Hungarica

Since Specialization
Citations

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