Mathematical Thinking and Learning

438 papers and 11.7k indexed citations i.

About

The 438 papers published in Mathematical Thinking and Learning in the last decades have received a total of 11.7k indexed citations. Papers published in Mathematical Thinking and Learning usually cover Education (377 papers), Statistics and Probability (265 papers) and Developmental and Educational Psychology (122 papers) specifically the topics of Mathematics Education and Teaching Techniques (330 papers), Cognitive and developmental aspects of mathematical skills (202 papers) and Statistics Education and Methodologies (97 papers). The most active scholars publishing in Mathematical Thinking and Learning are Judit Moschkovich, Luis Radford, Koeno Gravemeijer, Martin A. Simon, Na’ilah Suad Nasir, Paul Cobb, Jinfa Cai, Douglas H. Clements, Julie Sarama and Richard Lesh.

In The Last Decade

Fields of papers published in Mathematical Thinking and Learning

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Mathematical Thinking and Learning. 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 Mathematical Thinking and Learning.

Countries where authors publish in Mathematical Thinking and Learning

Since Specialization
Citations

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