Rod Nason

13 papers receiving 318 citations

Peers

Rod Nason
Comparison fields: 5 of 50
  • Education 234
  • Developmental and Educational Psychology 100
  • Statistics and Probability 83
  • Artificial Intelligence 71
  • Computer Science Applications 69
Replace Peter Boon with:
Peter Boon Netherlands
Jack Lochhead United States
Karen Hollebrands United States
Theodosia Prodromou Australia
David Niemi United States
Eirini Geraniou United Kingdom
B. Kissane Australia
Monica Wijers Netherlands
June Mark United States
Gilbert Greefrath Germany
Rod Nason relative to Peter Boon Netherlands Peter Boon's profile →
Citations per field
00.5×2.6×
Peter Boon · 1×
Citations per year

Countries citing papers authored by Rod Nason

Since Specialization
Citations

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

Fields of papers citing papers by Rod Nason

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rod Nason

This figure shows the co-authorship network connecting the top 25 collaborators of Rod Nason. A scholar is included among the top collaborators of Rod Nason based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rod Nason. Rod Nason is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 77
2
Engaging students (and their teachers) in STEM through robotics
4
3
Retooling Chinese primary school teachers to use technology creatively to promote innovation and problem solving skills in science classrooms
3
4 21
5
Reforming the preparation of future STEM teachers
5
6 6
7
Two Thai teachers' perceptions of cooperative learning
0
8
Math Representation Tools for Facilitating Mathematical Knowledge-Building by Adult Prison-Inmate Learners
0
9
Group Metacognition in a Computer-Supported Collaborative Learning Environment
9
10 34
11 4
12 109
13 3
14
Applications of simulated students: an exploration
85
15 6

About Rod Nason

Rod Nason is a scholar working on Developmental and Educational Psychology, Human Factors and Ergonomics and Computer Science Applications, having authored 15 papers that have together received 366 indexed citations. Recurring topics across this work include Innovative Teaching and Learning Methods (7 papers), Online and Blended Learning (5 papers) and Science Education and Pedagogy (4 papers). The work is most often cited by research in Computer Science Applications (69 citations), Statistics and Probability (83 citations) and Education (234 citations). Rod Nason has collaborated with scholars based in Australia and United States. Frequent co-authors include Annette R. Baturo, Christina Chalmers, Stellan Ohlsson, Kurt VanLehn, Tom Cooper, Kathy Charles, John Lidstone, Rod Gerber, Clare Brett and Peter Lloyd. Their work appears in journals such as Educational Studies in Mathematics, Research in Science 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026