John Mason

5.2k citations
87 papers · 2.4k indexed · h-index 24

Impact in

Papers in

John Mason

78 papers receiving 2.2k citations

Peers

John Mason
Comparison fields: 5 of 110
  • Statistics and Probability 910
  • Theoretical Computer Science 88
  • Education 2.1k
  • Developmental and Educational Psychology 598
  • Computer Science Applications 134
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Citations per field
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Citations per year

Countries citing papers authored by John Mason

Since Specialization
Citations

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

Fields of papers citing papers by John Mason

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside John Mason, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with John Mason Line = papers co-authored together John Mason links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20250
4 20242
5 20191
6
THE EXERCISE AS MATHEMATICAL OBJECT: DIMENSIONS OF POSSIBLE VARIATION IN PRACTICE
20152
7 20141
8
Listening Counts: Listening to Young Learners of Mathematics
20091
9 200930
10 20081
11 200813
12 2006121
13
Classics in Mathematics Education Research
200525
14 20011
15
Learning Mathematics through Conversation: Is It as Good as They Say?.
199883
16 19931
17 19901
18
When is a Symbol Symbolic
198011
19 197210
20 19711

About John Mason

John Mason is a scholar working on Theoretical Computer Science, Statistics and Probability, Education, Computer Science Applications and Developmental and Educational Psychology, having authored 87 papers that have together received 2.4k indexed citations. Recurring topics across this work include Mathematics Education and Teaching Techniques (38 papers), Cognitive and developmental aspects of mathematical skills (18 papers), Innovative Teaching and Learning Methods (10 papers), Statistics Education and Methodologies (9 papers), Science Education and Pedagogy (6 papers), History and Theory of Mathematics (6 papers), Visual and Cognitive Learning Processes (5 papers) and Education and Critical Thinking Development (5 papers). The work is most often cited by research in Statistics and Probability (910 citations), Theoretical Computer Science (88 citations), Education (2.1k citations), Developmental and Educational Psychology (598 citations) and Computer Science Applications (134 citations). John Mason has collaborated with scholars based in United Kingdom, Hong Kong and United States. Frequent co-authors include Anne Watson, David Pimm, Bárbara Allen, Sue Johnston‐Wilder, Max Stephens, Andrew J. Watson, Brent Davis, P. Light, Anna Sfard and Pearla Nesher. Their work appears in journals such as Journal of Mathematics Teacher Education, ZDM, Educational Studies in Mathematics, Research in Mathematics Education and International Journal of Science and Mathematics Education.

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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