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.
Mining meaning from online ratings and reviews: Tourist satisfaction analysis using latent dirichlet allocation
2016746 citationsYue Guo, Stuart J. Barnes et al.profile →
Countries citing papers authored by Stuart J. Barnes
Since
Specialization
Citations
This map shows the geographic impact of Stuart J. Barnes'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 Stuart J. Barnes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stuart J. Barnes more than expected).
Fields of papers citing papers by Stuart J. Barnes
This network shows the impact of papers produced by Stuart J. Barnes. 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 Stuart J. Barnes. The network helps show where Stuart J. Barnes may publish in the future.
Co-authorship network of co-authors of Stuart J. Barnes
This figure shows the co-authorship network connecting the top 25 collaborators of Stuart J. Barnes.
A scholar is included among the top collaborators of Stuart J. Barnes 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 Stuart J. Barnes. Stuart J. Barnes is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Guo, Yue & Stuart J. Barnes. (2012). Explaining Purchasing Behavior within World of Warcraft. Journal of Computer Information Systems. 52(3). 18–30.67 indexed citations
8.
Barnes, Stuart J., et al.. (2011). Testing a Model of Continued Usage for Micro-blogging Services: The Case of Twitter. Kent Academic Repository (University of Kent).5 indexed citations
9.
Barnes, Stuart J. & George Chryssochoidis. (2010). From Fiction to Fact: Exploring the Defictionalization of Brands in Media. Kent Academic Repository (University of Kent).2 indexed citations
10.
Barnes, Stuart J. & Jan Mattsson. (2009). Testing an Axiological Model for Assessing the Value of Real-Life Brands in Virtual Worlds. Kent Academic Repository (University of Kent).3 indexed citations
11.
Barnes, Stuart J. & Andrew D. Pressey. (2009). Who Needs Cyberspace? An Analysis of Maslow’s Needs in Second Life.. UEA Digital Repository (University of East Anglia).1 indexed citations
Barnes, Stuart J. & Andrew D. Pressey. (2008). The Virtual Maven: A Study of Market Maven Behavior in Physical, Web and Virtual World Channels. Lancaster EPrints (Lancaster University).3 indexed citations
Barnes, Stuart J.. (2004). The Impact of Wireless Data Technologies in New Zealand. 60–64.1 indexed citations
18.
Barnes, Stuart J.. (2001). "Big in Japan" - IMode and the Mobile Internet. Journal of the Association for Information Systems. 3(4). 8.14 indexed citations
19.
Barnes, Stuart J., et al.. (2001). Web content management. Journal of the Association for Information Systems. 47.22 indexed citations
20.
Barnes, Stuart J. & David Targett. (1999). A framework for strategic information systems implementation in the United Kingdom health sector.. PubMed. 19(4). 62–74.6 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.