Kay McClain

25 papers and 1.4k indexed citations i.

About

Kay McClain is a scholar working on Education, Statistics and Probability and Developmental and Educational Psychology. According to data from OpenAlex, Kay McClain has authored 25 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Education, 8 papers in Statistics and Probability and 7 papers in Developmental and Educational Psychology. Recurrent topics in Kay McClain’s work include Mathematics Education and Teaching Techniques (17 papers), Teacher Education and Leadership Studies (6 papers) and Innovative Teaching and Learning Methods (6 papers). Kay McClain is often cited by papers focused on Mathematics Education and Teaching Techniques (17 papers), Teacher Education and Leadership Studies (6 papers) and Innovative Teaching and Learning Methods (6 papers). Kay McClain collaborates with scholars based in United States, Greece and The Netherlands. Kay McClain's co-authors include Paul Cobb, Koeno Gravemeijer, Joy W. Whitenack, Michelle Stephan, Teruni Lamberg, Chrystal Dean, Erna Yackel, Magdalene Lampert, Anna Sfard and Janet Bowers and has published in prestigious journals such as Educational Researcher, Journal for Research in Mathematics Education and Journal of the Learning Sciences.

In The Last Decade

Co-authorship network of co-authors of Kay McClain i

Fields of papers citing papers by Kay McClain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kay McClain

Since Specialization
Citations

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