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.
Viewing mobile learning from a pedagogical perspective
2012362 citationsMatthew Kearney, Sandy Schuck et al.profile →
Mobile learning for science and mathematics school education: A systematic review of empirical evidence
2018199 citationsMatthew Kearney, Sandy Schuck et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
Countries citing papers authored by Peter Aubusson
Since
Specialization
Citations
This map shows the geographic impact of Peter Aubusson'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 Peter Aubusson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Aubusson more than expected).
This network shows the impact of papers produced by Peter Aubusson. 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 Peter Aubusson. The network helps show where Peter Aubusson may publish in the future.
Co-authorship network of co-authors of Peter Aubusson
This figure shows the co-authorship network connecting the top 25 collaborators of Peter Aubusson.
A scholar is included among the top collaborators of Peter Aubusson 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 Peter Aubusson. Peter Aubusson is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Aubusson, Peter, et al.. (2019). Primary Connections: Linking science with literacy Stage 6 research evaluation final report. UTS ePRESS (University of Technology Sydney).7 indexed citations
Aubusson, Peter, et al.. (2015). Quality Learning and Teaching in Primary Science and Technology Literature Review. UTS ePRESS (University of Technology Sydney).2 indexed citations
7.
Aubusson, Peter, Paul F. Burke, Sandy Schuck, Matthew Kearney, & Bart D. Frischknecht. (2014). Teachers Choosing Rich Tasks. Educational Researcher. 43(5). 219–229.32 indexed citations
Burden, Kevin, Sandy Schuck, & Peter Aubusson. (2012). M-Research: Ethical issues in researching young people's use of mobile devices. Repository@Hull (Worktribe) (University of Hull).2 indexed citations
Schuck, Sandy, Peter Aubusson, & Matthew Kearney. (2010). Web 2.0 in the Classroom? Dilemmas and Opportunities Inherent in Adolescent Web 2.0 Engagement. Contemporary issues in technology and teacher education. 10(2). 234–246.16 indexed citations
Aubusson, Peter & Sandy Schuck. (2008). Teacher learning and development : the mirror maze. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)).8 indexed citations
15.
Schuck, Sandy, Matthew Kearney, & Peter Aubusson. (2008). Education, opportunities and challenges for Generation OurSpace: Taming the beast?. EdMedia: World Conference on Educational Media and Technology. 2008(1). 5804–5811.2 indexed citations
16.
Dinham, Stephen, Peter Aubusson, & Laurie Brady. (2008). Distributed Leadership as a Factor in and Outcome of Teacher Action Learning, 12(4). UTS ePRESS (University of Technology Sydney). 12(4).9 indexed citations
Aubusson, Peter & Kevin Watson. (2002). Packaging constructivist science teaching in a curriculum resource. Asia-Pacific Forum on Science Learning and Teaching.4 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.