Teaching Statistics

871 papers and 3.7k indexed citations
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About

The 871 papers published in Teaching Statistics in the last decades have received a total of 3.7k indexed citations. Papers published in Teaching Statistics usually cover Statistics and Probability (483 papers), Education (119 papers) and Artificial Intelligence (104 papers) specifically the topics of Statistics Education and Methodologies (441 papers), Data Analysis with R (71 papers) and Innovations in Educational Methods (47 papers). The most active scholars publishing in Teaching Statistics are Joseph G. Eisenhauer, Roger W. Johnson, Marcin Kozak, Lawrence M. Lesser, G. E. Noether, Joan Garfield, D. V. Lindley, Geoff Cumming, O. D. Anderson and Robert Gould.

In The Last Decade

Teaching Statistics

526 papers receiving 2.4k citations

Fields of papers published in Teaching Statistics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Teaching Statistics. 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 Teaching Statistics.

Countries where authors publish in Teaching Statistics

Since Specialization
Citations

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