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.
Evaluating replicability of laboratory experiments in economics
2016727 citationsTeck‐Hua Ho, Taizan Chan et al.profile →
Re-conceptualizing Information System Success: The IS-Impact Measurement Model
2008495 citationsGuy G. Gable, Darshana Sedera et al.Journal of the Association for Information Systemsprofile →
Citations per year, relative to Taizan Chan Taizan Chan (= 1×)
peers
Roger Lindsay
Countries citing papers authored by Taizan Chan
Since
Specialization
Citations
This map shows the geographic impact of Taizan Chan'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 Taizan Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taizan Chan more than expected).
This network shows the impact of papers produced by Taizan Chan. 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 Taizan Chan. The network helps show where Taizan Chan may publish in the future.
Co-authorship network of co-authors of Taizan Chan
This figure shows the co-authorship network connecting the top 25 collaborators of Taizan Chan.
A scholar is included among the top collaborators of Taizan Chan 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 Taizan Chan. Taizan Chan is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Xu, Yue, et al.. (2015). Susceptibility to social engineering in social networking sites: The case of Facebook. QUT ePrints (Queensland University of Technology).10 indexed citations
2.
Xu, Yue, et al.. (2014). SOCIAL ENGINEERING IN SOCIAL NETWORKING SITES: HOW GOOD BECOMES EVIL. Journal of the Association for Information Systems. 271.11 indexed citations
3.
Xu, Yue, et al.. (2014). Social engineering in social networking sites : the art of impersonation. QUT ePrints (Queensland University of Technology).6 indexed citations
4.
Chan, Taizan, et al.. (2014). Identifying Satisfaction Factors in Tertiary Education: The case of an Information Systems Program. Journal of the Association for Information Systems.1 indexed citations
5.
Edwards, Sylvia L., et al.. (2013). Cultural impact on e-service use in Saudi Arabia: The need for Service Oriented Culture. QUT ePrints (Queensland University of Technology).2 indexed citations
6.
Edwards, Sylvia L., et al.. (2013). Cultural impact on e-service use in Saudi Arabia: The need for interaction with other humans. QUT ePrints (Queensland University of Technology). 3(2).10 indexed citations
7.
Othman, Mohd Fairuz Iskandar, et al.. (2013). Typology of phishing email victims based on their behavioural response. QUT ePrints (Queensland University of Technology).2 indexed citations
8.
Chan, Taizan, et al.. (2012). Who is more susceptible to phishing emails? : a Saudi Arabian study. Journal of the Association for Information Systems. 1–11.17 indexed citations
9.
Yee, Jonathan, Felix Ter Chian Tan, & Taizan Chan. (2009). A preliminary decision model for shared services : insights from an Australian university context. Journal of the Association for Information Systems. 492.6 indexed citations
10.
Chan, Taizan. (2008). A GROUNDED STUDY OF INFORMATION SYSTEMS IN ANAESTHESIA. Journal of the Association for Information Systems.
11.
Delaney, Patrick, et al.. (2008). Developing a Model of Technology Appropriation: A Marxian Perspective. Journal of the Association for Information Systems. 191.
Delaney, Patrick, et al.. (2005). A STRUCTURATIONIST REVIEW OF KNOWLEDGE MANAGEMENT THEORIES. Journal of the Association for Information Systems.7 indexed citations
14.
Sedera, Darshana, Guy G. Gable, & Taizan Chan. (2004). A Factor and Structural Equation Analysis of the Enterprise Systems Success Measurement Model.. Journal of the Association for Information Systems. 449–464.168 indexed citations
15.
Sedera, Darshana, Guy G. Gable, & Taizan Chan. (2004). Knowledge management as an antecedent of Enterprise System success. Journal of the Association for Information Systems. 19.11 indexed citations
16.
Gable, Guy G., Darshana Sedera, & Taizan Chan. (2003). ENTERPRISE SYSTEMS SUCCESS: A MEASUREMENT MODEL. Journal of the Association for Information Systems. 576–591.231 indexed citations
17.
Sedera, Darshana, Guy G. Gable, & Taizan Chan. (2003). ERP success: Does organisation Size Matter?. Journal of the Association for Information Systems. 74.11 indexed citations
18.
Sedera, Darshana, Guy G. Gable, & Taizan Chan. (2003). Survey design: Insights from a public sector-ERP success study. Journal of the Association for Information Systems. 41.10 indexed citations
19.
Sedera, Darshana, Guy G. Gable, & Taizan Chan. (2003). Knowledge management for ERP success. Journal of the Association for Information Systems. 97.41 indexed citations
20.
Chan, Taizan, et al.. (1994). Timing of Software Replacement. Journal of the Association for Information Systems.3 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.