Joan Garfield

58 papers and 2.9k indexed citations i.

About

Joan Garfield is a scholar working on Statistics and Probability, Education and Artificial Intelligence. According to data from OpenAlex, Joan Garfield has authored 58 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Statistics and Probability, 28 papers in Education and 4 papers in Artificial Intelligence. Recurrent topics in Joan Garfield’s work include Statistics Education and Methodologies (46 papers), Innovations in Educational Methods (20 papers) and Educational Assessment and Pedagogy (9 papers). Joan Garfield is often cited by papers focused on Statistics Education and Methodologies (46 papers), Innovations in Educational Methods (20 papers) and Educational Assessment and Pedagogy (9 papers). Joan Garfield collaborates with scholars based in United States, Israel and Iceland. Joan Garfield's co-authors include Dani Ben‐Zvi, Robert C. delMas, Beth Chance, Andrew Ahlgren, Iddo Gal, Andrew Zieffler, Ann Ooms, Cary J. Roseth, Candace Schau and Bob Hogg and has published in prestigious journals such as The American Statistician, Journal for Research in Mathematics Education and International Statistical Review.

In The Last Decade

Co-authorship network of co-authors of Joan Garfield i

Fields of papers citing papers by Joan Garfield

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joan Garfield. 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 Joan Garfield. The network helps show where Joan Garfield may publish in the future.

Countries citing papers authored by Joan Garfield

Since Specialization
Citations

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