Journal of Statistics Education

577 papers and 8.6k indexed citations i.

About

The 577 papers published in Journal of Statistics Education in the last decades have received a total of 8.6k indexed citations. Papers published in Journal of Statistics Education usually cover Statistics and Probability (449 papers), Education (209 papers) and Artificial Intelligence (70 papers) specifically the topics of Statistics Education and Methodologies (429 papers), Innovations in Educational Methods (143 papers) and Data Analysis with R (64 papers). The most active scholars publishing in Journal of Statistics Education are Joan Garfield, David P. Doane, Beth Chance, Deborah J. Rumsey, Robert C. delMas, Robert J. MacG. Dawson, Eric Langford, Paul T. von Hippel, Ulf Olsson and Lynda Ginsburg.

In The Last Decade

Fields of papers published in Journal of Statistics Education

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Journal of Statistics Education. 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 Statistics Education.

Countries where authors publish in Journal of Statistics Education

Since Specialization
Citations

This map shows the geographic impact of research published in Journal of Statistics Education. 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 Statistics Education 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 Statistics Education 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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