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.
Consumer acceptance of online banking: an extension of the technology acceptance model
20041.3k citationsHeikki Karjaluoto, Seppo Pahnila et al.Internet Researchprofile →
Motivating IS security compliance: Insights from Habit and Protection Motivation Theory
2012526 citationsMikko Siponen, Seppo Pahnila et al.Information & Managementprofile →
Employees’ adherence to information security policies: An exploratory field study
2013357 citationsMikko Siponen, M. Adam Mahmood et al.Information & Managementprofile →
Toward a Unified Model of Information Security Policy Compliance1
2018317 citationsMikko Siponen, Seppo Pahnila et al.profile →
Employees' Behavior towards IS Security Policy Compliance
2007306 citationsSeppo Pahnila, Mikko Siponen et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Seppo Pahnila'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 Seppo Pahnila with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seppo Pahnila more than expected).
This network shows the impact of papers produced by Seppo Pahnila. 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 Seppo Pahnila. The network helps show where Seppo Pahnila may publish in the future.
Co-authorship network of co-authors of Seppo Pahnila
This figure shows the co-authorship network connecting the top 25 collaborators of Seppo Pahnila.
A scholar is included among the top collaborators of Seppo Pahnila 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 Seppo Pahnila. Seppo Pahnila is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Pahnila, Seppo, et al.. (2015). A Cultural Comparison of Open Innovation in Online Brand Communities. Journal of the Association for Information Systems. 195.1 indexed citations
3.
Pahnila, Seppo, et al.. (2013). Information Security Behavior: Towards Multi-Stage Models. Pacific Asia Conference on Information Systems. 102.10 indexed citations
4.
Siponen, Mikko, M. Adam Mahmood, & Seppo Pahnila. (2013). Employees’ adherence to information security policies: An exploratory field study. Information & Management. 51(2). 217–224.357 indexed citations breakdown →
Pahnila, Seppo & Juhani Warsta. (2012). Assessing The Factors That Have An Impact On Stickiness In Online Game Communities.. Pacific Asia Conference on Information Systems. 106.5 indexed citations
Mahmood, M. Adam, et al.. (2009). Measuring effectiveness of information systems security: An empirical research. Journal of the Association for Information Systems. 282.4 indexed citations
Pahnila, Seppo, Mikko Siponen, & M. Adam Mahmood. (2007). Which Factors Explain Employees’ Adherence to Information Security Policies? An Empirical Study. Pacific Asia Conference on Information Systems. 73.27 indexed citations
16.
Siponen, Mikko, Seppo Pahnila, & M. Adam Mahmood. (2006). A New Model for Understanding Users' IS Security Compliance. Pacific Asia Conference on Information Systems. 48.6 indexed citations
Karjaluoto, Heikki, et al.. (2004). Consumer acceptance of online banking: an extension of the technology acceptance model. Internet Research. 14(3). 224–235.1271 indexed citations breakdown →
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.