Maxine Pfannkuch

40 papers and 1.1k indexed citations i.

About

Maxine Pfannkuch is a scholar working on Statistics and Probability, Education and Artificial Intelligence. According to data from OpenAlex, Maxine Pfannkuch has authored 40 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Statistics and Probability, 18 papers in Education and 9 papers in Artificial Intelligence. Recurrent topics in Maxine Pfannkuch’s work include Statistics Education and Methodologies (37 papers), Innovations in Educational Methods (8 papers) and Data Analysis with R (8 papers). Maxine Pfannkuch is often cited by papers focused on Statistics Education and Methodologies (37 papers), Innovations in Educational Methods (8 papers) and Data Analysis with R (8 papers). Maxine Pfannkuch collaborates with scholars based in New Zealand, United States and Brazil. Maxine Pfannkuch's co-authors include C. Wild, Stephanie Budgett, Nicholas J. Horton, J. Michael Shaughnessy, Dani Ben‐Zvi, Chris Reading, Ilze Ziediņš, Gail Burrill, Michael Thomas and Rachel M. Fewster and has published in prestigious journals such as Journal of the Royal Statistical Society Series A (Statistics in Society), Statistical Science and International Statistical Review.

In The Last Decade

Co-authorship network of co-authors of Maxine Pfannkuch i

Fields of papers citing papers by Maxine Pfannkuch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maxine Pfannkuch. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Maxine Pfannkuch. The network helps show where Maxine Pfannkuch may publish in the future.

Countries citing papers authored by Maxine Pfannkuch

Since Specialization
Citations

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