Nerida F. Ellerton

1.9k citations
38 papers · 1.0k indexed · h-index 15

Nerida F. Ellerton

35 papers receiving 910 citations

Peers

Nerida F. Ellerton
Comparison fields: 5 of 112
  • Statistics and Probability 255
  • Education 638
  • Developmental and Educational Psychology 241
  • Applied Mathematics 117
  • Computer Science Applications 52
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Citations per year

Countries citing papers authored by Nerida F. Ellerton

Since Specialization
Citations

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

Fields of papers citing papers by Nerida F. Ellerton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nerida F. Ellerton. 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 Nerida F. Ellerton. The network helps show where Nerida F. Ellerton may publish in the future.

Co-authorship network

The 11 scholars most cited alongside Nerida F. Ellerton, 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 Nerida F. Ellerton Line = papers co-authored together Nerida F. Ellerton links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20176
2 201576
3 201578
4 201418
5 20143
6 20125
7
Problem posing in mathematics learning and teaching: A research agenda
20119
8 20072
9 20048
10
Mathematics education research : past, present and future
199625
11 19940
12 19931
13
Mathematics in language : a review of language factors in mathematics learning
199132
14
Polya, Krutetskii and the restaurant problem : reflections on problem solving in school mathematics
19911
15
School mathematics : the challenge to change
198932
16
The interface between mathematics and language
19895
17 1986128
18 1983147
19 19822
20 196963

About Nerida F. Ellerton

Nerida F. Ellerton is a scholar working on Theoretical Computer Science, Computer Science Applications and Statistics and Probability, having authored 38 papers that have together received 1.0k indexed citations. Recurring topics across this work include Mathematics Education and Teaching Techniques (16 papers), Cognitive and developmental aspects of mathematical skills (6 papers), History and Theory of Mathematics (5 papers), Science Education and Pedagogy (5 papers), Teaching and Learning Programming (4 papers), Mathematics Education and Pedagogy (4 papers), Mathematics Education and Programs (3 papers) and Educational Assessment and Pedagogy (2 papers). The work is most often cited by research in Statistics and Probability (255 citations), Education (638 citations) and Developmental and Educational Psychology (241 citations). Nerida F. Ellerton has collaborated with scholars based in United States, Australia and New Zealand. Frequent co-authors include Jinfa Cai, Florence Mihaela Singer, M. A. Clements, H. David Ellerton, Heather Robinson, Irvin Isenberg, Gerard J. Fogarty, Maxey Ching Ming Chung, Gilah C. Leder and Xiaofen Zhang. Their work appears in journals such as Bioresource Technology, Biochemical and Biophysical Research Communications and Biopolymers.

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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