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.
Principles of canonical action research
2004502 citationsRobert M. Davison et al.Information Systems Journalprofile →
Social Support, Source Credibility, Social Influence, and Impulsive Purchase Behavior in Social Commerce
2019240 citationsXiayu Chen, Robert M. Davison et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Robert M. Davison
Since
Specialization
Citations
This map shows the geographic impact of Robert M. Davison'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 Robert M. Davison with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert M. Davison more than expected).
Fields of papers citing papers by Robert M. Davison
This network shows the impact of papers produced by Robert M. Davison. 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 Robert M. Davison. The network helps show where Robert M. Davison may publish in the future.
Co-authorship network of co-authors of Robert M. Davison
This figure shows the co-authorship network connecting the top 25 collaborators of Robert M. Davison.
A scholar is included among the top collaborators of Robert M. Davison 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 Robert M. Davison. Robert M. Davison is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Chen, Xiayu & Robert M. Davison. (2019). Self-Awareness or Context-Awareness? The Role of Awareness in Herd Behavior. Journal of the Association for Information Systems.3 indexed citations
8.
Ou, Carol Xiaojuan, et al.. (2016). The Social Networking Application Success Model. 6(1). 5–39.1 indexed citations
9.
Davison, Robert M. & Carol Xiaojuan Ou. (2014). Digital work in a pre-digital organizational culture. Journal of the Association for Information Systems.5 indexed citations
10.
Davison, Robert M. & Carol Xiaojuan Ou. (2013). Sharing Knowledge in Technology Deficient Environments: Individual Workarounds amid Corporate Restrictions. CityU Scholars. 23.11 indexed citations
11.
Davison, Robert M., et al.. (2012). Developing Organizational Agility Through IT and Supply Chain Capability. RMIT Research Repository (RMIT University Library). 1–16.6 indexed citations
12.
Yang, Xuan, Libo Liu, & Robert M. Davison. (2012). Reputation management in social commerce communities. Journal of the Association for Information Systems. 2194–2201.9 indexed citations
13.
Davison, Robert M.. (2010). Inclusive or exclusive? Methodological practice and policy for organisationally and socially relevant IS research. Journal of the Association for Information Systems. 111.2 indexed citations
14.
Davison, Robert M.. (2007). IM in C2C Markets: A Translucent Technology to Enable Transactions. Journal of the Association for Information Systems. 48.2 indexed citations
15.
Davison, Robert M. & Carol Xiaojuan Ou. (2007). Sharing Knowledge in China: Experiences in an SME. Journal of the Association for Information Systems. 32.1 indexed citations
16.
Wong, Ada Hiu Kan, Patrick Y.K. Chau, Harry Scarbrough, & Robert M. Davison. (2005). Critical Failure Factors in ERP Implementation. Journal of the Association for Information Systems. 40.61 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.