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.
Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior
20022.4k citationsMarios KoufarisInformation Systems Researchprofile →
The development of initial trust in an online company by new customers
Countries citing papers authored by Marios Koufaris
Since
Specialization
Citations
This map shows the geographic impact of Marios Koufaris'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 Marios Koufaris with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marios Koufaris more than expected).
This network shows the impact of papers produced by Marios Koufaris. 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 Marios Koufaris. The network helps show where Marios Koufaris may publish in the future.
Co-authorship network of co-authors of Marios Koufaris
This figure shows the co-authorship network connecting the top 25 collaborators of Marios Koufaris.
A scholar is included among the top collaborators of Marios Koufaris 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 Marios Koufaris. Marios Koufaris is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Moussawi, Sara & Marios Koufaris. (2015). Working on Low-Paid Micro-Task Crowdsourcing Platforms: An Existence, Relatedness and Growth View. International Conference on Information Systems.8 indexed citations
Moussawi, Sara & Marios Koufaris. (2013). The Crowd on the Assembly Line: Designing Tasks for a Better Crowdsourcing Experience. International Conference on Information Systems.19 indexed citations
Kamis, Arnold, et al.. (2008). Using an Attribute-Based Decision Support System for User-Customized Products Online: An Experimental Investigation. Journal of the Association for Information Systems.36 indexed citations
Kamis, Arnold, et al.. (2004). Online Mass Customization and the Customer Experience. Journal of the Association for Information Systems. 481.2 indexed citations
16.
Koufaris, Marios. (2002). Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior. Information Systems Research. 13(2). 205–223.2406 indexed citations breakdown →
17.
Koufaris, Marios. (2001). System design and consumer behavior in electronic commerce. UMI eBooks.5 indexed citations
18.
Kambil, Ajit, Arnold Kamis, Marios Koufaris, & Priscilla A. LaBarbera. (2000). Marketing in Electronic Commerce - Introduction.. Hawaii International Conference on System Sciences.
19.
Kamis, Arnold, et al.. (1998). The Extended RMM Methodology for Web Publishing. SSRN Electronic Journal.20 indexed citations
20.
Isakowitz, Tomás, Arnold Kamis, & Marios Koufaris. (1996). Extending the Capabilities of Rmm: Russian Dolls and Hypertext. The Faculty Digital Archive (New York University).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.