Katie Makar

43 papers and 711 indexed citations i.

About

Katie Makar is a scholar working on Statistics and Probability, Education and Artificial Intelligence. According to data from OpenAlex, Katie Makar has authored 43 papers receiving a total of 711 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Statistics and Probability, 29 papers in Education and 4 papers in Artificial Intelligence. Recurrent topics in Katie Makar’s work include Statistics Education and Methodologies (28 papers), Mathematics Education and Teaching Techniques (21 papers) and Science Education and Pedagogy (9 papers). Katie Makar is often cited by papers focused on Statistics Education and Methodologies (28 papers), Mathematics Education and Teaching Techniques (21 papers) and Science Education and Pedagogy (9 papers). Katie Makar collaborates with scholars based in Australia, Israel and The Netherlands. Katie Makar's co-authors include Dani Ben‐Zvi, Andee Rubin, Arthur Bakker, Jere Confrey, Jill Fielding-Wells, Merrilyn Goos, Shelley Dole, Mia O’Brien, Helen M. Doerr and Robert C. delMas and has published in prestigious journals such as Educational Studies in Mathematics, Instructional Science and International Journal of Educational Research.

In The Last Decade

Co-authorship network of co-authors of Katie Makar i

Fields of papers citing papers by Katie Makar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Katie Makar

Since Specialization
Citations

This map shows the geographic impact of Katie Makar'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 Katie Makar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katie Makar 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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2025