Moffat Mathews

21 papers receiving 127 citations

Peers

Moffat Mathews
Comparison fields: 5 of 43
  • Computer Science Applications 49
  • Human-Computer Interaction 18
  • Developmental and Educational Psychology 40
  • Experimental and Cognitive Psychology 22
  • Artificial Intelligence 53
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Countries citing papers authored by Moffat Mathews

Since Specialization
Citations

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

Fields of papers citing papers by Moffat Mathews

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Moffat Mathews, 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 Moffat Mathews Line = papers co-authored together Moffat Mathews links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201921
2 201615
3 202112
4 201612
5 201111
6 201210
7
Evolution of wireless LAN security architecture to IEEE 802.11i (WPA2)
20079
8 20198
9 20207
10 20076
11
A Virtual Reality Environment for Prospective Memory Training.
20145
12 20164
13
Do Students Who See More Concepts in an ITS Learn More
20083
14 20123
15 20172
16
Does Framing a Problem-Solving Scenario Influence Learning?
20092
17
The Effect of Problem Templates on Learning in Intelligent Tutoring Systems
20072
18
Concept Tagging in Moodle
20122
19
Using Numeric Optimization To Refine Semantic User Model Integration Of Adaptive Educational Systems.
20102
20
Incorporating Framing into SQL-Tutor
20112

About Moffat Mathews

Moffat Mathews is a scholar working on Artificial Intelligence, Developmental and Educational Psychology, Experimental and Cognitive Psychology, Computer Science Applications and Education, having authored 21 papers that have together received 139 indexed citations. Recurring topics across this work include Intelligent Tutoring Systems and Adaptive Learning (12 papers), Innovative Teaching and Learning Methods (9 papers), Visual and Cognitive Learning Processes (5 papers), AI-based Problem Solving and Planning (4 papers), Cognitive Functions and Memory (3 papers), Online Learning and Analytics (3 papers), Open Education and E-Learning (2 papers) and Software Engineering Research (2 papers). The work is most often cited by research in Computer Science Applications (49 citations), Human-Computer Interaction (18 citations), Developmental and Educational Psychology (40 citations), Experimental and Cognitive Psychology (22 citations) and Artificial Intelligence (53 citations). Moffat Mathews has collaborated with scholars based in New Zealand, United States and Australia. Frequent co-authors include Antonija Mitrović, Stellan Ohlsson, Ray Hunt, Audrey McKinlay, Matthias Galster, Brent Martin, Pramuditha Suraweera, Peter Brusilovsky, Michael Yudelson and Raphaël Grasset. Their work appears in journals such as IEEE Transactions on Learning Technologies, IEEE Transactions on Education, International Journal of Artificial Intelligence in Education, Knowledge-Based Systems and Journal of Applied Research in Memory and Cognition.

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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