Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Augmented Reality in education – cases, places and potentials
How is the use of technology in education evaluated? A systematic review
2019184 citationsJennifer W. M. Lai, Matt Bowerprofile →
How should we change teaching and assessment in response to increasingly powerful generative Artificial Intelligence? Outcomes of the ChatGPT teacher survey
202481 citationsMatt Bower, Jennifer W. M. Lai et al.Education and Information Technologiesprofile →
Author Peers
Peers are selected by citation overlap in the author's most active subfields.
citations ·
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This map shows the geographic impact of Matt Bower'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 Matt Bower with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matt Bower more than expected).
This network shows the impact of papers produced by Matt Bower. 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 Matt Bower. The network helps show where Matt Bower may publish in the future.
Co-authorship network of co-authors of Matt Bower
This figure shows the co-authorship network connecting the top 25 collaborators of Matt Bower.
A scholar is included among the top collaborators of Matt Bower 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 Matt Bower. Matt Bower is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Bower, Matt, et al.. (2024). How should we change teaching and assessment in response to increasingly powerful generative Artificial Intelligence? Outcomes of the ChatGPT teacher survey. Education and Information Technologies.81 indexed citations breakdown →
Bower, Matt & Katrina Falkner. (2015). Computational Thinking, the Notional Machine, Pre-service Teachers, and Research Opportunities. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 37–46.37 indexed citations
Bower, Matt, et al.. (2011). A Comparison of LAMS and Moodle as learning design technologies - teacher education students' perspective. Teaching English With Technology. 11(1). 62–80.12 indexed citations
15.
Bower, Matt & Meeri Hellstén. (2010). An Institutional Study of Learning and Teaching Using Web-Conferencing. Global Learn. 2010(1). 4168–4177.2 indexed citations
Bower, Matt. (2005). Online assessment feedback: competitive, individualistic, or… preferred form!. Journal of Computers in Mathematics and Science Teaching. 24(2). 121–147.10 indexed citations
20.
Bower, Matt. (2004). The effect of receiving the preferred form of online assessment feedback upon middle school mathematics students. Annual Conference on Computers. 462–467.2 indexed citations
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.